Define the vision, strategy, and roadmap for AI/ML product features (JobHunt Engine).
Take full ownership of the product lifecycle from hypothesis to scaled impact, focusing on business results, not just model performance.
Translate business problems into ML hypotheses and solutions.
Work side-by-side with ML engineers and data scientists to define data requirements, evaluation frameworks (evals, RAG, agents), model monitoring, and delivery processes.
Design and execute rapid, pragmatic validation cycles.
Formulate clear hypotheses (Problem → Mechanism → Impact → Metric), choose the right validation method (A/B test, shadow model, phased rollout), and make data-driven go/no-go decisions under uncertainty.
Apply critical thinking to decompose complex, ambiguous problems. Cut through noise, prioritize what truly matters, and build simple, effective solutions first.
Collaborate closely with Engineering, Data Science, and business teams. Communicate complex ML concepts clearly and align stakeholders on goals, trade-offs, and progress.

Strong understanding of ML/LLM fundamentals (NLP, recommendation systems, etc.).
Hands-on experience building and scaling AI-powered features (matching, ranking, personalization).
Practical knowledge of modern AI/ML concepts: evaluation frameworks, RAG, agents, model monitoring.
Ability to define data pipelines, metrics, and work processes with ML engineering teams.
Nice to have: hands-on experience in a Data Science, Data Analyst, or ML Engineer role.
5+ years of experience in a Product Manager role, preferably in a data-intensive or ML-driven domain (HRTech experience is a strong plus).
Proven ability to formulate and rigorously test product/ML hypotheses using statistical methods (A/B testing, significance, confidence intervals).
Ability to reason about probability, causality, and data limitations to make informed decisions.
Entrepreneurial & Hands-on: "Let's build it" attitude. Able to create quick prototypes and test ideas without over-engineering. Comfortable with "building with sticks and glue" to learn fast.
Outcome-Oriented: Owns the business result, not just the AI model. Pragmatic and willing to simplify or kill features that don't drive impact.
Thrives in Ambiguity: Can navigate uncertainty, contradictory model results, and noisy data. Structured thinker who can bring clarity to complex situations.
Fluent English and Russian. Excellent ability to communicate with technical (Engineers, Data Scientists) and non-technical stakeholders.

JobHire.AI is a mission-driven, fastest-growing, and profitable global company.
Amazing opportunity to build Job Hunt Engine, shaping the future of AI HRtech, people’s careers and lives.
Brilliant team of the strongest A players from McKinsey, Nexters, Gett, Glovo.
Remote work
work/life balance.
Competitive package ($100-150k + Equity).
38 days Off (vacation + local holidays) and sick leave.

Tech Product Manager – AI/ML

Key skills