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.

Wolt is a Helsinki-based technology company with a mission to bring joy, simplicity, and earnings to the neighborhoods of the world. Wolt develops a local commerce platform that connects people looking to order food, groceries, and other goods with people interested in selling and delivering them.

Wolt was founded in 2014 and joined forces with DoorDash (NASDAQ: DASH) in 2022. Together, we operate in more than 30 countries today, 28 of which are with the Wolt product and brand.

Wolt launched in Israel in November 2018 with 26 restaurants in Tel Aviv. Today, Wolt covers most of Israel’s population across 300+ cities and towns, from Kiryat Shmona to Eilat. Our platform offers an additional sales channel to more than 10,000 Israeli merchants and provides a flexible earnings opportunity to over 20,000 active courier partners. Our team has grown from a few people in a small office to over 1,500 employees across nationwide locations — and we’re just getting started.

As a Courier Experience Specialist at Wolt Israel, you will play a strategic role in shaping the end-to-end experience of our courier partners - from onboarding and engagement to satisfaction and retention. You will leverage data, insights, and creative thinking to build scalable programs and initiatives that ensure couriers feel valued, supported, and connected to our mission.

This is not just an operational role - it’s an opportunity to influence how Wolt designs and delivers the courier experience nationwide, and to be the professional authority for courier engagement, social media strategy, and community building. You will collaborate cross-functionally with Operations, Product, Support, and Marketing teams to continuously enhance every digital and physical touchpoint for our couriers.

Key Responsibilities

Experience & Community Startegy

• Own, design, and execute large-scale projects and initiatives that improve the overall courier journey, from app usability to well-being programs, with a measurable impact on engagement and satisfaction.
• Define and execute the social media and community strategy for our couriers. Build, scale, and manage a thriving, inclusive digital community.
• Establish and own the official "Tone of Voice" for all courier-facing communications (in-app, newsletters, social media, website), ensuring it is authentic, effective, and builds trust.
• Manage and optimize the courier website and other digital platforms, maximizing their potential as communication and engagement hubs.

Insights & Analytics

• Analyze complex data from all sources (surveys, social media sentiment, roundtables, operational data) to identify friction points and transform insights into concrete initiatives.
• Act as the "voice of the courier" to the Product team, translating qualitative feedback and data analysis into clear recommendations to influence the product roadmap.
• Track key metrics (NPS, retention, social engagement), providing regular reports and strategic recommendations to leadership.

Engagement & Operations

• Plan and execute impactful events, competitions, workshops, and recognition programs that strengthen the sense of belonging.
• Partner with the Support team to define and maintain the quality of service, ensuring new features, procedures, and communications are rolled out effectively.
• Act as a trusted representative for courier needs, serving as the subject-matter expert for the courier experience across the organization.

Qualifications

Experience:

• 4+ years of proven experience in a strategic role focused on Community Management, Social Media Management, or Customer/User Experience, ideally in a fast-paced tech or gig-economy company.
• Must have experience in building and scaling digital communities from the ground up, with a deep understanding of social media platforms and strategy.
• Demonstrated success in managing large-scale, cross-functional projects from conception to completion.
• Proven ability to use data and analytics to build business cases and influence a product roadmap.
• Experience in defining a brand's Tone of Voice and creating multi-channel communication strategies.

Skills:

• Exceptional analytical skills: The ability to dive deep into data (qualitative and quantitative), find the "so what," and translate it into measurable impact.
• Creative and strategic thinker: You don't just follow a playbook; you invent the playbook and know how to create a new language with users.
• Assertive and influential: Excellent communication skills (fluent Hebrew and English) with the ability to build consensus, present clearly to leadership, and drive change.
• Grounded and hands-on: A "roll-up-your-sleeves" mentality, passionate about "living the field," understanding the end-user, and not being afraid of hard work.

Personal Qualities:

• A natural leader and professional authority: You inspire confidence, bring new knowledge, and can "level up" the expertise of the entire team.
• Highly proactive and solution-oriented: You don't wait for problems; you identify them, propose solutions, and own the results.
• High empathy balanced with a strong, data-driven, and results-oriented mindset.

