About the Role:

We’re looking for a highly motivated AI Developer to help design, build, and deploy intelligent agentic systems across our product ecosystem. In this role, you'll work at the intersection of machine learning, backend systems, and modern frontend technologies to deliver AI-first features that feel magical to users.

This is a hands-on, cross-functional role ideal for engineers who love building full-fledged features—from data pipelines and LLM orchestration to intuitive UI experiences—with a strong product mindset.

Responsibilities:

🧠 AI Agent Design & Integration

• Design and implement autonomous or semi-autonomous agents using LLMs (e.g., OpenAI, Anthropic, open-source models).
• Work with prompt engineering, RAG pipelines, and tool/plugin integrations to enable agents to interact with internal and external systems.
• Build scalable agent runtimes and orchestration layers (e.g., LangChain, Semantic Kernel, ReAct-based agents).

🏗 Fullstack Product Development

• Own full-stack features end-to-end: from backend APIs and data models to React-based frontend interfaces.
• Integrate AI/agent capabilities into customer-facing products with clean UX and measurable performance.
• Collaborate closely with design, product, and data teams to bring ideas from concept to production.

⚙️ Systems & Infrastructure

• Build and maintain backend services and pipelines that support AI agents, including vector search, embeddings, function calling, and observability.
• Optimize inference flows for performance and cost, potentially using streaming, caching, or local model inference.
• Ensure systems are secure, reliable, and compliant with InfoSec standards.

🧪 Experimentation & Continuous Improvement

• Rapidly prototype and iterate on new AI capabilities and user experiences.
• Analyze performance and usage metrics to drive product and model improvements.
• Stay up to date with the evolving AI toolchain and emerging agent architectures.

Requirements:

• 8+ years of fullstack development experience with strong skills in TypeScript/JavaScript, React, and Python (or Node/Go for backend).
• Solid understanding of LLM APIs, agent frameworks (e.g., LangChain, AutoGPT, CrewAI), or custom AI pipelines- Advantage 
• Experience with modern cloud infrastructure (e.g., AWS, GCP, Docker, CI/CD).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS) and retrieval-augmented generation (RAG)- Advantage 
• Product-oriented mindset: you care deeply about building things that work well for users.
• Bonus: experience with observability, feedback loops for AI agents, or embedded AI evaluation techniques.

Why Join Us:

• Shape the foundation of our AI-first product vision.
• Work closely with a world-class team of engineers, product leaders, and data scientists.
• Opportunity to own impactful systems and ship fast in a nimble environment.
• Competitive compensation, equity, and benefits in a fast-growing company.

At Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide including Google, eBay, and Adidas — to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people.

About the Role

We’re looking for a Product Analyst to join our team and act as a central pillar between our data, our product, and our business strategy.

This isn’t a role for someone who just wants to answer tickets. You will be embedded with Product Managers and Growth leaders to not only provide data but to help shape the roadmap and influence how we build, launch, and monetize our products. We are looking for an analyst with a "business partner" mindset, someone who can look at a dataset and see the commercial opportunity or the user friction point before others do.

What You’ll Do

• Strategic Partnership: Work alongside PMs and leadership to define success metrics for new features and long-term growth initiatives.
• Full-Funnel Ownership: Design and measure KPIs across the entire user journey, from initial activation to complex monetization and retention loops.
• Proactive Discovery: Conduct deep-dives to uncover hidden bottlenecks. You won't just report on what happened; you'll recommend what we should do next.
• Narrative Building: Translate complex technical data into clear, "bottom-line first" narratives that drive action across the company.
• Cross-Functional Support: Act as the analytical bridge, supporting multiple product domains and ensuring a consistent, data-driven approach to every decision.

What We’re Looking For

• SaaS Experience: At least 2 years of experience as an analyst within a SaaS environment. You understand the core levers of a subscription business (ARR, Churn, PLG etc).
• Technical Versatility: High proficiency in SQL and experience with BI tools (Looker, Tableau, etc.). You are comfortable picking up new tools and datasets quickly.
• Commercial Intuition: You have a natural ability to connect user behavior to business outcomes. You understand that data is only valuable if it leads to a decision.
• Drive & Curiosity: You are a self-starter who takes extreme ownership. You don't wait for the "perfect" brief; you dig in and find the answers.
• Strong Communicator: You can present technical findings to non-technical stakeholders in a way that is clear, persuasive, and insightful.
• Degree: B.Sc. in Industrial Engineering, Economics, Statistics, or a related quantitative field.

