Senior Product Manager at BenchSci

Toronto, Ontario, Canada

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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

Product Management

API

MCP

Graph Data

Structured Data

Scientific Data

Biology

Roadmapping

Stakeholder Management

Metrics Reporting

Agentic Architectures

Developer Community

Partner Integrations

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.

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