
10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
💊 Pharmaceuticals
Healthcare Insurance • Biotechnology • Pharmaceuticals
Thermo Fisher Scientific is a leading global supplier of scientific instrumentation, reagents and consumables, and software services. They support the life sciences, healthcare, and analytical chemistry sectors by providing robust solutions for laboratory research and production processes. Their innovative products and services encompass a range of applications, including diagnostics, lab workflow automation, and drug discovery.
🕒 2 days ago
🏄 California – Remote
💵 $160k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
✅ Product Manager
🦅 H1B Visa Sponsor
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10,000+ employees
⚕️ Healthcare Insurance
🧬 Biotechnology
💊 Pharmaceuticals
Healthcare Insurance • Biotechnology • Pharmaceuticals
Thermo Fisher Scientific is a leading global supplier of scientific instrumentation, reagents and consumables, and software services. They support the life sciences, healthcare, and analytical chemistry sectors by providing robust solutions for laboratory research and production processes. Their innovative products and services encompass a range of applications, including diagnostics, lab workflow automation, and drug discovery.
• Partner with AVP of Product to define platform roadmap that balances foundational fixes with innovation and competitive differentiation • Analyze competitive landscape in AI data platforms and identify opportunities to differentiate and win in the market • Translate business objectives and user insights into compelling product narratives and strategic initiatives • Build business cases and prioritization frameworks (impact/effort, RICE, etc.) to guide roadmap decisions • Collaborate with engineering, design, data science, recruitment, delivery, operations and client teams to ship high-quality features on aggressive timelines • Influence stakeholders across recruitment, delivery, sales, and customer success to align on product priorities and drive platform adoption • Partner with marketing and go-to-market teams to position product capabilities and drive user acquisition and engagement • Build trust with distributed engineering teams (including global development centers) through clear communication and stakeholder management • Define KPIs and success metrics for product initiatives, leveraging analytics tools to measure impact • Design and execute A/B tests and multivariate experiments to validate hypotheses and optimize user experiences • Build dashboards and reporting mechanisms to provide visibility into product health, user behavior, and business outcomes • Apply strong product sense and UX intuition to evaluate designs, prototypes, and user flows • Partner with designers (or work independently when needed) to create wireframes, mockups, and prototypes that communicate product vision • Advocate for user needs and ensure design decisions are grounded in research, data, and usability best practices
• 3+ years of product management experience in consumer-facing or B2B platforms • Proven track record scaling products to millions of users (required - must demonstrate specific examples) • 3+ years working at high-growth technology companies or fast-scaling startups • Experience with marketplace platforms, two-sided networks, or workforce management systems (preferred) • Product-led growth: Deep understanding of activation funnels, onboarding optimization, retention tactics, and viral mechanics • User experience design: Strong product sense, ability to evaluate and influence design decisions, familiarity with design tools (Figma, Sketch) • Experimentation & analytics: Hands-on experience designing A/B tests, analyzing user data (SQL required), and building dashboards • Competitive intelligence: Ability to analyze competitor products, identify market trends, and translate insights into product strategy • Stakeholder management: Exceptional communication skills, ability to influence cross-functional teams and senior leadership • Comfortable working with engineering teams on technical product decisions • Understanding of APIs, system architecture, and data flows (ability to read API documentation, understand integration points) • Familiarity with AI/ML concepts and LLM-based products (nice-to-have) • Bias to action: Ships MVPs quickly, iterates based on feedback, comfortable with ambiguity • User-centric: Obsessed with understanding user needs, pain points, and behavior • Data-informed: Uses data to validate hypotheses but balances with qualitative insights and product intuition • Collaborative: Builds trust across teams, seeks input from stakeholders, operates with transparency
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