Senior Product Manager at BenchSci

Toronto, Ontario, Canada

BenchSci Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Pharmaceutical, HealthcareIndustries

Requirements

  • 3+ years, preferably 7+ years, as a Product Manager, with increasing responsibility on scientific data products (preferred experience at a biopharma company or in close collaboration with a biopharma partner)
  • Familiarity with graph and structured data, preferably in scientific or health-care data
  • Strong interest in science, particularly in biology
  • Proven experience in productizing API offerings (strong preference for experience with MCP offerings, agentic architectures, and driving external programs such as partnerships, beta testing, developer community, or partner integrations)
  • Proven track record in bringing clarity to a complex domain and driving agreements between technical teams and the business (excellent facilitator)
  • Successfully taken new features from conception through launch to adoption, engagement, and retention
  • Experience influencing cross-functional teams to achieve outcomes over outputs
  • Experience in enterprise client-facing roles is ideal
  • Data-informed decision-making process with the ability to identify new opportunities and provide sound reasoning for strategy decisions from that data

Responsibilities

  • Develop strategy and roadmap for your team, including influencing programmatic access offerings such as API and/or MCP endpoints for scientific data access
  • Translate business objectives into user, API/MCP, technical, and data requirements and related resources
  • Partner with team members across the Platform Stream, including senior leaders in Science, Product, Engineering, and representatives from Go-To-Market, to drive successful execution and adoption of complex solutions
  • Measure and report essential metrics to internal stakeholders to demonstrate the value created by the team

Skills

Key technologies and capabilities for this role

Product ManagementAPIMCPGraph DataStructured DataScientific DataBiologyRoadmappingStakeholder ManagementMetrics ReportingAgentic ArchitecturesDeveloper CommunityPartner Integrations

Questions & Answers

Common questions about this position

What is the work arrangement for this position?

This is a full-time hybrid role requiring 2 days per week in the office.

What compensation and benefits are offered?

The role includes a great compensation package with BenchSci equity options, comprehensive health and dental benefits, generous parental leave, robust vacation policy with additional days each year, company closures, flex time, annual learning budget, home office setup budget, and lifestyle spending account.

What skills and experience are required for this Senior Product Manager role?

Candidates need 3+ years (preferably 7+) as a Product Manager on scientific data products, familiarity with graph and structured data in scientific or healthcare contexts, proven experience productizing API offerings (MCP preferred), strong interest in biology, and a track record of influencing cross-functional teams and data-informed decision-making.

What is the team structure and reporting for this role?

This highly collaborative position reports to the Lead Product Manager and partners with teams across Product, Science, Engineering, ML, and Go-To-Market, sitting at the interface of these areas within the growing Product Management team.

What makes a strong candidate for this position?

A strong candidate has 7+ years as a Product Manager at a biopharma company or in close collaboration with biopharma partners, experience with MCP offerings and agentic architectures, and a proven track record of launching features to adoption while facilitating cross-functional agreements in complex scientific data domains.

BenchSci

AI-driven platform for preclinical research

About BenchSci

BenchSci operates in the biotechnology sector, specializing in preclinical research and development. The company uses artificial intelligence and machine learning to create a detailed map of disease biology, which helps scientists understand existing research and improve their R&D efficiency. Its main product, ASCEND, is a platform that extracts evidence from various data sources to assist scientists in hypothesis generation and risk identification. BenchSci aims to enhance research capabilities and reduce risks in preclinical studies.

Toronto, CanadaHeadquarters
2015Year Founded
$156.6MTotal Funding
SERIES_DCompany Stage
AI & Machine Learning, BiotechnologyIndustries
201-500Employees

Benefits

Remote-first culture
Equity options
15 days vacation + additional day every year
Unlimited flex time
Comprehensive health & dental benefits
Psychotherapist services
Annual Learning & Development budget
Home office set-up budget
Wellness, lifestyle & productivity spending account

Risks

17% workforce reduction may impact morale and innovation at BenchSci.
Heavy reliance on external funding poses financial risks if future rounds falter.
Rapid team expansion could lead to integration challenges and inefficiencies.

Differentiation

BenchSci's ASCEND platform uses AI to map disease biology for drug discovery.
ASCEND helps scientists identify risks and generate hypotheses in preclinical R&D.
BenchSci's AI Reagent Selector improves reagent selection efficiency in drug development.

Upsides

$95M Series D funding boosts BenchSci's AI platform development and market reach.
Generative AI integration enhances ASCEND's predictive capabilities for hypothesis generation.
Recognition as a Best Workplace for Inclusion attracts top talent and fosters innovation.

Land your dream remote job 3x faster with AI