Jobs in Tel Aviv-Yafo

Description Agora is a leading SaaS and FinTech platform transforming how real estate investment firms manage their capital, investors, and operations. Trusted by 1000+ GPs, owners/operators, and investment firms globally, we help teams streamline the full lifecycle of investment management - from fundraising and onboarding to reporting, distributions, tax, and back-office automation. But we’re more than just software. We’re a team of bold thinkers, innovators, and real estate enthusiasts who believe complex processes should feel simple. Our platform combines modern technology with expert services, helping our customers raise more capital, deliver a better investor experience, and scale their businesses smarter. Agora is backed by top-tier VCs like Insight Partners and Qumra Capital, and we’re growing fast. We’ve been named one of Globes’ Most Promising Startups, recognized as a Best Start-Up Companies to Work For by Duns 100, and one of Business Insider’s Hottest PropTech Startups. About the Role We’re looking for a Communications and Content Lead to define and amplify how Agora sounds and shows up externally, and deliver high-performing campaigns that drive brand awareness, lead generation, and lead conversion. Reporting to the Director of Integrated Marketing, you'll lead brand strategy, thought leadership, PR, content, social media, and influencer marketing. You’ll help shape Agora’s positioning as a trusted, established, and differentiated category leader. This is a hands-on role that requires strategic thinking, strong execution, and the use of AI to scale both the quality and quantity of brand and performance content. You’ll have direct ownership of copy quality, consistency, and iteration, and work closely with Product Marketing, Growth, and Partnerships. What You'll Do • Own Agora's communications and content strategy • Lead our upcoming company rebrand to redefine our positioning, messaging, voice, and differentiation in the market. • Write and edit copy for paid channels, marketing emails, website content, landing pages, blogs, guides, organic socials, and customer stories. • Own social media strategy and execution: content calendar, voice, posting, and engagement across channels. • Manage PR and media relations hands-on, without relying on an external agency: building relationships with journalists, analysts, and industry voices directly, and driving high-impact earned media. • Launch and run Agora's influencer program: identify, recruit, and manage relationships with relevant real estate, fintech, and proptech influencers and creators to expand Agora's reach and credibility. • Build executive visibility, working with the CEO, CMO, and leadership team on speaking opportunities, thought leadership, media, awards, and executive communications. • Design and use AI-powered workflows to accelerate ideation, variation, versioning, and iteration of copy while maintaining quality. • Define and measure communications, brand, and performance KPIs, including awareness, trust, share of voice, social engagement, market perception, new customers acquired, and customer expansion. Requirements • 5+ years of experience in communications, PR, brand, or content, ideally in B2B SaaS, FinTech, PropTech, or another complex technology category. • An exceptional writer, editor, and storyteller who loves creating content, not just managing it. You enjoy turning ideas into campaigns, videos, social posts, blogs, and customer stories. • Proven, hands-on PR experience: pitching, writing, and securing coverage directly, without depending on an external agency to execute. • Proven experience building or evolving a brand and shifting market perception. • Experience building or running an influencer program from the ground up: sourcing partners, managing relationships, and measuring impact - a plus • Experience working closely with C-level executives. • Experience using AI tools to increase speed and scale without compromising quality. • A data-driven, entrepreneurial mindset and the ability to move seamlessly between big-picture strategy and hands-on execution. • Native-level English. What Sets You Apart You've helped turn a company into a recognized category leader, not simply by generating attention, but by building credibility, shaping perception, and creating a distinctive point of view, and you've done it with your own hands on the keyboard and the phone, not just by directing an agency. You know how to turn a story into coverage and a messy brief into clean copy. You’re equally comfortable pitching a journalist and writing a LinkedIn post, and you see communications and content as a growth driver, not simply a marketing function. Equal opportunity Agora is an equal opportunity employer. Consistent with our mission of serving a diverse and global audience, we value a diverse workforce and inclusive culture which reflects that. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, and veteran status. Please note that we use Spark Hire as part of our hiring process to review and assess job applications and related materials. This tool helps us screen applications more efficiently and ensure candidates meet the role requirements. As part of this process, we’ll handle your personal information in accordance with our Candidate Privacy Notice. You can review details here: Agora Candidate Privacy Notice. If you have any questions, feel free to reach out to us at [email protected].

Description Agora is a leading SaaS and FinTech platform transforming how real estate investment firms manage their capital, investors, and operations. Trusted by 1000+ GPs, owners/operators, and investment firms globally, we help teams streamline the full lifecycle of investment management - from fundraising and onboarding to reporting, distributions, tax, and back-office automation. But we’re more than just software. We’re a team of bold thinkers, innovators, and real estate enthusiasts who believe complex processes should feel simple. Our platform combines modern technology with expert services, helping our customers raise more capital, deliver a better investor experience, and scale their businesses smarter. Agora is backed by top-tier VCs like Insight Partners and Qumra Capital, and we’re growing fast. We’ve been named one of Globes’ Most Promising Startups, recognized as a Best Start-Up Companies to Work For by Duns 100, and one of Business Insider’s Hottest PropTech Startups. The role The Growth Lead runs Agora's growth engine and owns the pipeline it creates. You will manage the full growth team: growth engineering, user acquisition and marketing operations. You set the plan, decide where the budget goes, and hold every channel to the pipeline and revenue it drives, not the leads it reports. You're a hands-on manager: you still open the ad account, read the funnel data and fix the landing page that isn't converting. What you'll do • Own the number. Own marketing-sourced pipeline and what it costs to create. Set quarterly targets by channel and report progress every week. • Lead the team. Manage the owners of growth engineering, user acquisition and marketing ops. Set their goals, coach them, and hire as the team grows. • Run paid acquisition. Own budget, bidding, audiences and creative testing across Google, LinkedIn, Meta and new paid partners. Measure it on cost per opportunity and per customer, not cost per lead. • Grow organic and AI search. Own SEO, AEO (visibility in ChatGPT, Perplexity and Google AI Overviews), landing pages and conversion rate optimization. • Turn accounts into pipeline. Own ABM, intent signals and email nurture that move target accounts toward a sales conversation. • Make the data trustworthy. Own attribution, HubSpot lifecycle, lead routing and reporting, so every dollar ties to opportunities and closed revenue. • Work with sales. Partner with SDR and sales leaders on lead handoff, speed to lead and lead quality. • Keep testing. Run a steady cadence of experiments in new channels, offers and AI workflows. Scale what works, cut what doesn't. Requirements • 6+ years in growth or performance marketing, including 5+ years in user acquisition with hands-on ownership of paid budgets. • 2+ years managing marketers directly, not only agencies or freelancers. • B2B experience. You've optimized paid spend to pipeline and revenue in a funnel with a sales team, not to installs or sign-ups. • Experience working directly with SDRs and AEs to move marketing's leads through the funnel, from first meeting to closed revenue. • A record of lowering cost per opportunity while scaling spend, with numbers to show for it. • Hands-on experience building and running ABM and email marketing programs yourself, not only overseeing them. • Working depth across the growth mix: SEO and AEO, CRO, website, events and webinars, and attribution. • Fluency with data. You build your own analysis in HubSpot or Salesforce, GA4 and spreadsheets, without waiting for an analyst. • You use AI tools every day to move faster, from research and copy to automation. • Excellent written and spoken English. You'll work daily with US sales teams and customers. What sets you apart • You've scaled pipeline at a B2B SaaS or fintech company selling high-value contracts to a niche audience. • Experience in real estate, proptech, fintech or financial services. • You've built an attribution model from scratch. Equal opportunity Agora is an equal opportunity employer. Consistent with our mission of serving a diverse and global audience, we value a diverse workforce and inclusive culture which reflects that. