Location: Japan
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
The Account Executive, Strategic, is responsible for managing and expanding relationships with key strategic accounts. This role involves a deep understanding of the client's business, the ability to develop strategic plans to increase revenue, and ensuring client satisfaction through excellent service. The ideal candidate will have a proven track record in sales, exceptional communication skills, and the ability to navigate complex negotiations.
RESPONSIBILITIES
- Client Relationship Management: Build and maintain strong, long-lasting customer relationships with strategic clients. Act as the main point of contact and advocate for client needs within the company.
- Strategic Business Planning: Develop a thorough understanding of key client needs and requirements. Work closely with clients to devise and implement strategic plans that align with their business goals and drive mutual growth.
- Sales Targets: Achieve and exceed sales quotas within assigned portfolio by identifying and closing business opportunities.
- Market Analysis: Conduct research and analysis to understand industry trends, competitive landscape, and client feedback to inform strategic planning and identify new business opportunities.
- Collaboration: with cross-functional teams (including marketing, product development, and customer service) to ensure a cohesive and comprehensive approach to market.
- Reporting and Forecasting: Provide accurate forecasts and track key account metrics. Report on the status of accounts and transactions, and monitor sales performance against goals.
- Contract Negotiation: Lead contract negotiations, ensuring favorable terms for both the client and the company.
QUALIFICATIONS
- 5+ years experience selling to large, complex F100 businesses, demonstrating a successful track record of meeting or exceeding targets, preferably in a similar industry or role.
- Demonstrated ability to communicate, present, and influence credibly and effectively at all levels of the organization, including executive and C-level.
- Experience delivering client-focused solutions to customer needs.
- Proven ability to manage multiple account management projects at a time while maintaining sharp attention to detail.
- Excellent listening, negotiation, and presentation abilities.
- Strong verbal and written communication skills.
- Above and beyond: Trained in Command of the Message and MEDDPICC
WHAT TO EXPECT
FIRST 30 DAYS:
- Understanding the Company and Product: Gain a deep understanding of the company's products or services, value proposition, and the competitive landscape. This includes completing all necessary onboarding training and familiarizing oneself with the company culture and processes.
- Relationship Building: Begin to establish relationships with key internal stakeholders, including sales, marketing, product, and customer support teams. Understanding their roles and how they can contribute to the success of strategic accounts is crucial.
- Client Familiarization: Start to get acquainted with the portfolio of strategic accounts, including reviewing account histories, previous interactions, and current contracts or agreements. Initial meetings with some key clients may also take place to introduce yourself as their new point of contact.
FIRST 90 DAYS:
- Strategic Planning: Develop detailed strategic plans for each key account, identifying opportunities for growth, potential challenges, and strategic objectives. This should be done in collaboration with clients and internal teams.
- Performance Metrics: Establish clear KPIs for success within your accounts, aligned with both client expectations and company goals. Begin tracking these metrics closely.
- Sales and Negotiations: Start actively pursuing new business opportunities within strategic accounts, which may involve negotiating terms for contracts or renewals. Efforts to cross-sell or up-sell should also be underway.
- Feedback Loop: Implement a process for regularly gathering and acting on client feedback to improve service delivery and client satisfaction.
ONE YEAR OUTLOOK:
- Achieving Sales Targets: By the one-year mark, you should have met or exceeded the initial sales targets set for your strategic accounts. This includes successfully closing new deals and expanding business within existing accounts.
- Strategic Account Growth: Demonstrated growth in strategic accounts through increased engagement, higher revenue, and enhanced partnership levels. Your strategic planning and execution should result in tangible benefits for both the clients and your company.
- Relationship Depth: At this point, you should have established deep, trust-based relationships with key stakeholders within each strategic account. You're seen as a strategic advisor rather than just a sales contact.
- Process Improvements: Identification and implementation of process improvements based on lessons learned over the year to increase efficiency, customer satisfaction, and sales effectiveness.
- Professional Development: Continued professional growth, possibly including leadership development, advanced sales strategies, and industry knowledge enhancement to better serve strategic accounts and contribute to the company's objectives.
Success in an Account Executive Strategic role is measured not just by sales figures but by the depth of relationships built, the strategic value delivered to clients, and the positive impact on the company’s long-term growth. Regular reviews against these expectations can help in identifying areas for improvement and adjusting strategies as necessary.
Docker does not offer visa sponsorship for this role.
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: San Francisco, CA or Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
- A model and tool routing layer with built-in security and cost optimization
- A familiar OpenAI-compatible interface and MCP server
- Unified observability and policy enforcement
- Auto-RAG, tool injection, session summarization, and more
We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development.
WHAT YOU’LL DO
- Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane
- Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement
- Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting
- Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol
- Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows
- Lead architectural decisions and mentor engineers as the team scales
- Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load
- Contribute to roadmap planning, technical strategy, and cross-functional alignment
KEY PROBLEMS YOU’LL HELP SOLVE
- Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience
- Making credential and identity handling for tool access both airtight and fast
- Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed
- Keeping latency low and reliability high as traffic scales from early adopters to production fleets
WHO YOU ARE
Required Qualifications:
- 6+ years of backend engineering experience with production-grade systems
- Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design
- Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines)
- Fluency in Go, and/or Rust (both preferred)
- Familiarity with AI/ML platforms or model serving infrastructure
- A strong product mindset—you're excited about building developer-facing tools
- Ownership mentality with a bias for shipping, learning, and iterating
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Bonus Qualifications:
- Prior experience with OpenAI, Anthropic, or similar LLM APIs
- Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
- Understanding of OAuth2.1, secret management, and cloud IAM systems
- Experience with Kubernetes, Docker, and microservices architecture
WHY JOIN US?
- Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.
- Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.
- Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.
- Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.
- Remote-first culture: Work from anywhere with a team that trusts and empowers you.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: San Francisco, CA or Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure.
The Gateway sits at the center of modern AI applications, offering:
- A model and tool routing layer with built-in security and cost optimization
- A familiar OpenAI-compatible interface and MCP server
- Unified observability and policy enforcement
- Auto-RAG, tool injection, session summarization, and more
We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development.
WHAT YOU’LL DO
- Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x
- Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production
- Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership
- Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end
- Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on
- Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence
- Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example
- Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next
KEY PROBLEMS YOU’LL HELP SOLVE
- Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on
- Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale
- Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on
- Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find
- Set the bar for developer experience through intuitive APIs and first-class observability
WHO YOU ARE
Required Qualifications
- 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale
- Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced
- Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on
- Fluency in Go and/or Rust
- A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own
- A strong product mindset, with real experience shaping technical direction rather than only executing against it
- Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
BONUS QUALIFICATIONS
- Prior experience with OpenAI, Anthropic, or similar LLM APIs
- Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI)
- Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways
- Understanding of OAuth 2.1, secret management, and cloud IAM systems
- Experience with Kubernetes, Docker, and microservices architecture
- A track record of setting technical standards that other teams or engineers went on to adopt
WHY JOIN US?
- Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software.
- Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications.
- Impact at scale: Your work will touch tens of thousands of developers building AI-first applications.
- Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking.
- Remote-first culture: Work from anywhere with a team that trusts and empowers you.
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: England; Portugal; Spain; Italy; Ireland; Germany
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is seeking a results-oriented Account Executive, Mid-Enterprise. The ideal candidate will be a self-starter with a proven track record of success selling to strategic level accounts.
