Technical Product Owner, AI-native Large molecule Discovery

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Title: Technical Product Owner, AI-native Large molecule Discovery Location: Cambridge, MA Key Partners: Product Lead (Business Lead), AI-native Large molecule Discovery teams, and external partner engineering squads. This role is 100% dedicated to Takeda R&D's Labs of Tomorrow Program . About the role: As the Technical Product Owner, you will be the technical delivery counterpart to the Business Lead for Takeda's next-generation large molecule discovery AI-native software products. Where the Business Lead defines the scientific vision, customer experience, and value the product must deliver, the Technical Product Owner owns translating that vision into a buildable, sequenced, and technically sound delivery plan — and is accountable for the engineering execution, quality, and technical integrity of the product family. You will be the day-to-day technical leader for Takeda's Large molecule discovery product family, working in direct partnership with the Business Lead to convert scientific and business intent into an executable technical roadmap. You will own the backlog, architecture direction, and delivery cadence for the development squads building AI-native large molecule discovery capabilities, ensuring what gets built is technically robust, scalable, well-integrated with the broader Labs of Tomorrow ecosystem, and delivered in a way that enables the scientific and business value the Business Lead is accountable for. You will combine strong technical product ownership discipline (backlog management, sprint planning, release management, stakeholder translation) with genuine biology fluency; enough to shape the redesign of large molecule processes into AI-first workflows alongside the business, converse credibly with medicinal chemists, computational chemists, and structural biologists, and make sound technical trade-offs that respect the underlying scientific method rather than working from a purely IT lens. You will operate at the product-team leadership level, working side-by-side with the Business Lead as a single aligned leadership pair, providing day-to-day direction to engineers, data scientists, ML scientists, and technical leads, and interfacing with other Technical Product Owners across the Labs of Tomorrow portfolio to ensure architectural coherence and reuse across the suite of products. How will you contribute: Own and maintain the technical backlog and delivery roadmap for the Large molecule discovery product family, translating the Business Lead's strategic vision and prioritized capabilities into epics, user stories, and technically sequenced releases. Partner with the Business Lead as a single accountable pair, jointly owning outcomes: the Business Lead is accountable for scientific/business value and adoption; the Technical Product Owner is accountable for technical feasibility, delivery quality, timeline, and platform integrity. Work with a team of Product Owners to translate re-imagined AI-native discovery workflows into clear technical requirements, acceptance criteria, and system designs in partnership with architects, engineers, data scientists, and ML scientists. Support use case level Scrum Masters for sprint planning, backlog grooming, story writing, and release management for the development squad(s), ensuring the team has clear, well-specified, de-risked work at all times, and that individual use cases within the product family are aligned. Make and own technical trade-off decisions (build vs. buy, sequencing, technical debt vs. new capability, integration approach) within the intent and priorities set by the Business Lead and Labs of Tomorrow leadership. Ensure technical solutions are grounded in real laboratory and computational biology workflows — validating that what is built reflects how biologists, structural biologists, and computational scientists actually work, not just how requirements were documented. Own integration and architectural alignment with adjacent platforms (ELN/LIMS, compound registration, HTE, automated synthesis, assay data platforms, scientific data lakes/data models) in coordination with enterprise architecture and other product teams. Manage technical risk, dependencies, and blockers across engineering, data, ML, and infrastructure workstreams, escalating and resolving with DD&T, Computational Science, and external delivery partners as needed. Define and track engineering KPIs (velocity, quality, technical adoption/usage telemetry, system performance, reliability) that complement the Business Lead's scientific and business value metrics, feeding a shared, integrated view of product health. Collaborate with our external technology/build partners on technical scope, architecture decisions, delivery timelines, and code/solution quality. Identify opportunities where AI agents, predictive models, automation, and data platform capabilities can be technically implemented to redesign scientific workflows, and translate these into feasible, well-architected product features. Partner with other Technical Product Owners across the Labs of Tomorrow portfolio to ensure extensibility, shared components, and consistent technical standards across the product suite. What you bring to Takeda: Bachelor's or Master's degree in Biology, Computational Biology, Chemical Engineering, Computer Science, Bioinformatics, or a related technical/scientific field; 8+ years of progressively responsible experience in software product ownership, technical program management, or engineering leadership, ideally within pharmaceutical, biotech, or life sciences R&D. Biology knowledge and prior hands-on biology laboratory experience (academic or industry) sufficient to understand medicinal/computational biology workflows, laboratory processes, and the scientific reasoning behind discovery decisions, and to engage credibly with bench and computational chemists. Demonstrated experience as a Technical Product Owner, Product Manager, or similar role, owning a backlog