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, and veteran status. Please note that we use Spark Hire as part of our hiring process to review and assess job applications and related materials. This tool helps us screen applications more efficiently and ensure candidates meet the role requirements. As part of this process, we’ll handle your personal information in accordance with our Candidate Privacy Notice. You can review details here: Agora Candidate Privacy Notice. If you have any questions, feel free to reach out to us at [email protected].

The team + the role The Mobile SDK team at Pendo develops and maintains the Pendo mobile product — our native SDKs for iOS and Android, along with integrations across React Native, Flutter, MAUI, and CMP. We work deep in OS internals, maintain rigorous automation and release pipelines, and collaborate closely with customers to ensure their success with the product. A single defect in our SDK can affect thousands of host applications, so quality isn't a value we aspire to — it's the baseline we ship against. Pendo's mobile SDK enables businesses to collect detailed analytics and visual session replays on user behavior within their mobile applications — without extensive coding. That data helps customers understand how users interact with their apps and enables delivery of targeted in-app messages and guides that improve experience and drive adoption. As a Software Engineer on this team, you'll work on a product that is technically demanding, customer-visible, and genuinely consequential. You'll use AI coding tools as a core part of your workflow — and apply the same engineering rigor and review discipline to AI-generated code as you would to anything written by hand. This role is based in Herzliya, Israel and follows Pendo's in-office model: in-office 3 days per week. What this looks like day-to-day • Design, implement, and maintain new SDK features, ensuring seamless integration with the broader Pendo mobile product across iOS and Android. • Dive deep into OS internals to optimize performance, troubleshoot issues, and ensure the SDK functions correctly across all supported devices and OS versions. • Contribute to SDK development across mobile frameworks — Flutter, React Native, MAUI, and CMP — ensuring compatibility and performance in each environment. • Use AI coding tools (Cursor, Claude Code) as a core part of your daily workflow; apply strong engineering judgment and review rigor to AI-generated code before it ships, holding it to the same bar as hand-written code. • Write clean, efficient, maintainable code with a strong focus on quality — developing unit tests, implementing automated testing, and participating in code reviews. • Provide technical support to international customers: troubleshoot issues, guide them through solutions, and lead live conversations with adequate English proficiency. • Partner closely with product managers, designers, customer-facing teams, and other engineers to align on goals and deliver the best possible mobile experience. Who you are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work. You're a builder, not a maintainer. You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Mobile SDK engineers don't just implement to spec — they understand the host application context their code runs inside, anticipate failure modes, and hold the quality bar high because they know the downstream consequences when they don't. You're AI-curious — genuinely. You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it — and you bring the judgment to know when to rely on AI output and when to verify, correct, or reject it. In SDK work, that distinction matters: AI-generated code that looks right and ships wrong can break thousands of production apps. We want someone who sees AI as a multiplier and applies the same rigor to its output as to their own. Must-haves • 3–4+ years of experience in iOS or Android app development and/or mobile SDK development, including 2+ years of hands-on experience with Objective-C or Kotlin. • Deep understanding of either the iOS or Android platform — performance optimization, memory management, and behavior across OS versions and device types. • A genuine passion for mobile development and the flexibility to work across different frameworks and environments as the product evolves. • Strong English verbal communication skills and a customer-centric mindset — you can lead a live troubleshooting conversation with an international customer clearly and confidently. • Strong collaboration skills: you work well with experienced engineers and cross-functional teams and communicate clearly across disciplines. • A bachelor's degree in Computer Science or a related field, or equivalent practical experience. Nice-to-haves • Prior experience developing and maintaining mobile SDKs specifically — not just mobile apps. • Hands-on development experience with Flutter, React Native, Xamarin Forms, or MAUI. • Experience setting up and maintaining CI/CD pipelines for mobile applications or SDKs. • Knowledge of mobile security best practices and data protection standards. • Practical, day-to-day use of AI coding assistants (Claude Code, Cursor, or similar) in a professional development workflow. About Pendo Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. Pendo core values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus. Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote. Benefits: Premium, day-one benefits across health, pension, meals, and lifestyle — plus strong in-office perks and financial upside. Compensation: Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

CONTRACTOR: Forward Deployed Engineer, Pendo Predict The team + the role Pendo Predict helps companies act on customer behavior before problems surface. We build custom predictive models — churn, upsell, expansion, and more — on top of product usage, CRM, and data warehouse data, and put those insights directly into the workflows of CS, Sales, and Product teams. By analyzing historical product usage alongside CRM and data warehouse outcomes, Predict forecasts which accounts are at risk, ready to expand, or likely to convert — surfacing intelligence where teams can actually act on it. As a Forward Deployed Engineer on the Predict team, you'll embed directly with customers and prospects to design, build, and ship predictive models inside their real-world data environments — and feed what you learn back into the product. This is a hands-on, hybrid role at the intersection of engineering, technical consulting, and customer-facing work. You'll own the technical side of the customer journey end-to-end: from pre-sales discovery and proof of value, through data modeling and integration, to enablement and adoption. SQL is a daily tool in this role. This is a contractor engagement based in Herzliya, Israel, working on United States EST hours. This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office. What this looks like day-to-day • Run technical discovery with customers to assess product analytics maturity, data availability, and business processes — and use that to set realistic implementation expectations and position Predict for their stage. • Work hands-on with customers to design the data model and define the business metric the model will predict; map customer data sources (Pendo, Salesforce, Snowflake, and other warehouses) to Predict requirements and best practices. • Build and present compelling predictions in the prospect's own domain — explain methodology, model accuracy, and activation to