In this role, you can expect to:
- Meet with prospects to generate interest in purchasing commercial Docker products
- Meet with customers to identify areas to expand their partnership with Docker via additional products and services
- Achieve monthly and quarterly sales targets quotas of sourced qualified opportunities and closed business
- Accurately forecast business on a monthly and quarterly cadence
- Spearhead the growth & adoption of Docker within our existing user base
- Establish and maintain active engagement with clients that demonstrate usage patterns that indicate a propensity to acquire our commercial offering
- Respond to and qualify incoming inquiries regarding interest in Docker products
- Craft a great first impression to our prospects and customers by adding value during every customer touchpoint
- Partner with cross-functional teams to share customer feedback, inform product road map and drive strong marketing campaigns
- Engage in team development and mentoring
You may be a good fit for our team if you have:
- 2+ year(s) of sales experience selling to mid market and/or enterprise customers; preference for selling technical products to developer and engineering personas
- A demonstrated track record of success
- Experience working with a technical product or the aptitude to quickly learn complex technical concepts
- Experience with Open Source Software business models is preferred but not required
- Experience with all aspects of B2B technology sales aspects, including pre-call planning, opportunity qualification, objection handling, and closing opportunities
- The ability to structure, control, and lead calls
- High integrity and a team-first mentality
- Positive and upbeat phone skills, excellent listening skills, and strong writing skills
- Sales training and Salesforce experience a plus
- 4-year college degree or equivalent experience preferred
n your first 30 days:
- You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program
- You will learn how to navigate through award-winning sales tools such as; Salesforce, ZoomInfo, Outreach, Sales Navigator, and Docker
- You will begin core AE functions; prospecting, lead qualification, discovery meetings, Account Management/Introductions, Salesforce hygiene, and pipeline management.
- You will work closely with your manager, shadow your peers, and partner with your BDR to develop prospecting strategies unique to your territory
- At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role
In Your First 60 Days:
- During your second month, you will be laser-focused on Account Management, Opportunity Generation, identify target accounts and prospecting strategies in your territory
- You will have connected with all of your primary customer accounts (both net-new opportunities in flight and partner with Renewal Managers on upcoming renewals)
- Build prospecting lists for target accounts, understanding key decision-makers and then reach out to them using all communication channels (cold call, email, chat, and social media)
- You will comprehend and maintain in-depth knowledge of Docker’s products and have a great pitch
- Adhere to team KPI metrics and prospecting standards
- You will have an advanced understanding of tools, activities, and best practices to be successful in the AE role
- You will ideally be able to close your first transaction
By 90 Days:
- In month three, you will be confident in your craft and ready to fully immerse yourself in your day job
- You will continue efforts to improve messaging, processes, and daily activities
- You will be an accomplished seller of Docker products with multiple transactions (renewals, upsell, net-new) under your belt
Docker does not offer visa sponsorship for this role.
Compensation & Equity
EU: €124,600K – €178,000 OTE + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
We are hiring a Legal Operations Analyst to support the day-to-day operations of Docker's lean Legal team: contract operations, outside counsel spend, legal technology administration, and the processes that connect Legal to the rest of the business. You will report to the VP and Head of Legal with direct collaboration and oversight from the Sr. Manager of Legal Operations, and partner with Sales, Deal Desk, Finance, Product, and Engineering.
You will work inside Docker's legal technology stack (Ironclad, Brightflag, Salesforce, and Zip) and the AI-assisted workflows we are actively building, with real ownership of your workstreams and direct influence on how those tools evolve.
RESPONSIBILITIES
- Manage contract intake, routing, approvals, and signature coordination, keeping stakeholders informed throughout the process.
- Review contracts using Docker’s playbooks and AI tools, and flag nonstandard terms or questions for attorney review.
- Support outside counsel billing operations, including invoice review, billing guideline compliance, and accrual tracking.
- Support administration of legal technology platforms, including workflow maintenance, user support, and data quality.
- Use and help improve AI-assisted workflows for contract review, drafting, and intake, including refining prompts and testing outputs against approved playbooks and attorney feedback.
- Support pilots of new AI tools and use cases, gathering user feedback and tracking accuracy, adoption, and time savings.
- Develop and maintain standard operating procedures, templates, and knowledge resources, and train stakeholders on legal technology and responsible AI use.
- Build and maintain dashboards tracking contract volume, cycle times, and outside counsel spend, translating data into actionable insights.
- Support systems integration and process improvement projects with cross-functional teams, identifying opportunities for automation and AI to streamline legal operations.
QUALIFICATIONS
REQUIRED
- 3+ years of experience in legal operations, contract management, a paralegal role, or a related operational role, including experience at a SaaS or technology company.
- Hands-on experience using a contract lifecycle management (CLM) platform, such as Ironclad, Icertis, Agiloft, or DocuSign CLM.
- Experience supporting contract intake, review coordination, or signature processes.
- Hands-on experience applying AI tools to legal or operational tasks, including drafting prompts, reviewing outputs for accuracy, and refining results.
- Strong organizational skills, attention to detail, and the ability to manage competing requests.
- Good judgment about when to follow established procedures and when to ask questions or escalate.
- Clear written and verbal communication skills and the ability to collaborate and follow through on assigned work in a remote team.
- Bachelor’s degree or equivalent professional experience.
PREFERRED
- Direct experience with Ironclad, Wordsmith, Brightflag, or similar systems.
- Familiarity with invoice review, accrual tracking, or outside counsel billing.
- Familiarity with Salesforce, Zip, or other systems connected to legal workflows.
- Experience maintaining reports, playbooks, standard operating procedures, or training materials.
- Experience supporting a small in-house legal team.
- Exposure to SaaS agreements, order forms, or commercial open-source licensing.
- Experience helping test or improve AI-assisted workflows.
This role is a strong fit for someone who enjoys hands-on operational work, likes systems and processes, and wants to expand their use of AI in legal operations. You’ll build expertise with guidance from the Senior Legal Operations Manager, focusing on process execution, technology support, and continuous improvement.
WHAT TO EXPECT
FIRST 30 DAYS
- Complete onboarding and become familiar with Docker’s legal tools, contract playbooks, and AI guidelines.
- Shadow contract intake, invoice review, and routine Ironclad administration.
- Meet key cross-functional partners and learn how Legal supports their teams.
- Begin handling straightforward requests with guidance.
FIRST 90 DAYS
- Handle routine contract intake and initial playbook-based reviews, escalating questions to the appropriate team member.
- Assist with Brightflag invoice review, accrual tracking, and spend reporting.
- Support everyday Ironclad maintenance, user requests, and data cleanup.
- Use existing AI-assisted workflows and help test improvements with team guidance.
ONE YEAR
- Reliably handle routine contract and billing workflows, recognizing when to seek guidance.
- Help stakeholders navigate legal tools, processes, and contract status questions.
- Maintain accurate reports, playbooks, and training resources.
- Contribute to process improvements and AI tool testing that help the team reduce manual work.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$141,145– CA$201,635 + equity
United States: $103,600 – $148,00 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Senior Engineer you will design, build, and operate:
AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker.
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn.
RESPONSIBILITIES
Building and Operating AI Developer Tools
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards
- Build systems that help Docker's engineers adopt AI-native development tools
- Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction
Self-Service Platform
- Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster
- Help reduce time-to-production for new products from weeks to days
- Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response
Design and Delivery
- Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions
- Write clear design documents for the work you own, and participate in design reviews for the team
- Review code thoroughly and share what you learn with the rest of the team
- Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier
- Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship
Collaboration and Growth
- Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work
- Partner with Infrastructure, Security, and Data teams on integrations and shared standards
- Help newer engineers get up to speed on the team's tools, patterns, and practices
- Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience building and operating production systems
- Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Experience building and operating scalable backend services, distributed systems, or developer-facing platforms
- Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience building developer tools, platform systems, or internal tools that other engineers rely on
- Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design
- Clear written and spoken communication suited to a remote, async-first company
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Comfortable working autonomously in a distributed, remote-first team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability
- Familiarity with security and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
WHAT TO EXPECT
FIRST 30 DAYS
- Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far
- Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering
- Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Shadow on-call and learn the operational profile of the team's services
FIRST 90 DAYS
- Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant
- Write the design document for work you own and take part in team design reviews
- Contribute to the self-service platform's deployment pipeline, observability integration, or security controls
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be a go-to engineer for one or more of the team's AI tools or platform components
- Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to
- Have helped teams outside AI Developer Tools build and run their own tools on the platform
- Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Staff Engineer you will own the technical design and delivery for two areas:
AI-Powered Developer Tools. Design and build AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
Self-Service AI Developer Tools Platform. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker.
