Jobs in Tel Aviv-Yafo

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: Zenity is looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform. What You’ll Do Responsibilities: • Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems. • Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies. • Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions. • Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence. • Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices. Requirements Requirements: • 7+ years in a senior technical leadership role (Principal Architect, Staff Engineer, Lead Engineer, or equivalent) with a strong track record of designing and delivering production systems. • Deep expertise in large-scale distributed systems, data processing pipelines, and cloud-native architectures. • Strong background in cybersecurity and secure system design; experience in SaaS or cybersecurity products is a significant advantage. • Hands-on experience building, deploying, and scaling AI-native applications and agentic workflows in enterprise production environments. • Proven track record implementing scalable agentic architectures, agentic orchestration frameworks, and evaluation pipelines for production AI systems. • Experience managing latency, cost, reliability, and security considerations when serving AI/Agentic workloads at scale. • Familiarity with agentic AI frameworks and modern AI-native engineering, including coding agents and AI-assisted software development. • Experience designing and building multi-tenant SaaS platforms with strong isolation and scalability characteristics. Familiarity with Bring Your Own Cloud or similar deployment models in enterprise environments. • Excellent communication and technical leadership skills, with the ability to influence architecture and collaborate effectively across multiple engineering teams.

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: We're looking for a Senior Software Engineer to join our engineering team and take real ownership of features that deliver value at enterprise scale. In this role, you'll build security solutions for GenAI and Copilots, design scalable Big Data pipelines using cutting-edge technologies, and be part of a team that thinks creatively about complex problems and delivers real technological innovation. This is a role for engineers who like to own things end-to-end from designing a solution to delivering value while working closely with the team through open discussions, design reviews, and code reviews. What You’ll Do Responsibilities: • Assume ownership of features and deliver value to customers • Design scalable Big Data pipelines using cutting-edge technologies • Deliver high-quality engineering applying common engineering principals • Work on building GenAI & Copilots security solutions • Think creatively about complex problems and deliver technological Innovation • Collaborate with others via open discussions, Design Reviews and Code Reviews Requirements Requirements: • Passionate team player with a minimum of 5 years of experience • Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript • Deep AI Coding capabilities, with an emphasis on staying up to date with the latest developments at all times • Experience writing code in Agile, CI/CD-based environments • Experience working in a high-growth startup environment • Advantage: Experience working with Big data technologies such as Kafka/Spark/OpenSearch • Advantage: Experience working with Big data formats such as Parquet/Avro/Delta Lake/Iceberg • Experience working on large-scale services based on AWS/Azure/GCP

Description About Us: Zenity is the leading AI agent security platform, helping enterprises secure AI agents everywhere: SaaS, homegrown, and on the endpoint. Our platform gives security teams visibility into every agent and its actions, enforces what agents are allowed to do, and detects and responds to threats across the full agent lifecycle. Backed by top-tier investors including Norwest, SoftBank Vision Fund 2, and Microsoft's M12, Zenity is a fast-growing company with a world-class team of researchers, engineers, and security practitioners. We're defining a new category, and the problems we solve are ones no one has solved before. About the Role: We're looking for a Senior Product Manager to own two strategic areas of our platform: Endpoint and Outpost. On the endpoint, you'll shape how Zenity secures AI agents and AI-powered tools running on user devices, as local and on-device AI adoption accelerates. With Outpost, you'll define how we serve regulated and security-sensitive customers who need to keep sensitive data processing inside their own environment, while still benefiting from the full Zenity platform. This is a highly technical, high-impact role at the intersection of cybersecurity and AI. You'll work directly with R&D, Research, Sales Engineering, and customers to turn deep technical problems into products that enterprises trust. What You’ll Do Responsibilities: • Own the product vision, strategy, and roadmap for Endpoint and Outpost, aligned with Zenity's broader platform strategy • Translate complex customer needs, security threats, and technical constraints into clear requirements and well-scoped deliverables • Partner closely with Engineering and Research to design, build, and ship features from concept to GA • Work with enterprise customers and prospects, especially in regulated industries, to understand their deployment, privacy, and data residency requirements • Stay on top of the evolving AI agent threat landscape and turn insights into product capabilities • Collaborate with Sales, Sales Engineering, and Customer Success to support go-to-market, customer deployments, and technical enablement • Define success metrics, track adoption, and use data and customer feedback to drive prioritization • Contribute to product positioning and messaging in partnership with Product Marketing • Evaluate the market and competitive landscape and identify new opportunities  Requirements Requirements: • 5+ years of experience as a Product Manager, including ownership of technical products end to end • Strong technical background; able to go deep with engineers and understand system architecture, deployment models, and trade-offs • Hands-on experience in cybersecurity (e.g., endpoint security, EDR/XDR, cloud security, identity, data security, or related domains) • Experience working with AI/ML products or technologies, with a solid understanding of how modern AI agents, LLMs, and agentic workflows operate • Experience building or managing products for enterprise customers • Proven ability to define strategy, prioritize in ambiguity, and drive execution across teams • Excellent communication skills in English and Hebrew, with the ability to present to both technical and executive audiences • Self-starter mentality, with ownership, curiosity, and comfort in a fast-paced startup environment Nice to Have: • Experience with endpoint agents/sensors or on-device software across macOS and Windows • Experience with hybrid, private cloud, or customer-hosted deployment models • Familiarity with data residency, encryption, and compliance requirements (e.g., BYOK/CMEK, FedRAMP, SOC 2) • Background in security research, SOC operations, or as a security practitioner • Experience at an early-stage or high-growth security startup About Zenity Why Zenity? • Work on the cutting edge of AI security, a category that's being defined right now • Join a company with strong momentum and top-tier backing • Collaborate with a talented, driven, and down-to-earth team • Real ownership and the opportunity to shape the product and the company • Competitive compensation package and benefits