earn credibility with technical stakeholders including data and data science teams. • Guide customer IT and data teams through integration steps, optimize model parameters for each customer's specific context, and diagnose and resolve blockers quickly — data quality issues, configuration gaps, and expectation misalignments included. • Help customer teams translate predictions into actions and playbooks; document how different teams (CS, Sales, Product) should respond to predictions for consistent, repeatable outcomes. • Identify and enable champion users to evangelize Predict internally — and channel field learnings back to Product and Engineering to shape the roadmap. Who you are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work. You're a builder, not a maintainer. You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Forward Deployed Engineers don't just implement — they create momentum on problems that aren't fully defined, earn trust with technical and business stakeholders alike, and make sure what they learn in the field makes the product better. You're AI-curious — genuinely. You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything: how you explore unfamiliar data schemas, how you build proof-of-value models, how you document customer environments for handoff. We want someone who sees AI as a multiplier, not a shortcut. Must-haves • 2+ years of experience in a pre-sales engineering, technical account management, or similar customer-facing technical role in B2B SaaS. • Strong, hands-on SQL — comfortable exploring unfamiliar schemas, building data models, and validating data quality in live customer environments. • Ability to run technical discovery and communicate complex concepts credibly to both business stakeholders and data or engineering teams. • Comfort with ambiguity and ownership — you can create momentum on problems that aren't fully defined without waiting for someone to scope it for you. • Excellent written and verbal communication skills in English. • Based in Israel and able to work hybrid from Pendo's Herzliya office; availability to work US EST hours is required. Nice-to-haves • Background in data, analytics, or BI — analytics engineering, data analysis, BI development, or data science. • Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse) and CRM data structures (Salesforce objects, Opportunities, renewal workflows). • Familiarity with product analytics tools such as Pendo, Mixpanel, or Amplitude. • Exposure to ML concepts including model training, evaluation, and explainability (e.g., SHAP values). About Pendo Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. Pendo core values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus. Location: This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office on US EST hours. EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Sr. Product Manager, Mobile SDK — 9-Month Fixed-Term The team + the role Pendo's mobile SDK is embedded in hundreds of enterprise applications — native iOS and Android, plus React Native, Flutter, .NET MAUI, and Ionic/Capacitor — delivering analytics, in-app guides, and session replay to over 110M monthly active users. It is a developer-integrated product at an inflection point: hybrid framework parity, cross-surface guide delivery, and version fragmentation across an installed base that cannot be forced to upgrade are all live, unsolved problems with revenue implications. We're looking for a Sr. Product Manager to own Pendo Mobile end-to-end for nine months while our current PM is on maternity leave. This is a full mobile role with no secondary product area. You'll own the SDK roadmap, run live enterprise escalations, and make the architectural and commercial tradeoffs that protect at-risk revenue. This role requires SDK product experience specifically — not mobile app PM experience. The distinction matters: you're shipping software that other companies' engineering teams integrate into their own production applications, on their release cycles, with their performance budgets, and with their users affected when something goes wrong. We need someone useful in week two, not month two. This is a full-time Pendo employee position with full benefits for the nine-month fixed-term. This role is based in Herzliya, Israel, in-office 2–3 days per week. What this looks like day-to-day • Own the mobile SDK roadmap end-to-end: release planning, versioning and deprecation strategy, and driving version adoption across a fragmented installed base — a shipped fix isn't a delivered fix until customers upgrade. • Bring Mobile into Pendo's AI surface: from AI tagging to agentic installation, AI guide building extensions, and exposing mobile behavioral data through Pendo's MCP so customers' own agents can use it. • Run the escalation motion: own the weekly customer status update, triage sev-level issues with Engineering and Support, and lead customer communication when the SDK is implicated in a production incident. • Deliver named enterprise commitments on schedule — offline guide serving, hybrid app guide delivery, and session replay payload reduction all have dates attached. • Protect at-risk ARR: $3M+ of mobile revenue is exposed to SDK capability gaps across hybrid architectures; partner with CE, CSM, and Sales on renewal-critical accounts. • Own cross-platform unification and developer experience — close hybrid framework gaps, solve cross-surface guide delivery across the native/WebView boundary, and reduce the integration cost for customers' engineering teams. Who you are Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work. You're a builder, not a maintainer. You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great PMs don't manage backlogs — they make architectural and commercial calls that show up in renewal conversations within weeks. You'll join a product mid-flight, take ownership fast, and be the named PM on every active customer issue before the end of your first month. You're AI-curious — genuinely. You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything: how you synthesize escalations, how you reason about where AI genuinely improves a workflow versus where it's decoration, how you move from insight to decision in a matrix organization operating heavily on async Slack. This is how the team operates. Must-haves • 5+ years of B2B SaaS product management in a multicultural and global organization. • 3+ years owning an SDK or developer-integrated product as the PM — with command of versioning and release strategy, backwards compatibility and deprecation, adoption across a fragmented installed base, and crash impact on software you do not control. This is a hard requirement. • Mobile platform fluency: native iOS and Android, and the practical differences between hybrid frameworks from an integration standpoint. • Demonstrated AI product judgment — you've shipped an AI-powered capability or can reason clearly about where AI improves a workflow versus where it adds noise; you use AI tooling actively in your own work. • Escalation temperament: you've owned sev-level escalations where your SDK caused a production issue in a customer's app and stayed credible through it. • Enterprise customer-facing skill in English, with large regulated accounts and their engineering teams; comfort operating in a matrix organization with US stakeholders and heavy async communication. • Available to start as soon as possible and committed to the full nine-month term. Nice-to-haves • Experience with product analytics, session replay, crash reporting, or digital adoption platforms. • Hands-on background in mobile engineering before moving into product. • Experience joining a product mid-flight and taking ownership quickly — an interim, transition, or turnaround assignment. • Experience running a design partner or early-access programme with enterprise engineering teams. • Previous experience with Pendo or comparable mobile SDK tooling. About Pendo Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. Pendo core values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus. Location: This role is based in Herzliya, Israel, in-office 2–3 days per week. This is a nine-month fixed-term, full-time Pendo employee position with full benefits. Benefits: Premium, day-one benefits across health, pension, meals, and lifestyle — plus strong in-office perks and financial upside. EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

