# Data Product Lead - Fintech Engineering (m/f/n) at InPost > Open job at InPost in Warsaw, Poland. Workplace: Hybrid. Source: Poland Dev Jobs, https://poland-devjobs.com/jobs/inpost-data-product-lead-fintech-engineering-m-f-n-vyiyeyd Posted 4 November 2026. Last checked on the employer's career site: 8 November 2026. ## Facts - Company: [InPost](https://poland-devjobs.com/companies/inpost) - Location: Warsaw, Poland - Workplace: Hybrid - Employment type: Full-time - Polish: Not required - English: Business level - Skills: Databricks, LLMs, SQL - Not mentioned in the job post: salary, visa sponsorship, relocation, where you can apply from ## Job description #### Company Description **InPost Pay is building its own fintech platform from the ground up.** It’s a large-scale, international initiative where engineers will have the opportunity to shape the architecture, build core fintech components, and create solutions designed to operate at InPost’s scale. We’re building a **lean, highly effective engineering organization in Poland, with AI-native engineering at its core**. We’re looking for strong engineers who are comfortable with agentic engineering, from experienced professionals building complex systems and engineering tooling to a new generation of engineers who have embraced AI-driven development from the start of their careers. #### Job Description **The mission** Own the data products that every credit and payments decision at InPost FinTech depends on, across both BNPL and Acquiring & Payments. - **Roadmap with impact.** You own and prioritise the roadmap for feature stores, decisioning and underwriting datasets and self-serve analytics products. You sequence investment against commercial and risk impact. - **Requirements that can be built.** You translate credit, underwriting, fraud and commercial needs into clear, prioritised data-product specs and acceptance criteria that Data Engineering and ML teams can build against. - **Aligned with the platform.** You partner with the Head of Data Engineering & Analytics and the Head of ML & MLOps Engineering. Together you align the roadmap with platform capacity, feature-store architecture and delivery sequencing. - **Agent-first by default.** You set AI-first / agentic delivery as the team’s default. You shape data products where agents are first-class components of the decisioning surface, with guardrails, evals and human-in-the-loop. You lead the Data Consultants to work AI-first. - **Outcomes, not feature lists.** You define and track success metrics for the portfolio (adoption, self-serve usage, decisioning-data SLAs). You report progress and trade-offs to the Data Products & Management Director and cross-functional stakeholders. - **A team that flexes with demand.** You lead up to 3 Data Consultants, who flex against demand across both domains. You are responsible for their capacity planning. **What you will work with** The feature store, decisioning and underwriting datasets, a Databricks lakehouse platform, self-serve analytics products, and LLM-assisted and agentic tooling. You will also work with data from alternative-data providers and payment-scheme/acquirer partners. #### Qualifications **You are:** - **Someone who loves data and loves turning it into products that move money-making decisions.** - Hands-on first. You interrogate data yourself with SQL and use AI as a daily tool. - **Experienced, with 5+ years in product management for data products or data platforms,** including leading or coordinating technical and analytical teams (direct or matrixed). - **Experienced in fintech, credit, lending or payments (3+ years)**, with knowledge of BNPL origination, underwriting and transaction/acquiring flows. - Strong in **data-product strategy and roadmap ownership** for feature stores and decisioning datasets. You are fluent in point-in-time correctness, freshness, lineage and self-serve enablement. - Skilled at converting business, credit-risk and ML needs into buildable, prioritised specs. You manage stakeholders and roadmaps across multiple product lines and delivery teams. - Aware of the regulation that governs credit and payments data. - **Experienced in AI-first data-product leadership (2+ years):** agents as part of the decisioning/data-product surface, with guardrails, evals, human-in-the-loop and control of agent-loop cost and latency. - **A leader who sets AI-first ways of working** as the team’s default, including LLM-assisted analysis and agentic tooling, and holds the team to designing with agents, not around them. - **Strategic and outcome-focused. You frame data-product decisions as ROI.** - Confident translating between Data Engineering / ML and business and risk stakeholders, and influencing without direct authority across Credit & Fraud Risk, Engineering and Commercial teams. - Comfortable prioritising and re-prioritising a roadmap across two product lines under real capacity constraints. - Fluent in English (B2+). **Bonus points for:** - Feature store or ML-enabled decisioning products - Acquiring / merchant payments data, including merchant acquiring and payment-scheme data structures - ML/MLOps fundamentals, enough to partner credibly with ML & MLOps Engineering - IFRS 9 / credit provisioning data concepts - Building self-serve analytics products for commercial or risk teams - Databricks / lakehouse platform familiarity #### Additional Information **Why InPost?** - Architectural authority from day one. You set the standard. - Greenfield, high stakes. Your design decisions last for years. - A modern stack and a lean, AI-native team, with space to experiment with new technologies and bring them into production. - A collaborative, fast-moving environment where autonomy and accountability go hand in hand. - Hybrid, ideally one day a week in the Warsaw or Kraków office. - We offer a B2B Contract. ## How to apply Apply on the job page, https://poland-devjobs.com/jobs/inpost-data-product-lead-fintech-engineering-m-f-n-vyiyeyd: its Apply button opens the employer's own application page. ## More jobs from InPost - [Principal Engineer - Consumer & Merchant Experience](https://poland-devjobs.com/jobs/inpost-principal-engineer-consumer-merchant-experience-qu0vbx3): InPost, Warsaw, Poland. Remote (Poland). Posted 7 November 2026. - [Head of ML & MLOps Engineering - Fintech Engineering (f/m/n)](https://poland-devjobs.com/jobs/inpost-head-of-ml-mlops-engineering-fintech-engineering-f-m-n-p98r610): InPost, Warsaw, Poland. Remote (Poland). Posted 6 November 2026. - [Security Engineer (m/f/n)](https://poland-devjobs.com/jobs/inpost-security-engineer-m-f-n-bcdb0wo): InPost, Warsaw, Poland. Hybrid. Posted 30 October 2026. - [Data Analytics Consultant (m/f/n)](https://poland-devjobs.com/jobs/inpost-data-analytics-consultant-m-f-n-fwcjgf4): InPost, Kraków, Poland. Remote (Poland). Posted 30 October 2026. - [Technical Program Manager - Fintech Engineering (M/F/N)](https://poland-devjobs.com/jobs/inpost-technical-program-manager-fintech-engineering-m-f-n-bvqwaua): InPost, Warsaw, Poland. On-site. Posted 28 October 2026.