Analyze product usage and AI model performance to guide product strategy and growth. Build executive dashboards, semantic layers, KPI definitions, event-tracking schemas, and user journey analyses. Identify adoption gaps, measure feature and roadmap impact, evaluate AI outputs, and improve prompt engineering. Partner with Product and Technology leadership to standardize metrics, enable self-service data discovery, and translate complex findings into actionable recommendations.
HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we’ve achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over 5,500 midsize and multinational companies and over 1 Million users.
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
As part of this evolution, HiBob is investing in building an AI-first platform. The AI Unit is responsible for developing the AI layer that powers intelligence across the product, from user-facing experiences to the underlying capabilities and systems that enable them.
About the Role
We are looking for a highly analytical AI Product Analyst to join our core Product Analytics tech team. Operating at the intersection of data, Product and Tech, you will be the bridge between user behavior and model performance. You will partner with Product and Tech leadership to define KPIs, build the semantic layer for Product Agents, and iterate on AI outputs. Your insights will directly impact our strategy, drive feature adoption, shape our data infrastructure, and deliver measurable business impact.
Job requirements
Job responsibilities
Benefits
HiBob is a village filled with amazing people and we’re especially proud of that. It’s a place where Bobbers can be themselves. We’re about fun, dreams, hopes and ambition, just as much as we are about precision, growth, and top performance. Becoming a Bobber means you’ll receive competitive Total Reward offer including:
Financial & Equity Incentives 💰
Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively.
As part of this evolution, HiBob is investing in building an AI-first platform. The AI Unit is responsible for developing the AI layer that powers intelligence across the product, from user-facing experiences to the underlying capabilities and systems that enable them.
About the Role
We are looking for a highly analytical AI Product Analyst to join our core Product Analytics tech team. Operating at the intersection of data, Product and Tech, you will be the bridge between user behavior and model performance. You will partner with Product and Tech leadership to define KPIs, build the semantic layer for Product Agents, and iterate on AI outputs. Your insights will directly impact our strategy, drive feature adoption, shape our data infrastructure, and deliver measurable business impact.
Job requirements
- 3+ years of experience in product data analytics, preferably within a B2B SaaS environment.
- Advanced SQL skills and experience analyzing large-scale product usage datasets.
- Hands-on experience with LLM concepts, including basic prompt engineering, output evaluation, or experimenting with GenAI tools.
- Proven track record with BI & data visualization tools (e.g., Tableau, Streamlit) to build executive-ready dashboards.
- Strong foundation in data modeling, semantic layers, and event tracking design (defining schemas, user journeys, and funnel metrics).
- Critical Thinking in Ambiguity: Ability to challenge assumptions, identify patterns in noisy AI outputs, and turn imperfect data into sound recommendations.
- Product & Business Acumen: A strong drive to connect data insights directly to user needs, product opportunities, and bottom-line business impact.
- Ownership & Proactivity: A self-starter mentality with the ability to navigate ambiguity, ask the right questions, and drive complex analyses through to action.
- Communication & Influence: Excellent ability to translate complex data and AI concepts into clear, strategic narratives that align and influence cross-functional stakeholders.
- Practical experience with dbt, Git, and data transformation workflows.
- Familiarity with MCP (Model Context Protocol), database agents, or semantic views.
- Experience using AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) to accelerate coding and analytical speed.
- Exposure to advanced LLM workflows, fine-tuning, or structured evaluation frameworks.
Job responsibilities
- Empower Strategic Decisions: Translate complex usage data into executive-ready dashboards and actionable recommendations that align cross-functional stakeholders.
- Enable AI Data Infrastructure: Build and maintain the semantic layer for Product Agents to unlock intelligent, self-serve data discovery across the organization.
- Drive Product Growth: Analyze the user journey to proactively identify adoption gaps and friction points, accelerating feature activation, retention, and growth.
- Optimize AI & Feature Impact: Measure roadmap launches and iterate on prompt engineering and model evaluation to continuously elevate AI performance and user experience.
- Standardize Metrics & Tracking: Partner with Product leadership to define core KPIs, unify metric definitions, and establish robust event tracking.
- Accelerate Delivery Velocity: Leverage AI-assisted development tools (e.g., Cursor, Claude Code) to streamline technical workflows and increase analytical output speed.
Benefits
HiBob is a village filled with amazing people and we’re especially proud of that. It’s a place where Bobbers can be themselves. We’re about fun, dreams, hopes and ambition, just as much as we are about precision, growth, and top performance. Becoming a Bobber means you’ll receive competitive Total Reward offer including:
Financial & Equity Incentives 💰
- Equity Plan: Participation in the Company Share Options Plan
- Social Contributions and Keren Hishtalmut
- Employee Referral Program: $2,500 for each successful hire
- Wolt Benefit (meal card): ₪1,000 per month
- Private Health Insurance: Comprehensive premium medical coverage
- Sick Leave: Full payment from the first day of illness
- Wellness Benefits: Annual Headspace subscription and dedicated wellness programs
- Preventive Screening: Health screenings for employees aged 40+
- Paid Time Off: Competitive paid time off policy
- HiBaby: 3 weeks of additional fully paid bounding time for new parents
- Bob Balance Days: 4 additional company-wide "long weekend" days (one per quarter)
- Social Impact: 2 paid days per year for volunteering and social contribution
- Work from Anywhere: Temporary remote work option for up to 2 months (available after 6 months of tenure).
- Birthday Day Off: Enjoy a day off during your birthday month
- Hybrid Model: A flexible balance between office and home-based work
- Home Office Allowance: One-time stipend to ensure an ergonomic and productive home setup
- Transportation: Monthly travel allowance or parking arrangements
- Pet-Friendly: Dog-friendly office environment to support a stress-free workplace
- Social Events: Regular team-building and company-wide events, both local and global
- Professional Growth: A culture built on precision, performance, and ambitious career scaling
Similar Jobs at HiBob
HR Tech • Information Technology • Professional Services • Sales • Software
Own CX-to-Engineering operational processes, including escalations, bugs, incidents, and engineering tasks. Coordinate stakeholders, improve workflows, analyze logs and operational data, and use AI tools such as Cursor to automate processes and create proactive alerts. Maintain escalation frameworks, dashboards, templates, and documentation while supporting incident reviews, root-cause analysis, and broader CX delivery initiatives.
Top Skills:
AIAsanaCursorJIRALinearSalesforceSlackZendesk
HR Tech • Information Technology • Professional Services • Sales • Software
Shape the architectural direction of the Data Platform group across data infrastructure, data engines, and frameworks. Lead cross-team design reviews, establish reference architectures and standards, guide production delivery, and drive modernization of distributed data-intensive systems. Develop secure, scalable data access, streaming, storage, governance, observability, and AI-ready capabilities while mentoring engineers and resolving systemic technical risks.
Top Skills:
Cloud InfrastructureKafkaPostgresRedis
HR Tech • Information Technology • Professional Services • Sales • Software
Own the architecture and administration of SaaS applications, Okta identity, endpoint management, and enterprise integrations. Configure SSO, SCIM, lifecycle automation, access governance, Jamf, and JumpCloud. Build API and webhook workflows, evaluate AI-powered tools, automate IT processes, and provide Tier 2–3 escalation support. Partner with security and IT teams on compliance, device lifecycle management, documentation, and operational improvements.
Top Skills:
Ai AutomationAPIsBashGoogle Workspace ApisItsmJamf ProJumpcloudLlmsmacOSMicrosoft IntuneOktaOkta WorkflowsPowershellPythonSAMLScimSlack WorkflowsSsoWebhooksWindowsWorkato
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

