Docker

Lead and manage a business development team focused on outbound prospecting, optimize sales processes, and collaborate cross-functionally to drive revenue growth. | At least three years of enterprise sales development experience, 2+ years in management, experience in SaaS or high-growth software companies, and strong interpersonal and technical skills. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are looking for a Manager, Business Development to lead our NA Business Development team focused on outbound prospecting for our NA sales team. You'll be reporting to our Director of Global Business Development. You will be responsible for leading and managing the performance, metrics, and ultimate success of our BDR team's ability to partner with both of our NA Account Executives to drive pipeline activity. Responsibilities: Carry a team quota; regularly meet and exceed goals Monitor and refine sales lead processes and metrics Manage territory assignments and SDR/AE relationships Hire, recruit, mentor, and develop top Enterprise and Strategic SDRs Develop and own the sales "funnel," continuously optimizing every step Define new processes to increase overall productivity Work collaboratively with Sales, Marketing, and Revenue Operations to refine a repeatable prospecting model for both inbound and outbound efforts. Keep up to date with competition to provide competitive analysis Communicate proactively with management, customers, and support staff Participate in team-building and company growth activities, including strategy setting and training Qualifications: At least three years of enterprise sales development/lead generation experience 2+ years of business development management experience Experience working for a high-growth software/SaaS company Prior success building and leading an enterprise business development team, and experience developing/executing a plan to achieve goals Superb interpersonal and communication skills Ability to influence, train and motivate others Technically savvy Comfortable and familiar with cross-functional collaboration Energy, enthusiasm, and love of selling Additional attributes: Relevant experience in the DevOps, Cloud, or SaaS space Collaboration with internal product teams to drive new solutions that meet buyers' needs Comfort with new technologies and the ability to communicate with those who are tech-savvy What to expect 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, LeadIQ, Outreach, Sales Navigator, and Docker Learn key pieces of information (birthdays, locations, likes/dislikes, etc.) about every team member Do in-depth research on the competition and current market trends Study team reports to become familiar with individual strengths and weaknesses Observe and record the daily activities of team members Make at least one small change to operations based on feedback from the team First 60 days Identify skills gaps within the team Set new, measurable goals for team members based on the reports Make at least one small change to support the team Write a plan of action for the next 30 days First 90 days Strategize for new training/coaching sessions Collect the data needed to project how a new strategy could generate greater payoff Create a structured schedule that implements the proposed changes We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE

Build and scale professional services, drive strategic customer outcomes, and enable cross-functional success. | Extensive experience in SaaS/infrastructure consulting, containerization, Kubernetes, AI workflows, and stakeholder management. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption. As Principal Solution Architect, you'll play a critical role in building and scaling this function from the ground up. This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion. You'll serve as a trusted advisor to our largest and most strategic enterprise customers, providing thought leadership on AI, security, and containerization practices. This starts as an individual contributor role with potential to grow into leading a practice-focused team. Responsibilities Build and Scale the Professional Services Practice • Design reference architectures, technical collateral, and success patterns that accelerate customer adoption. • Create repeatable, monetizable instruments (SOWs, training programs, premium support add-ons) scalable across customers and partners. • Collaborate with product, marketing, and revenue teams to integrate services into GTM motions. • Identify offerings that drive product expansion, renewals, and long-term customer value • Support Partnerships & Alliances in selecting, onboarding, and enabling service delivery partners Drive Strategic Customer Outcomes • Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains • Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions. • Lead technical discovery and scope services engagements • Directly deliver or assign and oversee appropriate delivery partners to deliver service engagements and ensure technical objectives are met Enable Cross-Functional Success • Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines • Translate field insights into actionable product and services strategy, roadmap, and partner capabilities Qualifications Required • 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm • Deep technical expertise in containerization, container and software supply chain security practices, Kubernetes, SDLC architectures, and enterprise-scale developer and production environments • Excellent facilitation and stakeholder management skills with the ability to