About the Team This team builds an AI-native predictive analytics platform that embeds ML and AI-driven insights directly into production Go-To-Market workflows — powering real-time decisions at scale. The team owns the full stack from distributed data pipelines and backend services to ML and AI-powered capabilities that ship directly to customers. We are building toward a model where AI components are first-class runtime dependencies, not bolt-on features. Agentic AI development is a core part of how we increase engineering velocity and deliver customer value. This is a team that ships daily, iterates constantly, and treats speed as a capability to be deliberately improved. The Role This is a high-ownership, builder-first Sr. Software Engineer role. You will design, build, and ship AI-integrated data systems from concept through production — owning outcomes end-to-end, including deployment, monitoring, cost, and business impact. We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI. What You Will Build • AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role — not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space. • Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requests as a risk to momentum. Use feature flags, canary releases, and rollback architecture to manage risk through isolation — not through avoidance. • AI-Augmented Engineering Workflow. Leverage AI-assisted development tooling (code generation, automated testing, architecture prototyping) as a core workflow multiplier. Evaluate and experiment with emerging AI tools and frameworks with direct hands-on engagement. Bring technical depth to AI fluency — architecture and capability tradeoffs, not surface-level awareness. • End-to-End Ownership. Own your work from design through production deployment, operational monitoring, and business impact measurement. Accountability extends beyond the feature to CI/CD pipeline health, observability, cost efficiency, and domain-level outcomes. • Architectural Decision-Making. Make pragmatic, timely architectural choices that balance modern AI and data technologies with reliability, cost, and delivery speed. Distinguish reversible vs. irreversible decisions and move forward without waiting for consensus on the former. Document decisions in lightweight ADRs and own the outcomes. • Cross-Functional Collaboration. Partner with product, design, infrastructure, and GTM teams to translate customer and business needs into technical solutions. Operate with business awareness — understand how your systems impact revenue, customer outcomes, and strategic priorities. What You Bring Required • 5+ years building and shipping production-grade back end and data systems in distributed cloud environments (AWS and/or GCP). • Hands-on AI/ML integration in production workflows. You have shipped systems where AI, LLM, or agent-based components are part of the production runtime — not just prototypes or research. You can speak to the architectural tradeoffs of integrating AI into live backend systems. • Active use of AI-assisted development tooling as a workflow multiplier. You currently use AI tooling (Copilot, Cursor, or equivalent) to accelerate your engineering output and can articulate specifically how it increases your throughput. You stay current on relevant tooling without being directed to do so. • Strong back end expertise in Java (Spring Boot), Python, and/or Go. Hands-on experience with relational and non-relational databases, data modeling, and query optimization. • Demonstrated expertise in automated testing, CI/CD, and observability. • High-Velocity ownership - candidates should thrive in high-ownership, builder-first environments where shipping daily and owning outcomes are fundamental to the role. • Demonstrated ability to break work into small, incremental deliveries and maintain strong delivery flow. You have a track record of decomposing complex work into small, safely mergeable increments and shipping software solutions to solve customer pain continuously. You can describe your approach to scope deconstruction and provide concrete examples. Preferred • Experience shipping ML-Ops powered systems in production (model serving, monitoring, retraining pipelines). • Experience with distributed data technologies (e.g., Parquet, Athena, or similar query engines). • Experience making and documenting architectural decisions autonomously (ADRs or equivalent lightweight decision records). Pendo Description: Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers -- a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendo's future. Our culture is passionate, dynamic, and fun. EEOC We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives. Accessibility Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Compensation Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions, including offers made within and over the expected salary range, are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.

Senior Low Level Engineer - Infrastructure About the Role Build the agent that Neo's whole product depends on: a privileged, cross-platform systems program written in Rust. Everything Neo shows a security team starts on the endpoint. The sensor is the organization's presence on each machine - responsible for collection, posture and visibility, and local enforcement of the organization's security policies. Doing that well means running deep in the operating system on Windows, macOS and Linux: always on, trusted with elevated access, and never in the way. This role owns the hard parts of it. What you'll work on • The low-level, OS-level infrastructure the sensor is built on: the layer that handles low-level and OS-level operations directly and turns raw platform capabilities into reliable building blocks for everything above it - installation and deployment, endpoint security frameworks, network visibility, driver-adjacent work and more. • Infrastructure that is the backbone of the product — code where stability, correctness, and quality aren't aspirations but the actual job, because every feature Neo ships stands on it. • The sensor's core capabilities on top of that foundation: collection, posture and visibility, and local enforcement of the organization's security policies. • Reliability engineering for software that can't fail quietly: crash handling, recovery, and keeping the agent healthy and hard to tamper with on machines no one is watching. • The full lifecycle of a production system agent: how it ships, installs, updates, and runs unattended across a customer fleet. Tech you'll work with The work is low-level systems development in Rust, close to the operating system across Windows, macOS, and Linux - memory, processes, files, networking and the OS internals that expose them. Alongside that, you'll lean hard on agentic coding tools; deep fluency with at least one is central to how we work, not a bonus. Expect to range across the stack - OS internals, AI tooling internals, CI, and a fair amount of reverse engineering - and to learn the parts you don't know yet. What we're looking for • 5+ years of systems programming in Rust, C, or C++, working close to the OS. • Hands-on experience with the internals of at least one of Windows, macOS or Linux (services or daemons, process and file APIs, security frameworks and low level development). • Experience shipping and operating production-grade software for a large customer base - you understand what enterprise-grade means in practice: reliability across thousands of diverse environments, upgrades that can't break anyone, and problems you only ever see through telemetry • Strong ownership and independence - you drive your work end to end, stay independent without going dark, and keep the customer's experience in view even when you're ten layers deep in the OS. • A team player with strong communication skills - you explain deep technical work clearly, surface problems and discuss them, resolve technical disagreements with arguments rather than ego, and make the people around you better. Nice to have • A security background - endpoint protection, EDR/MDM, or any product whose job is defending machines rather than just running on them. • Networking - protocols, secure transport, and how software behaves on real-world networks; hands-on experience with traffic inspection, interception, or network visibility tooling is a real plus. • Deeper AI knowledge - beyond daily tool use: how models and agents work under the hood, or experience building agentic workflows and evaluating their output. • Applied cryptography - you've worked with encryption, signing, or trust chains in real systems, not just used a library blindly. • Backend / Full stack knowledge and understanding.

