Jobs in Ramat Gan

Description About Reflectiz Reflectiz is a fast-growing cybersecurity company specializing in proactive website security. Our unique remote monitoring technology helps organizations reduce security, privacy, and compliance risks-protecting critical digital assets that traditional solutions can’t fully cover. Since our founding in 2019, we’ve built a global customer base that includes Fortune 500 enterprises and leading brands across North America, EMEA, and APAC. With strong year-over-year growth and a financially solid foundation, Reflectiz offers both stability and exciting opportunities for personal and professional development. Our teams in Israel and the United States foster an inclusive, collaborative culture that combines innovation with professionalism-allowing us to consistently deliver exceptional value to our customers. Our ideal candidate is an experienced sales professional and has demonstrated success in the cyber security market. As the owner of our business in the territory, you will be responsible for building the new business sales strategy, executing business plan, building partner relationships from scratch and prospecting into new accounts. This is a tremendous opportunity to manage a large geography of small and midsize accounts and be the foundational player at an early-stage growth company! Requirements Responsibilities: • Ownership for sales targets in the defined territory. • Execution of all aspects of sales motion including sales planning, daily performance metrics and sales forecasting. • Full cycle sales from initial discovery calls, POC’s, onboarding with support and healthy renewals with the help of customer success. • Oversee the lead development process for the region, ensure new leads are reached out to in a timely manner and followed up through the lead qualification process. Requirements: • Cyber security experience is a must. • Minimum 2-3 years’ experience in selling in EMEA, with a SaaS product and track record of meeting and exceeding quota. • Proficiency and proven success in building a comprehensive go-to-market strategy and sales plan. • A track record of building mindshare and creating a new market within an industry. • Successful experience of full sales cycle from account planning, lead generation to qualification and closing/procurement. • Strong team player with experience working with business development, customer success, pre-sales engineering and marketing. • Experience with Cloud-based SaaS Security products- Advantage

Description Reflectiz is a fast-growing cybersecurity company specializing in proactive website security. Our unique remote monitoring technology helps organizations reduce security, privacy, and compliance risks-protecting critical digital assets that traditional solutions can’t fully cover. Since our founding in 2019, we’ve built a global customer base that includes Fortune 500 enterprises and leading brands across North America, EMEA, and APAC. With strong year-over-year growth and a financially solid foundation, Reflectiz offers both stability and exciting opportunities for personal and professional development. Our teams in Israel and the United States foster an inclusive, collaborative culture that combines innovation with professionalism-allowing us to consistently deliver exceptional value to our customers. We’re looking for a driven and proactive Sales Development Representative (SDR) to join our growing sales team. This is a hands-on outbound sales role focused on identifying new business opportunities, engaging potential customers, and generating qualified pipeline for the sales team. You’ll work with prospects across international markets and play an important role in creating new opportunities for Reflectiz. Responsibilities • Identify and research target companies and relevant decision-makers • Conduct outbound prospecting through cold calls, emails, LinkedIn, and other channels • Engage prospects, understand their needs, and qualify potential business opportunities • Schedule qualified meetings for the sales team and support pipeline generation • Work toward clear SDR targets and KPIs • Maintain accurate prospect and activity information in the CRM • Collaborate with Sales and Marketing to improve messaging, targeting, and outbound activities • Learn the Reflectiz platform and clearly communicate its business value to potential customers Requirements • 1+ year of experience in an SDR/BDR or outbound sales role • Hands-on experience with prospecting and cold outreach • Experience working toward sales targets and measurable KPIs • Strong communication skills and confidence engaging with new prospects • Independent, proactive, and comfortable taking ownership of your pipeline • Fluent English, both written and spoken Advantage • Experience in B2B SaaS sales • Experience selling to international markets • Cybersecurity experience • Familiarity with CRM and sales prospecting tools such as LinkedIn Sales Navigator

Description Reflectiz is a fast-growing cybersecurity company specializing in proactive website security. Our unique remote monitoring technology helps organizations reduce security, privacy, and compliance risks-protecting critical digital assets that traditional solutions can’t fully cover. Since our founding in 2019, we’ve built a global customer base that includes Fortune 500 enterprises and leading brands across North America, EMEA, and APAC. With strong year-over-year growth and a financially solid foundation, Reflectiz offers both stability and exciting opportunities for personal and professional development. Our teams in Israel and the United States foster an inclusive, collaborative culture that combines innovation with professionalism-allowing us to consistently deliver exceptional value to our customers. We’re looking for a sharp, passionate, hands-on Security Researcher with a strong understanding of web technologies, a hacker mindset, and a genuine drive to explore, challenge, and advance security