Define What Good Looks Like
Define the FDE delivery standards, engagement model, and quality bar, and write them down so engagements are consistent across customers, regions, and engineers.
Decide which metrics matter for FDE, set targets, and revise them as the team learns.
Turn lessons from each engagement into reusable practice and product improvements.
Run the FDE Business
Give executives a clear account of what is on track, what is at risk, what decision is needed, and from whom.
Own FDE capacity management and staffing plans with FDE leadership and recruiting: which engineers are aligned to which customers, where the gaps are, where and when to hire to stay ahead of demand.
Own Customer and Engineering Commitments
Instrument every commitment Docker has made to FDE customers, and every commitment Docker Product and Engineering teams have made to FDE.
Track commitments, map dependencies across teams, and surface risks early enough to act on them.
Negotiate and confirm dates with teams that run on their own planning processes, and hold them to those dates.
Influence Across Docker
Represent FDE with Product and Engineering leadership. Make sure customer needs are well defined using data, and that product decisions map to achievable FDEs action.
Improve the internal processes that slow collaboration between Field, Product, and Engineering, and bring those improvements to the wider company when they work.
Present FDE results and risks to Docker executives and customer stakeholders.
Lead the Program Practice
Set priorities for junior TPMs, define the reporting FDE needs, and mentor them in program management practice.
Choose the tools and standards FDE uses to track work.
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Required
10+ years of technical program management experience, including 4+ years at Staff level or above, supporting customer-facing engineering, professional services, or field engineering teams.
A track record of delivering commitments on schedule for enterprise customers, including contractual or executive-visible deadlines.
Experience defining standards, quality bars, and operating processes that other teams adopted.
Experience running dependencies across many engineering teams that you do not manage, and getting reliable dates from them through influence.
Strong technical background in cloud platforms, containers, and modern software delivery. You can read a design, challenge an estimate, and tell a real blocker from a vague one.
Experience choosing metrics and setting targets, including working with incomplete data and deciding what is good enough to act on.
Executive communication skills, with the ability to deliver difficult news early and clearly to customer stakeholders, Docker leaders, and engineers.
High agency and comfort working autonomously in a distributed, remote-first company where processes are still being defined.
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Occasional travel to customer sites and to Docker team gatherings.
Bonus Qualifications
Prior experience supporting a Forward Deployed Engineering, Professional Services, Solutions Engineering, or Customer Engineering organization.
Familiarity with the agentic AI ecosystem, including coding agents, Model Context Protocol (MCP), and enterprise requirements for security and governance of AI workloads.
Experience with regulated or compliance-driven customers in financial services, healthcare, government, or similar sectors.
Experience at a developer tools, infrastructure software, or platform company.
Familiarity with Docker products, Kubernetes, and cloud-native development platforms.
What Success Looks Like
FDE has written delivery standards, a quality bar, and KPI targets that FDEs, Field, Product, and Engineering all know and use.
Every customer commitment and every Docker engineering commitment to FDE has an owner and a date, and strategic customer deadlines are met.
FDE operating reviews run weekly, produce decisions, and close their actions.
FDE capacity, hiring, and customer alignment are planned ahead of demand.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
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Compensation & Equity
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $162,505 - $254,650 base
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Posting Information
Open vacancy: This posting is for an existing open role.
AI in hiring: Docker may use AI-assisted tools during our recruiting process.
Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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Perks & Benefits
Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
Home office support – Set up your workspace for comfort and success.
Technology stipend – Equivalent to US$100 net per month to help support your work.
Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
Parental leave – 16 weeks of paid parental leave after six months of employment.
Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
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