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Sr. Tech AI/ML Product Manager - Job Hunt Engine

4 hours, 3 minutes ago
Germany
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Machine Learning NLP
Apply Now

JobHire.AI

An AI-powered job search and job application automation platform that helps users upload a resume, match to jobs, auto-generate resumes, cover letters, and emails, and auto-apply to roles to reduce manual work and help people get hired faster.

Software Development
11-50
View All Jobs 40

Description

  • Define the vision, strategy, and roadmap for AI/ML product features for the JobHunt Engine.
  • Own the full product lifecycle from hypothesis to scaled impact, with accountability for business outcomes.
  • Translate business problems into ML hypotheses and solution approaches.
  • Partner with ML engineers and data scientists to define data requirements, evaluation frameworks, monitoring, and delivery processes.
  • Design and run rapid validation cycles using methods such as A/B tests, shadow models, and phased rollouts.
  • Make data-driven go/no-go decisions under uncertainty using limited data or infrastructure.
  • Break down complex, ambiguous problems into simple and effective solutions.
  • Collaborate with engineering, data science, and business stakeholders to align on goals, trade-offs, and progress.
  • Work on improving job supply coverage, matching logic, job relevance, and resume enhancement capabilities.
  • Improve core business metrics such as job placement success, matching quality, and application-to-offer conversion.

Requirements

  • 5+ years of experience as a Product Manager, preferably in a data-intensive or ML-driven domain.
  • Strong understanding of ML and LLM fundamentals, including NLP and recommendation systems.
  • Hands-on experience building and scaling AI-powered features such as matching, ranking, and personalization.
  • Practical knowledge of evaluation frameworks, RAG, agents, and model monitoring.
  • Ability to define data pipelines, metrics, and workflows with ML engineering teams.
  • Proven ability to test product and ML hypotheses using statistical methods such as A/B testing, significance testing, and confidence intervals.
  • Ability to reason about probability, causality, and data limitations when making decisions.
  • Entrepreneurial, hands-on mindset with the ability to build quick prototypes without over-engineering.
  • Comfort working through ambiguity, noisy data, and contradictory model results.
  • Fluent in English and Russian.
  • Nice to have: hands-on experience as a Data Scientist, Data Analyst, or ML Engineer.
  • HRTech experience is a strong plus.

Benefits

  • Competitive compensation of $80,000-$120,000 plus equity.
  • Remote work with a focus on work/life balance.
  • 38 days off, including vacation, local holidays, and sick leave.
  • Opportunity to build a high-impact AI product shaping the future of HR tech and careers.
  • Work with a strong team of experienced hires from companies such as McKinsey, Nexters, Gett, and Glovo.
  • Mission-driven, profitable, and fast-growing global company.

Interested in this position?

Apply directly on the company website

Apply Now

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