Additional Information

If you thrive in a fast-paced, high-impact environment and want to make a real difference in the lives of thousands of people across Israel, we’d love to meet you.
Join us! and help build the most trusted, empowered, and happy courier community in Israel.

Your Role:

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

So, what’s the role all about?

We are seeking a highly skilled Business Analyst for our Order Management group with deep expertise in data analysis, visualization, and quantitative research—ideally within enterprise software environments.

The ideal candidate is a clear and confident communicator, capable of translating complex information into clear insights through analysis, visualization, and system design.
Bring a proactive mindset, strong cross-functional collaboration skills, and the ability to lead data-driven initiatives from concept to execution with minimal oversight.

How will you make an impact?

• Design and implement Key Performance Indicators (KPIs) that effectively measure and align with the strategic objectives of Order Management
• Design, build, and maintain dashboards, reports, and metrics to monitor group and business performance.
• Ensure data integrity and validity across all platforms and systems.
• Analyze complex datasets to identify trends, patterns, and actionable insights.
• Collaborate with cross-functional teams (External vendors, Sales Ops, Finance) to define and support contract lifecycle management metrics.
• Translating business requirements into system specifications and managing implementation from start to finish

  Have you got what it takes?

• At least 3 years of experience as a Business/Data Analyst, ideally in SaaS, billing, or contract management
• Strong skills in Power BI or similar and advanced Excel
• Experience with enterprise software like Oracle, Salesforce, or ServiceNow
• Understanding of SaaS billing models and Order-to-Cash processes
• Clear communication skills and attention to detail
• Ability to work independently and collaborate across teams
• Fluency in English and comfort working with global stakeholders

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10773
Reporting to: Director, Order Management, Quality and Analytics
Role Type: IC

#LI-Hybrid

What Do We Do?

Triple Whale is the complete intelligence platform for ecommerce, helping brands stop guessing and start knowing what’s actually driving growth, what’s wasting money, and what to do next — with total confidence. By pulling all of a company’s data into one place, delivering measurement tools teams can actually trust, and applying the smartest AI in the industry, Triple Whale turns fragmented data into clear insights and actionable recommendations. That intelligence can then be put to work through AI agents and automations that generate creative assets, take action across marketing channels, and make every tool in their stack smarter and more effective.

More than 60,000 ecommerce brands including Pressed Juicery, OUAI, and True Classic trust Triple Whale to grow faster and drive revenue with fewer resources by uncovering opportunities and acting on them at a scale that would be impossible manually.

Why Triple Whale Needs You:

We’ve reached a strong product–market fit and are scaling rapidly — which means marketing measurement, experimentation, and optimization are becoming more complex and more critical than ever. As privacy changes, fragmented signals, and multi‑channel marketing continue to evolve, brands need sophisticated, production‑grade marketing science they can actually trust.

We’re looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.

What You’ll Do:

• Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
• Develop and deploy statistical and machine learning models to production
• Create scalable data pipelines and APIs that serve real-time analytics
• Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
• Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

What You’ll Bring:

• 4–7 years of experience in applied data science
• Ability to work from our Jerusalem office (located in the Central Bus Station next to the train) 2 times a week (Monday & Wednesday) is required
• Strong Python skills (pandas, scikit-learn, statistical libraries)
• Experience deploying models to production (not just notebooks)
• Solid statistics and machine learning fundamentals
• SQL and database experience
• Experience in building APIs or backend services
• Bachelor's or Master's in a quantitative field (Statistics, CS, Math, Machine Learning/Data Science)
• Strong English communication skills with technical and non-technical audiences
• Self-starter comfortable with ambiguity and autonomy

Bonus Points If You Bring:

• Marketing analytics background (attribution, experimentation, measurement)
• Bayesian statistics or causal inference experience
• Cloud platform knowledge (GCP, AWS, or Azure)
• Time series analysis and forecasting

Why You’ll Love This Role:

This role offers true end‑to‑end ownership from statistical design to production deployment and real customer impact. It’s not pure modeling and not pure engineering, but a blend of both, focused on solving real marketing problems at scale. You’ll work on high‑impact systems that directly shape how businesses understand performance and invest their budgets, all within a fast‑moving, product‑driven environment where your work ships quickly and matters immediately.