Why You’ll Love Being a Similarwebber

• Impact: Your work will influence both product and business strategy across our global customer base.
• Growth: We foster a culture of open dialogue where big ideas are encouraged. This role offers real room to grow in scope and influence.
• Product: You’ll work with the world’s most powerful digital intelligence platform and actually love it.
• Culture: We’re inclusive, innovative, and supportive.

#LI-Onsite

About Sisense

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating innovation in embedded analytics at scale.

The Role

We are looking for a Product Marketing Manager with exceptional writing skills and a genuine passion for crafting clear, compelling, and technically accurate content. In this role, you will translate complex AI-powered analytics capabilities into clear value propositions that resonate with developers, product teams, and technical decision-makers.

You will own the creation of high-impact content (product messaging, positioning, whitepapers, blog posts, case studies, decks, and launch materials) and help drive product adoption through thoughtful storytelling and go-to-market execution.

Key Responsibilities

• Craft clear, persuasive, and technically accurate product messaging, positioning, and storytelling for Sisense’s AI-embedded analytics platform.
• Write and own high-quality content assets, including product guides, pitch decks, launch materials, etc.
• Develop and execute go-to-market strategies for new features and product releases, with a strong focus on content and developer communication.
• Collaborate closely with Product, Engineering, Sales, and Design teams to deeply understand features and translate them into customer-facing narratives.
• Create and maintain buyer personas, competitive battlecards, and enablement materials for Sales and Customer Success.
• Support content distribution across channels (website, LinkedIn, Medium, conferences, webinars).
• Measure content performance and continuously improve based on engagement and conversion metrics.

About You

• 4–7 years of experience in Product Marketing, Technical Marketing, or Content Marketing in B2B SaaS/tech.
• Exceptional writing ability - you have a proven track record of producing clear, engaging, and technically precise content.
• Strong ability to understand complex technical concepts (especially AI, analytics, data platforms) and distill them into accessible, compelling narratives.
• Experience creating product messaging, positioning documents, and go-to-market content.
• Excellent collaboration skills - you thrive working with Product, Engineering, and Sales teams.
• Data-driven mindset with the ability to measure and optimize content performance.
• Fluent English (Hebrew is a strong advantage).
• Self-starter with high ownership and attention to detail.

Nice to Have

• Background in analytics, BI, AI/ML, or developer tools.
• Experience with embedded analytics or API-first platforms.
• Portfolio of published articles, whitepapers, or technical content.

Why Join Sisense

This is a high-visibility role where your writing and strategic thinking will directly shape how the market perceives Sisense’s AI-powered platform. You’ll work with cutting-edge technology, a talented global team, and have real impact on product adoption and growth. Competitive compensation, equity, and the opportunity to grow with one of the most innovative players in embedded analytics.

If you’re a strong writer who loves turning complex technology into compelling stories, we’d love to see your work.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.

In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.

You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.

Key Responsibilities

• Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

• Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.

• Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.

• Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.

• Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

Required Qualifications

• Experience: 5–10 years of experience in data science or machine learning roles, with 3+ years of experience in people management.

• Technical Proficiency: Expert proficiency in SQL and Python. You must be capable of writing and reviewing production-grade code and have hands-on experience with cloud environments (GCP, AWS, Databricks).

• Modeling Expertise: Strong background in Classical ML, Deep Learning, and familiarity with Generative AI (LLMs, Multimodal embeddings, Langchain or like technologies).

• Engineering Mindset: Proven ability to bridge the gap between Research and Engineering. Experience deploying models to production and maintaining them is essential.

• Education: Master’s degree in Computer Science, Math, Statistics, or a related quantitative field; a PhD is strongly preferred.

Preferred Qualifications

• Experience in the mobile gaming industry or high-velocity B2C tech environments.

• Passion for gaming and experience playing various game genres.

• Familiarity with modern data platforms (e.g., Vertex AI, Cloud Run, Sage).