lead executive-level architecture conversations and have the ability to influence senior stakeholders and drive alignment without formal authority • Hands-on experience with AI/ML workflows, model deployment, and agentic AI deployment in enterprise environments • Direct experience delivering high quality services engagements that deliver customer value while also delivering revenue and ARR growth target objectives as part of a revenue organization • Recognition by enterprise customers as a strategic technical advisor Bonus • Technical training development experience (workshops, certification programs, digital learning) • Background training and enabling system integrators, consultancies, or partner ecosystems • Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government What to Expect First 30 Days • Onboard to Docker’s mission, values, and operating model. • Deeply familiarize yourself with our product portfolio and customers • Build strong partnerships with Product, Engineering, and Sales Functions • Plug into the team’s rhythm of business (standups, reviews, shadow customer engagements) First 90 Days • Scope, define SOWs, delivery, and oversight of customer service engagements • Participate in the creation of reference architectures and technical collateral • Participate in initiatives to build out and improve the services department's offerings One-Year Outlook • Successful delivery and oversight of customer service engagements • Contribute materially to the build-out of Docker’s service offerings • Institutionalize continuous improvement by providing field feedback to the product team We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks • Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days plus end of year Whaleness break • Home office setup; we want you comfortable while you work • 16 weeks of paid Parental leave • Technology stipend equivalent to $100 net/month • PTO plan that encourages you to take time to do the things you enjoy • Training stipend for conferences, courses and classes • Equity; we are a growing start-up and want all employees to have a share in the success of the company • Docker Swag • Medical benefits, retirement and holidays vary by country • Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE

Own and evolve company operating rhythms, lead large-scale initiatives, and align strategy across teams. | 10+ years in business operations or strategy roles, proven experience leading multi-year transformation initiatives, extensive experience with cloud platforms and enterprise infrastructure, and strong leadership and communication skills. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! This is a remote position open to candidates based in the United States, with preference in San Francisco, CA, and Seattle, WA. If you’re located in or near Seattle, WA, we also have an office space available should you prefer to work on-site. As Docker continues to scale across multiple product lines and internal platforms, we are creating a leader of Business Operations role to help shape strategy, drive operational alignment, and strengthen the overall rhythm and effectiveness of the organization. This is a high-impact strategic role responsible for orchestrating complex programs that improve operational efficiency, reduce costs, and establish engineering excellence practices across all of Docker's product and platform teams. This role requires exceptional business acumen aligned to fast-paced; fast-growth technical ecosystems; strategic thinking; and the ability to influence and align stakeholders across the entire organization. You'll work directly with executive leadership to translate high-level business objectives into actionable technical programs while navigating complex interdependencies across Engineering, Product, Finance, Operations, and Go-to-Market teams. Responsibilities Own and evolve the company’s operating rhythm, including planning cycles, business reviews, roadmap forums, and cross-functional execution cadences. Partner with executive and senior engineering leadership to align strategy, priorities, resource allocation, and execution across product and platform organizations. Lead high-impact, company-wide initiatives spanning operational efficiency, cost optimization, technical debt reduction, and large-scale platform or system migrations. Translate strategic business objectives into executable programs and technical roadmaps, driving coordination, momentum, and follow-through across teams. Establish visibility into business, product, and engineering health through metrics, dashboards, reporting frameworks, and actionable operational insights. Design and implement lightweight systems, standards, and frameworks that improve clarity, accountability, and decision-making without adding unnecessary process. Identify and remove friction in the operating model, enabling teams to move faster with confidence in a fast-changing environment. Lead cost management and optimization efforts, including cloud infrastructure efficiency, vendor consolidation, and improved resource allocation. Define and track company-wide measures of operational efficiency and engineering productivity, ensuring outcomes are measurable and visible. Establish and elevate program management excellence, including mentoring TPMs and setting best practices for large-scale execution. Prepare leaders for key decision forums, including board discussions, planning reviews, and product or platform strategy sessions. Support people and culture initiatives that strengthen onboarding, communication, leadership readiness, and organizational