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team.
RESPONSIBILITIES
Technical Leadership and Architecture
- Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap
- Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions
- Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt
- Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
- Design reliable, scalable infrastructure for hosting AI agents and developer tools
- Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit
- Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals
Systems Design and Implementation
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days
- Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization
- Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management
- Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling
Strategic Impact and Innovation
- Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build
- Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction
- Improve AI tool performance, cost efficiency, and developer experience through architectural improvements
- Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them
- Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards
Leadership and Mentorship
- Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices
- Lead design reviews and raise the quality of design and code reviews across the team
- Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on
- Help the team turn good individual AI-assisted engineering practice into shared workflows and controls
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale
- Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Track record of designing and building scalable distributed systems and developer-facing platforms
- Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience designing developer tools, platform systems, or internal tools that other teams rely on
- Track record of clarifying requirements and constraints with stakeholders before committing to a design
- Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority
- Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs
- Clear written and spoken communication suited to a remote, async-first company
- Track record of mentoring other experienced engineers
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience evolving an internal platform or tool into a widely adopted, production-grade service
- Knowledge of security, compliance, and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date
- Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Get hands-on with the team's services and ship a useful production change
- Shadow on-call and learn the operational profile of the team's services
- Work with the Senior Manager to agree on initial technical priorities
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant problem, from requirements through to production
- Document the architecture, technology choices, and integration patterns for that work, including ADRs
- Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant)
- Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management
- Lead design reviews for your area of the roadmap and begin mentoring other engineers
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker
- Deliver at least one material outcome that spans multiple teams or systems
- Have multiple production AI tools demonstrating value across Docker's engineering organization
- Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction
- Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact
- Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
As Docker continues its rapid growth, we're seeking an inspiring and experienced Director of Partner Solution Engineering to lead a world-class team. Docker helps organizations solve complex challenges in modern software supply chains, security governance, and AI-driven development. This role offers the opportunity to shape how our strategic partners, including ISVs, CSPs, SIs, and VARs, adopt and deliver transformative technologies that make developers more productive and secure.
ABOUT THE ROLE
As Director of Partner Solution Engineering, you will lead a high-performing technical organization responsible for driving partner enablement, joint go-to-market initiatives, and technical excellence across Docker's partner ecosystem. You will collaborate closely with Partner Sales, Technical Alliances, Product, and Engineering to develop scalable technical partnership strategies that help partners successfully integrate, sell, and deliver Docker's platform. Your focus will be on enabling your team to drive partner technical readiness, co-innovation, and mutual customer success while building repeatable models for partner engagement at scale.
KEY RESPONSIBILITIES
LEADERSHIP & TEAM DEVELOPMENT
- Lead, develop, and inspire a team of Partner Solution Engineers, ensuring professional growth and high performance across multiple partner segments (ISVs, CSPs, SIs, VARs).
- Build and scale the Partner SE organization to support Docker's expanding partner ecosystem and geographic coverage.
- Foster a culture of innovation, collaboration, and continuous learning focused on partner success and technical excellence.
- Coach, mentor, and empower your team to engage effectively with diverse partner organizations and communicate complex technical concepts clearly.
PARTNER ENABLEMENT & TECHNICAL STRATEGY
- Establish repeatable processes and programs for partner technical enablement, including scalable learning paths, certifications, technical deep-dives, and integration workshops.
- Design and deliver both 1:1 strategic enablement for key partners and 1-to-many programs that drive adoption across the broader partner ecosystem.
- Create technical content, integration guides, architectural diagrams, reference architectures, and enablement videos tailored for partners.
- Develop partner-specific technical sales plays, solution validation frameworks, and proof-of-value methodologies that highlight Docker's differentiated value.
JOINT GO-TO-MARKET EXECUTION
- Partner with the Partner Sales organization to drive joint account planning, co-selling opportunities, and "sell-with" and "sell-through" motions.
- Guide partners through solution design, technical validation, and evaluation processes to achieve joint customer success and sales goals.
- Support product positioning and technical validation during joint sales engagements, ensuring clarity on what's GA and ready for delivery.
- Define and track metrics for partner technical readiness, engagement quality, and revenue impact.
PRODUCT & ALLIANCE COLLABORATION
- Collaborate with Product and Engineering teams to share Voice of the Partner, influencing roadmap priorities and co-building initiatives.
- Guide beta/EAP program participation with strategic partners, gathering feedback on new features and integration requirements.
- Work closely with the Technical Alliances team on roadmap alignment, technical integrations with CSPs and ISVs, and partner-driven feature requests.
- Champion regional partner technical needs and priorities in internal planning discussions (FedGov, EMEA, APAC).
CROSS-FUNCTIONAL LEADERSHIP
- Collaborate with Field SEs to ensure alignment with market-specific requirements, share learnings, and avoid duplication of effort.
- Partner with Marketing to support partner events, conferences, webinars, and demand generation programs.
- Work with Sales leadership to define partner success metrics, performance standards, and technical excellence measures.
- Represent Docker at partner events and conferences as a technical expert and evangelist.
OPERATIONAL EXCELLENCE
- Create an environment of continuous improvement focused on partner outcomes, operational excellence, and scalable processes.
- Develop internal enablement programs that enhance partner SE capabilities and share best practices across teams.
- Establish tools, systems, and workflows that enable efficient partner engagement and measurement.
- Build strong feedback loops to iterate on enablement strategies based on data-driven insights and partner performance.
QUALIFICATIONS
REQUIRED
- 8+ years of experience leading technical partner engineering, partner solutions, or pre-sales teams for distributed systems, developer platforms, or cloud infrastructure companies.
- Proven success in guiding teams that support channel partnerships, strategic alliances, and joint go-to-market initiatives.
- Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing partner-facing technical teams.
- Deep understanding of partner ecosystems including ISVs, CSPs (AWS, Azure, GCP), Systems Integrators, and VARs.
- Strong experience in software supply chain security, security governance, DevOps, DevSecOps, or developer productivity technologies.
- Deep technical understanding of containerization, cloud-native architectures, CI/CD pipelines, and developer tools.
- Demonstrated ability to build scalable partner enablement programs (technical learning paths, certifications, workshops).
- Excellent communication and executive presentation skills, with the ability to build trust across technical and business audiences at both partner and customer organizations.
- Strong strategic thinking with proven ability to influence cross-functional teams and drive complex initiatives.
PREFERRED
- Operational experience with Docker, Kubernetes, or similar container-based platforms.
- Experience with application security principles and securing the software supply chain, including SBOMs, image scanning, and secure delivery pipelines.
- Background in software development, scripting, or infrastructure-as-code.
- Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development.
- Familiarity with partner operations tools including Salesforce and enablement platforms like MindTickle.
- Experience working in both direct and channel sales models, understanding the nuances of partner-led vs. partner-assisted sales.
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- Willingness to travel (~30% expected) to support key partner engagements and events.
WHAT SUCCESS LOOKS LIKE
30 DAYS
- Successfully onboard, gaining familiarity with Docker's platform, partner ecosystem, and partner go-to-market strategy.
- Establish relationships with your team, Partner Sales, Technical Alliances, Field SE leadership, and key cross-functional partners.
- Begin shadowing partner calls, reviewing existing enablement materials, and understanding current partner technical capabilities.
- Learn tooling (Salesforce, Looker, Docker platform, PRM) and connect with internal stakeholders.
90 DAYS
- Develop and align a 12-month strategic plan with Partner Sales, Technical Alliances, and Product leadership.
- Begin executing key initiatives focused on improving partner technical readiness, enablement program quality, and joint sales effectiveness.
- Lead enablement sessions for selected strategic partners and support joint-account planning activities.
- Produce initial partner-facing technical content and establish your voice as a technical leader in the partner ecosystem.
1 YEAR
- Scale and enable a high-impact Partner Solution Engineering organization that drives measurable partner success and revenue growth through the channel.
- Own the technical strategy for one or more partner segments with documented processes, metrics, and success stories.