What You'll Need to Succeed

• Independence & Proactivity: Ability to operate in a fast-paced, dynamic environment, managing timelines and mitigating risks effectively.

• Data-Driven Storytelling: Fluent English is mandatory. You need the ability to translate complex data science concepts into clear, compelling narratives for non-technical stakeholders to influence decision-making.

• Collaborative Spirit: A willingness to work across borders and time zones, partnering effectively with teams in Tel Aviv and North America.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.

In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.

You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.

Key Responsibilities

• Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

• Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.

• Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.

• Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.

• Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

Required Qualifications

• Experience: 5–10 years of experience in data science or machine learning roles, with 3+ years of experience in people management.

• Technical Proficiency: Expert proficiency in SQL and Python. You must be capable of writing and reviewing production-grade code and have hands-on experience with cloud environments (GCP, AWS, Databricks).

• Modeling Expertise: Strong background in Classical ML, Deep Learning, and familiarity with Generative AI (LLMs, Multimodal embeddings, Langchain or like technologies).

• Engineering Mindset: Proven ability to bridge the gap between Research and Engineering. Experience deploying models to production and maintaining them is essential.

• Education: Master’s degree in Computer Science, Math, Statistics, or a related quantitative field; a PhD is strongly preferred.

Preferred Qualifications

• Experience in the mobile gaming industry or high-velocity B2C tech environments.

• Passion for gaming and experience playing various game genres.

• Familiarity with modern data platforms (e.g., Vertex AI, Cloud Run, Sage).

What You'll Need to Succeed

• Independence & Proactivity: Ability to operate in a fast-paced, dynamic environment, managing timelines and mitigating risks effectively.

• Data-Driven Storytelling: Fluent English is mandatory. You need the ability to translate complex data science concepts into clear, compelling narratives for non-technical stakeholders to influence decision-making.

• Collaborative Spirit: A willingness to work across borders and time zones, partnering effectively with teams in Tel Aviv and North America.

About Sisense

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for thousands of global customers.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are pushing the boundaries of embedded analytics and making AI-driven insights accessible at scale.

The Role

As a Full-Stack Engineer, you will play a key role in building and enhancing the core platform that powers embedded AI analytics. You will work across the stack — from backend services and APIs to frontend interfaces — helping to deliver delightful, high-performance experiences for both developers and end users.

This is a hands-on role where you’ll contribute to features that directly impact how customers embed intelligence into their products, with a strong focus on scalability, developer experience, and innovation.

Key Responsibilities

• Develop and maintain full-stack features using Node.js (backend) and React (frontend).
• Build and optimize APIs and services that power our embedded analytics capabilities.
• Collaborate closely with Product, Design, and other Engineering teams to deliver high-quality, user-centric solutions.
• Participate in code reviews, architectural discussions, and technical decision-making.
• Contribute to improving platform performance, reliability, and developer experience.
• Help shape and implement features related to Sisense Intelligence (agentic AI, conversational interfaces, predictive analytics).
• Write clean, maintainable, and well-tested code while following best practices.

About You

• 2-3 years of full-stack development experience with a strong focus on Node.js and React.
• Understanding of modern web technologies, REST/GraphQL APIs, and frontend architecture.
• Strong problem-solving skills and ability to break down complex requirements into actionable tasks.
• Comfortable working in a fast-paced, collaborative environment with high ownership.
• Fluent English (Hebrew is a plus).
• Passion for best coding practices, user experience, and using AI tools to enhance development responsibly.

Nice to Have

• Experience building scalable backend services and responsive, performant user interfaces.
• Experience with TypeScript, Next.js, or modern frontend frameworks.
• Exposure to cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Background in data-intensive applications, BI/analytics tools, or developer platforms.
• Familiarity with AI/ML concepts or building AI-powered user experiences.

Why Join Sisense

This is a high-impact role where you’ll work on cutting-edge embedded AI analytics technology and directly influence how developers and enterprises build intelligent applications. You’ll join a talented engineering team in Israel, enjoy competitive compensation, meaningful equity, and the opportunity to grow with one of the most innovative players in the analytics space.

If you’re a motivated full-stack engineer who loves building great products and wants to work on AI-powered data solutions, we’d love to hear from you.

