Senior Analytics & ML Product Manager (ML)

Location: Must be based in the EU, with daily overlap with US Eastern time.

Company

hirify.global is an all-in-one ecommerce marketing platform combining customer data, messaging, personalization, loyalty, referrals, and product recommendations for mid-market direct-to-consumer brands.

What you will do

• Own merchant-facing analytics and the semantic layer across attribution, loyalty economics, recommendation performance, funnels, and segment comparison.
• Design metrics, aggregates, partitions, and reports; prototype solutions in SQL and collaborate with engineering on production implementation.
• Define and audit A/B testing methodology, including group comparability, participant counting, sample sizes, statistical significance, power, and minimum detectable effects.
• Own the recommendation stack, including quality evaluation, degradation monitoring, debugging, and the improvement roadmap for 14 algorithms.
• Evaluate when embeddings and LLM re-ranking should augment or replace classical collaborative filtering, using honest comparisons with baseline models.
• Work directly with engineers, customer success, merchants, and product managers to turn complex analytical problems into shipped product capabilities.

Requirements

• Strong SQL skills, including window functions over large partitioned tables and SQL performance optimization.
• Solid foundations in A/B testing and statistics, including power, minimum detectable effect, selection bias, survivorship bias, and post-treatment variables.
• Ability to assess modern ML approaches such as embeddings, vector similarity, and LLM re-ranking without needing to train recommender models.
• Experience working directly with non-technical end users and translating their needs into shipped product functionality.
• Clear written communication and comfort with asynchronous work.
• Russian is the working language inside the team; English at B2+ is required.

Nice to have

• Ecommerce or martech experience.
• Previous ownership of a metric or semantic layer.
• Hands-on exposure to recommender or ranking systems.

Culture & Benefits

• AI-first workflow with extensive use of AI for SQL, Python, ML, and other tasks, combined with careful human verification.
• Direct collaboration with a team of approximately 40 people, including product managers, engineers, customer success, and the founder-CEO.
• Flat, asynchronous-first collaboration with fast decisions and minimal bureaucracy.
• Work on a founder-funded, profitable-business-oriented product serving the US market.
• Shipped work reaches real merchants within weeks.

Hiring process

• Application with CV followed by a Zoom interview with a Hire5 recruiter.
• Introductory conversation with the founder-CEO/CPO, followed by asynchronous Q&A in a shared document.
• Asynchronous test task and final discussion with the founder and another product manager.