Your Opportunity:

- Design visual interface and contribute to the user experience of every

component part of the Tenable One platform.

- Partnering closely with Product Management, Engineering, and other

cross-functional partners.

- Provide strategic insights, conduct independent design research, collect

and analyze behavior through a variety of qualitative and quantitative

methods, understand and incorporate complex technical and business

requirements into research.

- Practice and help evolve the team’s design techniques and toolset to

work effectively within a rapid product development cadence.

- As a senior designer, demonstrate leadership and passion in all the

above points.

What You'll Need:

- 5+ years of design experience, with a focus on integrating complex

visual design components into industrial products.

- English Fluency. Native or bilingual fluency in English is required. You

must be able to articulate complex ideas clearly and persuasively, both in

writing and verbal presentations.

- Experience working across the full product lifecycle, from early

generative research – to ship – to in-market UX research.

- Experience designing research to answer questions about the user

experience.

And Ideally:

- Degree in Design, HCI (Human-Computer Interaction), UX/UI Design, User

Research, Human Factors Engineering or a related field.

- Global Collaboration. Proven experience working closely with

international teams across different time zones. You will act as a key

point of contact for global stakeholders, ensuring seamless alignment on

all projects

- Experience collaborating with qualitative UX researchers.

- Excellent interpersonal, communication, negotiation, and collaboration

skills

- Understanding of the strengths and shortcomings of different research

methods.

- Ability to prioritize time between multiple projects, and be flexible by

adapting to changing schedules and different projects.

Your Role:

DRW is looking for highly skilled Software Engineers for an Algorithmic Trading Research Group in Tel Aviv. DRW office is located at the TLV expo center, right next to TLV University train station and offers highly competitive compensation packages.

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 30 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,000 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration

As a Senior Software Engineer, you will be an integral member of an algorithmic trading team comprised of experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, from hardware and software development to grid computing.   You will be surrounded by cutting edge technology, offered training and continuing education opportunities, and given immediate responsibility.  We are looking for creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business.

How you will make an impact:

• Work with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets.
• Design trading strategy simulation software optimized for distributed computation
• Develop software for large scale data acquisition, storage, accessibility, and visualization
• Work with a team to maintain and extend our existing data analysis infrastructure and toolset
• Guide junior engineers on best practices through mentoring, pair programming, and code reviews
• Create user interfaces for data exploration and post trade analysis
• Accelerate the research lifecycle from strategy prototype to production deployment
• Evaluate new technology and improve our technology stack

What you bring to the team:

• Bachelor’s degree in Computer Science, Computer Engineering, or related field
• 5+ years of software development experience in modern C++ and Python
• A strong understanding of object oriented design, data structures and algorithms
• Ability to advise and collaborate with researchers on software engineering tools and practices
• A solid foundation in programming with the ability to think, communicate, and code clearly
• Skills in numerical computing, machine learning, and visual intelligence
• Demonstrated ability to produce algorithmic code in a fast-paced environment

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-GV1 #LI-Onsite

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,000 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration

DRW is looking for highly skilled Machine Learning Engineer for an Algorithmic Trading Research Group in Tel Aviv. DRW office is located at the TLV expo center, right next to TLV University train station and offers highly competitive compensation packages.

As a Machine Learning Engineer, you will be an integral member of an algorithmic trading team comprised of experienced technologists and quantitative researchers. Your team will work closely to solve challenging technical problems and contribute to our full tech stack, from hardware and software development to grid computing.   You will be surrounded by cutting edge technology, offered training and continuing education opportunities, and given immediate responsibility. We are looking for creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business.

How you will make an impact:

• Build infrastructure for running Machine Learning algorithms on big data.
• Optimize Machine Learning algorithms to run under latency constraints.
• Parallelize Machine Learning algorithms to run on a parallel compute grid.
• Build software for data acquisition and cleaning that can handle hundreds of terabytes of data.
• Build data visualization tools for feature exploration and model verification.
• Integrate Machine Leaning algorithms into trading strategies simulations to verify end to end performance improvements.
• Contribute to technological innovation through exploration of cutting-edge hardware, software, and methods.
• As an active member of the research team you will have an impact on the technological direction and the analysis of trade-offs between complexity and performance.

 What you bring to the team:

• MSc-Bsc  in Computer Science, Computer Engineering, or related field.
• 5+ years of software development experience in modern C++ and Python.
• A strong understanding of object-oriented design, data structures, and algorithms.
• Ability to advise and collaborate with researchers on software engineering tools and practices.
• A solid foundation in programming with the ability to think, communicate, and code clearly.
• Skills in numerical computing, machine learning, and visual intelligence.
• Demonstrated ability to produce algorithmic code in a fast-paced environment.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

#LI-GV1 #LI-Onsite

The Axonius Finance team is seeking a Senior FP&A professional to serve as a strategic financial partner to our CTO organization. Reporting directly to our senior director of Finance, you will drive the end-to-end financial reporting and planning processes for Engineering, Product, and Tech Support teams. This role is instrumental in translating technical initiatives into actionable financial insights to optimize our global R&D investments.

Responsibilities

• Partner with Engineering and Product leadership to develop cost-maximizing strategies and identify key business drivers for technology investments.
• Build and maintain complex financial models to manage OpEx, headcount forecasting, and annual operating plans for the CTO organization.
• Track and report on mission-critical SaaS metrics, including R&D spend efficiency, product development timelines, and engineering productivity.
• Drive monthly and quarterly reporting cycles, providing comprehensive variance analysis and strategic recommendations to executive stakeholders.

Minimum Qualifications

• 5+ years of FP&A experience, specifically within a high-growth B2B SaaS environment.
• Bachelor’s degree in Finance, Economics, Business, or a related quantitative field.
• Advanced technical proficiency in Excel and Google Sheets, including complex modeling (e.g., multi-variable Index/Match).
• Hands-on experience with Workday Adaptive Insights or similar financial planning software.
• Proven experience managing OpEx and headcount forecasting for technical/R&D departments.