About Gong

At Gong, we’re transforming customer-facing teams with our AI-powered platform that understands conversations, guides sales professionals, and drives better business outcomes. Security and trust are foundational to everything we build.

As a Senior Product Security Engineer, you will help shape how security is built, not just how it is tested or reviewed. You’ll work closely with engineering teams to secure real systems in production, influencing how services, APIs, and data flows are implemented from the ground up.

This is a hands-on role, focused on solving real security problems across cloud-native architectures and AI-driven features. You’ll work directly with developers and DevOps, dive into systems when needed, and apply strong technical judgment to ensure security is built into the product, not added later.

What Makes This Role Unique at Gong

• A product where data sensitivity is real, not theoretical
  Gong processes and analyzes customer conversations at scale, creating unique challenges around data protection, privacy, and access control.
• AI is deeply embedded in the product
  Security challenges extend beyond traditional AppSec into data handling, model behavior, and misuse scenarios.
• Security is part of how we build, not a layer on top
  The role operates within engineering workflows, focusing on building secure systems rather than enforcing external controls.
• Meaningful scale and real production impact
  You’ll work on systems that handle large volumes of data and traffic, where security decisions directly affect reliability and trust.
• A culture that values practical, engineering-driven security
  The focus is on solving real problems and enabling teams, not on process-heavy or compliance-driven approaches.
• High ownership with room to grow
  You’ll have the autonomy to take initiative, drive improvements, and expand your impact as the platform evolves.

What You’ll Do

• Secure real product flows end-to-end - Work directly with engineers to identify and fix vulnerabilities across services, APIs, and data paths in production systems
• Drive secure-by-design practices in engineering - provide practical guidance on authentication, authorization, data protection, and service-to-service communication
• Secure cloud-native environments - strengthen identity (IAM), isolation, and access control across Kubernetes, containers, and cloud infrastructure
• Build and scale security in the development lifecycle - integrate and tune security tooling (SAST, SCA, IaC scanning, secrets detection) into CI/CD pipelines to improve signal and developer adoption
• Own vulnerability management as a system - prioritize risks, drive remediation with engineering teams, and eliminate recurring issues through root-cause fixes
• Strengthen software supply chain security - reduce risk across dependencies, third-party components, and build/release pipelines
• Secure AI/ML-driven features - partner with data and AI teams to mitigate risks such as data exposure, misuse, and model-related vulnerabilities
• Raise the security bar across engineering - mentor developers and help teams take ownership of security in their code and services
• Enable fast, informed decisions - clearly communicate risks and trade-offs to support product and engineering velocity

What You Bring

• 5+ years of experience in Product Security, Application Security, or a similar hands-on security engineering role
• Proven experience working closely with engineering teams on real systems in production, not just assessments
• Strong understanding of secure design and threat modeling, with the ability to influence architecture decisions
• Deep knowledge of application security principles (OWASP Top 10 and beyond), including modern attack vectors
• Hands-on experience securing web applications, APIs, and distributed systems
• Strong experience with cloud environments (AWS, GCP, and/or Azure), including identity and access management (IAM)
• Familiarity with Kubernetes, containers, and cloud-native architectures
• Experience integrating security into CI/CD pipelines and improving developer workflows
• Practical experience with security tooling (SAST, SCA, IaC scanning, secrets detection), including tuning and operationalizing
• Experience working with modern development stacks (e.g., Java, Python, JavaScript/TypeScript, React or similar)
• Strong problem-solving skills and the ability to analyze complex systems and prioritize meaningful risks
• Ability to influence developers through technical credibility and practical guidance
• Experience mentoring engineers and improving security practices across teams

Additional strengths:

• Experience securing AI/ML or LLM-based systems
• Background in offensive security/penetration testing

About Gong

At Gong, we’re transforming customer-facing teams with our AI-powered platform that understands conversations, guides sales professionals, and drives better business outcomes. Security and trust are foundational to everything we build.

As a Product Security Architect, you will shape how security is built, not just review it. You’ll work closely with engineering to influence architecture, guide design decisions, and ensure security is embedded across Gong’s platform from the earliest stages where decisions matter most, not just where they are validated. You’ll take on complex, real-world challenges across cloud-native systems and AI-driven features, where security must evolve alongside scale and speed. This role is not about checklists or gatekeeping, but about applying strong technical judgment, making pragmatic trade-offs, and enabling teams to build secure systems by design. If you’re looking to have a meaningful impact on a real product, collaborate with high-caliber engineering teams, and help define modern product security at scale, you’ll find this role both challenging and rewarding.

