Tech AI/ML Product Manager - Job Hunt Engine

Jobhire

4h•$100 - $150•Remote

About The Position

We 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.

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.
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.

Nice To Haves

hands-on experience in a Data Science, Data Analyst, or ML Engineer role.
HRTech experience is a strong plus

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.