Jobs at Project A

Founding Product Manager responsible for establishing the product function, conducting customer research, prioritizing the roadmap, designing experiments, writing specifications, partnering with engineering, and measuring post-release usage. The role focuses on an AI-powered public procurement platform and requires strong customer discovery, data-driven decision-making, technical communication, and German and English fluency. This is an on-site position in Hamburg with a path toward Head of Product.

Own supplier sourcing, onboarding, negotiation, and relationship management across Europe and global markets. Develop procurement strategies, negotiate significant contracts, resolve supplier issues, monitor market and performance data, identify cost savings, and improve supply-chain efficiency through automation and analytics. The role partners with Sales and Operations and is based in Berlin.

Leads post-acquisition operational integration across acquired businesses, establishing financial controls, reporting, diagnostics, and 100-day operating plans. Partners with CEOs and owner-managers to improve procurement, pricing, working capital, sales productivity, logistics, financing, ERP, and automation. Builds repeatable integration playbooks, tracks value-creation impact, and eventually leads a team managing multiple integrations. The position is based in Berlin and requires fluent German and English.

Own the Italian market’s commercial strategy, revenue, margins, pipeline, and P&L. Build scalable sales operations, improve forecasting and CRM integrity, identify growth opportunities, and partner with leadership, Product, Tech, and Revenue Operations. Recruit, coach, and manage a high-performing Italian sales team while establishing KPI and performance rhythms. The role is based in Berlin and requires deep knowledge of the Italian market, fluent Italian and English, and strong B2B sales expertise.

Own and build the company’s end-to-end data platform, including lakehouse architecture, ingestion, storage, orchestration, governance, and near-real-time processing. Develop trusted commercial and logistics datasets for finance, sales, procurement, and logistics. Establish data quality monitoring, testing, and alerting, while creating the foundation for pricing, forecasting, and AI agents. Partner with the Head of Data and help establish engineering standards for a future data team.

Own end-to-end product engineering problems from discovery through production. Build scalable backend services, AI agents, APIs, data pipelines, and React interfaces for supply-chain workflows. Collaborate with Product, monitor LLM systems, ensure data correctness and operational safeguards, make technical decisions, mentor engineers, and support hiring.

Own and scale the French market by delivering revenue targets, developing commercial strategy, improving sales operations, managing forecasting and KPIs, and partnering with Product and Tech on AI-assisted sales tools. Hire, coach, and lead the French sales team while building a high-performance culture. The role is based in Berlin and requires fluent French and English, strong commercial analysis, and experience scaling B2B sales teams.

Build and scale production-ready web platforms, systems, and MVPs for fast-growing businesses. Deliver performant frontend and backend features, advise on architecture and technology choices, create design systems, write clean testable code, and support nearshore engineering teams. The role requires adapting across technologies and projects, collaborating with product stakeholders, conducting code reviews, and improving engineering workflows.

Build data warehouses, cloud infrastructure, AI workflows, and scalable data products. Integrate data from multiple systems, enable organizational data access, assess AI use cases, and collaborate with analytics, product, and software engineering teams in an agile environment.

Own the company’s People and Talent function as its first dedicated hire. Responsibilities include full-cycle recruiting, outbound sourcing, employer branding, interview design, onboarding, compensation benchmarking, offer negotiation, People operations, and hiring-funnel analytics. The role partners closely with founders, builds scalable people processes, and focuses initially on closing GTM hires. This is an on-site position in Hamburg with a path toward Head of People.

Own outbound sales and pipeline generation through phone, email, and LinkedIn outreach. Identify target accounts, cold call decision-makers, book qualified demos, refine messaging, track conversion, and contribute to GTM playbooks. The role offers progression into SDR team leadership or Account Executive responsibilities.

Own the vision, strategy, investment priorities, and measurable outcomes for a digital product platform supporting empowered product teams. Lead and coach eight Product Managers, partner with Engineering and Design in Product Trios, drive platform adoption, prioritize shared customer needs, and align cross-functional stakeholders. The role requires continuous discovery, product analytics, experimentation, strategic portfolio decision-making, and executive-level influence in a rapidly scaling B2B mobility and payments organization.

Build scalable data warehouses, cloud infrastructure, AI workflows, and data-driven applications. Integrate data from multiple systems, ensure accessible and consistent data, evaluate AI use cases, and collaborate with analytics, product, and software engineering teams in an agile environment.

Lead the technology strategy, architecture, platform, and IT operations of a connected-fleet software company. Manage and grow a 20-person multidisciplinary technology team, develop leadership capabilities, scale the platform for approximately 10x more connected assets, modernize legacy systems, and enable AI- and data-driven products. Coordinate with group technology, product, and commercial stakeholders while owning budgets, external partners, and KPI reporting.

Build full-stack AI-native fintech features, design the agent framework and agentic workflows, own product areas, engage users, and shape the roadmap. The role partners closely with founders in an on-site Berlin team and offers a path into leadership as the company scales.

Build and own the technical infrastructure powering go-to-market operations, including enrichment pipelines, CRM workflows, dashboards, account prioritization, outbound systems, data-quality processes, and call analysis. Integrate sales tools, APIs, databases, and AI agents to create reliable systems for SDRs, AEs, and founders. Consolidate the GTM tech stack, establish trusted reporting, and identify high-impact systems to improve pipeline generation and conversion.

Run the B2B sales cycle from qualified demo through closed-won, including discovery, demos, evaluation, negotiation, forecasting, CRM management, and pipeline generation. Sell to mid-market procurement and compliance-focused buying committees, partner with founders on go-to-market improvements, and provide product and competitive insights. The role is based in Hamburg and offers progression toward full-cycle account ownership.

Own outbound sales and pipeline generation through phone, email, and LinkedIn outreach. Identify target accounts, cold call decision-makers, book qualified demos, refine messaging and objection handling, track conversion performance, and collaborate with GTM, product, and marketing teams. The role offers progression into SDR Team Lead or Account Executive responsibilities.

Own the Smart Risk Engine for a B2B mobility and payments platform. Develop statistical, machine learning, and AI models; build cloud-based end-to-end ML pipelines; manage training, calibration, backtesting, monitoring, drift detection, and explainability. Create credit-risk use cases including early-warning systems, loss databases, exposure steering, and portfolio insights. Partner with senior stakeholders, translate analytics into business recommendations, and mentor Data Scientists. German and English fluency are required.

Own and develop the Smart Risk Engine end-to-end: feature strategy, model training, calibration, backtesting, drift monitoring, and explainability. Build cloud-based data science solutions and robust MLOps pipelines. Design credit-risk use cases (early-warning, loss databases, exposure steering, portfolio insights), collaborate with stakeholders, and mentor junior data scientists to drive measurable business impact.