What Makes This Role Unique at Gong

• A product where security decisions truly matter - Gong processes and analyzes highly sensitive customer conversations at scale, creating unique challenges around data protection, privacy, and trust.
• AI is core to the product, not a side project - You’ll work in an environment where AI/ML is deeply embedded, addressing real-world security challenges that go beyond traditional application security.
• A platform operating at a meaningful scale -  You’ll deal with high-volume data, distributed systems, and production environments where security decisions have immediate and visible impact.
• The opportunity to shape a growing security domain -  Product security at Gong is still evolving, giving you the ability to influence direction, introduce new ideas, and build things the right way.
• A culture that values practical, engineering-driven security - Security is approached with a focus on real risk and practical solutions, not just compliance or process.
• High ownership with room to grow - You’ll have the autonomy to take initiative, drive changes, and expand your impact as the company and platform continue to scale.

What You’ll Do

• Shape security architecture where it matters most, partner with engineers early in the design phase to influence system architecture, define secure patterns, and make critical decisions before code is written
• Work hands-on with engineering teams to secure real systems  review designs, dive into code and PRs when needed, and build small tools or proofs-of-concept to validate security assumptions
• Lead threat modeling and deep design reviews  identify trust boundaries, abuse cases, and high-impact attack paths, and ensure controls hold up in real production environments
• Own security design for authentication, authorization, and APIs, including identity flows (OAuth/OIDC), session management, and multi-tenant access control
• Take ownership of complex security challenges across cloud-native, distributed, and AI-driven systems, where trade-offs are not obvious and solutions require both depth and pragmatism
• Drive secure-by-design practices at scale, build guardrails, reusable patterns, and reference architectures that make secure implementation the default
• Secure AI/ML features in production  address risks such as prompt injection, data poisoning, model misuse, and data exposure in collaboration with AI teams
• Strengthen the software supply chain and CI/CD security to improve how dependencies, build pipelines, and artifacts are secured and validated
• Embed security into developer workflows, integrate SAST, DAST, SCA, IaC scanning, and secrets detection in a way that is effective and adopted
• Partner on high-severity vulnerabilities and incidents to drive root cause analysis, remediation, and long-term fixes that improve system resilience
• Raise the security bar across engineering  mentor developers, influence design culture, and drive strong ownership of security

What You Bring

• 8+ years of experience in Product Security, Application Security, or Security Architecture
• Strong software engineering foundation with the ability to read code (e.g., Java, Python, JavaScript/TypeScript, React or similar), review PRs, and understand systems end-to-end.
• Deep understanding of application security principles (OWASP Top 10, secure design, common vulnerability classes)
• Experience securing cloud-native SaaS environments (AWS, GCP, and/or Azure), including containers and Kubernetes
• Strong knowledge of authentication and authorization systems, including OAuth2, OIDC, SAML, and secure API design
• Hands-on experience integrating security into CI/CD pipelines and developer workflows (SAST, DAST, SCA, secrets, IaC scanning)

• Experience with threat modeling and risk assessment methodologies
• Ability to analyze vulnerabilities end-to-end  from code to architecture to production impact
• Strong communication skills and ability to influence engineering decisions without authority

Additional strengths:

• Ability to work closely with developers and influence engineering decisions
• Strong communication skills with both technical and business stakeholders
• A pragmatic approach balancing security, usability, and speed

Advantages:

• Experience securing AI/ML or LLM-based systems
• Experience with software supply chain security
• Experience in high-scale SaaS environments

Making Security Real

As a Senior Information Security Engineer, you’ll be on the front lines of protecting the systems, users, and data at scale. This role is about turning strategy, architecture, and intent into enforced controls, effective detections, and resilient operations. You’ll work hands-on with the tools, signals, and incidents that define our real security posture.

If you believe security should be practical, measurable, and embedded into daily operations—and not just documented—we want you on the team.