technology. In this role, you’ll research real-world web environments, investigate vulnerabilities and attack techniques, analyze suspicious behaviors, and explore how modern websites and browser-based security mechanisms can be bypassed. You’ll work closely with our Security and R&D teams, turning research findings into security insights and detection capabilities within the Reflectiz platform.. Responsibilities • Research web security vulnerabilities, attack techniques, and emerging threats • Pen testing - Investigate real-world websites and web applications to identify security weaknesses and suspicious behavior • Analyze client-side attacks, malicious scripts, third-party components, and web supply-chain risks • Research vulnerabilities and attack vectors such as XSS, CSRF, injection techniques, and browser-based attacks • Analyze JavaScript execution, DOM behavior, network requests, and browser activity from a security perspective • Investigate security mechanisms such as WAFs, bot protection, authentication mechanisms, fingerprinting, and rate limiting • Explore bypass techniques and identify weaknesses in existing security controls • Develop scripts and research tools to support security investigations and automate analysis • Analyze new vulnerabilities and attack techniques and evaluate their potential impact on web environments • Translate security research findings into detection methods and security capabilities for the Reflectiz platform • Collaborate with Security Researchers and R&D teams on complex security investigations Requirements • 3+ years of hands-on experience in Pen testing, Security Research, Web Security, Application Security, Offensive Security, or a similar security-focused role • Strong understanding of web vulnerabilities, attack techniques, and common web security risks • Strong knowledge of modern web technologies, including JavaScript, HTTP/HTTPS, DOM, browser behavior, APIs, and web application architecture • Strong investigative mindset and the ability to think like an attacker • Ability to independently research complex security problems and turn findings into practical insights • Hands-on experience with AI-assisted and agentic coding workflows, using AI tools effectively Advantage • Experience with browser security or Chromium • Experience in penetration testing, vulnerability research, bug bounty, AppSec, or offensive security • Familiarity with OWASP methodologies and common web security testing tools • Degree in Computer Science or a related technical field

Description Elementor is looking for a Senior DevOps Engineer to help shape the infrastructure behind our global, multi-product platform. You'll take ownership of critical cloud and edge systems, guide architectural decisions, and work closely with R&D to make delivery safer, faster, and more reliable. You'll build and evolve our multi-cloud infrastructure, Kubernetes platforms, edge security, self-service developer platform, and observability capabilities. You'll also help shape how R&D builds software with AI, and build the AI agents that run more and more of our operations. What we do Elementor is where web creation happens. Our multi-product platform powers more than 13% of the internet, giving millions of developers, designers, and marketers the tools to build and grow their businesses. From Israel to more than 160 countries, a new website goes live with Elementor every 10 seconds. How we work We're AI-first, data-driven, and human-led. We build products that deliver real value through creativity, fast feedback, and open collaboration. At Elementor, you'll work with people who care about the product, our users, and one another—and have room to make a meaningful impact. What you'll do • Own and evolve infrastructure that supports Elementor's products at global scale, improving its security, resilience, performance, and cost efficiency. • Lead the design and implementation of cloud architectures across GCP and AWS. • Build and maintain production-grade Kubernetes platforms, including GKE and EKS, and improve their reliability and operational efficiency. • Run our edge and security layer on Cloudflare, including managed WAF, DDoS protection, and traffic rules, protecting a platform that powers more than 13% of the web. • Build self-service infrastructure for developers: fully automated deployments, on-demand ephemeral environments, and infrastructure as code, so teams ship without waiting on us. • Shape our AI-driven development process, and build and run AI agents that handle our infrastructure, cost, reliability, and incident response through our in-house Agentic Portal • Strengthen observability and incident readiness through effective monitoring, alerting, and operational practices. • Identify systemic risks and bottlenecks, lead improvements, and share expertise across the engineering organization. Requirements What you'll bring • 5+ years of experience in DevOps, SRE, or platform engineering, including ownership of production systems. • 3+ years of hands-on Kubernetes experience in production. • Strong experience with at least one major cloud provider—GCP or AWS—and the ability to design and operate cloud infrastructure. • A track record of building and operating reliable, highly available services. • Hands-on experience designing and maintaining CI/CD pipelines with tools such as GitHub Actions, Jenkins. • Strong infrastructure-as-code experience, ideally with Terraform. • A systems mindset: you can weigh trade-offs, diagnose complex issues, and turn recurring operational problems into lasting improvements. • You think agent-first: when you see repeated work, your first question is which agent could handle it. • Clear communication skills and experience working across engineering teams. It's a plus if you have • Experience supporting 24/7 services, incident response, or on-call operations. • Experience developing Kubernetes operators or controllers. • Experience operating MySQL, MongoDB, or Redis in production.