Preferred Qualifications

• Demonstrated ability to communicate complex financial data to non-finance technical stakeholders.
• Experience operating in an "IC4" or equivalent senior-level independent contributor capacity.
• Strong understanding of cloud infrastructure costs and R&D productivity metrics.
• Proven track record in a global, fast-paced cybersecurity or enterprise software company.
• High proficiency in English, capable of leading strategic discussions with global leadership.

#LI-HYBRID, #LI-ZR1

Simply's mission is to make the pursuit of creative hobbies simple and fun for all. Our top-grossing apps Simply Piano, Simply Guitar, Simply Sing, and Simply Draw put us on the fast track to building the world's largest consumer subscription service for creative learning. With over a million monthly downloads and hundreds of thousands of daily learners, we're building the AI creative companion for every home.

We're expanding our world-class team and looking for a results-driven Senior Marketer to impact how millions of people around the world learn or discover something new like music, singing, drawing, and more. You’ll have a deep understanding of different audiences, how to communicate with them, and methodologically identify marketing initiatives in pursuit of aggressive growth goals. 

What does a Senior Marketer do at Simply

If you’re truly passionate about driving growth, have a deep understanding of audience behavior and the consumer journey, you might just be our special someone. You’ll work closely alongside product, developers, designers, and data analysts to drive value creation for business growth.

Key responsibilities

• Growth marketing: You’ll build, execute, and optimize marketing strategies across different channels, aligned with our overall business goals and impact areas.
• Direct-to-consumer strategy: You’ll directly influence the journey of millions of people.
• Getting things done from start to finish: Working on multiple projects at a fast pace from conducting research, positioning, building the marketing strategy, hands-on execution, messaging, and measuring results. No challenge is too big! 
• Audience-first thinking: Leading research and turning consumer-centric, quantitative, and qualitative insights into the right message for the right audience across multiple channels. 

Experience and skills

• 3-4 years of strategic marketing experience in a global, performance-oriented, consumer company, start-up or advertising agency
• Extensive experience with content and strategy
• Deeply understand US audiences, the competitive landscape and all parts of the consumer journey, using audience-led thinking to determine the best way to achieve an outcome. 

Spark factors

• Hands-on experience with native social media platforms
• Consumer product experience
• Product marketing experience 
  

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. 

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, Meta, OpenAI, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people.

We’re looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, you’ll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You’ll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.

What does the day to day of a Big Data Analyst Customer Facing (Data Labs) at Similarweb look like:

• Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
• Apply your expertise in quantitative analysis and data mining to turn data into insights.
• Conduct research and develop tools which will help answer client's’ business. questions by using Similarweb’s raw data sets and algorithms.
• Partner with Engineering teams to establish an infrastructure to scale solutions.
• Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly

This is the perfect job for someone who has:

• Analyzing Billions of user-based events into meaningful insights for strategic clients.
• At least 4 years experience with SQL/pySpark for data analysis - Must
• Experience in Python scripting - Must
• Excellent verbal and communication skills in English - Must
• AWS Infrastructure experience - Big Advantage
• Working with clients - Big Advantage.
• Proficiency in Online Marketing/Online Services - Advantage
• At least 2 years work experience in Online/Tech Company - Advantage
• Team player, autodidact, fast learner with excellent analytical, research and business skills.
• Demonstrates initiative and a proactive mindset -Must
• Experienced in independently managing complex projects from start to finish.
• Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
• Master's degree - Big Advantage.

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

#LI-SS #LI-Hybrid

Similarweb is the leading digital intelligence platform used by over 4000 global customers. Our wide range of solutions is used throughout companies ranging from Fortune 5 through SMB.

We help our customers succeed in today’s digital world through data-focused insights that drive competitive benchmarks, strategic analysis, sales processes, investments, and more.  

In 2021, we went public on the New York Stock Exchange, and we haven’t stopped growing since!

We are looking for an FP&A Business Partner to join the FP&A team, as part of the Finance group.

As a FP&A Business Partner, you will work with key stakeholders in the organization to build and maintain a budget and forecast for one of our Divisions and to support Divisional and Finance leaders with analytical tools for decision making. This role provides a high level of exposure to the organization's Leadership. An ideal candidate will be comfortable navigating such a high-growth, entrepreneurial environment independently.

In your day-to-day as FP&A Business Partner at Similarweb, you will:

• Build and develop financial budgeting, forecasting, reporting, and operational metrics tracking for Company’s corporate units.
• Maintain and improve company financial and operational models, and run ad hoc analysis in various areas, including income, resource allocation, and cohort-level insight.
• Deliver insight regarding business metrics, including comparison to prior periods, highlighting key variances / trends and providing high-level commentary for use by management.
• Enable data-driven decisioning by working closely as an "analytical arm" to department heads, building business cases that shape key strategies.
• Proactively identify and analyze opportunities to drive business improvements and share actionable insights with management.

What will you bring to the team:

We are looking for someone who is excited to work in a high-growth SaaS company and be a key player in the decision making process, including go-to-market strategies, financing, and resource allocation. In order to be successful in this role, you've excelled at the following:

• Multi-data-source financial modeling.
• Advanced understanding of Excel (Power Query is an advantage).
• Excellent interpersonal skills and ability to create and maintain relationships with key stakeholders.
• Translating quantitative measurements into operational understanding.
• Thriving in a fast-paced environment and prioritizing deliverables.

The ideal candidate should have:

• B.A. or B.Sc. in Economics/Statistics/Business. MBA or MA is a plus
• 1-3+ years of FP&A or other relevant experience
• Prior experience with Tableau, Salesforce, and Google Sheets is a plus.
• High proficiency in SQL - significant plus.
• Proven experience working closely with BI teams and building complex, data-driven financial models using multiple data sources - significant plus.
• Proven experience in creating and building automated workflows and processes for Finance / FP&A work - significant plus.
• In-depth understanding of the flow / construction of financial models and prior experience in working with company forecasts / budgets
• Ability to communicate data clearly to various company stakeholders.
• Understanding of SaaS and relevant industry metrics.

