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Product Manager

Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listing for: BenchSci Analytics Inc.
Remote/Work from Home position
Listed on 2026-02-05
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110000 - 130000 CAD Yearly CAD 110000.00 130000.00 YEAR
Job Description & How to Apply Below

Join our Product Team as a Product Manager, and own the vision and roadmap for our Retrievals and Evaluations Team. This role sits at the intersection of cutting‑edge AI, science, and data, where deep empathy for researchers and internal users will help you solve critical pain points in scaling data retrieval and evaluation across our applications. It's a challenging, high‑impact, and intensely collaborative position where your work defines the future of our retrieval and evaluation capabilities.

Pay range: $110,000 – 130,000

We know compensation is an important part of choosing your next role. The range shown reflects our target hiring range, informed by market data, internal equity, and the role’s current scope. Often the mid‑range is where we tend to fall, but individual offers may vary based on experience, skills, and the role scope.

Responsibilities
  • Develop strategy and roadmap for data retrieval and evaluation, including further innovation and optimization of existing capabilities and tooling.
  • Drive execution as part of a cross‑functional team focused on this particular product including Design, Engineering, Science, Data, and Project Management.
  • Translate customer needs into user, technical, and data requirements and related resources and iterate quickly on the product.
  • Measure and report key retrieval and evaluation metrics (e.g., MRR, Recall@K, MAP@K) to internal stakeholders to demonstrate the value created by the team.
Qualifications
  • 3+ years as a Product Manager on SaaS enterprise products or platforms with technically complex solutions. Experience working on scientifically‑informed data and products, or information retrieval and evaluation systems, is preferred.
  • A strong interest in science and AI – particularly in biology.
  • A PhD in biology (or a related field) and/or experience and knowledge of Biological Sciences e.g., Molecular Biology, Bioinformatics, etc.) or equivalent, would be a very strong asset in this role.
  • A proven track record in bringing clarity to a complex domain and driving alignment between technical and data teams, and the rest of the company.
  • Successfully taken new features from conception, through launch to adoption, engagement, and retention.
  • Experience influencing cross‑functional teams to deliver outcomes over outputs.
  • Prior experience in enterprise client‑facing roles is ideal but not required. However, experience interacting directly with highly technical stakeholders is essential.
  • Strong problem‑solving skills – can deal with ambiguity, lead discovery efforts, prioritize, and drive execution on objectives, ensuring they ladder up to key strategies.
  • A data‑informed decision‑making process, and can identify new opportunities and provide sound reasoning for strategy decisions from that data.
Benefits and Perks
  • A great compensation package that includes Bench Sci equity options.
  • A robust vacation policy plus an additional vacation day every year.
  • Company closures for 14 more days throughout the year.
  • Flex time for sick days, personal days, and religious holidays.
  • Comprehensive health and dental benefits.
  • Annual learning & development budget.
  • A one‑time home office set‑up budget to use upon joining Bench Sci.
  • An annual lifestyle spending account allowance.
  • Generous parental leave benefits with a top‑up plan or paid time off options.
  • The ability to save for your retirement coupled with a company match!
About Bench Sci

Bench Sci's mission is to exponentially increase the speed and quality of life‑saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.

Backed by Generation Investment Management, TCV, Inovia, F‑Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at top pharmaceutical companies and leading academic centers.

Our Culture

Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide…

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