- Become a trusted advisor across Partner Sales, Product, Engineering, and Technical Alliances by championing partner insights and technical excellence.
- Demonstrate quantifiable improvements in partner technical closure rates, joint sales velocity, and partner satisfaction scores.
- Build a reputation as a thought leader in the partner ecosystem, representing Docker effectively at partner events and conferences.
WHY JOIN DOCKER
Docker is at the forefront of developer productivity and software supply chain security. As Director of Partner Solution Engineering, you'll have the opportunity to:
- Shape the technical strategy for how Docker scales through its partner ecosystem
- Build and lead a world-class team of Partner Solution Engineers
- Work with industry-leading partners including major cloud providers, security vendors, and global system integrators
- Influence product direction based on partner and customer insights
- Make a measurable impact on Docker's growth through the channel
- Collaborate with passionate, talented teams across Sales, Product, Engineering, and Alliances
This is a high-impact leadership role for someone who thrives at the intersection of deep technical expertise, strategic partnership development, and team building. If you're excited about enabling partners to deliver exceptional outcomes for joint customers while building a best-in-class Partner SE organization, we'd love to hear from you.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$327.6K– CA$468K OTE + equity
United States: $226.1K – $323K OTE + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE OPPORTUNITY
Docker is seeking a Senior Principal Engineer to serve as the technical visionary and architect for how software gets built, verified, and trusted.
Every day, millions of developers pull images, install dependencies, and ship builds to production. Each of those steps is a place where something can go wrong, or be made to go wrong. Compromised base images, malicious packages, tampered build steps, unsigned artifacts moving through pipelines nobody is watching. The industry calls this the software supply chain, and it has become one of the most consequential unsolved problems in software engineering.
This role sits in Docker and Ecosystems, the group that owns Docker’s most well known products and our emerging content and SDLC business. You will own the technical strategy for secure software delivery across all of it, defining what verifiable, tamper-resistant software delivery looks like at Docker's scale, then driving the architecture that makes it real for every developer and every enterprise customer using our products.
You will set multi-year technical direction, make architectural decisions that shape Docker's product portfolio, and work directly with the SVP of Engineering and executive team on strategy. You will not manage people. You will change what the industry considers table stakes.
WHAT YOU'LL DO
TECHNICAL VISION AND STRATEGY
- Lead multi-year technical vision for build security and supply chain across Docker Desktop, Hub, Hardened Images, Verified Publishing, and monetization platforms.
- Define and sequence "trusted by default" architecture for 20M developers.
- Partner with the SVP of Engineering to convert commercial strategy into multi-year technical roadmaps.
- Establish company-wide architectural principles and security standards.
- Identify high-leverage platform investments that enhance security across all Docker products.
- Proactively position architecture ahead of evolving supply chain threats and regulatory demands.
BUILD SECURITY ARCHITECTURE
Architect systems to detect and prevent build-process threats like compromised dependencies, malicious steps, tampered artifacts, and untrusted images.
- Design provenance and attestation infrastructure ensuring Docker artifacts carry verifiable build history.
- Define artifact signing, verification, and policy enforcement across local workflows and CI/CD pipelines.
- Architect SBOM generation, dependency analysis, and vulnerability intelligence for complete software visibility.
- Align with and help shape emerging supply chain security standards.
- Ensure security controls remain fast and unobtrusive so developers keep them enabled.
SDLC AND DEVELOPER WORKFLOW INTEGRATION
- Architect how Docker's security capabilities integrate across the full software development lifecycle, from local development through CI/CD to production deployment
- Design the interfaces and contracts that let Docker's tooling embed into the pipelines, registries, and platforms customers already run, rather than asking them to rebuild around us
- Define the developer experience for security tooling, where the secure path is the fast path and the default path
- Architect policy and enforcement models that satisfy enterprise security and compliance requirements without fragmenting the developer workflow
- Drive convergence of security capabilities across Docker products, replacing product-specific implementations with shared platform primitives
TECHNICAL EXCELLENCE AND INFLUENCE
- Work with leaders across engineering to drive strategy and execution
- Mentor and develop Staff and Principal engineers, raising the technical bar across the organization
- Represent Docker's security architecture externally through blog posts, conference talks, standards bodies, and technical community engagement
- Participate in executive-level discussions, providing architectural perspective on business decisions
- Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability
WHAT YOU'LL BRING
DOMAIN EXPERTISE
- 12+ years of software engineering experience specializing in build security, software supply chain security, or SDLC tooling
- Deep understanding of build process threat models across dependencies, environments, artifacts, and pipelines, along with effective mitigations
- Architectural experience in artifact signing, attestations, SBOMs, dependency security, CI/CD security, base image trust, or vulnerability intelligence
- Practical knowledge of supply chain security frameworks and standards
- Expertise in API design, service architecture, and scalable system integration
- Proven record delivering large-scale distributed systems for millions of users and enterprise customers
- Experience with major cloud platforms (AWS, GCP, Azure) and modern infrastructure
- Bachelor's degree in CS, Engineering, or equivalent practical experience
STRATEGIC AND BUSINESS IMPACT
- Proven track record creating strategic technical plans that enable revenue, expansion, or enterprise deals
- Experience converting business strategy into technical architectures and roadmaps
- Understanding of SaaS business models, enterprise sales, and how security impacts commercial outcomes
- Experience leading build-vs-buy decisions for core platform components
LEADERSHIP AND INFLUENCE
- Ability to lead large, cross-company technical initiatives across multiple engineering teams
- Experience partnering with VPs and executives to define and execute technical strategy
- Proven ability to influence technical direction and build consensus without direct authority
- Strong communication skills for presenting to executives and driving organization-wide alignment
- Experience mentoring senior engineers and developing technical leaders
ENTERPRISE CONTEXT
- Experience building products that serve enterprise customers with complex security and compliance requirements
- Knowledge of enterprise security requirements and compliance frameworks such as SOC 2 and ISO 27001, and their architectural implications
- Understanding of how enterprise security teams evaluate, procure, and operate tooling
PREFERRED
- Scale experience at a security, developer tools, or infrastructure software company
- Experience with containers (Docker, Kubernetes) or developer platforms
- Experience with complex enterprise billing, contracts, usage pricing, and revenue recognition
- Proven ability to migrate legacy systems without disrupting business operations
- Contributions to open-source security tools or supply chain security standards
- Recognized technical leader via speaking, publishing, or open-source work
- Advanced degree in CS, Engineering, or a related field
WHAT SUCCESS LOOKS LIKE
Security Posture
- Artifacts produced through Docker carry verifiable provenance by default, not by opt-in configuration
- Build-time threat classes are addressed architecturally rather than through detection after the fact
- Developers keep security controls enabled because the controls are fast and unobtrusive
Business Enablement
- Security and governance capabilities directly unblock enterprise revenue
- New product SKUs launch in weeks instead of months through the billing platform
- Usage-based billing supports monetization of new security and AI product lines
Platform Leverage
- Product teams ship enterprise-ready, secure-by-default features in under two weeks rather than months
- Shared security primitives replace fragmented per-product implementations
- Platform systems achieve 99.9%+ uptime for business-critical workflows
Organizational Impact
- Recognized across Docker as the definitive technical authority on build and supply chain security
- Multiple Staff and Principal engineers developed who can own major domains
- Docker's voice carries weight in the external supply chain security conversation
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $219K – $352K + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: England; Portugal; Spain; Italy; France; Germany
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
About the role:
We are seeking an experienced Sales Operations Manager to join our Revenue Operations team who are responsible for optimizing the success of Docker's Sales & GTM teams to accelerate our revenue growth.
Your primary focus will be supporting our global Sales organisation, with a focus on EMEA and APAC. You will build and streamline sales processes and systems, design territories and segmentation models, support forecasting and pipeline inspection, manage quota models, and manage projects from conception to release. You will work alongside GTM leadership to define, build and document processes and overall sales strategy and planning, and partner with the dedicated Operations owners for BDR, SE, TAM, Renewals and Channel where your work overlaps with theirs.