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: We're looking for a Principal Product Manager to define and drive Zenity's product strategy across our strategic technology partners. This role sits at the intersection of product management, technology strategy, and customer discovery. You'll work closely with product and engineering leaders at leading technology companies to identify opportunities, shape joint product experiences, and deliver integrations that create meaningful value for our customers. You'll own the product vision for our ecosystem—discovering new capabilities, influencing roadmaps, and ensuring Zenity delivers a seamless experience across the platforms our customers use every day. What You’ll Do Responsibilities • Define and execute Zenity's product strategy for strategic technology partnerships, prioritizing ecosystem investments based on customer needs, business impact, and strategic value. • Build trusted relationships with Product Managers, Architects, and Engineering teams at leading technology partners, and influence their roadmaps by collaborating closely on APIs, platform capabilities, and joint initiatives. • Identify customer problems that can be solved through joint product experiences, and define compelling "Better Together" solutions that drive customer value and differentiate Zenity. • Own the end-to-end product lifecycle for strategic integrations - from discovery and prioritization to launch and adoption - collaborating with Engineering, Design, Product Marketing, Sales, and Customer Success along the way. • Define success metrics and continuously measure adoption, customer impact, and business outcomes. • Represent Zenity in product discussions with strategic technology partners and customers. Requirements Requirements • 5+ years of Product Management experience building B2B SaaS products, with a proven track record of taking products from concept to customer adoption. • Experience building APIs, integrations, or platform/ecosystem products, including strategic product partnerships or cross-company product initiatives. • Strong technical aptitude and the ability to work effectively with engineering teams on complex technical initiatives. • Exceptional product discovery skills and deep customer empathy. • Outstanding communication and stakeholder management skills, including the ability to collaborate and influence across organizations without direct authority, engaging both technical and executive audiences. • A strategic mindset combined with a hands-on approach to execution. • Experience in cybersecurity, enterprise software, AI, or cloud platforms.

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: We're looking for a Senior Applied AI Scientist to sit at the frontier of AI security - turning emerging threats into the detection models that protect how AI is used inside the world's largest organizations. You'll be part of the AI Security Research department, working hand-in-hand with security researchers to translate threat intelligence into trainable signals that catch malicious behavior and security risks across the AI-powered workflows of Fortune 500 companies. You'll bring deep technical versatility - reaching for classical ML, deep learning, or agentic based approaches based on what the problem demands, and the evaluation rigor to know when a model is truly ready for the real world. If you want to define what AI security engineering looks like, not just practice it, this role is for you. What You’ll Do Responsibilities: • Build, train, and ship detection models end-to-end, from raw data to production • Choose the right method for each problem - traditional ML, deep learning, fine-tuned LLMs, agents or heuristics - based on theoretical insights turned into practical results. • Partner with security researchers to turn security research outputs and domain expertise into detection capabilities • Own evaluation: design benchmarks, build labeled datasets, and define production standards • Monitor models in production across all paradigms - ML, deep learning, LLM-based, and agentic systems to track degradation and ensure reliability • Iterate fast, with a tight feedback loop between model performance and product outcomes Requirements Requirements: • 5 years of hands-on ML and deep learning experience, with a track record of shipping, debugging, and diagnosing models in production • Data-first mindset: you know how to define the right evaluation criteria for each model - before and after shipping, to ensure it delivers real quality and value in production • Hands-on experience building and deploying agentic AI systems to production • Proficiency in Python; experience with PyTorch, scikit-learn, HuggingFace, or equivalent • Practical, applied mindset - focused on the problem, success metrics and impact, not lab research. • • Background in security, trust & safety, or content moderation - an advantage

Description About Us: Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale. We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide. Join us in shaping how AI agents are secured at enterprise scale. About the Role: This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. You’ll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response. The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation. What You’ll Do Responsibilities: • Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics. • Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines. • Publish and share: produce Zenity Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty. • Build tools: Several open source libraries exist (like Anthropic’s attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments. Requirements Requirements: • Deep learning expertise with a track record of non‑trivial research (industry or academia) in LLMs or other domains (e.g., CV, speech). We care that you’ve changed models or methods in meaningful ways (architecture/training/eval), not just used them. • Strong experimental design and scientific writing; comfort pre‑registering hypotheses, testing causal claims, proposing novel directions in a fast-changing field. • PhD or equivalent research experience in the industry (5+ years in a leading research team). Publication record or a portfolio of high‑impact open artifacts will make you stand out from the crowd. • Familiarity with AI frameworks (e.g., HuggingFace Transformers, LangChain, scikit-learn, PyTorch); Experience with a production grade codebase with several contributors is a bonus. • Experience in data analysis: visualization, exploration, cleanup. • Knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systems - a bonus.

Description About Zenity Zenity is the first security and governance platform purpose-built for AI agents — spanning SaaS, home-grown platforms, and end-user devices. Trusted by Fortune 500 enterprises, we help security teams confidently adopt AI by delivering defense-in-depth with full-lifecycle coverage: from agent discovery and posture management to real-time detection, prevention, and response. We recently closed a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and others, and we're scaling fast to meet surging enterprise demand for AI agent security. About the Role We're looking for a Director of Platform Engineering to lead our Platform group — a team responsible for both software engineering and the more traditional Platform/DevOps/infrastructure domains. This is a unique opportunity to shape the future structure and direction of the group as we scale, working closely with our engineering leadership to define how we build, operate, and secure the infrastructure behind our product. What You’ll Do Responsibilities: • Lead and grow a team spanning software engineering, Platform, DevOps, and infrastructure • Own the architecture and operational excellence of our cloud infrastructure (multi-cloud, Kubernetes, CI/CD) • Drive initiatives across BYOC (Bring Your Own Cloud) and other software-focused product capabilities • Partner closely with Product, R&D, and executive leadership to align technical direction with business priorities • Build and scale engineering processes, culture, and best practices as the team grows • Recruit, mentor, and develop engineering managers and senior ICs Requirements Requirements: • 5+ years of experience in engineering leadership, with direct management of both software engineering and Platform/DevOps/Infrastructure functions • 9+ years of overall experience in the field • Proven experience scaling technical teams in a high-growth startup environment • Deep hands-on background in cloud architecture (AWS/GCP/Azure), Kubernetes, and CI/CD at scale • Strong familiarity with modern AI concepts and practical experience applying AI to engineering workflows (e.g., agent orchestration, AI-driven developer tooling) • Excellent communication skills and experience partnering with cross-functional leadership • Experience in cybersecurity or a related regulated/enterprise domain is a strong plus Nice to Have • Experience with identity, data, or cloud security platforms • Background in building developer platforms or internal tooling • Experience operating in regulated/enterprise environments (e.g., FedRAMP, SOC2)

