Senior Platform Engineering Manager

Overview

Lead a portfolio of Platform Engineering teams that build backend platforms, AI development platforms, developer tooling, and shared services used across the engineering organization.

What you'll do

• Lead, coach, and grow a portfolio of Platform Engineering teams through managers and senior/staff engineers, building leadership depth over time.
• Set multi-year portfolio strategy and roadmap; make investment, sequencing, sunset, and decline decisions using business, customer, and operational signals.
• Own Platform Engineering priorities, operating standards, and outcomes; translate technical leadership's direction for major bets into priorities, guardrails, and execution plans.
• Resolve cross-team trade-offs in sequencing, reliability, and operations while delegating detailed design and implementation to managers and staff engineers.
• Establish safe, measurable patterns for AI-assisted development across planning, coding, testing, deployment, and operations, with practical privacy, security, quality, and reliability guardrails.
• Treat platforms as products: understand internal customers, use feedback loops, drive adoption, measure outcomes, and simplify migrations and deprecations.
• Own portfolio reliability and operational health by setting clear expectations, strengthening on-call practices, and driving learning from incidents.
• Align engineering and cross-functional partners, unblock dependencies, hire exceptional leaders, and build an inclusive, high-performing, psychologically safe culture.

What you'll need

• 10+ years building and shipping software, with a strong foundation in Platform, Infrastructure, or Software Engineering.
• 4+ years leading multiple engineering teams, including through managers, with responsibility for portfolio-level strategy, investment trade-offs, and outcomes; experience leading senior and staff engineers.
• Deep expertise in one or more platform domains, such as developer platforms, CI/CD, cloud infrastructure, or shared services, plus the breadth and judgment to lead across the full portfolio.
• Deep technical judgment in distributed systems, architecture, reliability, security, and modern software delivery practices, with the ability to evaluate options, shape implementation guardrails, and partner effectively with technical leadership on major architectural decisions.
• A track record of treating internal platforms as products: understanding customer needs, driving adoption across teams, and measuring impact through clear outcomes.
• Demonstrated success coaching and developing engineers and managers across career stages, including direct feedback and performance management.
• Experience translating technical vision into business impact through clear prioritization, investment trade-offs, and measurable outcomes.
• Experience evaluating or integrating AI tooling into engineering workflows, with practical judgment about privacy, security, quality, and reliability guardrails as AI adoption grows.
• A clear, proactive communicator with a bias to action, humility, and a track record of building inclusive, high-performing, psychologically safe teams while aligning technical and non-technical stakeholders.

Nice to have

• Deep AI-platform specialization is not required.

Details

• Locations: New York, NY; Silicon Valley, CA; or USA Remote.
• Remote work environment is flexible.
• Base salary range: $210,000 to $310,000 USD, with certain positions also eligible for variable pay and/or equity.
• Benefits include unlimited vacation (if salaried), 100% paid employee health benefit options (medical, dental, vision), 401(k) with employer-funded match, corporate wellness program, sabbatical leave (5+ years of service), paid parental leave and fertility/family planning reimbursement, and cell phone reimbursement.