ABOUT PLACER.AI: Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions. What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist. Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started. Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location. SUMMARY: As a Senior Big Data Engineer, working within Placer.ai's Mobility Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform. RESPONSIBILITIES: • Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform. • Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform. • Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency. • Cloud Infrastructure: Work extensively with cloud-based technologies (GCP and AWS), to design and manage scalable data infrastructure. • Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs. • Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security. • Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure. • Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team. REQUIREMENTS: • Strong hands-on Apache Spark experience — building and operating pipelines in production, not just familiarity • Proficiency in PySpark or Scala for Spark development • Proven track record delivering ETL pipelines and data integration at scale • Solid SQL skills and command of data modeling concepts • Cloud platform experience (AWS, GCP, or Azure) in a production data context • Comfortable working with distributed systems and big data formats (Parquet, Delta Lake) Nice to have: • Experience with pipeline orchestration tools, particularly Apache Airflow • Exposure to the geospatial or location analytics domain • Familiarity with Hadoop ecosystem components • Background in both Python and Scala (beyond Spark context) WHY JOIN PLACER.AI? • Join a rocketship! We are pioneers of a new market that we are creating • Take a central and critical role at Placer.ai • Work with, and learn from, top-notch talent • Competitive salary • Excellent benefits NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER • Placer.ai's $100M round C funding (unicorn valuation!) • See our data in action at The Anchor • Placer.ai in the news • Video: About Placer for Commercial Real Estate • Video Playlist: Placer Brand & Explainer Videos Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees. Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known. May 2026

ABOUT PLACER.AI: Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions. What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist. Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started. Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location. SUMMARY: We’re looking for a Senior Backend Engineer to join Placer.ai’s mobility engineering group and build the systems behind one of the world’s largest location-analytics platforms. In this role, you’ll work on backend services that process and serve millions of clients, power ML-driven insights, and operate at high scale and high reliability. If you’re motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you. RESPONSIBILITIES: • Own services end-to-end — from architecture and design to production, monitoring, and continuous improvement • Drive performance, scalability, and reliability, using data and metrics to guide decisions • Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases • Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features • Raise the engineering bar through code reviews, design discussions, and technical mentorship REQUIREMENTS: • 5+ years of backend engineering experience in high scale systems • 2+ years working on NodeJS backend systems with TypeScript or JavaScript • Excellent proficiency in Cloud Computing environments (AWS or GCP) and infrastructure-as-code (Terraform) • Familiarity with mobile app development (iOS/Android) in one or more of the following: Kotlin, Swift, Objective C, Java • Solid engineering fundamentals: system design, data structures, APIs, testing, and observability • Hands-on experience with data-intensive systems and complex data pipelines • BSc in Computer Science or equivalent practical experience • Optional: Data engineering experience with Apache Spark is a big plus NICE TO HAVES: Demonstrated use of AI tools to work more efficiently—whether professionally or personally—and a curiosity for finding new ways to apply them.Comfort integrating generative AI into day-to-day workflows to boost productivity, quality, and output. WHY JOIN PLACER.AI? • Join a rocketship! We are pioneers of a new market that we are creating • Take a central and critical role at Placer.ai • Work with, and learn from, top-notch talent • Competitive salary • Excellent benefits NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER • Placer.ai's $100M round C funding (unicorn valuation!) • See our data in action at The Anchor • Placer.ai in the news • Video: About Placer for Commercial Real Estate • Video Playlist: Placer Brand & Explainer Videos Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees. Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

SUMMARY: We’re looking for a Senior Cloud Security Engineer to own the security of a large-scale data platform that processes billions of events for thousands of customers, where privacy is a core product commitment. You’ll own cloud security end to end, building the guardrails, automation and controls that make the secure path the default for every engineer. You’ll work closely with the infrastructure team who own the platform, and see your decisions go straight to production. RESPONSIBILITIES: • Own the security posture of our GCP and Kubernetes environments: IAM, network segmentation, workload hardening, and data access to BigQuery, Bigtable and other data stores, detecting and fixing cloud misconfigurations continuously and automating remediation wherever possible • Build secure-by-default foundations: hardened base images, secure Kubernetes configurations, and policy-as-code guardrails for Kubernetes and Terraform • Partner with engineering to embed security into CI/CD, with automated fixes and alerts instead of manual checklists • Own secrets and key management end to end, including rollout, rotation and access policy • Drive vulnerability management from discovery to fix, prioritizing by real exposure • Review new services and designs with practical, lightweight threat modeling • Lead security incidents from containment to post-mortem • Serve as the go-to security expert across R&D, mentoring engineers and helping teams adopt AI services safely REQUIREMENTS: • 6+ years in security, infrastructure, DevOps, or SRE, including 3+ years owning cloud security in production • Deep hands-on experience securing a major public cloud. We run on GCP; strong AWS or Azure engineers ramp quickly here. • Production Kubernetes security: RBAC, network policies, admission control, workload hardening • Terraform (or similar) plus Python or Go. You’ve built security automation, not just configured off-the-shelf tools. • Sound judgment on risk: you know when to block, when to guide, and when to accept AI FLUENCY & ENGINEERING EXCELLENCE: • Uses AI to scale security work in practice, e.g. LLM-assisted triage, generating and testing policy-as-code, or automating design reviews • Familiar with the security risks of LLM APIs and AI services in production, or eager to build that expertise NICE TO HAVE: • Application security or DevSecOps experience • Experience securing data platforms and enforcing data access governance • A background in DevOps, SRE or Platform engineering before moving into security WHY JOIN PLACER.AI? • Join a rocketship! We are pioneers of a new market that we are creating • Take a central and critical role at Placer.ai • Work with, and learn from, top-notch talent • Competitive salary • Excellent benefits • Hybrid NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER • Placer.ai's $100M round C funding (unicorn valuation!) • See our data in action at The Anchor • Placer.ai in the news • Video: About Placer for Commercial Real Estate • Video Playlist: Placer Brand & Explainer Videos Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees. Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai's applicants are considered solely based on their qualifications, without regard to an applicant's disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai's Human Resources Department to make the need for an accommodation known.