Your Story: You'll be joining a core team at EX.CO to lead the charge with our customers and get to work closely with all stakeholders at the company. This position is based in our TLV office. Acting as the liaison between your publishers and EX.CO's Product, RevOps, and Tech teams to meet publisher KPIs, revenue goals, and evangelize EX.CO's video platform. Delivering best-in-class services to your publishers by bringing them strategic vision, training and planning sessions, and ensuring continuous growth through the different customer journey stages. You will be the face of EX.CO for your publishers and their biggest advocates to Product & Revenue teams. Keeping up with industry trends and updates to effectively educate and smoothly navigate your customers through the changes. Who we are: EX.CO is the video technology fueling growth for media leaders worldwide. Since we launched, our mission has been to shape the future of media technology, powering publishers' business success in a rapidly changing reality. Today, we partner with leading media companies—including USA Today, Hearst Newspapers, Motorsport Network, The Arena Group (Parade, The Street), and Ziff Davis (Mashable) —to maximize revenue across every screen: web, mobile apps, CTV, and DOOH. Our technology combines an online video platform with a machine learning-based yield engine, giving media owners the control, scale, and transparency they need to thrive. What drives us is simple: we're stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others. Now we're growing our team—and that's where you come in. We're building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table. What You'll Do: Lead strategic relationships with a portfolio of global Online Video and Connected TV (CTV) publisher accounts, building trusted executive relationships and guiding customers through every stage of the customer lifecycle to maximize retention, growth, and long-term success. Manage a global book of business across multiple regions and time zones, ensuring proactive communication, timely execution, and a consistent, high-quality customer experience. Partner cross-functionally with Business Development, Ad Operations, Product, Engineering, and other key stakeholders to deliver seamless customer onboarding, accelerate product adoption, and drive ongoing business growth. Identify expansion and upsell opportunities by leveraging customer performance data, market trends, and new product capabilities to increase account value and support revenue growth. Lead strategic business planning sessions, define customer success objectives, and deliver executive-level Quarterly Business Reviews (QBRs) that communicate business outcomes, performance insights, and growth opportunities. Act as the voice of the customer by advocating for publisher priorities internally, influencing product enhancements, and providing executive leadership with regular updates on customer health, risks, opportunities, and strategic initiatives. Demonstrate deep technical and industry expertise by leveraging self-service platforms, navigating complex advertising technology ecosystems, and applying programmatic advertising knowledge to resolve customer challenges and optimize business outcomes. What We're Looking For: 4+ years of customer-facing experience (Customer Success, Client Services, Account Manager, Program Manager). 3+ years of experience at an Ad-Tech company or publisher. Customer-centric approach to managing and growing customer relationships. Entrepreneurial spirit, eager to learn and diligent contributor. Stellar organizational, writing, listening, and presentation skills. Sense of ownership skills, time management, project management, and prioritization. Ability to be analytical, resourceful and tech-interested to see problems to resolution. It will be awesome if you have: Experience using tools such as Tableau and CRM tools (Zendesk, Salesforce, Monday). Familiarity with SSPs, OVPs, DSPs. Served as consultant to media or video companies. Sales background having led upsell opportunities. Previously worked as a Program or Project Manager directly with customers.

About EX.CO EX.CO is the video technology fueling growth for media leaders worldwide. Since we launched, our mission has been to shape the future of media technology, powering media owners' business success in a rapidly changing reality across web, mobile, CTV and DOOH. Today, we partner with leading companies, including USA Today, People Inc., Hearst Newspapers, Motorsport Network, and Ziff Davis (Mashable). Our machine learning engine uses billions of predictions to grow video ad revenue, giving media owners the control, scale, and transparency they need to thrive. What drives us is simple: we're stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others. Now we're growing our team—and that's where you come in. We're building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table. The Role We're looking for a VP Marketing to lead EX.CO's brand, creative and market presence. You'll own marketing strategy and execution across brand identity, content and video, social channels, PR and communications, events and growth. You'll work hand in hand with our Go To Market and Business teams, helping crystallize our messaging, refine our visual language, take our identity into new areas of the media world, and drive new business opportunities. You'll also partner closely with Product and the executive team, and stay hands-on. What You and Your Team Will Do Build and own the marketing strategy across our different offerings and audiences, create annual and quarterly plans according to budget Lead our fierce and excellent marketing team and external consultants Help refine our brand identity, messaging and visual guidelines across all touchpoints Drive growth campaigns and demand generation tied to pipeline - including media buying strategy, campaigns and creatives Own our external facing communications and channels, PR & media relations strategy Lead content and video production, including thought leadership Plan and run EX.CO's presence at key industry events Support our internal communications efforts What We're Looking For 10+ years in B2B tech marketing, 4+ in senior leadership. AdTech or media experience is a strong plus A track record of leading campaigns, growth and content at a senior level Strong in both brand and performance, with a clear link to revenue A good visual eye and experience managing creative and PR external resources A collaborative style and experience working alongside GTM, Sales and Product leaders Native-level English Strategic and hands-on

