Product Manager, Analytics & ML

Job not on LinkedIn

🔥 0 minutes ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Career Hire5

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

💼 Consulting

🎯 Recruiter

📚 Education

Consulting • Recruitment • Education

Career Hire5 is a career coaching and recruitment services platform that helps job seekers secure interviews and job offers through tailored career roadmaps, resume and LinkedIn optimization, mock interviews, and onboarding support. The company focuses on placing candidates in US-based remote roles and provides training, interview coaching, and cultural adjustment advice for those relocating internationally. Hire5 also partners with employers and claims experience hiring remotely for many US companies, combining recruitment expertise with candidate-focused career development.

📋 Description

• Own the data side of Maestra.io’s ecommerce marketing platform • Design merchant-facing metrics and reports across attribution, loyalty economics, recommendation performance, popup funnels, and segment comparison • Specify semantic-layer metrics, slices, aggregates, and partitions • Prototype reports in SQL and hand specifications to engineering • Resolve methodology issues involving cross-brand attribution, email opens, multi-currency revenue, and report discrepancies • Own A/B testing methodology across widget tests, campaign tests, and flow control groups • Audit experiments for comparable groups, participant counting, sample sizes, and statistical significance • Define statistically correct defaults for merchants • Own the recommendation stack, including quality evaluation, degradation monitoring, debugging, and improvement roadmap • Decide how embeddings and LLM re-ranking should augment or replace classical collaborative filtering • Prove ML improvements with honest evaluations against a baseline • Use SQL, Python, Metabase, Notion, and Slack in a multi-tenant lakehouse environment • Work horizontally with engineering, customer success, other product managers, merchants, and the founder-CEO • Report directly to the founder-CEO/CPO • Participate in asynchronous Q&A, a test task, and final hiring conversations

🎯 Requirements

• Strong SQL, including window functions over huge partitioned tables and SQL performance optimization • A/B testing mathematics and statistics fundamentals, including power, MDE, selection bias, survivorship bias, post-treatment variables, sample sizes, and significance • Judgment on embeddings, vector similarity, LLM re-ranking, and evaluation against baselines • Direct work with non-technical end users and ability to turn needs into shipped products • Experience from B2B product, consulting, solutions engineering, or senior customer-facing roles • Clear written thinking and ability to make methodology arguments in writing • Russian as the working language inside the team • English at B2+; fluency preferred • Based in the EU • Daily overlap with US Eastern time • Strong plus: ecommerce or martech domain experience • Strong plus: prior ownership of a metric or semantic layer • Strong plus: hands-on exposure to recommender or ranking systems

🏖️ Benefits

• Skill growth close to guaranteed • Career and compensation growth track the company’s growth • Fully remote work arrangement • Asynchronous-first work and hiring process • Daily overlap with US Eastern time • Exposure to real merchants and shipped work within weeks