Our Values

• We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers.
• We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage. 
• We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together. 
• We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths.
• We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other.

Join Us in Making Waves

If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment.

Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Referred?  Got here thanks to a friend? Splash some gratitude their way!  They'll need to submit your application through our referral system to make it official.

About QuantHealth

QuantHealth is a growing AI startup in the clinical trial space, leveraging AI, biomedical data, knowledge graphs, and real-world patient data to simulate and optimize clinical trials for pharmaceutical companies. Our platform combines large-scale biomedical knowledge, clinical trial data, and patient-level data to help customers simulate clinical trials, reduce development risk and cost, shorten timelines, and improve the probability of clinical trial success.

About the Role

As a Data Scientist in the CDS R&D team, you will play a key role in researching, developing, and productionizing advanced data science solutions that power QuantHealth’s clinical simulation and prediction capabilities.

This role is designed for a strong applied data scientist who enjoys solving complex, ambiguous problems end-to-end: from data exploration and feature engineering, through model development and validation, to building scalable pipelines and AI-driven workflows. You will work closely with clinical experts, product, delivery, engineering, and other data science teams to translate challenging clinical and biomedical questions into robust data-driven solutions.

The ideal candidate brings several years of hands-on experience in applied data science, machine learning, and data pipeline development. Additional qualities we look at in candidates are scientific thinking, project ownership, and the ability to independently learn and operate in complex domains. Experience with biomedical or clinical data is a strong advantage.

This position involves working with a modern Python-based data science stack, building predictive models, developing data and ML pipelines, and contributing to the continuous improvement of QuantHealth’s clinical trial simulation product. The role requires curiosity, strong self-learning abilities, research orientation, and rigorous analytical thinking.

Responsibilities

• Design, develop, and validate data science models, algorithms, and tools that support QuantHealth’s internal and customer-facing clinical simulation products.
• Build end-to-end data science solutions, including data ingestion, feature engineering, model development, evaluation, and deployment-ready pipelines.
• Collaborate with clinical, product, delivery, engineering, and data science teams to prototype and implement data-driven solutions.
• Explore, process, and integrate diverse data sources, including clinical trial data, EHR/RWD, biomedical literature, biomedical ontologies, and knowledge graphs.
• Develop scalable ETL and data pipelines to support automated clinical simulation workflows.
• Build LLM-based and agentic systems to automate internal research, data processing, and biomedical reasoning workflows.
• Develop and improve data projects using tools such as PySpark, PyTorch, PyGeometric, MLflow, SQL, and the broader Python data stack.
• Stay current with emerging methodologies in machine learning, LLMs, knowledge graphs, biomedical AI, and applied data science.
• Contribute to internal knowledge sharing, best practices, and scientific discussions within the R&D organization.

Qualifications

• MSc or PhD in data science, computer science, computational biology, or a related quantitative field.
• 4+ years of hands-on experience in applied data science, machine learning, or algorithm development.
• Strong Python skills and practical experience with common data science and ML libraries such as pandas, NumPy, scikit-learn, PyTorch, SQL, and Spark.
• Proven experience building end-to-end data science solutions, from raw data processing to model development, evaluation, and implementation.
• Experience working with large, messy, real-world datasets and transforming them into reliable analytical or machine learning pipelines.
• Strong understanding of machine learning concepts, model evaluation, statistical analysis, and experimental design.
• Experience with cloud-based computing environments and scalable data processing pipelines.
• Strong analytical and problem-solving skills, with attention to details and scientific rigor.
• Strong research mindset and ability to independently learn new domains, methods, and technologies.
• Excellent communication skills and ability to collaborate effectively across clinical, product, engineering, and data science teams.

Strong Advantages

• Experience working with biomedical, healthcare (RWD/EHR), pharmaceutical, biomedical ontologies, or real-world patient data.
• Experience developing LLM-based workflows or agentic pipelines.
• Experience with knowledge graphs, graph embeddings, GNNs, or graph-based ML.
• Experience with PySpark, PyTorch, PyGeometric, MLflow, or similar ML engineering tools.
• Experience creating interactive data applications, dashboards, or internal tools.
• Familiarity with clinical trial design, drug development, computational/system biology, or translational medicine.