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity, and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here, as applicable: https://www.similarweb.com/corp/legal/applicant-privacy-policies/

At Similarweb, we build some of the most comprehensive and unique views of how the digital world actually works.

The Data for AI team is a small, specialized group within Similarweb, working closely with a select set of the world’s leading AI organizations (mostly foundational model companies). The team’s mission is to enable these companies to improve their models and AI assistants by applying Similarweb’s data to real-world AI use cases.

The work involves deep collaboration with AI teams and a strong focus on data quality, scale, and applicability to modern machine learning systems. The team operates in a lean, high-ownership environment and plays a direct role in shaping how Similarweb’s data is used in advanced AI products.

About the Role

We’re looking for a Data Analyst to join the Data for AI team. This is a hands-on, customer-facing role focused on working with leading AI companies to turn real-world data into inputs that support model development and evaluation.

You’ll collaborate closely with external AI teams and internal engineering and product partners to deliver data-driven solutions for specific AI use cases. The work is fast-paced, technical, and often open-ended, requiring comfort with large datasets, ambiguous requirements, and end-to-end ownership.

What does the day-to-day looks like:

• Own end-to-end delivery of data solutions for AI use cases, from understanding model and product requirements to analysis, implementation, quality, and automation
• Work hands-on with large, raw datasets to create high-quality data inputs that support model training, evaluation, and iteration
• Apply strong quantitative analysis and data exploration skills to assess coverage, quality, and behavior of data used in AI systems
• Build scripts, analyses, and reusable components in Python and SQL to support scalable and repeatable workflows
• Collaborate closely with Engineering to ensure solutions are reliable, scalable, and production-ready
• Partner directly with external AI teams and internal stakeholders to translate open-ended questions into concrete data outputs

This role is a good fit if you have:

• 4+ years of hands-on experience working with large-scale data using SQL and Spark or BigQuery
• Strong Python skills for data analysis, scripting, and building reusable workflows
• Experience working with raw, imperfect data and turning it into reliable, high-quality outputs
• Strong analytical and problem-solving skills, with the ability to break down open-ended or ambiguous requirements
• Ability to take end-to-end ownership of data projects, from exploration to delivery
• Some hands-on experience with LLM-based systems, such as running inference via APIs, experimenting with prompts, or participating in basic evaluation or testing workflows
• Clear communication skills in English and experience working directly with external stakeholders

Nice to have:

• Deeper hands-on experience with LLMs in production or experimentation, for example prompt engineering, batch inference, or structured evaluation using APIs such as OpenAI, Anthropic, or similar providers
• Familiarity with agent frameworks or orchestration layers (for example LangChain, LlamaIndex)
• Experience with LLM evaluation or monitoring workflows, including offline evals, prompt regression testing, or tools such as LangSmith, Weights & Biases, TruLens, or Ragas
• Experience experimenting with open-source or local models (for example via Ollama, vLLM, or Hugging Face tooling)
• Familiarity with cloud-based data infrastructure, including AWS

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

Similarweb is the leading digital intelligence platform used by over 3500 global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas.

We help our customers succeed in today's digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more.

In 2021, we went public on the New York Stock Exchange, and we haven't stopped growing since!

We are looking for a Product Manager to join our Gen AI Intelligence team, owning the end-to-end data platform that powers our next-generation products.

The Opportunity: Why This Role, Why Now

The marketing world is undergoing its biggest shift in a decade. Discovery is no longer just "search"—it's increasingly mediated by AI. Users are asking questions in ChatGPT, Perplexity, and Google AI Overviews, and the traditional "search → click → website" funnel is fragmenting. This shift has created a new discipline: Generative Engine Optimization (GEO) and AI Engine Optimization (AEO).

Similarweb is uniquely positioned to lead this space. We have proprietary data that reveals not just what AI shows users, but what users actually do next—which channels they visit, where demand flows, and how brands win (or leak) visibility. Our mission is to help marketers understand their visibility in AI platforms, connect that visibility to downstream business outcomes, and take action to improve.

The Impact of This Role

As a Product Manager for our GenAI team*, you will own the data backbone of Gen AI Intelligence. You'll need to be sharp on how to combine, utilize, and analyze diverse data sources** to answer the questions our customers need answered.

You'll work at the intersection of our Data Science team, Data Engineering team, and Platform team—turning raw data assets into user-facing products. But building the right products requires understanding the domain: you'll dig into SEO/GEO workflows, spend time with customers and design partners, and learn how marketing teams actually operate. The goal is to let user context drive your data decisions.

Your core mandate:

• Own a product area end-to-end within Gen AI Intelligence—from the underlying data and pipelines, through the user-facing experiences, to how customers extract value via APIs and integrations.
• Define what data we need, how we structure it, and how we expose it to users and downstream systems
• Deeply understand user workflows and jobs-to-be-done to identify the highest-leverage data solutions
• Partner with Data Science to translate models and extractions into usable, reliable data pipelines
• Ensure data quality, coverage, and governance across our Gen AI data estate
• Drive product development end-to-end: from discovery through definition, prototyping, design, development, and deployment—with continuous iteration
• Collaborate across a multi-disciplinary team: data scientists, data engineers, full-stack developers, UX designers, product marketers, and business stakeholders

What you'll do day-to-day

• Obsess over user context: Understand how SEO practitioners, content marketers, and marketing leaders actually work—what questions they're trying to answer, what data would unlock value, and where current solutions fall short
• Define data products end-to-end: From discovery through definition, schema design, pipeline development, and delivery—ensuring consistent quality and velocity
• Connect data to user outcomes: Work closely with product teams that consume your data (reporting UX, recommendations, APIs) to ensure the data products actually solve user problems
• Partner deeply with Data Science and Engineering: Translate DS models into production-ready data products; define requirements for data engineering pipelines; prioritize platform investments; 
• Define the core metrics, datasets, reports, and insights that will be made available to our users through our SaaS platform, APIs and MCPs.
• Own data quality and coverage: Define metrics for data completeness, accuracy, and freshness; build feedback loops to continuously improve
• Make tradeoffs with evidence: Use quantitative and qualitative analysis and user research to prioritize ruthlessly—not everything can be built, so you need to know what matters most

