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Technical Product Owner, Discovery, Automation and Robotics (DAR)

Takeda

Company websitetakeda.com (Takeda, opens in new tab)

Base salary $177,000  to $278,080

Employer-published annual base salary, USD. Advertised base range in Boston, MA

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  • LocationBoston, MA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (2 min ago) · observed since

About this job

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, Discovery, Automation and Robotics (DAR)

Location: Cambridge, MA


Key Partners - Product Lead (Business Lead), Discovery Automation and Robotics (DAR) 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 AI-driven, automated laboratories. This role reports to the Head of Research, PharmSci and Labs DD&T. You will be day-to-day technical leader for Takeda's Discovery Automation and Robotics (DAR) 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 small 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 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 lens. 

How will you contribute:

  • 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.
  • Own and maintain the technical backlog and delivery roadmap for the DAR 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 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 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 Robotics, Automation, Systems 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. 
  • Knowledge of high throughput scientific workflows and prior hands-on automated laboratory experience (academic or industry) sufficient to understand scientific workflows, 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, 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:

$177,000.00 - $278,080.00


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 job. 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

YesIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Source: Takeda on Workday · View original posting (opens in new tab)

Pay in context

This role's base floor ($177,000) is above 80% of the 183 Product roles in Massachusetts listed on this site; 3 others list the same floor. Their median floor is $141,000; the middle half runs from $120,000 to $170,000.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 8, 2026.

This range next to 6 other live Takeda roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Takeda roles with the nearest advertised base floor
RolePublished base
Technical Product Owner, Discovery, Automation and Robotics (DAR) (this listing)$177,000 - $278,080
Global Market Access Strategy Lead, Mezagitamab$177,000 - $278,080
Global Category Lead - Discovery Research$177,000 - $278,080
Head of Analytical Data & Statistics$177,000 - $278,080
Director, GDO Trial Performance Intelligence & Strategy$177,000 - $278,080
Director, Global Regulatory Labeling Strategy$177,000 - $278,080
Lead Technical Product Owner, AI-native End Point Generation$177,000 - $278,080

Same $100K to $400K scale as every card. All Takeda roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-28
Where this pay comes from

Location as the employer wrote it: Boston, MA

$177,000.00 - $278,080.00

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.

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