Technical Program Manager

Who you are

• This is a hands-on role for someone who is passionate about understanding how software organizations work and making them meaningfully better
• 4-7 years of experience in software engineering, software operations, developer productivity, technical program management, product operations, platform engineering, or a similar role focused on improving how software teams work
• Experience designing and improving processes, workflows, tools, or operating systems — not just administering established ones
• Hands-on experience with software development tools such as Jira, Confluence, GitHub, CI/CD platforms, cloud services, or similar engineering systems
• Practical experience using AI tools in your work and an interest in applying AI and automation to engineering workflows
• Experience using data and metrics to understand problems, evaluate improvements, and drive decisions
• Ability to work effectively with engineers and technical leaders while communicating clearly across technical and non-technical audiences
• Qualified applicants must be able to work from the office 3 days per week
• Experience building workflow automation, API integrations, scripts, AI agents, or other internal productivity tools
• Familiarity with Python, SQL, JavaScript, or another scripting or programming language
• Experience with AI-assisted software development tools such as Claude Code, GitHub Copilot, Cursor, or similar platforms
• Familiarity with engineering effectiveness frameworks and metrics such as DORA, SPACE, flow metrics, developer experience metrics, or software quality measures
• Experience with Agile software development, CI/CD, DevSecOps, and modern software delivery practices
• Experience administering or configuring Jira, Jira Product Discovery, Confluence, GitHub, Jenkins, AWS, or similar engineering platforms
• Experience working across a large or complex software engineering organization
• Experience with consumer software, embedded software, or connected-device development
• Research shows that some candidates may not apply for roles if they don't meet all the criteria. If you don't have 100% of the skills listed, we still strongly encourage you to apply if interested

What the job involves

• At Sonos we want to create the ultimate listening experience for our customers and know that it starts by listening to each other
• As part of the Sonos team, you’ll collaborate with people of all styles, skill sets, and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives
• The Software Operations team designs, builds, and continuously improves the operating systems that help Sonos software teams plan, develop, measure, and deliver great products
• As a Technical Program Manager on this team, you won't be assigned to a single program to run meetings and track status — instead, you'll work across the software development organization to improve how engineering itself works
• You'll help build an AI-enabled software development lifecycle, improve developer workflows and engineering metrics, automate repetitive operational work, and create scalable processes that allow teams to operate with greater autonomy, predictability, and transparency
• Design, build, and continuously improve the processes, workflows, tools, and operating mechanisms used across the Sonos software development organization
• Help build an AI-enabled software development lifecycle, using AI agents, automation, APIs, and deterministic workflows to reduce manual work and make engineering processes easier to use
• Develop engineering metrics and feedback systems that help teams understand developer productivity, quality, flow, predictability, and organizational health
• Help define and operate the planning and execution mechanisms that allow multiple autonomous software teams and programs to work effectively within a shared development model
• Work directly with engineering teams to identify friction and bottlenecks, understand root causes, implement improvements, and measure outcomes
• Turn complex or manual organizational processes into scalable systems that teams can use without requiring constant coordination or facilitation
• Use data to evaluate the effectiveness of operational changes and communicate findings to technical and non-technical stakeholders
• Contribute to the roadmapping, work tracking, and capacity planning systems that enable better investment and execution decisions