As a Product Lead at BioRender, you will own an area of the product, leading a team to drive solutions, defining product strategy, and enhancing user experience with AI integration.
BioRender is the leading AI-powered platform for scientific communication, used by over 4 million scientists to accelerate scientific understanding and discovery. With BioRender, scientists can create, analyze, and share research—from figures and graphs to presentations and scientific stories. What began as the “Canva for science” has evolved into an essential platform that unifies scientific workflows and is trusted by the world’s largest pharma companies and top research institutions.
As a Product Lead at BioRender, you will operate with end-to-end ownership over a meaningful area of our product. This is not a roadmap-maintenance role. You will lead a small, high-impact team of engineers and designers to identify problems worth solving, define what success looks like, and drive solutions from concept through launch and iteration. Your success will be measured in the market impact you create through the product.
Our product team, including our founders, have builder mindsets. This role is well-suited for someone who has operated in high-ambiguity environments, has built products or companies from early stages, and is motivated by owning outcomes, not just shipping features.
You will own a specific product area based on your strengths, interests, and BioRender’s highest-leverage needs. You will help scale products that millions of scientists around the world rely on to communicate their breakthroughs.
What you'll be doing
- Own and evolve a product area end-to-end, from problem discovery and vision through execution, launch, measurement, and market success
- Help define and deliver features and products that our users genuinely love and rely on
- Drive the product vision, strategy, and roadmap for your area, balancing short-term wins with long-term bets
- Be accountable for outcomes: success metrics, adoption, and user impact—not just output
- Identify opportunities where AI can unlock new workflows, automation, or intelligence, and partner closely with engineering and design to bring them to life responsibly and pragmatically
- Leverage data from millions of users, alongside strong product intuition, to identify opportunities and make clear prioritization tradeoffs
- Spend meaningful time with users—talking to them, observing workflows, and validating ideas—to ensure we’re building the right things
- Lead and inspire a cross-functional team of engineers and designers through clarity, context, and decisive judgment
- Use AI tools in your own work (e.g., research synthesis, prototyping, analysis) as a force multiplier to increase speed and quality of execution
- Contribute to the evolution of BioRender’s product culture, principles, and operating practices as we scale
What you bring to the table
- 5+ years of product management experience, ideally in fast-growing SaaS environments
- Experience operating with high ownership and autonomy, including defining what to build—not just how to build it
- Founder, early-stage startup, or 0→1 experience is a strong plus (including having built products, teams, or companies)
- Demonstrated ability to lead cross-functional teams toward outcome-oriented goals and influence executive leadership
- Strong product judgment, with the ability to synthesize user insights, data, and business context into clear decisions
- Excellent written and verbal communication skills, with comfort explaining complex ideas simply
- Deep alignment with BioRender’s mission and excitement about building for scientists
- Background in life sciences is a plus but not required; curiosity about science and scientists is essential
Note: We recognize that career paths are not linear. If you bring a builder’s mindset and believe you can excel in this role—even if your background looks different—we encourage you to apply.
Similar Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads measurement and product marketing for eight enterprise AI platforms. Builds shared KPI, taxonomy, scorecard, data-quality, and value-realization frameworks; translates usage and outcome data into executive insights and investment guidance. Oversees positioning, internal launches, campaigns, enablement, adoption, and audience segmentation. Partners across product, engineering, data, communications, and business teams while building and managing teams responsible for analytics, marketing, and communications.
Top Skills:
Ai PlatformsBusiness IntelligenceDashboardsData ContractsData FabricData VisualizationEvent TaxonomyExperimentationKnowledge GraphsKpi FrameworksOkr PlatformsProduct AnalyticsTelemetry
Artificial Intelligence • Cloud • Payments • Software • Business Intelligence • Generative AI • Automation
Lead product vision, strategy, adoption, roadmap prioritization, user research, metrics, and cross-functional execution for an AI-powered B2B insurance submissions platform. Partner across design, engineering, marketing, customer experience, and operations; manage integrations with adjacent products; resolve dependencies; communicate strategy and outcomes to senior leadership; and mentor other product managers.
Top Skills:
AgileAIApplied EpicConfluenceJIRA
Cloud • Fintech • Information Technology • Machine Learning • Software
Own the strategy and roadmap for Xero’s merchant and transaction payments-risk capabilities. Build scalable systems for KYB/KYC, underwriting, fraud detection, monitoring, disputes, chargebacks, reserves, holds, payout risk, and loss management. Partner with Engineering, Data, Risk, Compliance, and Operations to translate policy into product controls, decisioning workflows, and customer experiences. Use risk and loss data to balance fraud prevention, financial exposure, conversion, friction, and operating costs across processors, payment methods, and markets.
Top Skills:
APIsData ModelsData-Driven Risk ModelsRules-Based Decisioning SystemsScoring Models
What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

.png)