This is the perfect job for someone who has:

Must-haves:

• 3+ years as a Product Manager on data-centric products (data platforms, analytics products, ML-powered features, or similar)—you've shipped data products that users depend on
• Experience working in a data company or on data products where the core value proposition was derived from data (not just "we use data")
• Strong analytical and data skills: You're comfortable querying data, analyzing patterns, and making data-informed decisions. You can hold your own in conversations about data modeling, schemas, and pipelines
• Deep user empathy and research skills: You don't just build what stakeholders ask for—you dig into user workflows and jobs-to-be-done to find the real problem worth solving
• Experience working with Data Science and Data Engineering teams: You know how to translate between DS/ML outputs and production systems, and you understand the tradeoffs involved
• Strong communication skills: You can write a clear PRD, present to leadership, and align cross-functional teams around a shared vision

Strong pluses:

• SQL proficiency: You can write queries to explore data, validate hypotheses, and QA outputs
• Python or other scripting ability: You can prototype analyses, automate checks, or dig into data yourself when needed
• Experience in digital marketing, SEO, or adjacent domains: Understanding of how marketers think about search, content, and visibility
• Experience with B2B SaaS and enterprise customers: You understand long sales cycles, packaging, and the needs of mid-market/enterprise buyers

Mindset:

• Curiosity over credentials: You want to understand how things work, not just ship features
• Bias for action: You'd rather test a hypothesis with an imperfect solution than wait for perfect information
• Comfort with ambiguity: GEO/AEO is a new space—you'll help define what "good" looks like, not just execute a playbook

Why you'll love being a Similarwebber

You'll work on a genuinely new problem space: GEO and AI visibility is an emerging category. You won't be iterating on a mature product—you'll be defining what the product should even be.

You'll have access to unique data assets: Similarweb's real-user behavioral data is genuinely differentiated. You'll get to figure out how to turn that into user value—a rare opportunity.

You'll actually love the product you work with: When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here.

Diversity isn't just a buzzword: We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience.

We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

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

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 an Analytics Engineer to join our team and play a key role in shaping how data drives our product and business decisions.

This role is perfect for someone who enjoys working at the intersection of data, product, and strategy. While Product Analysts focus on turning data into insights, you’ll focus on building the strong data foundations that make those insights possible. You won’t just run queries; you will design the data architecture and own the "source of truth" tables that power our strategic decision-making.

You’ll work closely with our Growth and Solutions teams, helping them move faster and smarter by making sure the data behind Generative AI, Data-as-a-Service (DaaS), and advanced product models is clear, reliable, and easy to use. Your work will have a direct impact on how we build, scale, and innovate our products.

What You’ll Do

• Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making.
• Translate Strategy into Logic: Work with Product, Growth, and Solutions leads to turn abstract concepts (like "Activation," "Retention," or "Feature Adoption") into precise SQL definitions and automated datasets.
• Enable High-Tech Initiatives: Partner with our AI and DaaS specialists to ensure they have the structured data foundations they need to build models and external data products.
• Optimize for Usability: Ensure our data is not just "there," but easy to use. You will design the data logic that powers our most important product dashboards and growth funnels.
• Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.

What We’re Looking For

• Expert SQL Mastery: You are a SQL power-user. You enjoy solving complex logic puzzles using code and care deeply about query efficiency and data accuracy.
• The "Bridge" Mindset: You can sit in a meeting with a Product Manager to understand a business need, and then translate that into a technical data structure that serves that need.
• Logical Architecture: You have a natural talent for organizing information. You know how to build a table that is intuitive and easy for other analysts to query.
• Product & Business Acumen: You understand SaaS metrics (ARR, funnels, activation, etc.) and how data logic impacts product growth and strategy.
• Experience with Analytics Tools: Proficiency in BI tools (Looker, Tableau, etc.) and a strong understanding of how data flows from technical logs to the end-user interface.
• Degree: B.Sc. in Industrial Engineering, Information Systems, Economics, Computer Science or a related quantitative field.
• Experience: 1+ years of prior experience in a relevant analytics/technical role

Why You’ll Love Being a Similarwebber

• Impact: You are the architect of the data that drives our newest engines (Gen AI & DaaS). Your work literally powers the team's ability to innovate.
• Growth: You will work on the cutting edge of the data stack, gaining exposure to AI implementation and high-scale data logic.
• Collaboration: Our best work comes from face-to-face teamwork in the office, with flexibility to work part-time from home.
• Culture: We’re inclusive, innovative, and supportive. We foster open dialogue and encourage big ideas.
• Perks: Competitive compensation, strong emphasis on well-being, and plenty of opportunities for team bonding.

Scopely is looking for a Lead/Manager Economy and Systems Designer to join the Looney Tunes game team. The position can be based in India (preferably Bangalore) or Tel Aviv, Israel or Barcelona, Spain.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.

The Looney Tunes: World of Mayhem team embraces the "One Team, One Dream" culture every day. Everybody is empowered to work with a high level of autonomy and ownership to deliver the best possible player experience.

What You Will Do

As the Lead/Manager Economy & Systems Designer, you will be responsible for shaping the economy and gameplay systems of Looney Tunes: World of Mayhem. You will ensure a balance between engaging progression, sustainable monetization, and deep, satisfying systems that keep players returning over a long lifecycle. This is a senior role requiring strong collaboration, systems thinking, and a deep understanding of the mobile F2P space.