Who we are: EX.CO is the video technology fueling growth for media leaders worldwide. Since we launched, our mission has been to shape the future of media technology, powering publishers' business success in a rapidly changing reality. Today, we partner with leading media companies - including USA Today, Hearst Newspapers, Motorsport Network, The Arena Group, and Ziff Davis - to maximize revenue across every screen: web, mobile, CTV, and DOOH. Our technology combines an online video platform with a machine learning-based yield engine, giving media owners the control, scale, and transparency they need to thrive. What drives us is simple: we're stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others. Now we're growing our team—and that's where you come in. We're building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table. What You Will Do: We are looking for a sharp, hands-on team leader to head the Demand team within our Israel Operations department. As Head Of Demand, you will directly manage a focused team of demand specialists, drive day-to-day execution, and serve as the operational and strategic anchor for everything demand-related - while working closely with broader Operations leadership. This is a team lead role within a larger department - you will be both a player and a coach, equally comfortable diving into the data and developing the people around you. Core Responsibilities Team Leadership & People Development Oversee the team's management of key demand partner relationships, ensuring KPIs are met and growth opportunities are captured Collaborate closely with teams across Operations, Sales, Product, R&D, and Analytics Stay on top of industry trends and bring relevant insights back to the team and department leadership Directly manage and mentor the Demand team, setting clear priorities, workstreams, and performance expectations Run daily operations smoothly, balancing immediate deliverables with longer-term team development Provide ongoing coaching and feedback to support each team member's professional growth; foster a team culture built on ownership, curiosity, and results Operational Excellence & Process Building Design, implement, and continuously improve team processes and workflows - building the operational infrastructure that enables the team to perform consistently and efficiently in a high-volume, fast-paced environment Establish clear standards and routines for task management, prioritization, and escalation, so the team can move quickly without sacrificing quality or visibility Cross-Functional Leadership & Stakeholder Management Lead and influence without direct authority - drive alignment and execution across cross-functional teams and stakeholders outside your direct management, using strong interpersonal skills, credibility, and clear communication Navigate a matrixed organization - work effectively with multiple managers and department heads, managing competing priorities, aligning on shared goals, and ensuring the Demand team's work is connected to broader business objectives Serve as the demand domain representative in cross-departmental forums, translating team-level insights into organizational decisions Build and maintain trust-based relationships with key internal stakeholders - proactively aligning with leadership across departments to remove blockers, surface opportunities, and keep projects moving What We're Looking For 4+ years of experience in Demand, Growth, or Digital Marketing Operations, with 2-3 years of team lead or management experience Strong domain knowledge in AdTech, Video Advertising, or Mobile/Gaming Monetization Solid analytical skills - comfortable in the data and able to guide the team toward actionable conclusions A natural team lead: someone who takes ownership, communicates clearly, and brings out the best in the people around them Demonstrated ability to build operational processes and drive outcomes in fast-paced environments Proven ability to influence and align stakeholders without formal authority Strong written and verbal English communication skills Proactive and adaptable - you know how to keep a team focused, motivated, and moving forward

Description About Bizzabo Bizzabo is the Event Experience Operating System for modern enterprise organizations, and the intelligence behind every great event. Corporate event teams use Bizzabo to run complex event portfolios across in-person, virtual, webinar, and field events, unify their data, and prove the business impact of every event they run. We've powered more than 100,000 events for millions of attendees. We're a Leader in the Forrester Wave for B2B Event Management Technology and the only vendor in that evaluation named a Customer Favorite. Founded in 2011, we're headquartered in New York with offices in Montreal, Kyiv and Tel-Aviv. The category is changing fast. Event teams are being asked to run more programs with fewer people and prove revenue impact on every one of them, and AI is reshaping what an event platform should do. We're building for that future, and we need someone to tell that story. About the role You'll own how Bizzabo is understood: by buyers, by our sales team, by analysts, and by the AI agents our own teams now work with every day. This is a lead role with real scope. You'll own positioning, messaging, launches, competitive strategy, sales enablement, and analyst relations for the full Event Experience OS, including the agentic capabilities we're bringing to organizers, attendees, and sponsors. You'll sit at the intersection of Product, Sales, Account Management, and Marketing, and you'll report directly to our Co-founder and CMO. We're looking for a builder. You'll have strong partners across Brand, Demand Generation, and Enablement, but no layers between you and the work. If you want to shape a category, not maintain someone else's messaging deck, this is the role. You'll also get to work the way we work. Claude is part of everyone's day at Bizzabo. Our teams use Claude and Claude Cowork daily, with Skills built on our own messaging, product, and competitive knowledge, and you'll have the freedom to automate anything that slows you down. Requirements What you'll do • Own positioning and messaging for the Event Experience OS. Translate new agentic capabilities into clear, provable value for enterprise event leaders, and keep the story consistent from the website to the last call before signature. • Run launches end to end. Partner with Product on what we build and why, then own the go-to-market: narrative, pricing and packaging input, launch plan, field readiness, and customer communication. • Help us win competitive deals. Own competitive intelligence against legacy event management platforms and newer point solutions. Build battlecards, landmine questions, and objection handling that reps actually use, and run win/loss analysis to sharpen them. • Equip the field. Build the pitch narrative, demo storylines, one-pagers, and RFP content. Partner with Sales and Solutions leadership to train the team and make sure every new capability is sold, not just shipped. • Lead analyst relations day to day. Own our Forrester and Gartner relationships, evaluation submissions, and briefings, plus our presence on peer review sites like G2, TrustRadius, Capterra, and Gartner Peer Insights. • Turn customers into proof. Work with Account Management to build case studies, reference programs, and the metrics that make our claims specific. • Drive adoption. Partner with Account Management to get existing customers using what we ship, through release communications, programs, and content for executive business reviews. • Own the context layer. Our messaging, product, and competitive knowledge powers the Claude Skills our teams use to write, sell, and support. You'll keep that source of truth current and use AI to automate your own GTM workflows. What success looks like In your first 90 days: • You've listened to dozens of sales calls, interviewed customers and lost prospects, and can explain in plain words why we win and why we lose. • You've refreshed our core competitive materials and the field is using them in live deals. • You've taken ownership of our next analyst evaluation and our peer review strategy. • You've shipped your first launch end to end. In your first year: • Our competitive win rate is measurably higher, and you can show which of your work moved it. • Every major release goes to market with a clear story, trained reps, and customer adoption plans. • Our analyst and peer review position reflects where the product actually is. • The messaging that powers our people and our AI agents is sharp, current, and trusted across the company. What you need • 5+ years of product marketing in B2B SaaS selling to mid-market and enterprise buyers, including time as the lead or sole product marketer. • An AI-native way of working. You've used AI agents, ideally Claude, to automate real GTM workflows, and you can show us what you built. • A track record of positioning complex platforms for both business and technical buyers, and of winning against an entrenched incumbent. • Strong sales enablement instincts. You build narratives and assets that get used in the field, and you know how to check that they do. • Hands-on experience with analyst relations, ideally including a Forrester Wave or Gartner Magic Quadrant evaluation. • Excellent writing. You make complicated things simple without making them generic. • Comfort building without a big team around you: you set your own priorities, move fast, and ship. Nice to have • Hands-on experience with Claude Cowork, Claude Skills, or similar agentic tools in your day-to-day work. • Experience in event technology, martech, or another platform sold to marketing teams. • Experience marketing agentic or AI-first products to enterprise buyers. • Experience with a three-sided value story (in our case, organizers, attendees, and sponsors). • Fluency with Salesforce, HubSpot, and Gong, and comfort pulling your own data from them.