health in a distributed environment. Qualifications 10+ years of experience in business operations, strategy & operations, program leadership, or related cross-functional roles, including 4+ years at Staff level or above. Proven track record leading company-wide, multi-year transformation initiatives at high-growth technology companies ($100M+ revenue). Demonstrated ability to design, implement, and operate organizational or company-level operating rhythms (planning cycles, governance, execution cadences). Extensive experience leading large-scale, complex programs (>$5M budgets) involving engineering, finance, operations, and executive leadership. Extensive background in cloud platforms, distributed systems, AI, and enterprise infrastructure, with strong business acumen. Experience with FinOps, cloud cost management, cost optimization, and operational efficiency programs at scale. Strong understanding of SaaS business models, unit economics, and operational metrics, with a data-driven approach to decision-making. Exceptional ability to influence and align senior leaders without direct authority, including experience presenting to executive leadership, Boards, and investors. Proven success establishing company-wide standards, processes, and best practices while navigating organizational change and scaling challenges. Expert-level program management skills, including risk management, dependency coordination, stakeholder alignment, and execution in high-ambiguity environments. Advanced analytical capabilities, including defining success metrics, creating data and reporting visibility, and using data to measure impact and drive outcomes. Exceptional communication, facilitation, and relationship-building skills, with the ability to translate strategy into clear, actionable plans. Leadership style grounded in humility, collaboration, and respect, with a strong track record of enabling others to succeed. Experience working in remote or distributed organizations. What to Expect First 30 Days Learn Docker’s financial model, budgets, major cost drivers, and forecasting processes. Build strong relationships with Finance, Procurement, People, and Engineering leadership. Review current budgeting, spend tracking, procurement, vendor management, and hiring workflows. Assess visibility into costs, headcount, and ROI (cloud, vendors, tooling, hiring). Identify quick wins for cost control, spend governance, or process simplification. First 90 Days Own engineering business operations rhythms: budgets, forecasts, spend reviews, and headcount governance. Lead at least one high-impact initiative (e.g., cloud cost optimization, vendor consolidation). Improve cost and headcount visibility with clear, actionable dashboards. Align hiring plans and spend decisions with business priorities. Introduce lightweight procurement and vendor management standards. Advise executives on financial trade-offs and investment decisions. Deliver early, measurable cost or efficiency gains. One Year Outlook Measure a significant reduction of overhead on engineering leaders for these areas of business focus and increased their value-add partnership as deep owners of their businesses. Drive sustained improvements in engineering cost efficiency and spend discipline. Establish scalable budgeting, forecasting, procurement, and vendor management practices. Create durable systems for headcount planning and hiring prioritization. Improve predictability, transparency, and ROI across engineering investments. Become a trusted partner to executives on planning, trade-offs, and growth decisions. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE

The job involves managing full-cycle recruitment for sales roles in a high-growth, remote environment, including sourcing, interviewing, and negotiating offers. | Requires 5+ years of full-cycle sales recruiting experience across multiple countries, with strong sourcing, negotiation, and influencing skills. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! The Recruiting team is looking for a Sr. Contract Recruiter to manage the full cycle recruitment process with a focus on the sales org. Docker is in high growth mode and we are in need of a strong sales recruiter who is able to recruit talent at all levels. This role will be a 6 month contract. Responsibilities: • Own the strategy and develop a recruiting plan that will expand our talent pool to ensure there is a diverse range of candidates. • Work closely with hiring managers throughout the recruiting process and at times coach and advise based on your knowledge in niche markets. • Participate in full cycle recruiting, including sourcing, interviews, offer negotiations and the close of candidates. • Own and juggle multiple requisitions and balance moving quickly with a great candidate experience. • Use your own judgement on how to best organize, prioritize and execute in a fast paced environment. Qualifications: • 5+ years full-cycle recruiting experience for sales positions in a high-growth environment • Experience working across multiple countries • Sound track record in sourcing qualified candidates, lead development, negotiating offers, and influencing management decision-making. • Demonstrable ability to influence, with an emphasis on transparency and diplomacy • Knows the importance of learning the candidate’s motivations and crafting a dialogue that leads to a yes decision. • Ultimate teammate: willing and excited to roll up your sleeves and contribute to all parts of the recruiting process with a positive attitude Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here.