• Economy & Progression Design

• Design and optimize in-game economies - including currencies, pricing models, existing systems, upcoming features, and progression paths - from early player onboarding through elder player end-game - to drive long-term engagement and maximize revenue
• Conduct segmentation analysis and craft economy models tailored to different user archetypes and LTV tiers
• ​​Define economy KPIs and build mathematical models & simulations to monitor, predict and validate the impact of features on game balance and player behavior

• Game Design Leadership
  • Own feature development from pitch to live operation
  • Gain complete understanding and ownership of back-end Admin tool for game configurations
  • Design, implement and balance new features and systems: Combat systems, Player progression, Game Modes and feature loops
  • Lead the design of tools and workflows that enable scalable live operations and event-driven gameplay
  • Generate clear feature documentation, user flows, diagrams, wireframes, and/or prototypes for new features and systems
  • Analyze game data and player behavior to iterate and evolve live features
    
    
• Collaboration & Strategy
  • Collaborate with the product team, Engineers, Artists & LiveOps to design the optimal daily experience for our players, and deliver impactful features  
  • Mentor and support junior designers on economy and systems design best practices
  • Influence the product roadmap with innovative, data-informed design proposals

What We’re Looking For

• 5+ years of experience in mobile F2P game design with a focus on economy and systems design
• Demonstrated expertise in crafting game features, systems, and economies on at least one shipped live-operated game, preferably RPG or strategy-based
• Experience modelling/maintaining complex Economies (MMO, Strategy-MMO, RPG)
• Ability to simulate and prototype progression systems in Excel, and familiarity with Unity
• Strong game balance instincts paired with quantitative & analytical decision-making
• Bachelor’s degree in Game Design, Economics, Statistics, or related field

Bonus Points

• Knowledge of live-ops tooling and event planning systems
• Familiarity with Looney Tunes IP and a passion for character-based RPGs
• Experience mentoring or leading small design teams

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

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.

We are looking for a highly motivated Bioinformatics Researcher II to join our team!

As a Bioinformatics Researcher, you will design and execute analyses on Ultima sequencing data. You will join our R&D team in Israel to develop computational methods and scalable pipelines that turn raw data into clear biological insights, working at the intersection of biology, computing, and AI. 

 How You’ll Contribute

• Build and run pipelines: Design and execute analysis pipelines on sequencing data in a cloud-based environment
• Work across teams: Collaborate with lab scientists, bioinformatic scientists, data scientists, and clinical partners to define requirements, provide analysis support, and influence the direction of our scientific platform
• Develop and adapt methods: Create new algorithms and apply state-of-the-art approaches to turn high-throughput data into biological insights
• Ensure rigor: Use quantitative and computational methods to validate results and strengthen the impact of our findings

 Qualifications, Skills, Knowledge & Abilities

• MS or PhD in Computational Biology, Bioinformatics, Computer Science, or a related discipline
• 3+ years of relevant industry or academic experience in a hands-on bioinformatics role preferred
• Demonstrated experience analyzing and interpreting large-scale Next Generation Sequencing (NGS) datasets such as WGS, WES, and RNA-seq
• Expert proficiency in Python for complex data analysis and proficiency in UNIX
• A strong foundation in statistics and quantitative analyses
• Proficiency with software development best practices including  version control with Git, containerization with Docker, and unit testing
• Deep expertise in a specific area of genomics, such as somatic variant calling, structural variation, or single-cell analysis
• Hands-on experience deploying and managing bioinformatics workflows in a cloud environment (AWS/GCP) using tools such as  WDL, Nextflow or Snakemake

#LI-Hybrid

About the role

We are looking for a Senior Product Manager to join Yotpo and help build the next generation of our UGC (User-Generated Content) platform, powered by AI.

This role focuses on creating AI-driven capabilities on top of Yotpo’s core products — enabling brands to better collect, understand, and activate customer content such as reviews, ratings, and visual UGC.

You will work in a strong product trio with design and engineering to discover, validate, and deliver solutions that create real value for customers and drive measurable business impact.

This is a unique opportunity to shape how AI transforms customer content into actionable insights and growth engines for e-commerce brands.

What you’ll do

• Partner closely with engineering and product design in a product trio to discover and deliver impactful solutions
• Lead continuous discovery with customers, prospects, and internal stakeholders
• Define problems worth solving at the intersection of UGC, AI, and e-commerce
• Translate customer and business needs into clear product direction and priorities
• Drive fast iteration cycles from discovery to delivery and learning
• Use qualitative and quantitative insights to inform decisions and measure outcomes
• Work closely with GTM, sales, and customer success to ensure strong product adoption and feedback loops
• Become a domain expert in UGC, customer behavior, and AI-driven product capabilities

Requirements

• 5–7 years of product management experience in SaaS companies
• Proven experience working in empowered product teams
• Strong product discovery and delivery skills
• Experience building or contributing to customer-facing products
• Excellent collaboration skills with engineering, design, and GTM teams
• Strong analytical thinking and outcome-oriented mindset
• Ability to operate in fast-moving, ambiguous environments

Strong advantage

• Experience building AI / LLM-based products or features
• Experience working with data-rich products or recommendation / insight systems
• Background in UGC, reviews, or customer engagement products
• Experience in e-commerce or marketing technology
• Technical fluency and ability to work closely with engineering

Why join Yotpo 

You’ll join a fast-moving team building AI capabilities at the core of Yotpo’s UGC platform.

This is an opportunity to shape how brands turn customer content into intelligent, automated, and scalable growth engines — from insight generation to content optimization and activation.

You’ll work in an empowered product environment, collaborate with leading e-commerce brands, and build products that sit at the heart of Yotpo’s strategy.

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

About the Role

Pagaya is seeking an experienced data scientist to join our Model Validation team. The ideal candidate will bring a blend of data science knowledge and analytical skills, understanding in Finance and an understanding of the regulatory landscape of credit lending. As a core team member, you will work closely with model developers to assess model performance, data quality, conceptual soundness, and produce thorough, compliant documentation for regulatory review, ensuring our models meet the highest standards. You will be required to challenge the models, helping Pagaya deliver high-quality validated models for loan pricing and underwriting.

