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

2 weeks ago
Georgia
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Machine Learning NLP Prototyping
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 27

Description

  • Define the vision, strategy, and roadmap for AI/ML product features for the JobHunt Engine.
  • Own the product lifecycle from hypothesis through scaled impact, focusing on business outcomes.
  • Translate business problems into ML hypotheses and solutions for matching, ranking, and personalization.
  • Partner with ML engineers and data scientists to define data requirements, evaluation frameworks, model monitoring, and delivery processes.
  • Design and run rapid validation experiments, including A/B tests, shadow models, and phased rollouts.
  • Make data-driven go/no-go decisions under uncertainty using pragmatic experimentation.
  • Apply structured problem solving to simplify ambiguous problems and prioritize the highest-impact work.
  • Collaborate with Engineering, Data Science, and business teams to align stakeholders on goals, trade-offs, and progress.
  • Establish and improve measurement for job supply coverage, matching success, and application-to-offer conversion.
  • Drive product improvements such as resume enhancement and better job relevance through iterative delivery.

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 work processes with ML engineering teams.
  • Proven ability to formulate and test product or ML hypotheses using statistical methods such as A/B testing, significance, and confidence intervals.
  • Ability to reason about probability, causality, and data limitations to make informed decisions.
  • Fluent English and Russian.
  • Excellent communication skills with both technical and non-technical stakeholders.
  • Nice to have: hands-on experience in a Data Science, Data Analyst, or ML Engineer role.
  • HRTech experience is a strong plus.

Benefits

  • Competitive compensation package of $100-150k plus equity.
  • Remote work with work/life balance.
  • 38 days off including vacation and local holidays, plus sick leave.
  • Opportunity to build a mission-driven product shaping the future of AI HR tech.
  • Work with a strong team of talent from companies like McKinsey, Nexters, Gett, and Glovo.
  • Fast-growing, profitable global company with strong momentum.

Interested in this position?

Apply directly on the company website

Apply Now

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