Job Requisition ID # 26WD101390 At Autodesk AEC, we help teams meet the world’s rapidly expanding building and infrastructure needs while making design and construction more predictable, safe, and sustainable. The Construction Platform team in Tel Aviv is looking for a Product Manager to join our Mobile Experience team and help deliver outcomes for our customers, owning key construction portfolio services within our mobile application. These are foundational capabilities used across multiple products and workflows, serving high-scale, high-impact use cases for customers around the globe. This is an opportunity to take ownership of critical platform areas in a large, complex ecosystem—working closely with teams across the company to deliver meaningful outcomes for our users. As a Product Manager, you’ll work at the intersection of engineering, design, and business, helping define and deliver mobile platform capabilities that enable better workflows across Autodesk Forma. You’ll navigate ambiguity, identify opportunities for impact, and help bring clarity and direction to areas that matter most. This role requires strong collaboration, a data-driven mindset, and the ability to focus on what truly moves the needle. Responsibilities • Own end-to-end mobile platform domains in a complex, workflow-heavy B2B ecosystem • Use a lean product mindset to drive product decisions and roadmap development  • Partner with engineering, design, as well as other product teams to define build and deliver impactful solutions • Translate complex problems into clear product direction, requirements and priorities • Use data, user insights and experimentation to inform decisions and measure success • Balance long-term strategy with short-term execution, forcusing on high-impact opportunities • Drive alignment across multiple teams and stakeholders in a large-scale organization • Help improve product quality and usability by continuously refining workflows and experiences • Stay close to customers and internal teams to understand pain points and identify opportunities Minimum Qualifications • 3+ years of experience in Product Management or related roles • Strong ability to work cross-functionally with engineering and design teams • Analytical mindset with experience using data to support decisions • Experience working with or leveraging AI-powered tools or features, with an understanding of their strengths and limitations • Experience working in B2B SaaS environments • Ability to bring structure and clarity to ambiguous problems • Excellence communication skills in English • Advantage: Familiarity with the construction industry or related domains • Advantage: Experience with product management for mobile applications Why Join Us? • Work on high-scale, foundational platform capabilities used across multiple products • Collaborate with talented teams across a global organization • Opportunity to grow as a product manager while owning meaningful, visible domains • Help shape the future of construction technology About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. Our culture is at the core of everything we do. It guides how we work, collaborate, and support our customers and each other. #LI-NC1 Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a representative may contact you directly if a relevant position opens. At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.

About the Role Build the sensor that Neo's whole product depends on: a privileged, cross-platform systems program written in Rust. Everything Neo shows a security team starts on the endpoint. The sensor is the organization's presence on each machine - responsible for collection, posture and visibility, and local enforcement of the organization's security policies. Doing that well means running deep in the operating system on Windows, macOS and Linux: always on, trusted with elevated access, and never in the way. In this role, you will own major development projects and take the lead on architecting solutions across our core feature set, we expect you to drive projects with a focus on high-performance execution and efficiency, maintaining rigorous standards for code quality, design integrity, and comprehensive testing. What You'll Do • Drive end-to-end feature ownership: Lead features in critical components of our sensor for macOS, Windows, and Linux from initial architectural design through deployment, actively presenting progress and technical outcomes. • Tackle large-scale stability and performance optimization: Utilize agentic coding tools to navigate unfamiliar OS APIs, validating system behavior against documentation, test suites, and actual hardware. • Collaborate to deliver high-impact security solutions: Partner across teams to build internal tooling, test infrastructure, and CI/CD pipelines that enhance codebase maintainability and developer velocity. Tech You'll Work With • Systems Programming: Low-level development in Rust, targeting Windows, macOS, and Linux (memory, processes, files, and OS internals). • AI-Assisted Development: You will lean heavily on agentic coding tools as a core part of the development lifecycle, not as a bonus. • Full-Stack Systems: You will range across OS internals, AI tooling, CI/CD pipelines, and reverse engineering. What You'll Bring • 5+ years of systems programming in Rust, C, or C++, working close to the OS. • System Fundamentals & OS Internals: In-depth knowledge of OS internals (memory, processes, filesystems). • Strong Debugging & Troubleshooting Skills: Proven execution in deploying functional software with the discipline to verify low-level system behavior. • Agentic Fluency: Hands-on mastery of agentic coding workflows (context management, prompt steering, and code verification) integrated directly into systems programming. • Team Leadership & Collaboration: Communicate effectively, mentor peers, and drive team outcomes in a collaborative, cross-functional environment. Bonus: • Deep OS Internals: Advanced understanding of core system architecture and sub-system mechanics. • Performance Engineering: Demonstrated ability to architect highly scalable, lightweight, and performant systems. • Security-Oriented Development: Experience or familiarity with Windows security concepts, macOS endpoint security framework. • Familiarity of AI harnesses architecture

neo is looking for Senior Full-Stack Engineer - Browser Extension. About the Role We're looking for a Senior Full-Stack Engineer to join our engineering team. You'll work on our Chrome extension, a core part of our security platform that runs on managed endpoints across the enterprise and operates in the browser in real time. You'll own Neo's policy enforcement engine in the browser, the layer that turns security policies into real-time decisions on every page users visit. Additionally, you'll also build features across our backend services and web app. What You'll Do • Architect, build, and maintain our Chrome extension • Own features from design through production monitoring. • Debug hard problems across the browser, the OS, and the backend. • Help shape the product's technical direction and raise the bar on code quality, testing, and release practices. • Build in-browser security capabilities: DOM inspection and manipulation, user-facing warning and blocking flows, and event capture. • Keep the extension fast and invisible. Minimize page-load impact, memory footprint, and CPU usage on every site. • Drive support for other Chromium browsers (Edge, Brave) and, over time, Firefox and Safari WebExtensions. • Manage Chrome extension publishing, versioning, and staged rollouts. • Build and extend the APIs and services that power the extension, including configuration delivery, real-time updates. • Build features in our React/TypeScript web app that let