An ideal candidate is a start-up builder who has experience working with Sales teams and has worked closely with Salesforce, Gong, ZoomInfo, RingLead and LinkedIn Sales Navigator. This role reports to the Director of Sales Operations and is based in EMEA.
In this role, you will:
- Support the global Sales leadership team, with a focus on EMEA and APAC, in running their business
- Design and maintain territory and segmentation models, and document account engagement models, with a focus on EMEA and APAC
- Support forecasting processes and pipeline inspection, working with Sales leadership to ensure good forecast hygiene and accuracy in Gong
- Help manage GTM quota and compensation models
- Assist in the fiscal year planning cycle
- Partner with the dedicated Operations owners for BDR, SE, TAM, Renewals and Channel to ensure aligned processes, quotas and territories across teams
- Manage and prioritise implementation of key projects including scoping of requirements, writing business requirement documents, collaborating with cross functional teams, and working alongside the business systems team to build, test and roll out new processes
- Manage and maintain the sales technology stack, ensuring data integrity and system efficiency, and owning vendor relationships
- Optimize the sales process and ensure a smooth deal flow from lead generation through to deal closure and repeat renewal
- Identify and implement continuous process improvements to enhance productivity and performance
- Analyse data to identify trends and areas of opportunity, and provide insights and recommendations to leadership
- Cultivate strong relationships with key stakeholders across various GTM departments
- Contribute to efforts around data quality, integrity, standardisation, and controls that ensure accurate reporting and forecasting
Requirements:
- 4+ years of experience in Sales Operations
- Experience working for a high growth software/SaaS company
- Prior experience in territory and segmentation design, quota modelling and fiscal year planning
- Prior experience in forecasting and pipeline management
- Knowledgeable in managing projects including writing project plans, business requirement documents, business summaries and user acceptance testing
- Track record of defining operational processes and collaborating with technology teams for successful implementation of projects
- Exceptional communication and interpersonal skills
- Technically savvy with Google Suite, Salesforce, Gong, ZoomInfo, RingLead and LinkedIn Sales Nav
- Ability to think strategically and translate business needs into actionable plans within a fast paced environment
- Comfortable and familiar with cross-functional collaboration
- Able to work autonomously, with a constant focus on building for the future
- Energy, enthusiasm, and love of building
Additional attributes:
- Experience in one or more of BDR, Renewals, TAM, SE, SA, Customer Experience, Channel or Provisioning operations
- Strong analytical skills with experience in data analysis and reporting tools
- Experience in building AI agents
- Comfortable with new technologies and ability to communicate with those who are tech-savvy
What to expect in the first 30 days:
- You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program
- You will learn how to navigate through award-winning sales tools such as Salesforce, Gong, ZoomInfo, RingLead, LinkedIn Sales Navigator, and Docker
- Identify areas of improvement in our systems and processes that will assist the Sales team to be more successful
- Review existing processes and metrics to identify areas of improvement
- Begin building strong cross functional relationships
What to expect in the first 60 days:
- Begin taking on projects and working with the relevant cross functional teams to scope and build
- Take ownership of tools within the tech stack and start scoping refinements and improvements
- Build documentation to support new and existing processes
- Start implementing improvements to assist with data integrity and accuracy
What to expect in the first 90 days:
- Assist in scoping future quarter priority projects
- Have full ownership of various key projects related to the Sales & GTM org and the supporting systems
- Build scalable and repeatable processes to assist the Sales & GTM org
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Europe: €100,000 – €124,000 + equity
England: £85,000 – £105,000 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: United Kingdom
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
ABOUT THE ROLE
Docker’s Professional Services team partners with customers to turn AI and cloud-native deployments into working production outcomes.
We are looking for a technically fluent Delivery Program Manager to operate delivery engagements. You will be embedded as an overlay alongside technical sales, solution architects, forward deployed engineers, and delivery partners, translating customers’ technical and business requirements into scoped service engagements and managing them through delivery.
You will be both builder and operator: designing repeatable service offerings where none exist today, and equally willing to roll up your sleeves to scope a detailed Statement of Work or unblock a stuck engagement. If you thrive in ambiguity, love building order from chaos, and operate with high autonomy and low ego, this role is for you.
WHAT YOU'LL OWN
DELIVERY OPERATIONS
- Operationalize the end-to-end engagement lifecycle, from scoping and kickoff through delivery, handoff, and retrospectives.
- Directly manage customer engagements: plan, run governance cadences, track milestones, manage risks and dependencies, and escalations.
- Review technical assumptions in scopes and SOWs with solution architects (environments, integrations, identity, network and security constraints, customer prerequisites) so estimates and timelines hold up in delivery.
- Own customer readiness and handoff: environment prerequisites, acceptance criteria, and clean transition to Support and Technical Account Managers.
OFFERINGS AND REUSABLE ASSETS
- Partner with solution architects to create reusable delivery assets: playbooks, runbooks, statement of work templates, reference architectures, and onboarding workshops/guides.
- Turn repeatable customer patterns into packaged, fixed-scope offerings with defined outcomes, durations and pricing inputs.
- Build and maintain the sales-cycle engagement model and intake process for when and how Services are engaged across sales stages.
GOVERNANCE, TOOLING, AND METRICS
- Build the program management and governance infrastructure: intake frameworks, capacity planning models, risk registers, delivery dashboards, and milestone tracking.
- Define and report delivery KPIs: on-time delivery, utilization, engagement margin, customer satisfaction.
- Own SOW amendment and change-order processes: define when and how scope changes are documented, approved, and reflected in project tracking.
- Partner with Legal on SOW frameworks and language.
WHAT WE'RE LOOKING FOR
REQUIRED QUALIFICATIONS
- 8+ years of experience in technical program management, professional services, forward deployed engineering services or equivalent cross-functional roles.
- Experience at a B2B SaaS, developer tooling, or infrastructure software company delivering implementation, migration, or adoption engagements to enterprise customers.
- Demonstrated experience building programs, processes, or practices from scratch not just optimizing existing ones.
- Strong technical fluency: comfortable participating in systems architecture discussions, understanding system dependencies.
- Strong structured problem solving, facilitation, and systems thinking, including participation in
- Experience with Professional Services tooling and business systems (e.g., Salesforce, NetSuite, PSA tools)
- Exceptional written and verbal communicator able to produce executive-grade program readouts and customer-facing documentation alike.
- High degree of personal accountability; comfortable owning ambiguous problems with limited oversight and providing value-added improvements.
Preferred Qualifications
- Professional services, consulting, or delivery experience at an infrastructure software vendor or systems integrator.
- Experience self-serving data and analytics (Looker, Tableau, or similar) to build performance reporting.
- Prior experience scaling a Professional Services or delivery organization or a support services operation through a growth or transformation phase.
- Experience building engagements with third-party partners and system integrators within professional services delivery models.
WHY THIS ROLE
Building a PS function from the ground up is rare. This is an opportunity to shape how Docker serves its most strategic customers, define what great looks like for technical delivery, and leave a lasting operational footprint on a high-growth organization. You will have broad scope, executive access, and the room to build something that matters.
What to Expect in the First 30 Days
- Shadow: join scoping calls and review active projects.
- Audit the existing SOW process and template library to identify gaps in standardization, approval routing, and tracking.
- Meet your key partners: Sales Engineers, Solution Architects, Forward Deployed Engineers, Technical Account Managers, Finance and Legal.
What to Expect in the First 60 Days
- Manage first customer engagement directly, with support from the existing team.
- Identify the highest-priority SOW template gaps for standardization.
- Document the current delivery framework as it exists today capturing what's working, and what needs to change.
What to Expect in the First 60 Days
- Autonomously managing customer engagements.
- Support leadership with quarterly review cycles on active engagements and retrospectives.
- Translate process gaps into actionable workstreams with clear owners, timelines, and accountability.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
EU: €74.2K – €106K + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: Australia
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
ABOUT THE ROLE
Docker’s Professional Services team partners with customers to turn AI and cloud-native deployments into working production outcomes.
