Senior AI/ML Product Manager – Job Hunt Engine

This is a fully remote position, open to applicants in Cyprus.

📋 Description

• **About the Role** We are in search of a highly analytical and hands-on Senior Tech AI/ML Product Manager with extensive knowledge in Machine Learning and Artificial Intelligence, along with Product Management experience.

• You will be responsible for defining and constructing a top-tier job discovery and matching engine that connects users to the most suitable roles for them, on a large scale.

• You will lead the strategy, discovery, and implementation of AI-driven features, concentrating on matching, ranking, and personalization systems.

• The ideal candidate will be an entrepreneurial thinker with an engineering mindset, capable of developing rapid prototypes, making decisive choices with incomplete data, and persistently driving measurable results.

• **Key Responsibilities**

• **Strategy & Ownership:** Establish the vision, strategy, and roadmap for AI/ML product features (JobHunt Engine). Assume complete ownership of the product lifecycle from hypothesis formulation to scaled impact, focusing on business outcomes, not merely model performance.

• **ML Product Leadership:** Convert business challenges into ML hypotheses and solutions. Collaborate closely with ML engineers and data scientists to outline data requirements, evaluation frameworks (evals, RAG, agents), model monitoring, and delivery processes.

• **Hypothesis Validation & Experimentation:** Design and implement rapid, pragmatic validation cycles. Develop clear hypotheses (Problem → Mechanism → Impact → Metric), select the appropriate validation method (A/B test, shadow model, phased rollout), and make data-informed go/no-go decisions amidst uncertainty. Be resourceful and effective even with limited data or infrastructure.

• **Structured Problem Solving:** Utilize critical thinking to break down complex, ambiguous issues. Eliminate distractions, prioritize what is truly significant, and create simple, effective solutions first.

• **Cross-Functional Execution:** Work closely with Engineering, Data Science, and business teams. Convey intricate ML concepts clearly and align stakeholders on objectives, trade-offs, and progress.

• **Expected Outcomes**

• **First 3 Months**

• Establish a baseline measurement of job supply coverage across the U.S. market, including companies listed in the NASDAQ-100.

• Achieve a **50%** increase in the percentage of users successfully finding a job through the platform, driven by enhancements in matching logic and job relevance.

• **First 6 Months**

• Broaden job vacancy coverage in the U.S. market, reaching up to **80% coverage of NASDAQ-100 companies** and increasing overall coverage by **30%**.

• Deliver a significant upgrade to the resume enhancement feature.

• Increase the percentage of users successfully finding a job through our platform by 3×.

• **12 Months**

• Further enhance 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 deemed relevant by users.

• Enhance the **application-to-offer conversion rate by 50%**, directly influencing the core business outcome — successful employment.

⛳️ Requirements

• **Technical & ML Expertise:**

• Profound understanding of ML/LLM fundamentals (NLP, recommendation systems, etc.).

• Practical experience in building and scaling AI-powered features (matching, ranking, personalization).

• Familiarity with contemporary AI/ML concepts: evaluation frameworks, RAG, agents, model monitoring.

• Ability to define data pipelines, metrics, and workflows with ML engineering teams.

• Preferred: hands-on experience in a Data Science, Data Analyst, or ML Engineer position.

• **Product Development:**

• **5+ years of experience in a Product Manager role,** ideally in a data-intensive or ML-focused domain (HRTech experience is highly advantageous).

• Demonstrated ability to formulate and rigorously validate product/ML hypotheses using statistical methods (A/B testing, significance, confidence intervals).

• Capacity to reason about probability, causality, and data limitations to make well-informed decisions.

• **Mindset & Approach:**

• **Entrepreneurial & Hands-on:** A proactive "Let's build it" attitude. Capable of developing quick prototypes and testing ideas without over-engineering. Comfortable with "building with sticks and glue" to accelerate learning.

• **Outcome-Oriented:** Focused on achieving business results, not just the AI model. Pragmatic and willing to simplify or eliminate features that do not drive impact.

• **Thrives in Ambiguity:** Able to navigate uncertainty, conflicting model results, and noisy data. A structured thinker who can clarify complex situations.

• **Communication:** Fluent in English and Russian. Exceptional ability to communicate effectively with both technical (Engineers, Data Scientists) and non-technical stakeholders.

🏝️ Benefits

• JobHire.AI is a **mission-driven, rapidly growing, and profitable global company**.

• Exciting opportunity to develop the Job Hunt Engine, influencing the future of AI HRTech, people’s careers, and lives.

• A remarkable team comprising top performers from McKinsey, Nexters, Gett, and Glovo.

• Flexible remote work - promoting work/life balance.

• Competitive compensation package ($100-150k + Equity).

• 38 days off (vacation + local holidays) and sick leave.