customers configure the product, review events, and manage deployments. Tech You'll Work With • Extension: TypeScript, Chrome Extensions APIs (Manifest V3, service workers, content scripts, native messaging) • Frontend: React, Next.js • Backend: [Node.js/TypeScript, Go, or similar], Postgres, EventBridge, SQS, S3, AWS Lambda, Pulumi • Infrastructure: AWS What You'll Bring • 5+ years of professional software development experience in a relevant role • Expert TypeScript/JavaScript and deep knowledge of browser fundamentals: DOM, event loop, cookies, storage, origins, CSP, and the extension security model. • Production experience with Manifest V3, including service workers, content scripts, and extension messaging. • Strong React experience. • Backend experience building and operating APIs and services. • Strong debugging skills with Chrome DevTools, extension internals, and network tooling. • A security mindset. You think about how a malicious page or a curious user could break what you build. Bonus: • Experience building security products: DLP, SSE/SWG, enterprise browser. • Familiarity with Chromium internals or browser source code. • Cross-browser extension development (Firefox, Safari).

Quantitative Researcher Millennium is one of the leading global hedge funds, managing over $85B, with more than 6,500 employees and offices worldwide. Founded in 1989, we employ a global multi-strategy investment approach, opportunistically engaging in a broad array of trading and investing strategies, producing consistent performance for our investors for over 30 years. We are strongly committed to leveraging innovations in technology and data science to solve complex and challenging problems, putting us at the cutting edge in our field. We are looking to expand our Quant Modelling team which is building the next generation of in-house analytics and trader support tools. This team will develop and maintain the models and pricing libraries to support trading in Fixed Income, Commodities, Credit and FX derivatives, leveraging state-of-the-art mathematical modelling and financial and software engineering methods to provide our traders with the best analytics and support tools in the business. Candidate will need to have strong mathematical foundations (probability, statistics, linear algebra and calculus) to understand, implement and develop financial pricing models and analytics. A deep and passionate interest in Finance is essential for success in this role. This is a singular opportunity to join one of the top hedge funds in the world and enter the fast-growing and dynamic world of global Finance, learning from the best in the field how it is done at the highest levels. No prior experience in finance is required. We generously reward hard work and outstanding performance, offering a unique opportunity for personal growth and building one’s career path in the lucrative and exciting world of global finance. We offer a dynamic environment and a culture that nurtures learning and growth, with excellent international opportunities. Responsibilities: • Develop fixed-income and cross-asset pricing and risk analytics for our in-house pricing library. • Develop pre-trade analysis tools for Portfolio Managers. • Help maintain and enhance our C++ financial analytics library and derivative pricing and risk framework. Mandatory Requirements: • M.A. degree with a strong quantitative training such as Math, Physics, Computer Science or Electrical Engineering with high grades (candidates with an exceptional B.A. degree will be considered if they have at least 3 full years of relevant work experience) • 3 years programming experience and good knowledge of complexity and data structures. C++ knowledge is preferred but Java or Python are also acceptable. • Strong analytical and mathematical skills • Very strong English written and verbal skills. It is essential the candidate can clearly and fluently communicate in English • Solid communication skills. • Able to work independently in a fast-paced environment. • Detail oriented, organized, demonstrating thoroughness and strong ownership of work Additional valuable skills (nice to have): • Experience with financial mathematics and derivative pricing. • Experience in the financial industry • A PhD degree

Cloud Engineer Job Description About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors. Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact. Meet the Team Core to the health and growth of our business, Millennium’s Information Technology organization supports a dynamic, multi-manager platform with flexible, scalable technology and advanced proprietary systems. The Google Cloud Engineering team builds and supports core cloud infrastructure in Google Cloud Platform, enabling modern engineering, automation, and cloud-native services across the firm. Our Israel office is located in the Bursa area of Ramat Gan. This role will be on-site. As a global firm, proficiency in English is required. What You'll Do • Design and implement end-to-end cloud solutions in Google Cloud Platform that are scalable, reliable, and aligned with business and technology objectives • Build, automate, and support core cloud infrastructure and dependent environments, with a hands-on focus on production-ready code and infrastructure operations • Partner with infrastructure teams and collaborate with developers, data scientists, machine learning engineers, quantitative analysts, and portfolio managers as a technical SME and solutions architect • Lead infrastructure initiatives from design through deployment and ongoing support, ensuring seamless integration, consistency, and strong performance across environments • Integrate AI tools and agentic systems into the cloud environment, including improving response quality and supporting production AI workflows • Deploy and support AI/ML models and related MLOps capabilities in cloud environments based on team and organizational needs • Implement and maintain CI/CD pipelines, infrastructure as code, monitoring, logging, metrics, and alerting to improve operational efficiency and service uptime • Strengthen platform security through audits, engineering best practices, and resilient controls, while contributing user-focused insights to improve internal and customer-facing solutions What You Bring • B.Sc. in Computer Science • 4+ years of hands-on DevOps and/or MLOps experience designing, deploying, and supporting production cloud environments • Strong cloud engineering expertise, including scalable multi-service architectures, complex networking, and production infrastructure design • Proficiency in Python and solid programming experience in Go or Java • Deep experience with CI/CD pipelines, observability, and automation, including tools such as GitLab CI or Jenkins • Strong command of Infrastructure as Code and configuration management tools such as Terraform, Ansible, and Helm, along with Linux administration and network troubleshooting • Understanding of cloud security principles and experience working with cloud networking components such as routing, DNS, VPCs, proxies, and load balancers • Strong communication, troubleshooting, and collaboration skills; experience working with customers and cross-functional teams; proficiency in English is required