About QuantHealth

QuantHealth is a growing AI startup in the clinical trial space, leveraging AI, biomedical data, knowledge graphs, and real-world patient data to simulate and optimize clinical trials for pharmaceutical companies.

Our platform helps customers simulate clinical trials, reduce development risk and cost, shorten timelines, and improve the probability of clinical trial success.

About the Role

We are looking for a Senior Data Scientist to lead the development of QuantHealth’s internal platform for streamlining, automating, and standardizing key customer delivery workflows.

This is a hybrid role at the intersection of data science, software engineering, ML systems, and internal product development. The ideal candidate is a strong builder who can take ownership of complex workflows, understand complex real-world data and modeling processes, and turn them into reliable, reusable, scalable systems.

The internal platform will serve as a central layer for improving how customer delivery work is planned, executed, automated, and reused across projects. It will bring together key workflows, automatic agentic systems, data assets, computational processes, reusable components, and quality-control mechanisms into a more integrated and scalable operating model. The goal is to reduce manual effort, improve consistency, shorten delivery timelines, increase transparency, and create reusable institutional knowledge across projects. This role requires someone who is comfortable moving between data science, architecture, software development, data pipelines, AI-driven automation, and internal applications. It also requires collaboration with delivery, clinical, engineering, and data science teams. It is a senior individual contributor role with high ownership and broad impact.

Responsibilities

• Lead the design and development of a set of internal tools that streamline, automate, and scale the company's delivery workflows and model development lifecycle.
• Build data-science-driven systems that combine data pipelines, AI-driven automation, analytical workflows, and internal applications.
• Develop LLM-based and agentic workflows to automate complex operational and analytical processes.
• Implement validation, monitoring, and quality control mechanisms to improve reliability, reproducibility, and trust in delivery outputs.
• Design solutions that support versioning, traceability, access control, and reuse of data and analytical assets.
• Collaborate closely with delivery, clinical, data science, product, and engineering teams to translate operational challenges into scalable technical solutions.
• Own key technical design decisions and contribute to the long-term direction of the internal delivery platform.
• Improve the reliability and maintainability of existing internal tools, workflows, and automation processes.
• Create clear documentation, standards, and best practices for using and extending the system.
• Act as a senior technical contributor, providing guidance and mentorship to junior team members on data science workflows, automation design, code quality, and systems-building best practices.
  
  

Qualifications

• MSc or PhD in computer science, data science, computational biology, or a related quantitative/technical field.
• 6+ years of hands-on experience in applied data science, machine learning, data engineering, or a hybrid data science / systems-building role.
• Strong experience developing complex data science solutions, including data pipelines, automation workflows, model evaluation, and production-oriented implementation.
• Strong Python skills, with the ability to write clean, modular, reliable code for data science and automation workflows.
• Experience working with large, complex, real-world datasets and turning them into reliable data products, pipelines, or analytical workflows.
• Experience integrating data, models, APIs, or internal tools into practical end-to-end solutions.
• Experience with cloud environments, containerization, CI/CD, and production deployment workflows.
• Experience building user-facing automation tools or internal applications that collect user input, guide workflows, and translate user needs into reliable automated processes.
• Strong understanding of machine learning concepts, model evaluation, analytical validation, and experimental design.
• Ability to work with ambiguous requirements, break down complex operational and analytical workflows, and translate them into practical technical solutions.
• Strong product sense for internal tools: ability to understand users, simplify workflows, and build solutions that people actually use.
• Strong analytical and problem-solving skills, with attention to detail, reliability, and reproducibility.
• Excellent communication skills and ability to collaborate across data science, engineering, clinical, product, and delivery teams.
  
  

Strong Advantages

• Experience leading the development of internal platforms, workflow automation systems, data products, or operational tools for technical teams.
• Experience building LLM-based and agentic applications, retrieval systems, or automated reasoning workflows.
• Experience with access control, identity management, audit logs, data lineage, or regulated-data environments.
• Experience working with healthcare, clinical, biomedical, pharma, or real-world patient data.
• Experience working in a startup environment where ownership, speed, and pragmatic engineering are critical

About Us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About the position

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include:

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Prior experience working in a data-driven role

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

About us

We’re a proprietary trading firm building systematic quantitative strategies in crypto. Since 2018, we’ve been a consistent liquidity provider across major venues- helping markets become more efficient and mature, while staying comfortable operating at the frontier as market structure evolves.

