Senior AI/ML Product Manager – Job Hunt Engine

Role Overview

• About the RoleWe are seeking a highly analytical and hands-on Senior Tech AI/ML Product Manager with deep expertise in Machine Learning and Artificial Intelligence and Product Management.
• You will define and build a best-in-class job discovery and matching engine that connects users with the most relevant roles for them, at scale.
• You will own the strategy, discovery, and delivery of AI-powered features, focusing on matching, ranking, and personalization systems.
• The ideal candidate is an entrepreneurial thinker with an engineering mindset, capable of building rapid prototypes, making decisive calls with imperfect data, and relentlessly driving measurable outcomes.

Key Responsibilities

• 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.

Expected OutcomesFirst 3 Months

• Establish baseline measurement of job supply coverage across the U.S. market, including companies listed in the NASDAQ-100
• Increase the percentage of users who successfully find a job through the platform by 50%, driven by improvements in matching logic and job relevance

First 6 Months

• Expand job vacancy coverage in the U.S. market, achieving up to 80% coverage of NASDAQ-100 companies and increasing overall coverage by 30%
• Ship a major upgrade to the resume enhancement feature
• Increase the percentage of users who successfully found a job through our platform by 3×

12 Months

• Further expand U.S. job vacancy coverage, achieving a 50% increase in coverage of NASDAQ-100 companies compared to the 6-month baseline
• Double the matching success rate, measured as the percentage of matched vacancies approved as relevant by users
• Improve the application-to-offer conversion rate by 50%, directly impacting the core business outcome — successful employment

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.