Description About Bizzabo Bizzabo's Event Experience Operating System is a modern, intuitive platform used by the world's leading organizations to deliver immersive experiences and events at scale. Named a Leader in the Gartner® Magic Quadrant™ and Forrester Wave™ for event technology, Bizzabo is recognized by Newsweek as a 2024 Global Most Loved Workplace. Bizzabo was founded in 2011 and is headquartered in New York and Tel Aviv. We are looking for a hands-on, data-driven professional to join our Finance team in Israel. The Role We're looking for a hands-on FP&A Manager with strong finance fundamentals, strategic thinking, and an AI-builder mindset to help drive our growth through budgeting, forecasting, modeling, and KPI development - someone who doesn't just report the numbers but recommends the “call to action” behind them. This is an individual contributor role with full ownership of the FP&A domain, requiring hands-on execution from A to Z. Reporting directly to the CFO, you will own our budgeting, forecasting, and modeling tools, increasingly powered by AI and automation, from AI-assisted forecasting to automated board reporting, and help shape business strategy through better decision-making, performance measurement, and long-term planning. This is a unique opportunity for a hands-on, accountable professional with strong finance/accounting fundamentals and a genuine appetite to grow with the business. Requirements What you'll be doing • Oversee and continuously improve our Budgeting, Financial Forecasting, Operating Plan, and Modeling tools and processes. • Design, build, and maintain AI-powered workflows (Claude) for recurring FP&A deliverables, including board reporting, analysis, KPI dashboards, commission calculations, and other recurring processes, turning manual work into reusable, auditable automations. • Own and evolve our SaaS metrics engine, iterating on frameworks for ARR, NRR, CAC, LTV, and churn to deliver precise unit economics and performance analysis. • Deliver financial forecasting alongside insightful performance reporting and analysis, engaging stakeholders across the company. • Prepare Board of Directors presentations and monthly/quarterly reporting packages for leadership and investors, partnering closely with Finance and Revenue & Business Operations • Take part in the monthly, quarterly, and yearly closing process - provisions, analysis, quarterly reports, audits, and presentations. • Own quarterly calculations of sales commissions, MBOs, partner commissions, and other third-party payments. • Build and maintain revenue forecast models and business plans, and continuously improve how we think about key revenue drivers, spending leverage, and other operational metrics. • Take full ownership of ad-hoc financial projects and ROI analyses from start to finish, in a fast-paced environment with shifting priorities. Who you are • 5-7 years of relevant FP&A experience from a software/SaaS company • Bachelor's degree in Economics, Industrial Engineering, Accounting, or Business Administration (MBA/CPA is an advantage) • Experience owning FP&A independently, ideally with end-to-end responsibility for the function. • Deep expertise in SaaS metrics (ARR, NRR, Churn, CAC, LTV) to evaluate and drive business performance • Strong analytical skills - data mining, slice & dice data, spotting trends, and drawing conclusions for managerial-level discussions • Advanced Excel and PowerPoint skills • Hands-on experience with CRM/ERP systems and databases is required, including Salesforce reporting. NetSuite experience is strongly preferred. • Proven builder with AI tools (Claude strongly preferred), comfortable designing prompts, structured workflows, and lightweight automation. Experience building or maintaining AI-assisted reporting/analysis pipelines is a strong plus. • Familiarity with BI tools such as Looker is preferred. • High level of English proficiency (written and spoken) • Self-starter with a high level of independence, ownership, and accountability. • Fast learner who can quickly adapt to new tools, processes, and business needs. • Excellent interpersonal and collaboration skills with a strong team-first mindset. • Strong organizational and time-management skills, with a proven ability to prioritize and deliver high-quality work under tight deadlines. • Curious, proactive mindset toward exploring and adopting new AI and automation tools, pushing their use beyond the basics to find more efficient ways of working.

Description About Scytale Scytale is a global leader, an AI-powered company transforming how organizations achieve and maintain trust and compliance. Our platform automates frameworks such as SOC 2, ISO 27001, SOX ITGC, GDPR, PCI DSS, and 45+ more frameworks, making compliance smarter, faster, and continuously audit-ready. Built for startups, scale-ups, and enterprises, Scytale combines intelligent automation, real-time monitoring, and AI-driven insights to reduce manual work and eliminate compliance blind spots. Recognized as a G2 Leader in GRC and an AWS Rising Star Partner of the Year, Scytale is trusted by hundreds of companies worldwide and known for its technology and partnership-driven approach. Role Overview We’re looking for a highly motivated and curious Product Manager to join our TLV team and help shape the future of our product. In this role, you’ll work closely with engineering, design, and cross-functional stakeholders to build and launch features that deliver real value to our customers. This is a hands-on, growth-oriented role where you’ll take ownership of defined product areas and gain exposure across the full product development lifecycle in a fast-growing B2B SaaS environment. Requirements What You Bring • 4-5 years of experience as a Product Manager in a B2B SaaS environment. • Proven ability to translate ambiguous problems into clear strategy and prioritized execution. • Strong written and verbal communication skills, with the ability to influence stakeholders and align cross-functional teams around a product vision. • A passion for technology, UX, and solving user problems through great software. • Experience working with AI-powered products or features - Advantage. • A curious, proactive mindset with the ability to learn fast and adapt in a dynamic startup environment. • Strong organizational skills and the ability to manage multiple projects and priorities simultaneously in a fast-paced environment. • Experience with web-based products in the cybersecurity, compliance, or risk management space - advantage. Responsibilities What You’ll Do • Own the Core product area end to end - strategy, roadmap and execution. • Translate customer needs and business goals into a clear features and prioritized roadmap. • Work closely with engineers and designers to define product requirements, write user stories and drive delivery of high-impact features. • Lead the product backlog, balancing strategic bets against near-term delivery and customer commitments. • Participate in agile ceremonies including sprint planning, grooming, retrospectives, and stand-ups. • Own the full release lifecycle, coordinating closely with design, engineering, CS, marketing, and sales. • Collaborate with internal stakeholders to uncover customer pain points and identify product opportunities. • Shape an intuitive, high-impact user experience in close partnership with design. • Develop domain knowledge in information security compliance frameworks (SOC 2, ISO 27001, GDPR, and more). • Track product KPIs, monitor success metrics, and support feature adoption and go-to-market efforts. Benefits Why Join Scytale? • Innovative Work: Be part of a cutting-edge platform redefining cybersecurity compliance. • Growth & Learning: Access courses, mentorship, and hands-on experience to grow your career. • Team Culture: Join a collaborative, driven, and supportive team. • Hybrid Flexibility: Enjoy the benefits of a hybrid working environment. • Global Impact: Contribute to a platform used by thousands of organizations worldwide. Ready to innovate and grow with us? Join Scytale and help transform cybersecurity compliance for companies worldwide!