Our core strategies span market-making, HFT, and statistical arbitrage. We’re a team of engineers, technologists, researchers, and traders who build end-to-end systems: robust data and research pipelines to uncover edges, and low-latency infrastructure and execution software to capture them in production. We trade at scale (~$1B in daily notional volume) in a dynamic, fast-paced, and highly competitive environment.

We’re looking for the brightest, most driven people to join us- collaborative problem-solvers who want ownership, impact, and the chance to work with a team that brings 100+ years of collective quantitative finance experience.

About The Position 

As a quantitative researcher, you will scale our strategies to new markets and pioneer new alpha-generating frameworks from the ground up. 

Key job responsibilities include: 

• Analyze large datasets to research crypto signals 
• Build, back test, and refine trading and hedging strategies across exchanges
• Monitor and analyze model performance in live trading to come up with improvement ideas
• Adapt existing strategies to new exchanges and crypto products
• Conduct research in niche market forces to improve our trading performance 

What We Look For 

We are seeking mission-driven problem solvers who possess intellectual curiosity and analytical rigor required to navigate complex, real-time problems in high-stakes trading environments.  

The ideal candidate will have: 

• Significant experience required in financial markets, cryptocurrencies, crypto assets, and decentralized finance
• Deep understanding of varying crypto market microstructure and macrostructure
• Exceptional quantitative and problem-solving skills
• Strong team player with excellent communication skills
• Ability to use advanced statistics, machine learning models to solve practical problems
• Comfortable operating in a frenetic, high-stakes environment
• Prior experience working in a data-driven role 

Benefits

• Fully paid medical and dental insurance for all employees and dependents

• Competitive 401k match and generous wellness benefits.

• Meals at work and other perks.

Location 

We prefer in-person in San Francisco.

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

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.

So, what’s the role all about?

The Director of M&A and Corporate Development will play a key role in generating, managing and executing on mergers, acquisitions and select strategic deals.
This position will report to NiCE VP, Head of M&A

How will you make an impact? 

• Partner with executive management and key stakeholders from different business units to craft, set and drive NiCE M&A priorities and thinking.
• Lead engagement with companies across a broad range of eco-systems, markets and geographies  
• Identify, engage and create pipeline of non-organic growth opportunities and projects
• Manage the entire M&A process, from the first approach till deal completion, including: deal structuring, financial analysis, due diligence, modeling, valuation, legal documentation, and PMI planning
• Manage and work with cross-function and cross-discipline teams (internal and external) including product and technology, operations, legal, sales, finance and others

Have you got what it takes?

• Top university graduate in a relevant discipline
• 7+ years’ 'hands on' experience in M&A, corporate development, or investments (preferably in technology sectors)
• Demonstrated ability to think strategically and creatively while applying sound business judgment and strong quantitative analysis skills
• Strong interpersonal skills with ability to build and maintain a network of relationships which facilitate deal flow
• Proactive, self-starter who can excel in a fast-paced, highly demanding and fluid and uncertain environment
• Excellent oral and written skills to communicate complex issues and influence others internally and externally

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10664
Reporting to: Vice President, Head of M&A
Role Type: Director

#LI-LP1

#LI-Hybrid

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 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.

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 LightForce Orthodontics

LightForce is leading the digital transformation of orthodontics and redefining the standard of care for patients. Our fully digital, 3D-printed orthodontic platform increases practice efficiency, improves clinical consistency, and enables more predictable treatment outcomes.Unlike traditional stock brackets, LightForce delivers fully customized, patient-specific brackets paired with AI-driven treatment planning—optimizing outcomes at scale. With recent advancements unlocking the next phase of digital orthodontics, LightForce continues to push the boundaries of what’s possible in personalized care. Learn more at www.lf.co

Description

LightForce Orthodontics is seeking a talented Software Engineer to join our Operations-facing software development teams, who is passionate about designing and implementing elegant solutions to complex issues in the Digital & Physical Manufacturing spaces. As a Software Engineer, you will join our rapidly expanding team to design, implement, test and maintain features critical to the success of our manufacturing automation and technician facing web application. You will work closely with Product Management, key stakeholders and a small scrum team to help scale our rapidly growing product.