ABOUT PLACER.AI: Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions. What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist. Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started. Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location. SUMMARY: We are looking for a Senior Backend Engineer to join our Data Export Team. In this role, you will lead the architecture and development of backend microservices that drive our entire distributed export ETL infrastructure. You will build the intelligent service layer responsible for orchestrating, executing, and scaling high-throughput batch and real-time data transformations. RESPONSIBILITIES: • Service Ownership: Own backend microservices end-to-end—from architecture and API design to production deployment, observability, and continuous execution tuning. • ETL Engine & Performance: Drive performance, throughput, and sub-second reliability across our distributed ETL infrastructure, using data, profiling, and operational metrics to guide architectural decisions. • Pipeline Infrastructure: Build, orchestrate, and scale high-throughput batch and real-time streaming data pipelines supporting analytics, export workflows, and UI platform integrations. • Cross-Functional Collaboration: Partner closely with Product, Data Science, Analytics, and cross domain RnD teams to turn complex data movement requirements into seamless backend integrations. • Technical Excellence: Raise the engineering bar across the team through design reviews, robust code reviews, asynchronous system architecture discussions, and technical mentorship. REQUIREMENTS: • Backend Expertise: 5+ years of backend engineering experience designing, operating, and scaling distributed microservices. • Data, ETLs & Databases: Hands-on experience architecting data-intensive systems, and high-throughput batch or real-time pipelines. Strong proficiency across diverse database technologies (relational, analytical warehouses like Postgres, Databricks, and Snowflake) with a track record of optimizing complex queries and data storage at scale. • Engineering Fundamentals: Strong foundation in core system design, data structures, clean API design, automated testing, and production observability (metrics, tracing, logging). • Cloud & Infrastructure: Excellent proficiency with cloud environments (AWS or GCP) and Infrastructure-as-Code (Terraform) for managing distributed execution environments. • AI Productivity: Demonstrated use of AI tools to work more efficiently, whether professionally or personally, and a curiosity for finding new ways to apply them. Comfort integrating generative AI into day-to-day workflows to boost productivity, quality, and output. • Education: BSc in Computer Science or equivalent practical experience. NICE TO HAVE: • Python Services & Scripting: Strong proficiency with Python as a core backend language—building clean, modular microservice APIs (using frameworks like FastAPI or Flask), writing asynchronous tasks, and wrapping data processing logic into testable Python packages. • Distributed Processing with PySpark: Hands-on experience writing PySpark batch and streaming jobs to transform multi-terabyte datasets. Ability to optimize Spark execution plans, handle data skew, manage memory allocation, and minimize expensive shuffle operations across cluster nodes. WHY JOIN PLACER.AI? Join a rocketship! We are pioneers of a new market that we are creating • Take a central and critical role at Placer.ai • Work with, and learn from, top-notch talent • Competitive salary Excellent benefitsFully remote NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER • Placer.ai's $100M round C funding (unicorn valuation!) • See our data in action at The Anchor • Placer.ai in the news • Video: About Placer for Commercial Real Estate • Video Playlist: Placer Brand & Explainer Videos Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees. Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

ABOUT PLACER.AI: Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions. What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist. Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started. Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location. SUMMARY: The Custom Feeds team turns Placer's data into production-grade bespoke data products for our largest customers — tailored to specific business questions and shipped on a recurring basis. We're looking for a Senior Analytics Engineer, who is both a pipeline builder and a data researcher. You'll own custom recurring feeds end to end — from methodology for new metrics, through pipeline design, to final acceptance before delivery. You'll lead conversations with internal stakeholders (US-based customer-facing teams and colleagues across R&D) and help generalize recurring logic into reusable models, metrics and packages the whole team builds on. Ideal for a rigorous, independent thinker looking for a delivery-oriented role where impact is tangible. Responsibilities • Own custom feeds from requirements through delivery and ongoing maintenance • Develop methodologies and acceptance criteria for new metrics • Build reproducible, tested production pipelines in PySpark on Databricks, orchestrated with Airflow and Terraform • Partner with Solution Engineers and customer-facing teams on timelines, methodology and customer feedback • Build reusable components and packages; collaborate with