Key Responsibilities:

• Conduct thorough validation of ML models to assess performance, data quality, robustness, conceptual soundness, regulatory requirements and more
• Conduct independent tests to assess performance and limitations, and establish model assumptions
• Suggest and develop alternative models to challenge and improve existing models
• Provide insights into the' strengths and weaknesses of models in terms of Data Science methodology and Finance as well as recommend practical solutions.
• Prepare comprehensive validation documentation
• Support the ongoing monitoring and improvement of existing predictive models
• Stay updated on the latest research in ML credit risk modeling and financial news, ensuring that our practices align with industry standards

Required Qualifications:

• 3+ years of experience in Data Science roles with experience with ML models- Must
• Work experience in a financial company
• Python - experience with data science packages (pandas, numpy,  sklearn, seaborn)
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field
• Excellent problem-solving skills with the ability to think critically and creatively
• Strong communication skills and the ability to work effectively in a collaborative team environment
• Fluent in English, both verbal and written

Preferred Qualifications:

• Masters degree
• Experience in Finance, specifically with financial data or models - advantage
• Experience with cloud platforms (e.g., AWS) and distributed computing
• Familiarity with regulatory compliance requirements for financial models (e.g., SR 11-7)

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
• Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
• Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
• Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
• Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. 

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

About the Role

The Group Lead is a critical leadership position within Pagaya. This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is Pagaya’s largest product).

This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity and executive presence necessary to effectively collaborate with and present to company leadership.

Responsibilities

• Leading, mentoring and managing a multidisciplinary group comprising Data Scientists, Data Analysts and Optimization Specialists.
• Defining and executing overall strategy, ensuring alignment with the company’s financial goals and product roadmap.
• Oversighting of the group's projects, initiating new ideas and proactively improving the company’s abilities.
• Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team.
• Directing the team in performing sophisticated data analytics to identify trends, market anomalies, and segmentation opportunities impacting profitability.
• Leading the development and implementation of optimization algorithms and strategies aimed at maximizing loan portfolio performance, minimizing risk, and increasing overall profitability.
• Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions.
• Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments.
• Guiding the development, validation, and deployment of advanced predictive models to enhance performance.

Requirements

• 8+ years professional experience in Data Science or Data Analytics, preferably within FinTech.
• Proven experience 5+ years managing and mentoring multidisciplinary teams of Data Scientists and Analysts in a fast-paced environment.
• High-level understanding of statistical modeling, machine learning techniques, and optimization algorithms.
• Master's degree or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Operations Research, or Computer Science.
• Descent knowledge in programming languages (e.g., Python) and databases (SQL). Experience with cloud computing environments is a plus.
• An authoritative leader who navigates high-stakes environments with strategic maturity and exceptional communication.

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
• Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
• Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
• Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
• Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. 

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

• Influence change by presenting product and customer data-driven insights to product management and senior leadership; confidently present the outcome of your analysis and make recommendations to executives and team leaders.
• Be the right hand of product and business leaders in building business cases for new product functionality, and tracking the effectiveness of the functionality over time; monitor key metrics, identify business trends and generate forecasts.
• Lead deep-dive analysis that will frame product strategy and product roadmap decisions.
• Foster our data-centric, continuous learning culture with your passion for telling stories with data; grow our best practices around reporting quality, data hygiene, and data governance.
• Own the design, development, and maintenance of ongoing dashboards and their underlying data sets.
• Work collaboratively with product managers and engineers to ensure the right data is generated and collected.

• 5+ years of demonstrated experience working as a data or product analyst, preferably at a growing tech company.
• Degree in Industrial Engineering, Statistics, Economics or another quantitative field
• Confirmed ability to surface key insights that subsequently drove business changes with measurable lift in performance.
• Fluency in common statistical analysis methods; and specifically, the ability to quickly separate data from noise.
• Proficiency using SQL and Excel for data querying and manipulation; comfortable using additional data access and analysis tools.
• Experience with product analytics methodologies.
• Passionate about producing high-quality accurate analytics deliverables.
• Ideally, you are experienced in creating and maintaining dashboards using data visualization tools such as Tableau, Looker, or similar.
• Self-motivation, proactively going beyond the call of duty.
• Creativity and strategic thinking.
• The ability to work comfortably in a constantly evolving environment.

#LI-RO1

We are looking for a Product Analytics Team Lead, a strategic leader who lives at the intersection of data integrity and people development, dedicated to transforming raw metrics into a sophisticated analytical engine. 

In this role, you will act as the guardian of our analytical standards while remaining deeply immersed in the data, ensuring our insights are as precise as they are influential.

You’ll Own:

• The Quality Bar: Defining, implementing, and continuously improving standards, methodologies, and best practices for product analytics.
• Team Growth & Mentorship: Leading, mentoring, and growing a team of product analysts through hands-on coaching and career development.
• Analytics Procedures: Creating and maintaining procedures that ensure data consistency, accuracy, and business relevance.
• Hands-on Execution: Personally leading complex analyses, exploratory investigations, and high-impact deep dives.

You’ll Solve:

• Data Consistency & Accuracy: Fixing gaps in analytics procedures to ensure every insight is reliable and actionable.
• Data Modeling Challenges: Working with engineers and product managers to ensure the right data is generated, collected, and modeled correctly.
• Analytical Complexity: Tackling high-impact deep dives and investigations that require a hands-on, expert approach.

You’ll Impact:

• Data-Driven Decision Making: Ensuring product analytics are business-relevant and lead to clear, actionable outcomes.
• Organizational Excellence: Elevating the team's performance by setting high standards for quality and professional growth.
• Product Strategy Alignment: Bridging the gap between engineering, product, and analytics to build a robust data foundation.

How You’ll Succeed Here:

• 6+ years of experience working in data or product analytics, preferably at a growing tech company.
• Out of which, 2+ years of experience in a managerial or team lead role, managing analysts or similar roles.
• Degree in Industrial Engineering, Statistics, Economics, or another quantitative field.
• Proficiency in SQL and Excel; comfort with additional analytics tools.
• Experience with product analytics methodologies.
• Strong coaching and feedback skills, with a track record of developing people.
• A mindset focused on scaling impact, not just individual contribution.
• Excellent communication skills, with confidence presenting to senior stakeholders.
• Proven ability to surface insights that drove measurable business impact.
• Experience building dashboards using tools such as Tableau, Looker, or similar.
• Ability to balance hands-on analysis with leadership and process ownership.
• Creativity, strategic thinking, and comfort operating in a fast-changing environment.