Description About Us: Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered across a company's systems, then act on it across the case lifecycle: automating what we can, escalating to a human expert when it matters. Built on 100+ deep integrations, the platform runs products already live in production, including Self-Service, Knowledge, Triage, Assist, Intelligence, Alerting, and QA, all sharing one foundation so they ship fast and improve as the platform grows. That shared foundation makes this an exciting, unusual place to build. Each product we launch would have been an entire company in the pre-AI era; for us, it's a focused product on common infrastructure, so each deployment builds on the last. Our no-code Agent Builder lets teams design and deploy agents with governance and traceability, while our Customer Context Model routes recurring issues and account risk to the teams that can fix them. Every deployment lowers our customers' cost to serve. We're hiring engineers and product leaders who want to build systems that get more capable the more they run. What you’re applying for: We are looking for a passionate VP of Engineering to help build our breakthrough AI product. As a VP of Engineering at Mosaic- AI, you will steer the development of our cutting-edge AI Sidekick and MosAIc technologies. In this pivotal role, your primary responsibility is to lead, guide, and mentor a team of talented software developers. You will be actively involved in planning, designing, and executing multiple software development projects while utilizing your extensive knowledge of software development to provide technical guidance and support to your team. What are we looking for: • Strong Technical and Management Background • Expertise in Key Technologies: • Architecture savvy- A must • Proficiency in Python, with a solid understanding of software development best practices in this language- an advantage • Knowledge and hands-on experience with JavaScript, Typescript, and React/Angular- An advantage • Knowledge in Docker, micro-service architecture, FastAPI, Express, and Terraform- An advantage Requirements • Minimum of 10 years of experience as a software engineer, with a proven track record in large-scale, production-grade software development projects. • At least 4 years in a management or group leadership role, ideally overseeing high-output teams. • A degree in Computer Science, Engineering, or a related field from a reputable university- An advantage • Leadership and Interpersonal Skills: • Strong communication and leadership skills, capable of effectively motivating and managing software development teams. • Experience in leading leaders- An advantage. • Excellent interpersonal skills and a team-oriented mindset.

Description About Us Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered across a company’s systems, then act on it across the case lifecycle: automating what we can, escalating to a human expert when it matters. Built on 100+ deep integrations, the platform runs products already live in production, including Self-Service, Knowledge, Triage, Assist, Intelligence, Alerting, and QA, all sharing one foundation so they ship fast and improve as the platform grows. That shared foundation makes this an exciting, unusual place to build. Each product we launch would have been an entire company in the pre-AI era; for us, it’s a focused product on common infrastructure, so each deployment builds on the last. Our no-code Agent Builder lets teams design and deploy agents with governance and traceability, while our Customer Context Model routes recurring issues and account risk to the teams that can fix them. Every deployment lowers our customers’ cost to serve. We’re hiring engineers and product leaders who want to build systems that get more capable the more they run. About the Role Mosaic builds the AI platform that technical support teams run on. Our agents, retrieval, and reasoning sit at the core of how customer-facing teams answer questions, resolve cases, and surface insights. The depth and reliability of that AI is the product. You’ll start with an active research roadmap,, from self-improving evaluation infrastructure to agentic RAG to multimodality. You’ll work with a small team of researchers who are already in place. We’re looking for a hands-on researcher who will do much of this work directly, lead the team day to day, and grow into a bigger leadership role as the team expands. Expect most of your week to go to research and building. What you’ll do • Work hands-on across the AI/ML core of the Mosaic platform (retrieval, agents, model routing, and evals) and own the research that improves it. • Shape the research agenda with the VP of Product and engineering, including what we investigate, how we measure it, and what goes into the product. • Lead a small research team day to day, set goals with each researcher, and help hire as the team grows. • Work inside the product team and with engineering to turn research into features customers use. • Define the quality bar for our AI outputs and make it measurable. Requirements What you bring • MSc or PhD in Machine Learning, NLP, Computer Science, or a closely related field. This is a hard requirement. • 6+ years of hands-on industry experience building production AI/ML systems. • Real production experience with AI agents: designed, built, evaluated, and improved them. Not just experimented. • Prior experience managing researchers or ML engineers. • Independent research mindset: a point of view on what to bet on next, and the judgment to defend it. • Track record of shipping research into product, not only papers or prototypes. • Comfortable partnering deeply with engineering and product. • You still enjoy writing code and running experiments yourself, and you want that to stay a big part of your job. Nice to have • Experience with enterprise B2B SaaS or applied research in industry (not only academic). • Public contributions (papers, talks, open-source, technical writing) that show the way you think. • Experience with RAG systems, evaluation infrastructure, or multi-agent orchestration at scale. Logistics Tel Aviv (Midtown), hybrid: Mon/Tue/Thu in-office.