What the Role Looks Like in Practice

You will be the technical anchor of our internal security posture:

• Architectural Ownership: Deploy, manage, and tune enterprise-grade security stacks (EDR, DLP, IAM, CASB, MDM) with a focus on deep integration and automation.
• The AI Frontier: Lead the charge on AI Security. You will implement and secure AI-driven workflows, ensuring LLM use is governed and protected against emerging threats such as data leakage and prompt injection.
• Proactive Defense: Build and maintain high-fidelity detections and guardrails that align with real-world attack techniques.
• Cross-Functional Synergy: Partner as a peer with Engineering, IT, and DevOps to ensure security controls are frictionless, automated, and effective.

What You’ll Bring

Technical Must-Haves:

• 7+ Years of Senior Experience: Extensive hands-on experience in InfoSec Engineering or SecOps within high-growth, cloud-native environments.
• AI Security Mastery (Required): You are ahead of the curve. You have practical experience securing AI adoption and leveraging AI-driven platforms to scale defensive capabilities.
• Deep Technical Stack: Expert-level knowledge of endpoint security (macOS/Linux), SaaS ecosystems, and Identity (Okta/OIDC).
• The Developer Mindset: Advanced scripting skills (Python is a must) to automate away manual toil and build custom security integrations.

Professional & Interpersonal Excellence:

• Strategic Communication: The ability to articulate complex technical risks as actionable business intelligence for diverse stakeholders, ensuring alignment between security objectives and business goals.
• Collaborative Influence: A track record of fostering strong partnerships with R&D and DevOps. You are a facilitator of "Secure-by-Design" principles, focused on engineering solutions rather than creating administrative bottlenecks.
• Crisis Management & Decisiveness: The capacity to maintain operational composure during high-stakes incidents, applying rigorous prioritization and risk-based analysis to drive remediation.
• Pragmatic Professionalism: A disciplined approach to balancing theoretical security ideals with the functional requirements of a high-velocity, global financial infrastructure.

Who Connecteam is:

Connecteam is the leading platform for managing deskless teams, trusted by over 80,000 businesses worldwide.
We built Connecteam for real operators - the people running shifts, jobs, and teams across stores and sites. The kind of work that doesn’t happen behind a desk, and doesn’t have time for messy spreadsheets, scattered group chats, or tools that don’t talk to each other.
Connecteam brings daily operations and team communication into one intuitive app - from hiring and scheduling to training, tasks, and day-to-day coordination. It gives teams the clarity and control to run the day, shift after shift, job after job.
Backed by $220M+ from Insights Partners, Stripes, and Tiger Global, Connecteam is rapidly expanding worldwide - empowering frontline teams to work smarter, stay connected, and operate with greater efficiency.

About The Role

Connecteam is looking for an experienced Data Product Manager with a strong Data Science and Analytics background to own and lead data driven solutions.
In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.

Key Responsibilities

Marketing Data Product Ownership

• Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
• Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
• Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
• Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
• Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
• Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.

Business Analytics, Data Science & AI–Driven Marketing Optimization

• Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
• Work closely with stakeholders to understand what needs to be measured, why and how.
• Lead data science, analytics, and AI initiatives that optimize marketing performance
• Own and evolve core marketing models including attribution, MMM, LTV prediction.
• Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
• Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
• Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
• Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
• Translate complex model outputs into clear, trusted insights for business users.

Experience & Skills

• 5+ years of experience in Data Product Management, Data Science Product, Analytics Product, or similar roles in a tech or SaaS environment.
  Strong understanding of business analytics, KPI definition, and metrics design, alongside marketing data science, performance marketing, and growth analytics.
  Proven experience owning data and analytics products end-to-end, from business problem definition and measurement strategy through strategy, development, and production.
• Hands-on experience working with data scientists, analytics engineers, data engineers, and BI/analytics teams.
• Ability to translate business questions into analytical frameworks, metrics definitions, dashboards, and experimentation plans.
• Familiarity with attribution, MMM, LTV modeling, experimentation, and optimization frameworks.
• Strong communication skills and stakeholder management across technical and non-technical teams, with the ability to communicate insights clearly to business leaders.

Advantages:

• Experience building or productizing AI-powered or agentic systems.
• Background in performance marketing, growth teams or marketing platforms.
• Experience in fast-growing or high-scale startups.
• Strong understanding of experimentation frameworks.
  
