Founding Data Scientist (AI)

Location: Hybrid in San Francisco, United States, with Barcelona listed as another location

Company

hirify.global builds infrastructure for enterprises to create and orchestrate autonomous AI workforces across voice, email, and enterprise systems. The company originated in Y Combinator and has raised over $200M from a16z, Base10, Prysm Capital, and Eurazeo.

What you will do

• Define and track product, feature, and AI agent metrics.
• Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.
• Measure agent performance against client outcomes such as task completion, operational efficiency, response quality, and automation rates.
• Connect offline model evaluations with production performance and customer impact.
• Analyze conversations, workflows, and product usage; investigate anomalies and regressions and perform root-cause analysis.
• Build statistical models, analytical frameworks, dashboards, and self-serve tools while partnering with Engineering on instrumentation and data quality.

Requirements

• 4+ years of experience in Data Science, Product Analytics, or another highly quantitative product role.
• Strong experience with experimental design, A/B testing, statistics, causal inference, and hypothesis-driven analysis.
• Advanced proficiency in SQL and Python.
• Experience defining and operationalizing product and feature metrics.
• Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations.
• Strong product instincts, including distinguishing statistical significance from meaningful product or customer impact.
• Experience partnering closely with Product, Engineering, or Machine Learning teams.
• Strong written and verbal communication, high attention to detail, and commitment to analytical accuracy.
• Founder mindset demonstrated through ownership, independence, curiosity, and willingness to go deep.

Nice to have

• Experience with large language models, AI agents, generative AI, or other probabilistic ML products.
• Experience measuring the production impact of model, prompt, retrieval, or orchestration changes.
• Familiarity with ML evaluation systems and the relationship between offline evaluations and online metrics.
• Experience analyzing conversational, NLP, speech, or other unstructured data.
• Experience with enterprise or B2B products and with combining quantitative analysis with qualitative methods.
• Familiarity with modern analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools.
• Prior experience in a fast-growing startup or another highly ambiguous environment.

Culture & Benefits

• Hybrid work environment with ownership and autonomy over projects.
• Culture built around extreme ownership, craftsmanship, first-principles thinking, urgency with focus, and high standards.
• Friendly, genuine, and respectful collaboration.
• Healthcare, dental, and vision coverage.
• Competitive salary and equity in a high-growth startup.