Description About Us & Our Product Mosaic AI is the only enterprise AI platform built for technical support in highly configurable, multi-product companies. We unify the customer, product, and support context scattered across a company's systems, then act on it across the case lifecycle: automating what we can, escalating to a human expert when it matters. Built on 100+ deep integrations, the platform runs products already live in production, including Self-Service, Knowledge, Triage, Assist, Intelligence, Alerting, and QA, all sharing one foundation so they ship fast and improve as the platform grows. That shared foundation makes this an exciting, unusual place to build. Each product we launch would have been an entire company in the pre-AI era; for us, it's a focused product on common infrastructure, so each deployment builds on the last. Our no-code Agent Builder lets teams design and deploy agents with governance and traceability, while our Customer Context Model routes recurring issues and account risk to the teams that can fix them. Every deployment lowers our customers' cost to serve. We’re hiring people who want to build systems that get more capable the more they run. The Role We are looking for a hands-on, strategic Head of Finance & Operations to build and own the company’s finance function and the operations around it: compliance, internal tooling and company processes. This role combines execution with leadership, from day-to-day financial operations to strategic planning, board work and partnering with the CEO. The ideal candidate is self-driven, analytical and business-oriented, with a track record of growing quickly in finance leadership and the energy to keep building at a startup. You’ll take an AI-first approach, rethinking how finance and operations work as the tools change. Responsibilities • Own all financial operations: budgeting, forecasting, cash management, and reporting. • Lead financial planning and analysis (FP&A), including building and maintaining financial models. • Act as a thought partner to the CEO, supporting decisions with clear, data-driven insights. • Prepare board and investor reporting, present to the board, and partner with the CEO on fundraising. • Own financial controls and compliance programs, including SOC 2, ISO, HIPAA and audits. • Work closely with leadership across the company to align financial strategy with business goals. • Drive pricing and business-model analysis with leadership. • Own internal software and tooling, and redesign company processes where they slow us down. • Proactively identify cost savings, from vendor spend to AI and infrastructure costs. • This is a lean function: you’ll lead it with our Operations Manager as your direct report and an outsourced accounting firm behind you, with room to grow the team as the company scales. Requirements • Strong financial and strategic thinking; ability to connect numbers to business outcomes. • Executive presence and excellent written and spoken English. Much of our company and board communication is in English. • Experience in high‑growth startups or similar dynamic environments. • Strong finance and accounting foundation. CPA is an advantage. • Board or executive-level reporting experience. • Experience with SOC 2, ISO, HIPAA or similar compliance programs, and with owning internal systems or tools. • AI-first: comfortable using AI to rethink processes and tooling. What We Value • High intellectual sharpness and fast learning. • Ownership mindset and accountability. • Ability to simplify complex problems and drive decisions. • Strong cultural fit: low ego, direct communication, and high standards. We are based in Midtown TLV, working in a hybrid mode.

About the team Our Customer Care team is the front line for Mesh's fastest-growing customer segments: early-stage startups and small businesses referred through our partner network. You'll help these customers get real value from Mesh from day one, and grow with them as their business scales. It's a high-impact role on a team that's still being built, with real room to shape how we work with this segment. What you'll do Manage the Customer Care team portfolio of onboarded and existing customers, including direct startup signups and partner-referred small businesses, and drive adoption, retention, and long-term success. Monitor account health across your portfolio, spot risk early, and step in before it becomes churn. Run programs that reach many customers at once (emails, short trainings, help content) to drive adoption and engagement. Spot opportunities to grow each customer's spend with Mesh as their business grows. Own renewals across your portfolio, and know when to bring in a senior CSM or leadership for higher-touch cases. Coordinate with partner contacts during onboarding handoffs for a smooth experience. Bring the voice of these customers back to Product and Sales. What we're looking for 1-2 years in a customer-facing B2B role, such as customer success, account management, Business customer support, or sales development. Comfortable managing a high volume of accounts at once. Clear, friendly verbal and written communication (English and Hebrew). Hands-on experience working with AI tools (Claude, Gemini) is a must. Familiarity with CRM tools (Salesforce or similar) is a plus, but not required. Nice to have Experience with startups or early-stage companies. Experience with partner or channel-referred customers. Fintech or SaaS background. Sounds like your kind of challenge? Send your resume to [email protected], and let's talk!

About Spacial: At Spacial, we’re redefining how the built world gets designed, engineered, and approved. With decades of combined experience across architecture, engineering, and construction, we’ve felt the industry’s pain points firsthand — slow approvals, endless redlines, and unclear requirements that derail even the best designs. We built Spacial to fix that. Our AI-powered platform automates structural and MEP engineering, transforming 2D plans into permit-ready, code-compliant drawings in days, not months. This isn’t just optimization. It’s a new standard built to give the AEC industry speed, clarity, and control from day one. By connecting architects, engineers, builders, and homeowners on a single platform, Spacial eliminates friction, streamlines approvals, and accelerates how ideas become reality. About the Role: We are seeking a highly innovative AI Researcher to conduct fundamental and applied research, pioneering the next generation of Generative AI solutions. This role is focused on the theoretical and practical advancement of Large Language Models (LLMs), agent-based architectures, and novel algorithms to create transformative solutions for the construction and design industry. You will be responsible for conducting rigorous experimentation, contributing to the research roadmap, and translating groundbreaking research insights into real-world applications. Responsibilities: • Conduct research, design, and implement novel Generative AI systems using LLMs, vision-language models, and advanced agentic frameworks (e.g., LangChain, LlamaIndex). • Develop and optimize cutting-edge algorithms and methodologies for LLM fine-tuning, retrieval-augmented generation (RAG) optimization, and advanced context engineering. • Perform rigorous experimentation and evaluation of novel GenAI-powered solutions to push the boundaries of model efficiency, performance, and robustness. • Collaborate closely with engineering teams to guide the technical translation of research prototypes into production-grade, high-impact AI products. • Contribute to the long-term AI research direction for the company, staying at the forefront of emerging techniques and academic breakthroughs. • Develop and implement computer vision algorithms that significantly enhance the performance and functionality of our product. Qualifications: • Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field (Mathematics, Physics, Electrical Engineering, Computational Biology, etc.). • Minimum of 5+ years of combined experience in AI/ML research and development, with a deep focus on Generative AI, LLMs, and Deep Learning. Required Skills: • A strong, demonstrable track record of research impact, including a history of publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ACL) or significant open-source contributions/patents in AI/ML. • Expertise in the theory and practical application of LLM fine-tuning, advanced RAG architectures, and complex agentic systems. • Exceptional proficiency in Python and deep expertise with major ML/Deep Learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers). • Strong foundation in software engineering and algorithm development, with experience working with large datasets. • Exceptional problem-solving, creative thinking, and analytical skills. Preferred Skills: • Experience with multimodal AI (vision-language models, diffusion models). • Familiarity with the challenges and real-time considerations for managing AI workloads in a production environment. • Knowledge of parallel computing and optimization techniques for large-scale model training and inference. Why Join Us? Opportunity to define and shape the future of AI-powered solutions at the critical intersection of fundamental research and real-world product impact. Work directly on cutting-edge GenAI technologies with the potential for a significant global impact in the construction and design industry. A collaborative, innovative startup environment with direct access to experienced founders. Flexible hybrid work arrangement. If you are a pioneering researcher passionate about pushing the theoretical and practical boundaries of Generative AI, we would love to hear from you.

