Product Manager – Platform Growth, Scaling

🕒 Junho 8

🏄 California – Remoto

🏄 California – Remote

💵 $160.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

✅ Gerente de Produto

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Thermo Fisher Scientific

SiteLinkedInTodas as Vagas

10.000+ funcionários

⚕️ Seguro de Saúde

🧬 Biotecnologia

💊 Farmacêutico

Healthcare Insurance • Biotechnology • Pharmaceuticals

A Thermo Fisher Scientific é um fornecedor global líder de instrumentação científica, reagentes e consumíveis, além de serviços de software. Eles apoiam os setores de ciências da vida, saúde e química analítica, fornecendo soluções robustas para pesquisa laboratorial e processos de produção. Seus produtos e serviços inovadores abrangem uma gama de aplicações, incluindo diagnósticos, automação de fluxo de trabalho em laboratório e descoberta de medicamentos.

Descrição

• 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

🎯 Requisitos

• 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