What makes the Product Analytics department at Gong unique?

Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions and build the best products that create radical impact. We call it “Own. Solve. Impact.”

Our decision-making process at Gong is based on data and not on hunches. Therefore you’ll get an opportunity to play a major part in the company's product strategy and operations and to analyze complex, non-trivial data generated in a fast-moving product, which tens of thousands of users use daily or weekly.

If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you!

About Us

We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us: flexibility, autonomy, positive work relationships, and effective work habits.

If these considerations are important to you when choosing a work place, we'd love to see you with us.

To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details.

#LI-RO1

Navan Edge is creating a new category in travel: an intelligent, conversational AI concierge that supports business travelers across their entire journey. We’re rebuilding the travel booking and management experience from the ground up—making it personal, proactive, and entirely user-centric. Navan Edge isn't just a tool; it’s a travel companion that anticipates needs and solves problems in real time.

The role

We are looking for a strategic, high-energy Senior Product Marketing Manager to spearhead the growth and adoption of Navan Edge. In this role, you sit at the cross-section of Product, Leadership, Marketing, and Legal, ensuring that our innovation is matched by bold, relevant messaging.

Your mission is to build a seamless product-to-market feedback loop that makes our roadmap feel as if it were written by our customers themselves. You will be the primary advocate for the business traveler, translating their needs into a visionary product story that feels human, not just technical.

What you’ll do

• Own the Navan Edge narrative: Develop the overarching product story, positioning, and value drivers. You will ensure we have a differentiated "customer promise" that cuts through the noise of the travel space.
• Strategic GTM ownership: Define further buyer segmentation (ICP) and launch frameworks for new features and geographic expansions.
• Cross-functional catalyst: Act as the connective tissue between Product, C-level stakeholders, Marketing, Legal, and external vendors/partners. You will align these departments to ensure our messaging is not only visionary but also compliant.
• Community collaboration: Partner closely with our Brand Experience Manager to turn customer feedback into advocacy and ensure our community insights directly influence the product roadmap.
• Sales and org enablement: Build the playbooks, talk tracks, and collateral that help our global teams navigate conversations about Navan Edge with confidence and clarity.
• Full-funnel optimization: Guide narrative direction across landing pages, lifecycle emails, and marketing funnels to improve conversion and feature adoption through constant testing and iteration.
• Product roadmap influence: Use qualitative and quantitative customer research to uncover real motivations and objections, acting as a strategic advisor to Product leadership on what to build next.

Your experience and skills

• 5+ years of PMM excellence: Proven experience in end-to-end product marketing for B2B/B2C products, ideally within a fast-paced tech environment.
• Native English speaker: Exceptional storytelling, copywriting, and verbal communication skills are non-negotiable. You must be able to articulate a vision that feels personal and intuitive.
• AI savvy and quality obsessed: Experience integrating AI tools into your workflow to streamline research and content generation. You know how to prompt for efficiency while maintaining a high "quality bar" for the final output.
• Community and user advocacy: Deep experience in "listening" to the market. You know how to leverage customer communities to gather insights and turn users into brand champions.
• Presentation and design literacy: Expert-level ability to build narrative-driven decks. You can take a complex concept and turn it into a simple story that wins over both users and executives.
• Stakeholder management: Demonstrated ability to influence executives and navigate complex cross-functional environments to get products to market.

Strategic and data-informed: Ability to use customer research and market signals to guide product priorities and GTM focus.

About Guidde

Guidde is an AI digital adoption platform that serves as the creation and consumption hub for modern organizations. Founded in 2020 by seasoned entrepreneurs, we use generative AI to transform workflows into rich, multi-format documentation in minutes. Our platform helps teams scale knowledge across employees, customers, and even AI systems, turning everyday processes into instant, in-app video guiddes that live where work actually happens.

More than 4,500 organizations worldwide, from fast-growing startups to Fortune 500 enterprises, rely on Guidde to reduce support load, accelerate onboarding, and make knowledge accessible on demand.

We’re building the future of how knowledge is created, shared, and experienced.

The Ideal "Guidder" is like our platform - clear, impactful, and focused on delivering value. We blend a startup environment with sports team principles - strategic in planning, collaborative in execution, and obsessed with customer wins. We value doers who listen more than they talk and who show up ready to play their best game. Ready to make your mark on our roster? Go Guidde!

If you are a product leader who takes full ownership, sets direction, sweats the details, and cares deeply about outcomes. You combine strong intuition with data, stay close to users, and are driven to build experiences that people genuinely love using - then your place is with us!

What will you do?

• Own Guidde’s core creation experience – Define vision and roadmap for the capture-and-edit flow that sits at the heart of the product
• Design seamless cross-platform journeys – Improve the creation experience across Chrome extension, desktop, and web, removing friction at every step
• Stay deeply connected to users – Run interviews, feedback sessions, and continuous discovery to understand real user needs and behaviors
• Turn data into decisions – Define success metrics, track performance, and use insights to guide fast, confident product decisions
• Leverage AI where it adds real value – Identify where intelligent capabilities improve the experience and bring them into production effectively
• Lead cross-functional execution – Work closely with engineering, design, and GTM teams to deliver high-impact product outcomes

What will you need to have?

• 6+ years of product management experience – Owning product areas end-to-end, from strategy through execution and iteration
• Strong user-centric mindset – Consistent experience conducting research and validating decisions through real user interactions
• Cross-functional leadership experience – Proven ability to lead squads and collaborate closely with engineering, design, and business teams
• Data-driven decision making – Comfortable defining metrics, building dashboards, and combining qualitative and quantitative insights
• Experience building AI-powered features – Understanding how to bring intelligent capabilities into real product experiences
• Strong influence and communication skills – Ability to align stakeholders, build trust, and drive decisions without formal authority

Bonus points if you have:

• Experience building creation tools, productivity products, or user workflows
• Experience working in high-growth SaaS environments
• Familiarity with product-led growth (PLG) motion

Your journey with Guidde

Leave Your Mark: Own and shape the core experience that defines Guidde’s product
Work Your Way (Hybrid): Enjoy a flexible work arrangement based in Tel Aviv
Innovate Together: Collaborate closely with Engineering, Design, and GTM teams on a product used globally
Fuel Your Growth: Grow into a senior product leadership role as the company scales
Your Value Matters: Receive a competitive compensation and benefits package

We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about this role but your past experience doesn't align perfectly with every bullet point listed, we still encourage you to apply. If you're a builder at heart, share our company values, and are enthusiastic about making software toolmaking ubiquitous, we want to hear from you.

