Lead Technical Product Owner, AI-native End Point Generation

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Job Description

Title: Technical Product Owner AI-Native End Point Generation

Location: Cambridge MA

About the role:

As the Technical Product Owner you will be the day-to-day technical leader for Takedas AI-Native Endpoint Generation 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 an AI-native integrated family of capabilities spanning the request execution and return of experimental data generated in external laboratories and through in vivo research 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 will have technical product ownership discipline (backlog management sprint planning release management stakeholder translation) with genuine high throughput laboratory automation fluency; enough to shape the redesign of laboratory workflows into AI-first workflows alongside the business converse credibly with DAR scientists across the DMTA lifecycle and make sound technical trade-offs that respect the underlying scientific method rather than working from a purely IT 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.

This role is 100% dedicated to Takeda R&Ds AI/ML Enablement Program.

How will you contribute:

• Own and maintain the technical backlog and delivery roadmap for the DAR product family translating the Business Leads 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 workflows validating that what is built reflects how chemists 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 Leads 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:

• Bachelors or Masters degree in pharmacology biology drug metabolism and pharmacokinetics biomedical or veterinary science computer science 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.

• Strong knowledge of discovery-stage experimental data generation ideally including one or more of in vitro and in vivo pharmacology drug metabolism and pharmacokinetics translational and safety assessment assay operations externalized research delivery and/or the management of contract research organizations sufficient to understand scientificworkflows laboratory processes and the scientific reasoning behind discovery decisions and to engage credibly with bench and computational scientists.

• Demonstrated experience as a Technical Product Owner Product Manager or similar role owning a backlog and technical roadmap for a software product or platform end to end.

• Strong grounding in Agile/Scrum delivery: backlog management story writing and acceptance criteria sprint planning release management and cross-functional ceremonies.

• Hands-on technical background (prior coding data engineering or scientific computing experience) sufficient to engage credibly with software engineers computational scientists data scientists and ML scientists on design and trade-off discussions.

• Working knowledge of modern software architecture cloud platforms data platforms and AI/ML system design principles as applied to scientific software.

• Experience translating ambiguous scientific or business requirements into clear buildable technical specifications.

• Strong stakeholder management skills with the ability to partner effectively with a Business Lead as a joint leadership pair and to manage technical stakeholders across engineering data science and infrastructure teams.

• Experience directing external technology/development partners holding them accountable to technical scope timeline and quality.

• Strong communication skills able to translate between scientific stakeholders business leadership and technical delivery teams.

• Ability to operate effectively in a complex matrixed environment influencing without direct authority.

Preferred:

• Experience with scientific software platforms such as ELN/LIMS compound registration systems high-throughput experimentation (HTE) platforms automated synthesis systems invivo study management or assay data platforms.

• Exposure to cheminformatics tools molecular data standards (e.g. SMILES SDF InChI) scientific data models or AI-ready scientific data practices.

• Experience with AI/ML-enabled discovery applications including predictive modeling generative chemistry or agentic AI workflows.

• Prior experience working in a laboratory automation or digital lab environment.

• Relevant certifications in Agile/Scrum product ownership (e.g. CSPO SAFe POPM).

Takeda Compensation and Benefits Summary

We understand compensation is an important factor as you consider the next step in your career. We are committed to equitable pay for all employees and we strive to be more transparent with our pay practices.

For Location:

Boston MA

U.S. Base Salary Range:

$177000.00 - $278080.00

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors including the qualifications of the individual applicant for the position years of relevant experience specific and unique skills level of education attained certifications or other professional licenses held and the location in which the applicant lives and/or from which they will be performing the actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

For information about our benefits please click here .

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race color religion sex sexual orientation gender identity gender expression parental status national origin age disability citizenship status genetic information or characteristics marital status status as a Vietnam era veteran special disabled veteran or other protected veteran in accordance with applicable federal state and local laws and any other characteristic protected by law.

Locations

Boston MA

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time

Job Exempt

Yes

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