R&D and Data Science to reuse existing datasets, models and products — and make your work reusable by others • Requirements • 5+ years in data analytics / data research with large-scale datasets • 3+ years hands-on Python and PySpark at scale • Solid applied statistics — sampling and estimation, bias and coverage, significance, uncertainty — and the ability to explain limitations to non-technical audiences • Demonstrated ownership of data quality: metrics and validations for datasets others depend on • Proficiency with AI-assisted coding (Claude Code, Cursor, Copilot), with judgment about when to trust, verify or discard output • Excellent written and spoken English; comfortable presenting to customers • Ability to own deliverables independently across multiple teams under tight deadlines • B.Sc. in a quantitative field; M.Sc. / MBA or academic research experience — advantage • Technical Skills: PySpark (must, with performance awareness), Databricks or equivalent Spark platform, Airflow in production, Terraform / IaC, Git-based collaborative development WHY JOIN PLACER.AI? • Join a rocketship! We are pioneers of a new market that we are creating • Take a central and critical role at Placer.ai • Work with, and learn from, top-notch talent • Competitive salary • Excellent benefits NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER: • Placer.ai's $100M round C funding (unicorn valuation!) • See our data in action at The Anchor • Placer.ai in the news • Video: About Placer for Commercial Real Estate • Video Playlist: Placer Brand & Explainer Videos Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees. Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for #LI-AC1

Nanit is moving families beyond overwhelm by transforming how parents understand their baby's early years. We combine advanced AI, real-world data from billions of sleep hours, and clinical expertise to deliver the clarity and confidence every parent deserves. Trusted by over one million families and backed by $125M in funding, we're building an entirely new category: predictive parenting intelligence. Here, your work directly impacts millions of families. Our team of scientists, engineers, and parents is small but mighty - we share a mission to make early childhood easier, healthier, and more connected. If you want to work on technology that genuinely matters, join us. We're looking for a Recruiter to join our team. This is a maternity leave replacement for a 1-year contract with the possibility of extension. What will you do: • Partner with our talent team and hiring managers to gain a deep understanding of our hiring needs for Product and R&D roles across Israel and the US • Source top-tier candidates by utilizing a variety of channels and creative techniques, including social media, professional networks, and targeted outreach. • Screen resumes and conduct initial phone assessments to evaluate candidates' skills, qualifications, and alignment with our company culture. • Manage the interview process, including coordinating and scheduling interviews and ensuring a seamless and positive experience for every candidate. • Lead behavioral and HR interviews to assess candidate motivation, core competencies, and cultural alignment, complementing the technical assessments performed by hiring managers. • Utilize our applicant tracking system (ATS) to maintain accurate candidate records and track progress. • Build and nurture a strong talent pipeline for current and future hiring needs. • Stay up to date on industry trends, market conditions, and best practices in talent acquisition. Requirements: • At least 2 years of experience in recruiting for a tech or startup environment. • Highly proficient with sourcing tools like LinkedIn Recruiter, Boolean search strings, and other platforms to identify and engage top talent. • A proactive and self-driven professional with a passion for recruitment and connecting people with opportunities. • Strong interpersonal skills and a collaborative mindset, with a desire to build effective relationships with hiring managers and candidates. • A creative thinker with a sense of urgency, able to thrive in a fast-paced environment and manage multiple priorities and tasks simultaneously. • Deep familiarity with applicant tracking systems (ATS) - Greenhouse is a plus. • Proficiency in both Hebrew and English. Why Nanit: • We have an awesome product that makes life a little more manageable for new parents. • We work hard. We are constantly striving to discover new and innovative ways to improve our products and ourselves. • We invest in people. We consider each employee a long-term investment, and we see value in continuously nurturing and training them. • We believe in creating a fun, ego-less, family-friendly, flexible, and hybrid work environment. #IL-Hybrid