  

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. 

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. 

About the Role:

We are looking for a hands-on GTM AI Engineer to design, build, and deploy AI-powered workflows and automations across our go-to-market (GTM) systems.

This role sits at the intersection of business operations and technology, and acts as the engine behind revenue intelligence, process automation, and scalable pipeline generation systems.

You will be a technical force multiplier for our GTM team including creating workflows, agents, and integrations, embedded directly into core business systems (e.g., CRM, marketing automation, support tools).

This is not a traditional software engineering role, but it requires strong technical execution and ownership across the full lifecycle.

What you’ll do:

• Design, build, and maintain production-grade AI workflows and automations to streamline GTM execution (e.g., lead enrichment, routing, research, follow-ups, CRM hygiene, and customer handoffs)
• Develop and deploy LLM-based solutions, including prompt-driven workflows, reusable prompt libraries, and AI agents embedded within business systems
• Build and maintain integrations and data pipelines across CRM, marketing automation, enrichment tools, and internal systems to ensure reliable, connected data across the funnel
• Own workflow performance, review success metrics, iterate and demonstrate business impact.
• Build and maintain AI-assisted pipeline inspection tools to give RevOps and Sales Leadership real-time visibility into deal health
• Identify opportunities to reduce manual work and improve efficiency across RevOps, Sales, Marketing, and Customer-facing teams
• Partner with cross-functional stakeholders to map processes, identify bottlenecks, and prioritize high-impact automation opportunities
• Drive adoption through enablement: documentation, training, and ongoing feedback loops
• Evaluate and implement new tools and technologies based on ROI, scalability, and maintainability 

What you’ll need:

• 4–7 years of experience in Business Systems, RevOps systems, Data/Systems Engineering, or similar hands-on technical roles
• Proven experience building and deploying end-to-end workflows and automations in business environments
• Hands-on experience with LLM tools and prompt/workflow engineering, with a focus on reliability and real-world use cases
• Experience with automation/orchestration tools (e.g., workato) and/or agent frameworks 
• Strong experience integrating and extending CRM systems (e.g., Salesforce), including workflows, data models, and system integrations
• Experience working with APIs, system integrations, and data flows across multiple platforms
• Experience supporting GTM / RevOps in a SaaS environment
• Strong analytical and problem-solving skills, with the ability to prioritize based on business impact
• High ownership and ability to operate independently from idea to production
• Strong communication skills and ability to work effectively with both technical and non-technical stakeholders

#LI-AM1 #LI-Hybrid 

#LI-TL1 #LI-Hybrid 

We are looking for a Research Team Lead to establish and lead a cross-product research team focused on horizontal, high-impact initiatives that influence multiple Cato offerings.

Unlike product-embedded research roles, this team drives foundational and strategic research projects across networking, security, identity, automation, and AI-driven capabilities. Examples include large-scale reasoning systems, autonomous policy frameworks, cross-domain detection and response concepts (xOps), and platform-wide intelligence capabilities.

You will combine deep technical expertise with strong leadership and execution skills -identifying impactful research directions, building a high-performing team, and turning advanced research into real platform capabilities used by thousands of customers worldwide.

Responsibilities

Technical Vision & Strategy

• Define and execute the roadmap for cross-product research initiatives.
• Identify high-leverage research opportunities that impact multiple domains and products.
• Drive long-term architectural thinking and influence platform evolution.
• Balance innovation, experimentation, and production-readiness.

Team Leadership

• Recruit, mentor, and grow a multidisciplinary team of researchers (AI, data, algorithms, networking, security).
• Establish high standards for research rigor, experimentation methodology, and engineering quality.
• Foster a culture of ownership, collaboration, and technical excellence.

Research & Execution

• Lead complex, ambiguous research initiatives from ideation through validation and productionization.
• Design large-scale experiments and validation methodologies using Cato’s data platform.
• Drive innovation in areas such as:
• Autonomous policy systems
• Cross-domain detection and response frameworks
• Large-scale reasoning and decision systems
• Data-driven optimization and automation capabilities
• Ensure research outcomes are measurable, scalable, and aligned with business impact.

