← All roles

Scientific Product Manager

CuspAI· Product Management
Apply on company site
Hybrid (Amsterdam, NL), Hybrid (London, UK), Hybrid (Berlin, DE), Hybrid (Cambridge, UK)Full-timePosted 3d ago

About the role

Scientific Product Manager to onboard partner labs and their experimental workflows onto the CuspAI platform, bridging scientific needs with engineering and ML implementations.

Responsibilities

  • Shape and prioritise the roadmap for how experimental data, protocols and campaigns get into the CuspAI platform, together with fellow Scientific Product Managers, the engineering lead and the wider product team.
  • Write requirements, specifications and acceptance criteria that engineers can build from, covering experiment types, instrument integrations and LIMS/ELN connections, and work with the data team on the underlying data models and provenance.
  • Contribute to decisions on what we build, what we integrate, and what we leave to partners' existing systems.
  • Lead technical discovery with the partner labs you take on: map their workflows, instruments, sample logic and data systems, and pin down the true experimental unit and the parameters that matter.
  • Own onboarding for partner labs from scoping to the first closed-loop campaign, and turn each onboarding into reusable patterns and documentation shared across the team.
  • Act as the main scientific counterpart for the partner labs, representing the product in partner meetings, workshops and conferences.
  • Work with ML researchers to design optimisation campaigns (e.g. Bayesian optimisation) that respect real experimental constraints such as throughput, noise and failed samples.
  • Define how platform-driven campaigns are validated, including benchmarks against manual or legacy workflows, success metrics and the evidence we bring to partners.

Qualifications

  • PhD in Materials Science, Chemistry, Physics, Chemical Engineering or a related experimental discipline, or equivalent experience in scientific research.
  • Hands-on experience with high-throughput or automated experimentation in industry, a national lab or research institute, or academia.
  • Proven track record of translating scientific or process needs into requirements for engineers and validating results in lab.
  • Firsthand understanding of how experimental data is produced and where it fails: metadata and provenance, instrument quirks, data quality issues, and ML-ready datasets.
  • Depth in at least one materials domain and willingness to work across others.
  • Working knowledge of Python for data handling and analysis; comfortable with APIs and data schemas.
  • Strong communicator and collaborator, comfortable working with external partner labs as well as multidisciplinary teams.

Benefits

  • A competitive salary: We value and reward impact and growth
  • Equity in CuspAI: You have a stake in the success of the company
  • Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), plus local public holidays
  • Gold Standard parental leave: 26 weeks (primary) and 12 weeks (secondary) at full pay
  • Professional development budget to stay current with industry knowledge
  • Solve meaningful problems with bleeding-edge SOTA technology
  • True interdisciplinary teamwork bridging AI research, computational chemistry, and experimental science
  • Join us in shaping the future of materials with AI; diverse and inclusive workplace
Last updated Oct 22, 2026. Interested? Apply on the company site.

About CuspAI

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress.

CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress.

AImaterials
Company profileWebsite

More open roles at CuspAI