Nanit is moving families beyond overwhelm by transforming how parents understand their baby's early years. We combine advanced AI, real-world data from billions of sleep hours, and clinical expertise to deliver the clarity and confidence every parent deserves. Trusted by over one million families and backed by $125M in funding, we're building an entirely new category: predictive parenting intelligence. Here, your work directly impacts millions of families. Our team of scientists, engineers, and parents is small but mighty - we share a mission to make early childhood easier, healthier, and more connected. If you want to work on technology that genuinely matters, join us. As Backend Platform Team Leader at Nanit, you'll lead the Platform pod. The pod owns our shared backend infrastructure (Kubernetes, Redpanda (Kafka), RabbitMQ, CI/CD, observability, and more), and it builds the tools, architecture and agentic workflows that let engineers in every other pod ship faster and more safely, at our growing scale The role has two parts. As Pod Lead, you own the pod's direction, planning, delivery, and working process. As People Manager, you own the growth and performance of 3–4 direct reports, some of whom may work in other pods. What you'll be doing - • Infrastructure Ownership: Keep our shared infrastructure reliable, secure, and cost-efficient, and make every change to it safe and well planned. • Architectural Evolution: Lead multi-quarter programs that reshape our backend, and migrate services onto them safely. • Reliability: Make sure problems surface early, and drive incidents to their real root cause. • Direction and Delivery: Maintain one clear, prioritized plan that you know in depth, and run a predictable team. • Planning and Delivery: Own sprint and quarter planning. Maintain one clear, prioritized plan that you know in depth, and run a predictable team. • Pod Process: Follow the PDLC, uphold the company's working processes and policies, and continuously shape and improve how the pod works. • Technical Ownership: Know the pod's systems and how they fit together deeply enough to reason about them with confidence, guide design decisions, and challenge assumptions. • People Leadership: Set clear goals and expectations, give honest feedback, invest in each report's growth, and stand behind your people. Where your reports work in other pods, stay aligned with those pod leads. Who you are - • Professional Experience: At least 6 years of backend development, with significant architecture or platform work, plus proven experience as a people manager, leading a team's execution and delivery. • Technical Proficiency: Deep Kubernetes and AWS experience (EKS, EC2, RDS, S3), including cloud cost drivers. Hands-on experience with Redpanda (Kafka), RabbitMQ, CI/CD, infrastructure-as-code, and Grafana/Prometheus. • Problem Solving: You can reason through an unfamiliar problem out loud and outline sound solutions with their trade-offs. • Who You Are: • Agency: You don't wait to be told. You find what's broken or missing and move it forward. • Passion for the Craft: You love backend engineering and care how things work under the hood. • Purposeful Leadership: You know why you lead, and you see leadership as responsibility for other people's success. • Depth and Clarity: You go deep into the details and explain things simply. • Growth Mindset: You seek feedback and turn it into visible change. What We Offer - • Ownership of the foundation every Nanit backend team builds on. • Impact on a platform that improves the lives of millions of parents around the world. • Ownership of high-scale, modern systems that every Nanit backend team builds on, and the chance to shape their future. • A leadership team that invests in developing its managers. • A culture of continuous learning and balance. • A clear growth path for strong leaders. Join us as a Backend Platform Team Leader and help shape the foundation of Nanit's backend. Why Nanit? • Nanit products can actually change lives. We’re an integral part of the lives of new parents, making an exciting but stressful time a little more manageable. • We are international and believe our diversity makes our culture, products, and brand even better. • We invest in our people. We consider each employee a long-term investment and we see value in continuously helping them to advance in their lives and careers • Nanit is a fun, collaborative group of hard workers! We believe in an appropriate work-life balance and offer a flexible, open environment. • We are at the forefront of innovation, creating products and services that have never been seen before. We are proud to be an equal-opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. #Hybrid

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. Technology: Don’t See a Role That’s a Fit? Join Our Tech Talent Community. Thank you for your interest in joining WorldQuant. If you would like to join our Technology team but don’t see an open position that’s the right fit for your skill set on our Careers page, please submit your resume here to join our Tech Talent Community and we’ll be in touch if you may be a fit for a future opportunity. 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 Enterprise Sales Development Representative – Financial Services Shield is a global technology company with offices in Tel Aviv, New York, London and Lisbon. We’re growing and looking for another important piece of the puzzle. Is it you? Shield is looking for an ambitious, curious and commercially minded Sales Development Representative (SDR) to join our team. This isn’t a high-volume, transactional SDR role. You’ll focus on some of the world’s leading financial institutions, researching complex organizations, identifying the right buying groups and business triggers, and creating meaningful conversations with senior decision-makers. You’ll work closely with Account Executives and Marketing to build a qualified enterprise pipeline through highly targeted, account-based