Technical Product Owners in Berlin

Workflow-automation SaaS for operations teams (Berlin, 120 people); full-time freelance engagement reporting to the CEO: an initial 12-month interim mandate, extended twice through the AI build-out; owned product for one squad and coached the other product managers on process.

• Led generative AI (LLM) integration into the core product: from LLM-powered steps to natural-language workflow authoring and step-level automation suggestions, plus AI-managed dynamic workflows, shipped behind eval gates with human-in-the-loop fallbacks: AI-drafted workflows grew to 31% of all new workflows, and median time-to-first-workflow fell from 3 days to 4 hours.
• Packaged the AI capabilities as a usage-based add-on priced on executed automation steps, working with sales and marketing on positioning: ~€800K added ARR in the first year, and adopting accounts churned 1.8 pp less.
• Owned the roadmap end to end: replaced feature-request-driven quarterly planning with an outcome-based rolling roadmap built on quarterly bets and explicit kill criteria, presented monthly to the executive team and quarterly to the board.
• Rebuilt the product-management operating system: weekly customer-discovery cadence incl. workshop facilitation, RFC/decision-doc reviews and a single quarterly metrics narrative; coached four product managers, one promoted to senior during the engagement.
• Closed the engagement as scoped: hired and onboarded the permanent VP Product, handed over the process playbook and roadmap, and exited on schedule in June 2026.

• Led the redesign of an iOS and Android B2B SaaS solution.
• Developed the product vision and strategy and designed the platform architecture.
• Worked closely with cross-functional teams to create a user-centered, forward-looking product.
• Identified market trends and analyzed feedback from stakeholders and customers.
• Developed a well-thought-out feature set.
• Led the product design and development process.
• Created Balsamiq wireframes.
• Conducted comprehensive market and competitor analysis.
• Defined the product roadmap and feature scope, managed and prioritized the backlog.
• Crafted and wrote epics and user stories.
• Briefed UI designers and reviewed and approved Figma layouts.

• Own strategy and roadmap for the payment orchestration and risk intelligence products serving enterprise subscription customers.
• Conduct deep workflow discovery and user interviews to redesign onboarding experience, resulting in 5× funnel throughput and 70% reduction in manual steps.
• Define PRDs for scalable data pipelines, fraud signals, and automation logic, improving insight accuracy and speed of decision-making by 30%.
• Partner with engineering, data, design, and security to ship 15+ enterprise features with 100% successful release quality.
• Introduce risk analytics dashboards and performance KPIs, reducing investigation time by 40% and improving visibility across teams.
• Lead prioritization of new capabilities, tech debt, and security initiatives (PCI DSS, access controls, auditability).
• Lead development of ML-based fraud detection models (regression, decision trees) to identify high-risk transactions, reducing chargebacks by 20%.
• Design end-to-end analytics dashboards (Tableau, Redshift) to visualise global risk exposure, cutting onboarding SLA from 2.4 days to 3 minutes.
• Partner with engineering and data teams to deploy scalable payment risk frameworks, enhancing compliance visibility and decision speed.
• Mentor analysts and data scientists through agile sprint cycles, embedding a data-driven culture across risk operations.

• Worked with multiple clients on short- and mid-term engagements, leading the delivery of data-driven SaaS and analytics solutions.
• Coached and supported cross-functional teams with a strong focus on execution, working closely with senior and C-level stakeholders through regular alignment and decision-making.
• Focused on automating data workflows, integrating backend systems, and turning technical requirements into scalable product outcomes.
• Led delivery of automated data capabilities across client platforms, streamlining customer data integration and reducing manual processing by up to 60% within 6 months.
• Translated and aligned technical and business requirements for Shipzero into prioritized user stories, accelerating delivery and enabling ~€450K in annualized cost savings.

• Owned the product roadmap for platform and transaction-related capabilities in a large-scale fintech ecosystem.
• Led cross-functional teams (Android, backend, QA, operations) through sprint planning, reviews, retrospectives, and releases.
• Translated complex financial and operational business logic into clear epics, user stories, and technically sound acceptance criteria.
• Worked closely with Android engineers to deliver and scale applications across multiple device types and hardware constraints.
• Managed dependencies between mobile apps, backend services, and third-party systems to ensure reliable end-to-end flows.
• Acted as primary interface to senior stakeholders, aligning product priorities with business objectives and regulatory requirements.
• Proactively resolved delivery blockers and ensured predictable release cycles in a fast-paced environment.

• Owned product delivery for document automation and workflow platform used across multiple legal jurisdictions
• Led integration across 6+ systems using API-based data exchange and structured data mapping
• Partnered with engineering on data models, document generation workflows, and system orchestration
• Evaluated LLM-assisted document automation opportunities to reduce manual drafting
• Built functional prototypes to validate workflow and product concepts
• ~2x increase in case processing throughput
• Enabled multi-state rollout of platform capabilities
• Reduced manual document generation and operational bottlenecks by 80%