Machine Learning Engineer About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors. Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact. Our Israel office is located in the Bursa area of Ramat Gan. This role is on-site. As a global firm, proficiency in English is required. Meet the Team The Information Technology department is core to the health and growth of Millennium’s business. Supporting the firm’s active, multi-manager model, the team develops flexible, scalable technology and advanced proprietary systems, including next-generation analytical, trading, and AI capabilities. Based on-site in Millennium’s Israel office in the Bursa area of Ramat Gan, the team builds and evolves enterprise technology platforms that enable innovation across the firm. What You'll Do • Lead the development of AI and machine learning capabilities within the infrastructure group across multiple applications. • Transform rapid prototypes into production-grade AI and machine learning systems that deliver measurable business value. • Identify repeatable patterns and technical friction points across Millennium’s AI stack, translating them into reusable capabilities such as LLM routing and dedicated-hardware inference optimization. • Design and implement scalable AI infrastructure that supports federated agent development and distributed deployment across the organization. • Orchestrate AI agents across distributed systems and service buses, ensuring generated code aligns with enterprise architecture standards and best practices. • Build high-performance evaluation pipelines and observability frameworks to assess agentic systems against rigorous accuracy, safety, and latency requirements. • Advance the adoption of AI-augmented development practices by providing technical leadership and integrating AI-powered tools into engineering workflows and CI/CD pipelines. • Partner directly with teams across the firm to teach AI infrastructure best practices and guide successful adoption. What You Bring • Bachelor’s degree with 6+ years of experience, Master’s degree with 4+ years of experience, or PhD with 2+ years of experience in Computer Science, Data Science, Machine Learning, or a related field. • Experience building or operating AI/ML infrastructure, agent orchestration platforms, or comparable AI-powered development tools. • Proficiency in Python and PyTorch or a similar deep learning framework. • Strong understanding of enterprise software architecture patterns and distributed systems design. • Production experience with Docker, Kubernetes, and container orchestration. • Strong communication and teaching skills, with the ability to partner effectively with teams across the organization as a deployed engineer. • Experience with cloud platforms such as AWS, Azure, or GCP; infrastructure-as-code tools; and MLOps practices, including model training, versioning, deployment, monitoring, drift detection, and performance optimization. • Experience building agentic AI systems using frameworks such as LangGraph, LangChain, or PydanticAI, including LLM integration, tool calling, structured outputs, MCP implementations, vector databases, embedding pipelines, and retrieval-augmented generation architectures.

AI Data Engineer About Millennium Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors. Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact. Our Israel office is located in the Bursa area of Ramat Gan. This role is on-site. As a global firm, proficiency in English is required. Meet the Team Core to the health and growth of our business, Millennium’s Information Technology organization develops the flexible, scalable technology and advanced proprietary systems that support the firm’s multi-manager platform. The Core AI Development Team focuses on the engineering environment, data pipelines, and AI systems that help the firm apply Large Language Models in daily workflows, including enterprise retrieval and document intelligence capabilities. What You'll Do • Design, build, and maintain scalable ETL and data ingestion pipelines that move documents from diverse source systems, including file shares, object stores, APIs, and databases, into the firm’s AI platform. • Develop robust document understanding workflows, including parsing, layout analysis, OCR, text extraction, metadata extraction, and normalization across heterogeneous formats such as PDF, Office documents, HTML, and images. • Implement chunking, cleaning, and enrichment strategies that improve retrieval quality and support downstream RAG systems. • Build change-detection, deduplication, and incremental update mechanisms to keep large document corpora synchronized efficiently and reliably. • Engineer pipelines for correctness, throughput, and resilience, with strong handling for malformed inputs, large files, and high-volume processing. • Establish data quality checks, observability, and metrics so ingestion issues are identified early and resolved quickly. • Partner with stakeholders to understand source systems and content requirements and translate them into reliable, production-ready ingestion solutions. • Stay current with advances in AI, LLMs, document AI, and retrieval techniques, and apply relevant improvements to the team’s solutions. What You Bring • 4+ years of experience and strong proficiency in Python, including building data pipelines, services, and APIs. • Hands-on experience designing and developing ETL and data pipeline solutions, including processing large data volumes. • Experience with document processing and text extraction, including PDF and Office document parsing, OCR, and unstructured content handling. • Solid understanding of data modeling, transformation, and data quality best practices. • Experience designing, building, testing, and debugging high-performance, reliable systems. • Clear communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. • Familiarity with RAG systems and the impact of ingestion on retrieval quality, including chunking strategies, embeddings, and vector stores, is a plus.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: • A minimum of 7 years of writing production-quality code in Python on Linux platform • Candidate must be willing to learn C++. Experience in C++ is a strong plus • Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus. • Strong understanding and experience with Linux system programming fundamentals • Ability to develop large-scale, distributed systems • Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. • Self-motivated and able to work independently with minimal direction • Proficiency in English An outstanding candidate will also have experience with one or more of: • Developing systems for managing and performing computation on large-scale graph data • Streaming / dataflow systems • Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: • We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) • Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures • Lead, manage and grow quantitative investment portfolio • Contribute to broader firm research and strategic initiatives What You’ll Bring: • 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe or equivalent research experience • Strong programming skills in mainstream quant programming languages, such as Python and C++ • Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics. The Specialized Portfolio Manager Opportunity: • Transparent and formula-based compensation • Opportunities to contribute to other research and strategy initiatives • Access to *WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms • Access to a deep and broad menu of datasets supported by a dedicated data team • Cross-asset execution led by a multi-regional trading team • Participation in internal research conferences and forums • Autonomy to build your own strategies along with several opportunities for collaboration and mentorship • Access to AI and Machine Learning opportunities applied to financial markets *WorldQuant, a division of Millennium Capital Management EMEA Israel Ltd #LI-JB1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: We are looking for an exceptionally strong software engineer to join our Technology organization at WorldQuant. You will be part of a business-facing team responsible for building and evolving the core systems that power