LightForce Orthodontics hires committed, self-motivated employees and then gives them the freedom and flexibility to do great work. You should feel comfortable with learning new technologies, proposing solutions to issues, and breaking down project plans into actionable steps within a development team. You will help to grow a fantastic, industry-changing tech company, to advance the orthodontic profession, and to provide positive health benefits to patients.

Essential Duties and Responsibilities

• Full-stack software development
• Implement new features, fix bugs, and participate in all scrum ceremonies
• Collaborate with other developers via code reviews and discussions
• Drive technical projects in an innovative and fast-paced environment

Education and Experience

• BS in Computer Science, Software Engineering, or a related quantitative field
• 5+ years of experience developing and debugging with languages/frameworks such as Typescript, Node.js, Express.js
• Experience architecting, developing and maintaining a SaaS based infrastructure in AWS (Lambda, Step Functions, API Gateway, RDS, ECS/EC2)
• Experience with PostgreSQL or similar database technologies

Required Qualifications

• Conscientious team member and independent worker
• Experienced working within a scrum/agile organization
• Effectively communicates inside and outside of engineering

Preferred Qualifications

• Experience with infrastructure as code (Serverless, Terraform)
• Experience with 3D technologies (Three.js), manufacturing automation, or medical device software.
• Angular knowledge 

Physical Demands

• Requires the ability to use hands, and reach with hands and arms
• Requires the ability to see, listen, and speak

Work Environment

• Work is generally performed in an open office, sedentary position.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

LightForce Orthodontics is an Equal Opportunity/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, gender, age, national origin, disability, Protected Veteran status, sexual orientation, or any other characteristic protected by federal, state, or local law.

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.

About MyHeritage

MyHeritage is a global leader in family history and consumer DNA testing, enriching the lives of millions 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.

Position Overview

We are looking for a Director of Science to guide MyHeritage’s scientific research and development in genetics. This role is central to building innovative algorithms, driving rigorous data analysis, and advancing the scientific methodologies that power our DNA products - including ethnicity estimation, relationship inference, local ancestry, and more. 

The ideal candidate combines deep scientific expertise in population and statistical genetics with strong leadership and a proven ability to execute in a dynamic, consumer-facing environment.

Your work will directly impact millions of users worldwide, helping them discover their ancestry and connect with family through science. You’ll apply cutting-edge methods to analyze millions of DNA samples and family trees, leveraging one of the largest consumer genetics datasets in the world.

Key Responsibilities

• Scientific leadership: Define and execute the scientific roadmap aligned with company goals.
• Team leadership: Manage and mentor a team of senior scientists and data scientists. Provide technical direction, support professional growth, and foster a culture of scientific excellence.
• Algorithmic research: Lead the design, development and optimization of scalable, production-ready algorithms and pipelines including ancestry inference, relationship classifiers, imputation and phasing of genetic data and additional models to support genetic genealogy.
• Collaboration and communication: 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.

The ideal candidate will have:

• Strong, hands-on experience in human population genetics and analysis of genotyping and/or sequencing data is essential. We are specifically looking for candidates with a demonstrated track record in this domain.
• Ph.D. in Genetics, Computational Biology, Bioinformatics, or a related quantitative field.
• Experience with population genetics and analysis of genotyping or sequencing data. 
• 5+ years of experience in scientific research, including 3+ years in a leadership role.
• Strong background in:
  1. Analysis of genotyping or sequencing data
  2. Genomic data pipelines and bioinformatics tools.
  3. Machine learning or statistical modeling applied to biological data
• Experience working with large-scale genomic datasets.
• Proficiency in Python and familiarity with production-scale computational pipelines. Familiarity with tools such as Snakemake, Airflow, or other pipeline managers is an advantage.
• Excellent written and verbal communication skills.
• Demonstrated ability to lead projects and collaborate effectively across disciplines.
• Experience with AWS is an advantage.

