Senior Data Scientist, Core Product (AI)

TL;DR

Senior Data Scientist, Core Product (AI): Own measurement, insight, and impact across the hirify.global Assistant with an accent on defining KPIs, improving logging, and scaling analytics access. Focus on shaping product roadmaps with quantitative frameworks and rigorous assessments of product-market fit, working on AI products deployed at scale inside real organizations.

Location: This role is hybrid (4 days a week in one of our Bay Area offices)

Salary: $175,000 - $240,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.

Company

hirify.global is the Work AI platform that helps everyone work smarter with AI, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform.

What you will do

• Define KPIs, pipelines, and dashboards to enable data-driven decision-making for the team.
• Develop data models and self-serve tools to scale analytics access for cross-functional partners.
• Identify what's working, what isn't, and why to influence product roadmaps with quantitative frameworks.
• Measure value when AI is doing half the work, redefining user engagement for an AI-first product.
• Lead logging improvements that turn nascent telemetry into a reliable foundation for decision-making.

Requirements

• 6+ years of experience in a quantitative data science role (3+ years with a PhD) in Statistics, Mathematics, Computer Science, or a related field.
• Strong SQL and Python skills; comfortable with modern data stacks (dbt, analytics engineering pipelines).
• Fluent in AI tools as part of your everyday workflow.
• Product and business mindset — you know how to define KPIs, set guardrails, and build dashboards that actually drive decisions.
• Solid statistics foundation, including experimentation and causal inference.
• Proven ability to work with messy, early-stage data and turn it into clear, actionable insights.
• Clear communicator across technical and non-technical audiences.
• B2B SaaS experience, ideally in enterprise AI.

Nice to have

• You are excited about improving internal tooling/processes in Data Science teams to make others more productive, e.g. improve AI adoption, improve A/B testing tooling etc.

Culture & Benefits

• Comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage.
• Generous time-off policy and the opportunity to contribute to your 401k plan.
• Home office improvement stipend, as well as an annual education and wellness stipends.
• Vibrant company culture through regular events, and provide healthy lunches daily.
• Committed to an inclusive and diverse company.

Hiring process

• Complete a brief AI-focused exercise or discussion to understand how you think about, design, and use AI to drive impact in your role.