We are looking for a technically fluent Delivery Program Manager to operate delivery engagements. You will be embedded as an overlay alongside technical sales, solution architects, forward deployed engineers, and delivery partners, translating customers’ technical and business requirements into scoped service engagements and managing them through delivery.
You will be both builder and operator: designing repeatable service offerings where none exist today, and equally willing to roll up your sleeves to scope a detailed Statement of Work or unblock a stuck engagement. If you thrive in ambiguity, love building order from chaos, and operate with high autonomy and low ego, this role is for you.
WHAT YOU'LL OWN
DELIVERY OPERATIONS
- Operationalize the end-to-end engagement lifecycle, from scoping and kickoff through delivery, handoff, and retrospectives.
- Directly manage customer engagements: plan, run governance cadences, track milestones, manage risks and dependencies, and escalations.
- Review technical assumptions in scopes and SOWs with solution architects (environments, integrations, identity, network and security constraints, customer prerequisites) so estimates and timelines hold up in delivery.
- Own customer readiness and handoff: environment prerequisites, acceptance criteria, and clean transition to Support and Technical Account Managers.
OFFERINGS AND REUSABLE ASSETS
- Partner with solution architects to create reusable delivery assets: playbooks, runbooks, statement of work templates, reference architectures, and onboarding workshops/guides.
- Turn repeatable customer patterns into packaged, fixed-scope offerings with defined outcomes, durations and pricing inputs.
- Build and maintain the sales-cycle engagement model and intake process for when and how Services are engaged across sales stages.
GOVERNANCE, TOOLING, AND METRICS
- Build the program management and governance infrastructure: intake frameworks, capacity planning models, risk registers, delivery dashboards, and milestone tracking.
- Define and report delivery KPIs: on-time delivery, utilization, engagement margin, customer satisfaction.
- Own SOW amendment and change-order processes: define when and how scope changes are documented, approved, and reflected in project tracking.
- Partner with Legal on SOW frameworks and language.
WHAT WE'RE LOOKING FOR
REQUIRED QUALIFICATIONS
- 8+ years of experience in technical program management, professional services, forward deployed engineering services or equivalent cross-functional roles.
- Experience at a B2B SaaS, developer tooling, or infrastructure software company delivering implementation, migration, or adoption engagements to enterprise customers.
- Demonstrated experience building programs, processes, or practices from scratch not just optimizing existing ones.
- Strong technical fluency: comfortable participating in systems architecture discussions, understanding system dependencies.
- Strong structured problem solving, facilitation, and systems thinking, including participation in
- Experience with Professional Services tooling and business systems (e.g., Salesforce, NetSuite, PSA tools)
- Exceptional written and verbal communicator able to produce executive-grade program readouts and customer-facing documentation alike.
- High degree of personal accountability; comfortable owning ambiguous problems with limited oversight and providing value-added improvements.
Preferred Qualifications
- Professional services, consulting, or delivery experience at an infrastructure software vendor or systems integrator.
- Experience self-serving data and analytics (Looker, Tableau, or similar) to build performance reporting.
- Prior experience scaling a Professional Services or delivery organization or a support services operation through a growth or transformation phase.
- Experience building engagements with third-party partners and system integrators within professional services delivery models.
WHY THIS ROLE
Building a PS function from the ground up is rare. This is an opportunity to shape how Docker serves its most strategic customers, define what great looks like for technical delivery, and leave a lasting operational footprint on a high-growth organization. You will have broad scope, executive access, and the room to build something that matters.
What to Expect in the First 30 Days
- Shadow: join scoping calls and review active projects.
- Audit the existing SOW process and template library to identify gaps in standardization, approval routing, and tracking.
- Meet your key partners: Sales Engineers, Solution Architects, Forward Deployed Engineers, Technical Account Managers, Finance and Legal.
What to Expect in the First 60 Days
- Manage first customer engagement directly, with support from the existing team.
- Identify the highest-priority SOW template gaps for standardization.
- Document the current delivery framework as it exists today capturing what's working, and what needs to change.
What to Expect in the First 60 Days
- Autonomously managing customer engagements.
- Support leadership with quarterly review cycles on active engagements and retrospectives.
- Translate process gaps into actionable workstreams with clear owners, timelines, and accountability.
Docker does not offer visa sponsorship for this role.
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: Palo Alto, CA or Seattle, WA
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
As agents take on bigger jobs, the infrastructure around them matters more. Docker's answer is to give every agent a strong boundary, make its environment and authority reproducible, and let the work run where it makes sense, from a developer's laptop to the cloud. The Docker AI Substrate team brings that foundation to the enterprise: the largest companies in the world, running agents at scale, with the security, reliability, and control they expect from any critical system. We are a small, senior team at the start of that work. As a Staff Software Engineer here, you will shape the architecture, build the core systems, and run what you build.
Locations: Seattle, WA or Palo Alto, CA.
RESPONSIBILITIES
- Design and build the systems that deploy, release, and operate Docker's agentic platform for enterprise customers, in Go and on Kubernetes.
- Make the platform run consistently across cloud providers and environments, with the security, identity, and network boundaries enterprises require.
- Own the release and supply chain path so every deployment is reproducible, verifiable, and trusted.
- Run what you build: production ownership, on-call, SLOs, incident response, and the operational tooling that keeps it boring.
- Set technical direction with the team's architect and engineering leadership, and work with partner teams across runtime, developer experience, identity, and observability.
- Raise the bar through design review, testing discipline, and mentorship as the team grows.
QUALIFICATIONS
REQUIRED
- You have built and operated a cloud control and management plane. Software that provisions, upgrades, and watches infrastructure for many tenants or environments, in production, with a pager. Experience at a cloud provider, a managed-service vendor, or a platform team that stamps out environments.
- Kubernetes beyond deployment. You have written controllers or operators, understand reconciliation and CRDs, and know why declarative beats imperative at fleet scale.
- Deep in at least one major cloud. Hands-on with compute, networking, identity, and managed services, and able to pick up a second cloud fast.
- Production ownership. On-call, incident response, SLOs, post-mortems. You run what you build.
- Distributed systems design. Fault tolerance, consistency, observability, idempotent reconciliation.
- Go. Professional proficiency. Docker's backend and all of this team's code is Go.
- 10+ years of professional software engineering in infrastructure, platform, or cloud services, with the judgment to set direction for others.
STRONGLY PREFERRED
- Kubernetes resource orchestration and cloud controllers, such as KRO.
- Release engineering and software supply chain: OCI registries, digests, license compliance.
- Private connectivity between cloud accounts: PrivateLink, VPC peering, service endpoints, egress policy.
- OpenTelemetry pipelines with multiple destinations.
- Building managed services.
- Firecracker, microVMs, or other isolated execution environments for untrusted code.
- Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
The Products Team at Docker is looking for a Principal Product Manager to lead components of Docker Sandboxes. You will own and drive this strategic product area from high-level concept design through delivery, adoption, and operation. You will help shape how developers and AI agents use fast, secure, isolated environments across local and cloud workflows. You will work closely with developers inside and outside of Docker, our customers, and our partners to expand our open ecosystem offering and provide value. As the company and ecosystem grow, you will help foster teams eager to continuously build, measure, and learn.
To thrive in this role, you will need experience working with developers, deep technical fluency in systems and developer infrastructure, and prior experience as a software engineer. You will need to understand containers, sandboxes/microVMs, virtualization technologies, hypervisors, the software development lifecycle, and how untrusted or agent-generated code can be safely executed and orchestrated. You will need a relentless drive to try new things and an eye for detail. Your long-term success will depend on your ability to own the product roadmap, earn the trust of the developer community, and scale reliable services. Most importantly, you will need to be comfortable taking ownership of big objectives with big goals, working with a cross-functional team, and maintaining a bias for action.
RESPONSIBILITIES
- You own Docker Sandboxes, its long-term vision, roadmap, revenue, adoption, and results.