Why Join Us?

• Join a purpose-driven company helping people discover their heritage through the power of science.
• Be part of a collaborative, international team driven by innovation and scientific discovery.
• Enjoy a hybrid work environment with flexibility and autonomy.

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

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.​​​​​​​​​​​​​​​​

Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We’re actively looking for a hands-on Senior Data Scientist to focus on building ML models for scalable consumer-based services (or non-consumer services that require highly scalable ML models for predictions and classifications).

As a Senior Data Scientist, you’ll report to the Data Science Manager and work closely with both our Data Science and Engineering teams. You will play a crucial role in developing models for complex parts of our business. You will analyze large datasets, identify patterns, and develop a variety of model types. You’ll also contribute to the improvement and re-design of our current models. You will collaborate closely with cross-functional teams to translate insights into actionable solutions. This is a hands-on position where you will apply your expertise in statistical modeling, machine learning, and data mining techniques.

This role is ideally based in Israel, but strong candidates from the U.S. will also be considered.

Our Mission: 

Nift’s mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful "thank-you" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded.

We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. Now, we’re scaling to become one of the largest sources for new customer acquisition worldwide. Backed by investors who supported Fitbit, Warby Parker, and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale. Read more about our growth here.

What you will do:

• Data Analysis and Exploration: You will need to explore and analyze large volumes of data to gain insights and identify patterns relevant to your modeling objectives. This involves data cleaning, preprocessing, and transforming data into a suitable format for modeling
• Model Development: You will design and develop models using statistical and machine-learning techniques. This includes selecting appropriate algorithms, feature engineering, model training, and evaluation
• Data Preparation: You will be responsible for preparing the data required for modeling, including gathering and integrating data from various sources, ensuring data quality and consistency, and defining appropriate features and variables
• Model Evaluation and Testing: You will assess the performance and accuracy of the models using appropriate evaluation metrics. This includes conducting experiments, cross-validation, and measuring the effectiveness of recommendations
• Optimization and Tuning: You will fine-tune models to optimize their performance, improve accuracy, reduce bias or overfitting, and enhance the efficiency of the algorithms. provide actionable recommendations
• Analyze large datasets to identify patterns, trends, and insights that can be leveraged to improve business performance
• Design, build and evaluate systems to personalize consumer experience and drive customer engagement
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
• Conduct rigorous testing and validation of models to ensure their accuracy, robustness, and reliability
• Monitor model performance, identify areas of improvement, and continuously refine models based on new data and evolving business needs
• Stay up-to-date with the latest advancements in data science, machine learning, and recommendation system technologies, and apply them to solve business challenges 

What You Need:

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Economics, Physics, or a related discipline
• 5+ years of experience working in a professional setting deploying models
• Strong experience in building and deploying into production predictive models and recommendation systems using statistical modeling, machine learning, and data mining techniques
• Proficiency in Machine Learning: You should have a deep experience with various machine learning techniques, such as regression, classification, clustering, dimensionality reduction, and ensemble methods. Familiarity with popular algorithms like decision trees, random forests, Boosted trees, and regularized regression.
• Experience with match-propensity models, embeddings based models, cold-start handling, calibration/post-processing, integrating models into ad-tech workflows and business logic, measuring model performance within ad-tech systems.
• Strong Background in Statistics and Mathematics: A solid foundation in statistical concepts, linear algebra, calculus, and probability theory is essential for understanding the principles behind machine learning algorithms and recommendation systems
• Proficiency in programming languages such as Python or R, along with experience in data manipulation and analysis using libraries like NumPy, Pandas, or SciPy
• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
• Experience in ad-tech is a must, media/advertising platforms, demand-side platforms and supply-side platforms in digital advertising or retail-media networks
• Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus
• Problem-solving skills and the ability to think critically to develop innovative solutions
• Excellent communication and collaboration skills to effectively work with cross-functional teams and present complex findings

What you get: 

• Competitive compensation, flexible remote work
• Unlimited Responsible PTO
• Great opportunity to join a growing, cash-flow-positive company while having a direct impact on Nift's revenue, growth, scale, and future success

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