Sr. Tech AI/ML Product Manager

Expected Outcomes

First 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

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.

Our Ideal Candidate

• Thinks simultaneously about business metrics and model quality metrics.
• Has a super-engineer mindset coupled with an entrepreneurial, "get things done" approach.
• Takes responsibility for the end result, not just the AI model.
• Doesn't fall in love with technology but stays focused on solving the problem.
• Their first reaction to an idea is "Let's go build and test it."

We keep our hiring process quick and simple:

• HR Introduction Call
• Team Interviews
• Product challenge
• Reference Check (with three prior managers)

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 ($80-120k + Equity).
• 38 days Off (vacation + local holidays) and sick leave.