Cross-Functional Collaboration

• Work closely with Product, Engineering, Architecture, and Product Research teams to translate research into shipped capabilities.
• Provide technical guidance and influence cross-organizational decisions.
• Act as a bridge between exploratory research and production systems.

Communication & Influence

• Present research findings and strategic recommendations to senior leadership.
• Produce clear technical documentation, design proposals, and internal position papers.
• Represent Platform Research as a center of excellence for cross-product innovation.

Requirements

Education & Experience

• BSc/MSc (PhD is a plus) in Computer Science, Electrical Engineering, or a related field.
• 7+ years of experience in applied research, advanced engineering, or system-level innovation.
• 2+ years of experience leading technical teams or major cross-functional initiatives.

Technical Expertise

• Strong background in networking and cybersecurity, including deep understanding of network protocols, architectures, threat models, and modern security frameworks, with the ability to design and analyze secure, large-scale systems.
• Experience applying AI/ML in production environments.
• Experience designing and delivering complex systems operating at scale.
• Hands-on programming experience (Python, Go, Java, or similar).
• Experience working with large datasets and experimentation frameworks.
• Strong analytical thinking and ability to formalize complex problems.

Leadership & Soft Skills

• Proven ability to lead multidisciplinary teams.
• Strategic thinker with strong execution capabilities.
• Comfortable operating in ambiguous, fast-moving environments.
• Excellent English communication skills.
• Team player, responsible, and well-organized.

Nice to Have

• Experience building autonomous or decision-making systems.
• Experience in networking or security product companies.
• Publications, patents, or recognized technical contributions.

This role is located in Tel Aviv, Israel - We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

About You:

You possess strong technical acumen, people management skills, and a deep understanding of product business value. With years of experience building and delivering web-enabled SaaS products, you're passionate about mentoring engineers. A collaborative, motivated self-starter, you're ready to lead and bring your authentic self to work. You also love cross-functional collaboration with infrastructure, product, design, and customer teams on key projects, and working in a multi-cultural company with offices around the world.

What skills do I need?

• 5-7+ years of SaaS software engineering experience, ideally in contemporary tech stacks, ideally with direct involvement in complex and stable backend infrastructure.
• 2+ years in people management leading a software team, with experience in with hiring, mentoring, and creating career opportunities for your team
• Hands on experience with cross-functional team leadership with technical and customer-facing feature delivery
• Strong understanding of testing and deploying systems in multicloud/multitenant environments.
• Familiarity with integrating software components and third-party technologies.
• Experience architecting systems that integrate agentic and generative AI capabilities.

Key Responsibilities 

• Strategic Team Leadership & Development: Lead and grow a high-performing team of up to 10 software engineers around the world. You'll not only provide coaching and guidance on technical skills but also define clear growth paths for each team member, running regular 1:1s and providing continuous, bidirectional feedback.
• Tel Aviv Site leadership: Act as a key leader in establishing and growing Tulip’s Tel Aviv site, providing technical leadership while also contributing to the operational, cultural, and team-building foundations of the office.
• Technical Vision & Architectural Oversight: Contribute directly to the team's IC work as a "player-coach," while also overseeing the technical aspects of projects, including code quality and system architecture. You'll set relentlessly clear expectations for productivity and efficiency, leveraging your expertise to ensure the team delivers against goals.
• Product Delivery: Own your team's metrics and drive change based on data to impact results. You'll be accountable for setting and delivering on quarterly goals for the team, ensuring their work is aligned with the company's vision and business objectives.
• Cross-Functional Collaboration & Stakeholder Management: Act as a primary point of contact for your team, building strong collaborative networks across different functions at Tulip. You'll communicate changes and important company priorities effectively within your team and also with stakeholders, raising questions when more information is needed.
• Process Improvement & Culture Building: Proactively identify and improve repeatable processes for your team and across the company. You'll build an inclusive, trusting, and open community within your team, ensuring they have the appropriate tools and systems for success.

Key Collaborators:

• Engineering leadership peers on Boston and Munich
• Product team in Tel Aviv and Munich
• Operations team in Tel Aviv, Boston and Munich
• QA team
• Customer-facing teams

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Company equity
• Flexible work schedule and vacation policy
• Working with international colleagues
• Company-provided lunch benefits via Cibus card
• Virtual and physical company events and happy hours
• An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.