engagement. Availability: This is a full time position with Availability: Monday–Friday, with working hours aligned to US Eastern Time (ET) to support our US-based client base. Friday is a shortened working day, in accordance with standard Israeli practice. What You’ll Do • Drive new business development across North America, targeting strategic, high-value enterprise financial institutions and significant ACV opportunities. • Research and map complex organizations, identifying key stakeholders, buying groups, business priorities, pain points and relevant engagement triggers. • Build qualified pipeline through highly targeted, account-based prospecting, not high-volume transactional outreach. • Use intent data, account intelligence, market developments and buying signals to identify when, why and how to engage priority accounts. • Build relationships with senior stakeholders across Compliance, Surveillance, Technology, Legal and Operations. • Multi-thread across accounts and execute persistent, relevant outreach through phone, email, LinkedIn, events and other channels. • Develop a strong understanding of Shield, our market and our customers’ challenges to communicate a credible and compelling value proposition. • Secure high-quality discovery meetings and demos with opportunities that have genuine enterprise potential. • Partner closely with Account Executives and Marketing on account strategy, messaging, campaigns, events and follow-up. • Represent Shield professionally at industry events and use them to build and deepen relationships with target accounts. • Maintain excellent CRM discipline and capture account intelligence, activity, contacts and next steps. Requirements • 1–3 years of SDR/BDR experience in enterprise B2B SaaS, ideally selling into financial institutions or other complex, highly regulated organizations; or relevant client-facing experience within financial services, such as capital markets, investment banking, brokerage, asset management, wealth management or compliance. • Native-level English proficiency is a must, with exceptional written and verbal communication skills. • Availability: This is a full time position with Availability: Monday–Friday, with working hours aligned to US Eastern Time (ET) to support our US-based client base. Friday is a shortened working day, in accordance with standard Israeli practice. • Bachelor’s degree required, preferably in Economics, Business, Law, Finance or a related field. • Comfortable engaging large, complex enterprise accounts with multiple stakeholders, significant deal values and longer sales cycles. • A consultative and commercially curious mindset—able to understand a prospect’s business rather than simply deliver a sales pitch. • Strong research and analytical skills, with the ability to uncover account priorities, buying signals and meaningful reasons to engage. • Highly tech-savvy, with hands-on experience using modern sales and MarTech stacks, including CRM, sales engagement, prospecting, account intelligence and the latest intent-data technologies. • Comfortable using data and technology to prioritize accounts, personalize outreach and improve prospecting effectiveness. • Confidence communicating with senior stakeholders and the ability to turn complex topics into clear, compelling conversations. • Highly organized and disciplined, with the ability to manage multiple strategic accounts, campaigns and follow-ups simultaneously. • Strong ownership, urgency and accountability around goals and commitments. • Competitive and results-driven, with the ambition to win individually while contributing to the success of the wider team. • A genuine desire to learn, develop and build a career in enterprise technology sales. ** Before You Apply - Show Us How You Think ** We’re not just looking for another SDR. We’re looking for smart, strategic and ambitious people who know how to create a reason for someone to listen. So, before you submit your application: Tell us why we should meet you. Along with your CV, include a short introduction explaining what makes you different and why you believe you can make an impact at Shield. More information about Shield: Shield is the industry’s most comprehensive digital communications governance and archiving solution, purpose-built for financial institutions. Named a Visionary by Gartner, Shield’s platform blends AI innovation with deep regulatory expertise to simplify compliance, strengthen security, and unlock efficiency. Trusted by leading global financial institutions, Shield works closely with its partners to help compliance teams uncover hidden risks, prevent financial crimes, and protect both people and markets. . With operations across key financial hubs worldwide, we support customers wherever they operate, navigating complex regulatory environments with confidence. At our core, we’re focused on building trust: protecting market integrity and creating a world where communication is understood and accountable. Our work has been recognized by industry leaders and analysts, including Deloitte Fast 500, Dun & Bradstreet’s Top 20 Companies, Regulation Asia Awards, and RegTech Insight Awards Europe-reflecting our impact, growth, and commitment to excellence. If you’re ready to make a real impact at a fast-growing, mission-driven company working with the world’s leading banks to redefine communication governance and compliance - this is the place for you.