- You believe in and can succinctly articulate our customers, their workflows, and their pain points. You empathize with the world they live in and the security, performance, compatibility, and cost constraints they work through.
- You will engage deeply with developers building AI agents, coding environments, CI and testing systems, and other workloads that require secure, isolated execution, finding solutions for today while optimizing for tomorrow's vision.
- You enjoy building infrastructure products that are easy to adopt and use. You will turn complex tradeoffs across isolation, startup time, performance, density, networking, storage, and cost into simple product experiences.
- You are comfortable with ambiguity and will guide product definition, feature prioritization, and scope in concert with engineering, design, security, operations, and go-to-market teams.
- You are a fan of iterative development, working with customers and cross-functional teams to hypothesize, measure adoption and impact, learn from releases, and continually improve the roadmap.
QUALIFICATIONS
- You have deep empathy for the needs of developers and are obsessed with talking to your users.
- You have prior professional experience as a software engineer, ideally in systems, infrastructure, platform engineering, developer tools, or cloud.
- You have strong technical familiarity with sandboxes/microVMs, containers, virtualization technologies, and hypervisors, including the isolation and security boundaries each provides.
- You understand the building blocks of modern developer infrastructure, including Linux, container runtimes, orchestration, networking, storage, APIs, and cloud services.
- You have experience designing, building, or operating systems that execute customer-provided, untrusted, or agent-generated code at scale.
- You are comfortable interacting with a command-line interface and discussing APIs, SDKs, and technical architecture with engineers and developers.
- You have experience building B2B or SaaS products, or a background in public cloud and developer infrastructure.
- You understand software supply chain and software security concerns, including multi-tenant isolation, identity, secrets management, observability, and reliability.
- You can break down complex technical problems into small, releasable, user-valuable features.
- You can explain complex ideas simply and communicate effectively in writing, verbally, and visually across diverse stakeholders.
- You can analyze qualitative and quantitative data to inform decisions, define success metrics, and prioritize investments.
- You have a collaborative approach, experience running products from greenfield to scale, and the ability to work with fast-moving, distributed, cross-functional teams. You are a doer as well as a strategist; we are small and need all hands on deck.
WHAT TO EXPECT
FIRST 30 DAYS
- Get to know Docker: our vision, mission, and values.
- Understand the Docker Sandboxes team's mission, product strategy, and technical architecture.
- Meet the team along with peers across the business unit and company.
- Work closely with designers, researchers, engineers, security partners, and customers to understand user needs and current pain points.
- Work with your manager and team to review and create quarterly goals.
- Understand the product roadmap, key technical and business tradeoffs, and the data available to make data-driven decisions.
FIRST 90 DAYS
- Understand the company's and business unit's product vision and how Docker Sandboxes contributes to it.
- Provide clarity on product vision, target users, priority use cases, and how the team contributes to the overall success of Docker.
- Develop a deep understanding of our developers and customers, how they use isolated environments, and why they choose Docker.
- Shape the team roadmap and product strategy in close collaboration with design, engineering, security, and go-to-market peers.
- Lead the definition of team OKRs and success metrics for the quarter, and provide clear progress reports.
ONE YEAR OUTLOOK
- Lead product initiatives across cross-functional teams that make secure, isolated execution simple and valuable for developers and AI agents.
- Drive the long-term direction of Docker Sandboxes, including improvements to adoption, ecosystem integration, reliability, scale, unit economics, and ARR.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada CA$255,500 - CA$365,000 + equity
United States: $184,100 - $263,000 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Staff Infrastructure Engineer on this team will keep systems running, define what safe, observable, AI-assisted infrastructure operations look like in practice, and set the standard for how the broader engineering organization follows.
WHAT YOU'LL WORK ON
The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like:
- How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back?
- How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously?
- How do we build infrastructure that scales with usage-based billing workloads without manual intervention?
- How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?
RESPONSIBILITIES
- Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability
- Design and maintain IaC (Terraform) for billing system infrastructure on AWS; set module patterns and standards for the team
- Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability
- Define deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation
- Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written
- Identify systemic risks and drive improvements that span team or organizational boundaries
- Lead incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
- Mentor engineers across the team; your technical judgment should raise the floor for everyone
QUALIFICATIONS
- 8+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale
- Deep AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents
- Expert-level Terraform; you've designed reusable module patterns and set standards others follow
- Experience building and owning observability stacks (Datadog, Grafana, or similar) at an organizational level — not just using them
- Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience ownership
- Kubernetes at an operational and architectural level
- A track record of identifying systemic risks and driving improvements that span team or organizational boundaries
- Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement
- Strong written English; at Staff level, written communication is how you scale your influence across teams
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
WHAT SETS YOU APART
You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected multiple teams or systems, and you know how to build consensus and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus.
WHAT TO EXPECT
FIRST 30 DAYS
You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are.
FIRST 90 DAYS
You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and have begun shaping the team's technical direction.
ONE YEAR OUTLOOK
You will be the team's trusted authority on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right, and that standard will be visible beyond this team.
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: United States; Canada
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
As a Senior Security Engineer, Offensive Security, you'll help drive offensive security at Docker, putting our products, platforms, and cloud infrastructure under realistic adversarial testing to surface and drive out attack paths before real adversaries find them. You'll partner with engineering, product, and leadership to turn findings into durable fixes and to shape how security is designed into every Docker product.
You'll apply your expertise in penetration testing, threat modeling, and exploit development to find and eliminate risks across Docker products and infrastructure. Working across cloud infrastructure (AWS, GCP, Azure), containerized environments, and AI/ML products, you'll implement proactive security solutions that scale with Docker's growth.
This role offers the opportunity to help improve security programs at a company whose products are trusted by millions of developers worldwide. You'll work in a fast-paced, technically challenging environment where your security expertise directly impacts both Docker's platform and the broader container ecosystem.
RESPONSIBILITIES:
- Contribute to security initiatives that align with business goals, helping ensure security is a core component of our products and infrastructure
- Support and help implement key security programs such as automated security design reviews, and vulnerability management
- Build deep knowledge of software security and architecture, and act as a go-to resource for engineering teams
- Partner with engineering to design and implement security architecture and controls across Docker products and platforms
- Plan, scope, and execute penetration tests and red-team / adversary-emulation engagements against Docker's products and services
- Develop proof-of-concept exploits and produce clear, risk-rated findings with actionable remediation guidance, then retest fixes to confirm closure
- Build and maintain offensive security tooling and automation to expand testing coverage and repeatability
- Perform security reviews and threat modeling (design, architecture, and code) across Docker products and services, including emerging AI products, and write automated security tests and exploits
- Serve on rotating on-call schedule to respond to security events, investigate threats, and coordinate remediation efforts
- Educate and collaborate with cross-functional teams (e.g., engineering, product) to promote security practices
- Participate in Security Incident response
QUALIFICATIONS
- Have 3+ years in security engineering, including hands-on offensive security and penetration testing across applications and infrastructure
- Possess 2+ years of hands-on development experience in Python or Golang
- Demonstrate deep expertise in authentication, authorization, including technologies like OAuth, cryptography applications and Zero Trust principles.
