Product Manager, Platform Engineering & Toolchain
About the role
This role supports product strategy, design and planning for multiple internal platform products that enable secure, compliant, scalable, and high-velocity software delivery across BTS. This is early-stage product work you will shape what gets built from the ground up based on what engineers actually need.
Responsibilities
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Champion end-to-end product management from continuous user research and discovery through launch, adoption, and optimization of internal platforms.
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Focus engineering teams on the why. Own business outcomes and user problems, not solutions; deeply understand developer pain points before prescribing platform features.
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Facilitate outcome-oriented alignment across business, engineering, and BTO stakeholders for a suite of Platform Engineering and Internal Developer Toolchain products, ensuring enterprise requirements (security, compliance, reliability, cost) are delivered as built-in platform value.
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Own platform capabilities such as CI/CD pipelines, developer portals, artifact management, and observability.
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Treat compliance, security, and operational controls as first-class product features, embedding them directly into platforms and pipelines.
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Conduct in user research, journey mapping, and assumption testing to validate product decisions; change direction when the evidence says you're wrong.
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Use data analytics, KPIs, and OKRs to measure product success, guide prioritization, and drive evidence-based, customer-centric decisions.
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Work closely with Engineering, Security, Architecture, Legal, and Compliance teams to deliver platforms that are compliant-by-design, scalable, and reusable.
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Collaborate with other Product Managers to align platform strategies, manage interdependencies, and deliver a cohesive internal developer ecosystem.
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Guide cross-functional teams in delivering platform standards, paved roads, and self-service capabilities that accelerate product team delivery.
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Proactively monitor DevOps, Platform Engineering, cloud, and AI trends to ensure platform relevance, sustainability, and innovation.
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Facilitate outcome-oriented alignment across business, engineering, and BTO stakeholders, clearly communicating strategy, trade-offs, and progress.
Qualifications
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Bachelors Degree with 7+ years of experience; Masters Degree with 6+ years; or PhD with 2+ years of relevant experience.
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Proven experience as a Product Manager contributing to platform, infrastructure, or internal developer-facing products.
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Knowledge of Agile product management, product discovery frameworks (Lean, Dual-Track Agile, Jobs-To-Be-Done Framework, Continuous Discovery), and outcome-based roadmapping.
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Evidence of real user research and discovery practice talking to users, testing assumptions, and changing direction based on what you learned.
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Strong understanding of Platform Engineering, DevOps, CI/CD, cloud platforms, infrastructure-as-code, and developer experience.
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Prior hands-on engineering experience or deep technical background in software delivery.
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Experience working with cross-disciplinary teams including Engineering, SRE, Security, and Architecture.
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Proven ability to engage engineering teams as a technical peer; can discuss architectural trade-offs, evaluate technical debt, and contribute to design discussions.
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Strong analytical, user empathy, and stakeholder management skills.
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Excellent communicator able to build trust, influence without authority, and align teams in a complex, matrixed enterprise environment.
Preferred
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Experience in regulated industries (pharma, healthcare, finance) with familiarity in GxP, SOX, GDPR, or similar frameworks.
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Hands-on exposure to Platform Engineering models (internal developer platforms, golden paths, paved roads).
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Experience delivering Compliance-as-a-Platform or Security-as-a-Platform capabilities.
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Background working closely with Cloud Engineering, SRE, or DevOps organizations.
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Ability to manage competing priorities and navigate ambiguity while driving business outcomes.
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Practiced in continuous discovery methods (opportunity trees, assumption mapping, lean experimentation) not just familiar with the concepts.