
Sr Technical Product Manager
Booking.com
Sr Technical Product Manager
Booking.com is seeking a Senior Technical Product Manager to lead the transformation of its engineering environments. This senior individual-contributor role involves defining product strategy, driving adoption, and delivering measurable improvements for thousands of engineers. The ideal candidate has significant product management experience with complex technical platforms and strong technical fluency.
Sr Technical Product Manager
Booking.com is seeking a Senior Technical Product Manager to lead the transformation of its engineering environments. This senior individual-contributor role involves defining product strategy, driving adoption, and delivering measurable improvements for thousands of engineers. The ideal candidate has significant product management experience with complex technical platforms and strong technical fluency.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Define the long-term vision, strategy, objectives, and roadmap for Booking.com's next generation of engineering environments.
- Develop a deep understanding of engineers' workflows, pain points, and unmet needs across development, testing, debugging, and service integration.
- Define the target developer experience and the platform capabilities required to deliver it.
- Establish clear product principles and investment priorities across areas such as environment fidelity, isolation, reproducibility, availability, speed, security, scalability, and cost.
- Contribute to the broader Engineering Ecosystem strategy and align senior stakeholders around the transformation's direction, sequencing, and measures of success.
- Translate an ambiguous, company-wide engineering problem into clearly defined product opportunities, strategic choices, and phased outcomes.
- Partner with engineering leadership to shape the target platform architecture and make informed trade-offs between developer experience, technical feasibility, operational complexity, and cost.
- Manage a long-term roadmap with dependencies across infrastructure, compute, networking, data, CI/CD, developer tooling, observability, security, and service ownership.
- Define the transition from existing environments to the new platform, balancing long-term architectural goals with incremental value delivery.
- Identify technical, organizational, and adoption risks early and establish mitigation plans with the relevant teams.
- Treat engineers as customers and build a detailed understanding of their end-to-end workflows.
- Enable engineers to create, configure, access, troubleshoot, and retire environments with minimal friction and cognitive overhead.
- Ensure the product integrates effectively with IDEs, source control, CI/CD systems, internal developer platforms, observability tools, and relevant AI-assisted engineering workflows.
- Support different engineering use cases while avoiding unnecessary fragmentation, bespoke solutions, and duplicated platform investments.
- Partner with design and research specialists to make complex platform capabilities understandable and accessible.
- Define the product's go-to-market, adoption, and migration strategy in partnership with platform teams and engineering communities.
- Identify high-value early adopters and use their experience to validate assumptions, refine the platform, and demonstrate value.
- Establish clear migration paths and incentives that enable teams to move away from legacy solutions safely.
- Lead the change-management effort required to establish new engineering practices and platform standards.
- Influence teams outside your direct area to adopt shared capabilities and contribute to a coherent engineering-environments ecosystem.
- Define product and non-functional requirements for availability, performance, provisioning time, environment fidelity, scalability, security, privacy, observability, and cost efficiency.
- Partner with engineering to establish appropriate service levels, operational ownership, support models, and platform-health measures.
- Ensure the platform supports secure handling of code, credentials, test data, dependencies, and network access.
- Balance engineer autonomy with organizational requirements for governance, standardization, and efficient infrastructure usage.
- Make evidence-based decisions about when to build, buy, integrate, standardize, or retire capabilities.
- Define primary, supporting, and counter-metrics for the platform.
- Measure outcomes such as environment provisioning time, successful setup rate, developer wait time, workflow completion time, reliability, adoption, developer satisfaction, support burden, and infrastructure cost.
- Combine telemetry, developer research, experiments, and operational data to identify friction and prioritize improvements.
- Evaluate whether improvements translate into faster feedback loops, higher engineering quality, and reduced developer toil.
- Communicate progress, evidence, risks, and investment recommendations clearly to engineering and product leadership.