Develop cutting-edge AI methods to design and optimize antibodies, advancing therapeutic programs and Scala's protein design platform. Scala Biodesign is a biotech startup pioneering computational protein design platforms that power the next generation of biologics and industrial enzymes. Built on over a decade of research at the Weizmann Institute of Science, Scala's technology is trusted by ten of the world's top twenty pharmaceutical companies and by global leaders in chemical production. Our platform has been used to design antibodies, complex drug targets, and enzymes, including a malaria vaccine candidate currently in Phase II clinical trials. Our platforms fuse physics-based modeling, AI, and evolutionary data and have been shown in numerous cases to optimize key properties such as potency, manufacturability, and stability under industrially relevant conditions, delivering major performance gains in a single design round and significantly reducing experimental costs. We are looking for an Applied AI Researcher to join our multidisciplinary Antibody team composed of computational biologists, mathematicians and protein designers. In this role, you will drive the development and application of advanced machine learning methods to design and optimize antibodies, contributing directly to cutting-edge therapeutic programs and to the evolution of Scala's computational platform. Responsibilities: - Develop and apply cutting-edge AI/ML methods for antibody design, including generative modeling and protein language models - Design and implement algorithms for multi-objective optimization of antibodies (e.g., affinity, specificity, stability, developability) - Build tools to support iterative design cycles, combining computational predictions with experimental feedback - Collaborate closely with experimental and computational teams to translate models into impactful design outcomes - Stay current with advances in machine learning, structural biology, and AI-driven protein design Requirements: - Ph.D. in Computer science, Physics, Mathematics, computational biology or related field with 2+ years of industry experience, or an M.Sc. with 5+ years of relevant industry experience. - Strong proficiency in Python and PyTorch, with hands-on experience training and fine-tuning deep learning models on GPUs. - Strong algorithmic thinking and problem-solving skills, with the ability to translate theoretical ideas into practical solutions. - Strong communication and collaboration skills. - Fast learner and proven ability to master new domains. - Advantage: Proven experience developing and applying machine learning models to biological or chemical data. Experience with antibody modeling and design (sequence, structure, or interaction prediction). - Advantage: experience profiling and optimizing GPU workloads.

Build and execute Scala's marketing function, turning breakthrough technology into commercial momentum. About Scala Scala Biodesign is developing ScalaOS, a next-generation protein design software platform that is transforming how scientists engineer proteins. Scala works primarily with the pharmaceutical and biotechnology industries, supporting protein design challenges across drug discovery, therapeutics, antibodies, enzymes, and other protein-based applications. Our customers range from leading global pharmaceutical companies, including top-20 pharma enterprises, to small and mid-sized biotech companies. ScalaOS brings together AI, physics-based modeling, evolutionary data, and structural bioinformatics in one intuitive environment, enabling R&D teams to design stable, high-performing proteins and address complex multi-property optimization challenges. Originating from research at the Weizmann Institute of Science, Scala helps pharmaceutical and biotech R&D teams accelerate the development of better protein-based products. Founded in 2022 and backed by top-tier venture capital investors, Scala is growing rapidly and building a team to bring its platform to scientists everywhere. About the Role We are looking for a hands-on Marketing Lead to build Scala's marketing foundations from the ground up. This is a rare opportunity for a B2B marketer to take ownership of how a cutting-edge computational biology software company communicates its product, creates demand and supports commercial growth. Reporting directly to the CEO, you will turn complex science and technology into clear market-facing assets, increase awareness of Scala among relevant biotech, pharma and industrial audiences and create the marketing infrastructure needed to support lead generation, sales, partnerships and events. Key Responsibilities Own Scala's core messaging and content direction, translating complex science and product value into clear, compelling communication for biotech, pharma and life-science audiences. Create high-quality marketing and commercial assets, including website content, one-pagers, presentations, case-study content, webinar materials, event assets and outreach-support materials. Develop targeted campaigns that generate and nurture qualified leads, supporting Sales, Business Development and SDR efforts in opening and advancing commercial conversations. Manage Scala's digital presence and content distribution across the website, social channels, SEO/AIO, and other relevant visibility channels. Manage external marketing vendors to support marketing execution. Build simple marketing workflows and use data, feedback, and AI tools to improve content, campaigns and execution over time. Qualifications 5+ years of B2B marketing experience in deep tech, software, scientific or other technology-driven industries. Exceptional English writing and communication skills, with a strong ability to create clear, compelling messaging for complex or technical products. Experience supporting sales, business development, outbound, lead nurturing, webinars, events or ABM initiatives through marketing content and campaigns. Highly proficient in using AI and software tools to improve content creation, workflows, campaign execution and productivity. Highly organized, proactive and comfortable building structure in a fast-moving startup environment with limited existing marketing infrastructure. Professional or academic background in life sciences or other science disciplines (physics, chemistry).