Perion is a leading full-stack advertising platform empowering CMOs to seamlessly plan, execute, and measure high-performance campaigns across the open web, connected TV, and walled gardens. Our technology enables brands to deliver precision-targeted advertising at scale while providing publishers with robust monetization solutions.

The Opportunity

Key Responsibilities

• Own and evolve our publisher-facing monetization products, from strategic vision through execution and growth
• Conduct comprehensive market research to identify emerging opportunities and business pain points
• Develop data-driven product roadmaps that align with company objectives and market demands
• Collaborate closely with engineering and business stakeholders to build and ship exceptional product experiences
• Define clear success metrics and KPIs that demonstrate business impact and product performance
• Lead competitive analysis to ensure our supply-side solutions remain market-leading

Qualifications

• Adtech Expertise: 3+ years of product management experience in AdTech. Supply-side platforms or publisher monetization experience is an advantage
• Strategic Vision: Demonstrated ability to develop product strategies that drive measurable business outcomes and publisher value
• Analytical Fluency: Strong quantitative skills with experience defining and tracking product metrics that align with business objectives
• Technical Understanding: Strong knowledge of the ad tech ecosystem, including real-time bidding (RTB), ad exchanges, supply-side platforms (SSPs), demand-side platforms (DSPs) and data management platforms (DMPs)
• User Experience: Ability to create intuitive prototypes and collaborate effectively with design teams
• Experimentation Mindset: Experience designing and analyzing A/B tests
• Stakeholder Management: Excellence in aligning cross-functional teams and communicating effectively at all levels

What Sets You Apart

• Experience with real-time bidding, auction dynamics, or yield optimization algorithms
• Understanding of privacy regulations and their impact on the adtech ecosystem
• Experience working with major SSPs, ad exchanges, or publisher platforms
• Track record of successful product launches that delivered significant revenue growth

Work Environment

• Hybrid work model with 3 days per week at our vibrant Tel Aviv office
• Collaborative team environment with direct access to leadership
• Reporting directly to the VP of Product Management

What We Offer

• Opportunity to shape industry-leading adtech products
• Competitive compensation package
• Professional development and growth opportunities
• Work with a talented team of adtech professionals

At Perion, we're building the future of digital advertising. Join us to make a significant impact in this dynamic industry.​​​​​​​​​​​​​​​​

We are seeking a Senior Scientist to join the MyHeritage Science Team, an innovative research team that works with one of the largest DNA datasets in the world. In this critical role, you will build new features and algorithms and improve existing ones, including ethnicity estimation, relationship inference, and prediction of phenotypic traits. This work directly impacts millions of users by providing them with accurate information on their ancestry and family connections.

This unique position offers an exciting blend of academic rigor and industry application, focused on the science behind MyHeritage DNA products. You will apply state-of-the-art science and cutting-edge methods to analyze millions of DNA samples and family trees. Your efforts will help users worldwide discover their heritage and connect with family through science.

What you’ll do

• Work with a huge volume of genetic and genealogical data, which includes the genomes of over 8 million people around the world and billions of genealogical records.
• Develop and expand the company’s DNA analysis toolset, combining bioinformatics, population and statistical genetics, and machine learning, and testing new ideas stemming from both the product perspective and the scientific literature.
• Take ownership of end-to-end development of state-of-the-art DNA products, from conception through research, development and engineering, all the way to mature products released to millions of people worldwide.
• Work closely with engineering, product, and data teams to translate research outcomes into user-facing features and tools.
• Clearly communicate scientific concepts and progress internally and externally.
• Work with bright DNA researchers in a vibrant intellectual environment.

What you bring

• Advanced degree (ideally Ph.D.) in Genetics, Computational Biology, Bioinformatics, or a related quantitative field; and 2+ years of relevant experience in industry or postdoctoral studies.
• Strong background in:
• Population genetics and/or statistical genetics.
• Analysis of genotyping or sequencing data.
• Genomic data pipelines and bioinformatics tools.
• Machine learning or statistical modeling applied to biological data.
• Interrogating and troubleshooting data.
• Strong programming skills in Python/R, using scientific and machine learning toolboxes.
• Hands-on expertise in large-scale parallel computing platforms (cloud computing (AWS), computer clusters, Spark, etc.).
• Proficiency in Python and familiarity with production-scale computational pipelines.
• Familiarity with tools such as Snakemake, Airflow, or other pipeline managers is an advantage.
• Experience with AWS is an advantage.
• Excellent written and verbal communication skills.

About MyHeritage

MyHeritage is the leading global platform for family history. It enriches the lives of people worldwide by enabling them to uncover more about themselves and where they belong. With a suite of intuitive products, billions of historical records, an affordable at-home DNA test, and AI-powered photo tools, MyHeritage creates a meaningful discovery experience that is deeply rewarding. The MyHeritage platform is enjoyed by tens of millions of people around the world who treasure and celebrate their heritage. MyHeritage offers full privacy controls and is available in 42 languages. Learn more at www.myheritage.com. See what it’s like to work at MyHeritage on www.glassdoor.com.

Benefits at MyHeritage

Our employees enjoy a range of benefits to enhance work-life balance and well-being:

• Hybrid work model
• Modern, beautiful offices in Or Yehuda and Tel Aviv with shuttle service from Tel Aviv and employee parking (for our Or Yehuda employees)
• On-site Gym and Pilates classes
• Dog-friendly office
• Well-stocked kitchens and a monthly meal allowance
• Fully funded supplemental health insurance

#LI-Hybrid