our Quant strategies. This is an AI-forward team: large language models (LLMs) and AI agents are part of our daily workflow — from writing and reviewing code, to automating operational toil, to building internal copilots and agentic tools that the whole team relies on. You won't just use AI to move faster; you'll help shape how it's applied across our engineering practice. • Design and build data pipelines and the data layer. • Develop and maintain the computational frameworks and infrastructure that run our quantitative strategies at scale. • Implement and enhance quant-related software systems for data, research, portfolio construction, and trading. • Work closely with Researchers, and Quants as a hands-on engineering partner, helping them turn ideas into robust production solutions. • Gain exposure to the full lifecycle of the systematic/quant business, from data ingestion through research, implementation. • Build and integrate AI-powered tooling - LLM agents, copilots, and automation - into engineering and research workflows. • Use AI coding assistants and agentic developer tools to ship higher-quality software faster. What You’ll Bring: • Degree in a technical or quantitative discipline from a top tier institution. • 3 to 8 years of working experience in software engineering. • Demonstrated ability to program in Python (preferred) or C++ on Linux/Unix platforms, familiarity with scripting languages. • Experience with effective code version control, as well as Continuous Integration and Deployment. • Exceptional communication skills in both verbal and written form. • Excellent problem-solving abilities and judgment with strong attention to detail. • Mature and thoughtful, with the ability to operate in a collaborative, team-oriented culture. • Motivated by the transformational effects of technology-at-scale. • Experience with AI technologies, such as LLMs and agentic AI, along with their use cases would be beneficial. • Experience in finance is a plus but not required. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: • A minimum of 5 years of writing production-quality code in C++ on Linux platform • Good understanding of Python language with development experience • Strong understanding and experience with Linux system programming fundamentals • Ability to develop large-scale, distributed systems • Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. • Self-motivated and able to work independently with minimal direction • Proficiency in English An outstanding candidate will also have experience with one or more of: • Developing systems for managing and performing computation on large-scale graph data • Streaming / dataflow systems • Candidates need not have prior experience in financial services. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring • Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. • 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. • Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. • Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). • Expertise in version control systems (Git), CI/CD practices, and agile methodologies. • Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. • Experience in the finance industry is a plus but not required. • Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. #LI-DN1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Description Workiz is the AI growth engine for home service businesses, an operating system that runs the day and drives the growth. AI answers every call and books the job. Dispatch fills the board and puts the right tech in front of the customer. Estimates, invoices, and payments handle themselves. And because marketing is built into the same system, the job history a business already owns brings back old customers, fills slow weeks, and recovers estimates that went cold. Operations and demand generation in one platform. Trusted by over 120,000 pros across North America in HVAC, plumbing, garage door, and other trades. We're proud to be ranked #5 on Dun's 100 list of 2025 of Israel's best companies to work for. Who are you? You are a data-driven product manager with 5+ years of experience, inspired by the opportunity to build products that create real impact. You embrace AI as a core part of how you work - actively experimenting with the latest developments, whether that's prototyping ideas, building apps, or finding new ways to supercharge your own productivity with the tools emerging every week. You're naturally curious and thrive in fast-moving environments. You see every challenge as an opportunity to sharpen your craft, and you're energized by working alongside a strong product team. You dig into data to back your decisions and bring a fresh, innovative perspective to everything you build. You believe great products are built on empathy — you find deep satisfaction in making a meaningful difference in the everyday lives of people running their own businesses. You bring structure and clarity to everything you do, writing requirements that leave no room for ambiguity and delivering with a reliability your team can count on. So, what will you be doing all day? • Get to know our customers deeply - digging into their needs, pain points, and motivations to truly understand what makes them tick. • Play a leading role in shaping product features and internal AI workflows that are transforming how our product team works alongside R&D and Design. • Harness qualitative and quantitative data to continuously optimize product experiences, driving meaningful improvements in customer engagement and retention. • Craft a product roadmap that strikes the right balance between customer needs and business goals - and actually moves the needle. • Be a key player in a high-energy, cross-functional team, taking real ownership in bringing the roadmap to life. Requirements Ideally, we're looking for • 5+ years of experience delivering world-class customer-facing products in a product management role, ideally for small businesses or consumers. • Hands-on experience developing AI-powered product solutions. • Demonstrated success managing an end-to-end product lifecycle, from roadmap to release. • Customer-focused, with a track record of delivering experiences users love and creating impact. • Highly proficient with analytics tools and confident using qualitative and quantitative data to drive decisions and communicate insights clearly. • An effective collaborator who can align and influence cross-functional stakeholders. • Experience working with US customers. • Excellent verbal and written English communication skills. • Curious, self-driven, and a lifelong learner - with sharp attention to detail, a critical mind, and a good sense of humor. Why Join Workiz? Hiring process with us At Workiz, we aim to complete our hiring processes at lightning speed, keeping the time between when we receive your CV until you (hopefully) sign with us super short, communicative and transparent. Why You’ll Love Being a Workizer • We’re located in the heart of Tel Aviv, just a short walk from Rothschild Boulevard • Our workweek is flexible and hybrid • You’ll actually love the product you work with and the people too:) • Excellent benefits • Team players. Rockstars without the ego. Fast learners that work hard and get S*** done. • There is no such thing as a bad idea • Diversity isn't just a buzzword - our team is 45% women and 55% men! • ​​You can grow your career in any direction you choose • We know how to have fun! Join our surf club, ping pong tournaments and other spontaneous activities. Oh, and we throw some killer parties • We build our people up. Every team member is treated as a long-term investment and we recognize the value in always nurturing and training them so they can go above and beyond in their skills and job duties