- Have strong hands-on experience with securing cloud ecosystems (e.g. AWS, GCP, Azure)
- Have hands-on penetration testing experience across SaaS web applications and APIs., including manual exploitation beyond automated scanners
- Are proficient with offensive tooling and techniques such as. Burp Suite, and OWASP frameworks
- Can write security tests and develop exploits and proof-of-concepts that find real vulnerabilities in a product
- Understand AI/ML security risks and mitigations, including prompt injection, data poisoning, model extraction, and adversarial attacks
- Have practical experience using LLMs and agentic tooling to automate vulnerability discovery, reconnaissance, and pentesting workflows
- Have a track record of building security programs and automations from scratch, applying risk-based prioritization
- Have experience performing security reviews and building or improving security review automation
- Have excellent communication skills, allowing you to explain complex security concepts clearly to technical and non-technical stakeholders
- Understand industry standards, and actively keep up with emerging security technologies and models
- Are a team player who drives security change via collaboration and cross-functional partnerships
- Hold offensive security certifications such as OSCP, OSWE, OSEP, GXPN, GPEN, or CRTO
- Have published CVEs, original security research, or conference talks
Bonus if you:
- Have experience with container escape, Kubernetes attack paths, or cloud red teaming
- Have experience testing AI/ML systems for issues like prompt injection, model extraction, and data poisoning
WHAT TO EXPECT
FIRST 30 DAYS:
- Meet with security team and key partners across engineering
- Gain access to team owned systems, and internal documentation
- Complete security awareness training and compliance onboarding
- Review application architecture, tech stack and data flow
- Review risk registry and annual roadmap
- Familiarize oneself with team workflows and processes
- Shadow a fellow security engineer during their on-call/secops rotations
FIRST 90 DAYS:
- Conduct security review on emerging Docker products
- Scope and execute your first penetration test against a Docker product or service
- Actively participate in architecture design reviews with the team
- Contribute to a Security-owned project or initiative
- Collaborate with Docker developers to validate and resolve discovered vulnerabilities
- Enhance incident response capabilities by participating in on-call rotation and post-incident activities
- Create and maintain security documentation and runbooks
FIRST YEAR OUTLOOK
- Contribute to the security roadmap for improving security controls
- Strengthen Zero Trust architecture and least privilege access controls
- Enhance security monitoring and anomaly detection
- Perform security reviews for major product releases
- Own and run recurring penetration tests and adversary-emulation exercises across Docker products, and engage with external researchers
- Support audits and ensure compliance with SOC 2, ISO 27xxx
- Advocate for “security by design” in all product features
- Become well versed in Docker products and emerging AI technologies
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$271,150 – CA$434,000 + equity
United States: $194,150 – $312,950 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
As a Sr. Technical Recruiter on a 6-month contract, you’ll play a key role in scaling our engineering and product teams by finding top-tier talent across the globe. We’re looking for someone who is strategic, resourceful, and passionate about providing a best-in-class candidate experience while delivering results in a fast-paced, fully remote environment.
WHAT YOU’LL DO
- Partner closely with hiring managers in engineering and product to understand hiring goals and build scalable recruiting strategies
- Own and manage the full-cycle recruitment process—from sourcing to closing
- Build and maintain talent pipelines across critical roles, proactively identifying and engaging with top candidates
- Guide hiring teams through effective, inclusive interview processes and ensure alignment throughout
- Provide clear, data-driven updates and insights to stakeholders on candidate pipelines and recruiting performance
- Drive exceptional candidate experience through thoughtful communication and engagement
- Contribute to process improvements and recruiting initiatives in a collaborative, remotely distributed team environment
WHAT YOU’LL BRING
REQUIRED:
- 5+ years of full-cycle technical recruiting experience in high-growth, fast-paced environments
- Proven success hiring engineering, product, and other technical roles at all levels
- Demonstrated success sourcing, engaging, and closing top talent across multiple countries and time zones
- Deep sourcing expertise using platforms like LinkedIn Recruiter, Juicebox and creative outreach strategies
- Strong influencing and stakeholder-management skills with the ability to drive hiring outcomes collaboratively
- Exceptional organizational skills and attention to detail, with the ability to manage multiple requisitions and prioritize effectively in a dynamic asynchronous environment
- Experience using AI to streamline processes and increase efficiency
PREFERRED:
- Experience with Ashby (ATS) or similar recruiting systems (bonus for AI tools)
- Familiarity with diversity sourcing strategies and inclusive hiring practices
- Prior experience supporting hiring in a globally distributed company
Docker does not offer visa sponsorship for this role.
#LI-Remote
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
We're looking for a Senior Manager, Business Systems to lead our Salesforce development and administration team and drive the architecture, roadmap, and day-to-day operational health of our Salesforce instance. This is a hands-on technical management role: you'll manage a team of Salesforce developers and administrators, stay close to code and configuration, and also own a small set of adjacent RevOps tools that round out the GTM systems stack. You'll report to the Director, Business Systems and partner closely with Sales, Operations, Marketing, Customer Success, Finance, and Security leadership.
RESPONSIBILITIES
- Manage and grow a team of Salesforce developers and administrators, including hiring, performance management, career development, and day-to-day prioritization of their work
- Own the Salesforce platform roadmap across Sales Cloud, Service Cloud, CPQ, and integrated third-party systems, balancing production support, technical debt reduction, and net-new delivery
- Stay hands-on with architecture and code review for Apex, Lightning Web Components (LWC), Flow automation, and platform security, guiding your team's technical decisions rather than delegating them entirely
- Own the Salesforce DevOps and release management lifecycle: Gearset administration, source control, testing frameworks, CI/CD pipelines, deployment governance, and production change management, including planning around end-of-quarter production freezes
- Pair heavily with the Technical Architect to execute against their architectural roadmap, with dotted-line accountability for delivering their priorities through your team while retaining direct management authority over your reports
- Maintain governance over Salesforce data architecture, security model, sharing rules, profiles, permission sets, and integration/service account hygiene across connected systems
- Own or co-own supporting integrations between Salesforce and platforms
- Own a set of adjacent RevOps tools outside Salesforce (e.g., Gearset, Gong, Loom) and coordinate with other owners
- Manage Agentforce, Slackbot, AI skills, and other AI-driven Salesforce offerings, and evaluate new AI-driven workflow opportunities on the platform
- Partner with GTM stakeholders to gather requirements and translate business needs into technical solutions delivered by your team
- Set team standards for documentation, testing, and change management, and enforce operating rules for high-risk changes (e.g., Closed/Won opportunity edits, ownership changes) to protect data integrity and downstream automation
- Escalate and resolve complex production issues, serving as the team's senior technical point of contact
QUALIFICATIONS
- 5+ years total hands-on Salesforce development experience in enterprise environments and people management
- Deep expertise with Apex, Lightning Web Components (LWC), SOQL/SOSL, Salesforce APIs, Flow automation, and platform security
- Experience with Salesforce CPQ and billing systems
- Experience with RevOps or quote-to-cash processes
- Strong understanding of Salesforce DevOps and CI/CD practices (Gearset or similar)
- Experience working in high-growth SaaS or technology companies, ideally supporting a globally distributed GTM organization
- Strong analytical, communication, and problem-solving skills; comfortable balancing people management with hands-on technical work
NICE TO HAVE
- Salesforce Platform Developer I or II, or Salesforce Administrator certification
- Familiarity with NetSuite and quote-to-cash business processes and Mulesoft
- Familiarity with data warehousing, analytics, or AI-driven workflows
- Experience supporting global sales organizations
WHAT TO EXPECT
FIRST 30 DAYS:
- Meet your direct reports and the broader Business Systems team; build 1:1 cadences
- Assess team workload, skill gaps, and open production support items
- Get up to speed on the Salesforce instance, code base, best practices, and current roadmap
- Introduce yourself to cross-functional stakeholders the Salesforce team supports
FIRST 60 DAYS:
- Dive deep into the technical architecture to evaluate performance and identify refactor opportunities
- Establish a regular working cadence with the Technical Architect to align on roadmap priorities and execution ownership
- Engage with key stakeholder leaders across the organization
- Establish or reinforce best practices to keep the instance performant, secure, and scalable
ONE YEAR OUTLOOK:
- Have a high-performing, well-supported team delivering to roadmap independently
- Own the Salesforce ecosystem as it relates to third-party tooling, integrations, and upstream/downstream dependencies
- Be the go-to subject matter expert for the Salesforce instance and its surrounding systems
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$177,800 – CA$254,000 + equity
United States: $128,100 – $183,000 + equity
______________________________________________________________________
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.
______________________________________________________________________
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.
#LI-REMOTE
УдалённоseniorSan Francisco, CA or Seattle, WA
Зарплата не указана
УдалённоSan Francisco, CA or Seattle, WA
Зарплата не указана
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