Description We are looking for a skilled and motivated Senior Python Backend Engineer to join our Surveillance Engineering team. The ideal candidate will have a deep understanding of software development and technical expertise. This is a hands-on role for someone who wants both depth and ownership: you'll design and build complex components, drive architecture and technology-selection decisions, and stay close to the product in production. The position requires strong collaboration and communication skills as you will be working alongside engineers, data scientists, and domain experts. About the Surveillance Group: The Surveillance group at Shield builds and operates advanced AI solutions. Our team is composed of engineers, data scientists and subject matter experts who work together to deliver a high-quality, production-ready Surveillance product. We push the boundaries of what is possible and measure ourselves by the impact we deliver to our clients. Let’s get down to business: What You'll Do: • Design, build and maintain the software infrastructure and solutions that make up our Surveillance pipeline, combining classic machine learning models and GenAI models with complex business logic and analytical components. • Own significant architecture decisions and evaluate and select the technologies we build on. • Solve complex engineering problems end to end, from investigation and design through implementation and rollout. • Collaborate with engineers, data scientists and subject matter experts to deliver high-quality, production-ready that are fully integrated and scalable. • Support the product in production: investigate issues, improve observability, and make the system easier to run. • Build and operate services in containerized environments (Docker, Kubernetes) on AWS. • Hold a high engineering bar: meaningful unit tests, solid CI/CD following best practices. • Keep current with developments in software engineering and production ML infrastructure. Requirements Experience and Skills: • 5+ years of professional Python development experience - MUST • Proven experience designing software architecture for production systems - MUST • Strong analytical and problem-solving skills, including the ability to reason about and improve existing systems. • Strong background in Linux and containerized environments (Docker, Kubernetes) - MUST • Hands-on experience with AWS. • Experience with distributed data and messaging technologies such as Elasticsearch/OpenSearch, Kafka, RabbitMQ, and Redis • Experience with unit testing and CI/CD practices. • Experience running and supporting production environments • Experience working closely with Data Science teams - Advantage • Excellent communication skills and a genuine team player. • Self-motivated, results-oriented and well organized. More information about Shield: Shield is the industry’s most comprehensive digital communications governance and archiving solution, purpose-built for financial institutions. Named a Visionary by Gartner, Shield’s platform blends AI innovation with deep regulatory expertise to simplify compliance, strengthen security, and unlock efficiency. Trusted by leading global financial institutions, Shield works closely with its partners to help compliance teams uncover hidden risks, prevent financial crimes, and protect both people and markets. . With operations across key financial hubs worldwide, we support customers wherever they operate, navigating complex regulatory environments with confidence. At our core, we’re focused on building trust: protecting market integrity and creating a world where communication is understood and accountable. Our work has been recognized by industry leaders and analysts, including Deloitte Fast 500, Dun & Bradstreet’s Top 20 Companies, Regulation Asia Awards, and RegTech Insight Awards Europe-reflecting our impact, growth, and commitment to excellence. If you’re ready to make a real impact at a fast-growing, mission-driven company working with the world’s leading banks to redefine communication governance and compliance - this is the place for you.

Description Shield is a global startup with offices in TLV, NYC, LDN, and LIS. We're looking for a Senior Backend Engineer who will join our team and make a big impact. About the role You'll join a small, high-ownership backend team building the systems that power Shield's core platform, working mainly on data pipelines with a focus on the quality and structure of the data itself. We believe great engineers come from all backgrounds, and we actively work to build a team where everyone belongs and thrives. What you'll do • Design and implement new flows and services • Maintain, improve, and extend existing backend services and APIs • Work with multiple data stores - relational, NoSQL, search (Elasticsearch, etc.) • Maintain and build event-driven pipelines using message brokers (Kafka, RabbitMQ, or similar) • Collaborate with product and architecture on scalable, resilient system design • Integrate and leverage AI tools in your daily workflow - and ideally, build them Requirements What we're looking for • 4 - 8 years of backend engineering experience • At least 1 year with Java; additional years in any backend language (Go, Python, C#, TypeScript, etc.) • Hands-on experience with data stores (e.g. MySQL/PostgreSQL, MongoDB, Elasticsearch, Redis) • Familiarity with event-driven architecture and at least one message broker • Cloud experience (AWS, GCP, or Azure) • You use AI tools daily - and if you've built AI agents, even better • Data engineering background is a plus, but not required Who you are • Collaborative, communicative, and ownership-driven • Curious and self-directed - you push to understand the why, not just the what • A self-learner who takes initiative, owns their work end-to-end, and brings a can-do attitude More information about Shield: Shield is the industry’s most comprehensive digital communications governance and archiving solution, purpose-built for financial institutions. Named a Visionary by Gartner, Shield’s platform blends AI innovation with deep regulatory expertise to simplify compliance, strengthen security, and unlock efficiency. Trusted by leading global financial institutions, Shield works closely with its partners to help compliance teams uncover hidden risks, prevent financial crimes, and protect both people and markets. . With operations across key financial hubs worldwide, we support customers wherever they operate, navigating complex regulatory environments with confidence. At our core, we’re focused on building trust: protecting market integrity and creating a world where communication is understood and accountable. Our work has been recognized by industry leaders and analysts, including Deloitte Fast 500, Dun & Bradstreet’s Top 20 Companies, Regulation Asia Awards, and RegTech Insight Awards Europe-reflecting our impact, growth, and commitment to excellence. If you’re ready to make a real impact at a fast-growing, mission-driven company working with the world’s leading banks to redefine communication governance and compliance - this is the place for you.