GoAIMLNLPLLMRAGGlueLeadershipA/B TestingCommunicationCritical ThinkingProblem SolvingRemote Work
About this role
Role Overview
Strategy & Ownership: 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.
ML Product Leadership: 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.
Hypothesis Validation & Experimentation: 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. Be scrappy and effective with limited data or infrastructure.
Structured Problem Solving: Apply critical thinking to decompose complex, ambiguous problems. Cut through noise, prioritize what truly matters, and build simple, effective solutions first.
Cross-Functional Execution: Collaborate closely with Engineering, Data Science, and business teams. Communicate complex ML concepts clearly and align stakeholders on goals, trade-offs, and progress.
Requirements
Technical & ML Expertise:
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.
Product Development:
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.
Mindset & Approach:
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.
Communication: Fluent English and Russian. Excellent ability to communicate with technical (Engineers, Data Scientists) and non-technical stakeholders.
Benefits
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.