The job involves full-cycle recruiting for sales positions across multiple countries, focusing on sourcing, interviewing, and offer negotiations. | Requires 5+ years of full-cycle recruiting experience, especially in high-growth environments and across multiple countries, with skills in sourcing, negotiation, and influencing management. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Docker is a remote first company with employees across APAC, Europe and the Americas. This means we value transparency and asynchronous communication, but also understand that meeting in person is important. At Docker, we simplify the lives of millions of developers who are making world-changing apps. Docker helps developers bring their ideas to reality by conquering the complexity of app development. We simplify and accelerate workflows with an integrated development pipeline and application components. A fast-growing startup, Docker offers a dynamic work environment. The Recruiting team is looking for a Sr. Contract Recruiter to manage the full cycle recruitment process with a focus on the sales org. Docker is in high growth mode and we are in need of a strong sales recruiter who is able to recruit talent at all levels. This role will be a 6 month contract. Responsibilities: Own the strategy and develop a recruiting plan that will expand our talent pool to ensure there is a diverse range of candidates. Work closely with hiring managers throughout the recruiting process and at times coach and advise based on your knowledge in niche markets. Participate in full cycle recruiting, including sourcing, interviews, offer negotiations and the close of candidates. Own and juggle multiple requisitions and balance moving quickly with a great candidate experience. Use your own judgement on how to best organize, prioritize and execute in a fast paced environment. Qualifications: 5+ years full-cycle recruiting experience for sales positions in a high-growth environment Experience working across multiple countries Sound track record in sourcing qualified candidates, lead development, negotiating offers, and influencing management decision-making. Demonstrable ability to influence, with an emphasis on transparency and diplomacy Knows the importance of learning the candidate’s motivations and crafting a dialogue that leads to a yes decision. Ultimate teammate: willing and excited to roll up your sleeves and contribute to all parts of the recruiting process with a positive attitude Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here.

Define and operationalize production readiness standards, lead company-wide programs, and establish scalable launch frameworks to ensure secure, reliable, and compliant product releases. | Over 10 years of experience in technical program management or engineering operations, proven success in leading cross-company standards and programs, strong technical background in cloud platforms and distributed systems, and excellent influence and communication skills. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! This is a remote position open to candidates based in the United States, with preference in San Francisco, CA, and Seattle, WA. If you’re located in or near Seattle, WA, we also have an office space available should you prefer to work on-site. As Docker scales its product portfolio and platform capabilities, we are creating a Senior Principal Engineering Operations Program Manager role focused on defining, operationalizing, and scaling expectations of engineering and release excellence. This role owns the cross-functional programs, standards, and operating mechanisms that ensure new products and services are secure, reliable, compliant, operable, and supportable before and after launch. You will partner closely with Engineering, Product, Security, Legal, Platform, and Go-to-Market teams to turn expectations into clear baseline requirements and repeatable execution that is embedded into the technology stack of Docker for consistency, scale, and adaptability. This is a highly strategic, execution-heavy role requiring strong technical judgment, systems thinking, and the ability to influence across the organization without direct authority. Responsibilities Define and operationalize “production readiness” standards across security, reliability, privacy, compliance, operability, UI quality, and platform integration. Design and lead company-wide programs that establish baseline requirements for launching and operating new products and services. Partner with engineering, product, security, platform, product, and go-to-market leaders to align expectations and ownership across the product lifecycle. Translate abstract risk and quality concerns into concrete, actionable requirements, checklists, and decision criteria. Create scalable launch and readiness frameworks that balance rigor with speed in a fast-moving environment. Own cross-functional launch readiness reviews and decision forums, ensuring risks are surfaced early and resolved intentionally. Establish clear visibility into launch health, operational risk, and readiness gaps through SDLC governance, automated guardrails, and lightweight metrics and reporting. Identify systemic gaps in tooling, processes, or ownership that create production risk, and drive remediation programs. Reduce friction for teams shipping products by providing clarity, support institutionalizing requirements and repeatable mechanisms within dev tools, and maintain the need for agility and iterative flexibility. Continuously evolve standards and programs as Docker’s products, customers, and regulatory environment mature. Mentor TPMs and engineering partners on large-scale execution, risk management, and cross-functional coordination. Qualifications 10+ years of experience in technical program management, engineering operations, or platform/production readiness roles, including Staff-level or equivalent scope. Proven success leading cross-company programs that define and enforce engineering or operational standards. Strong technical background in cloud platforms, distributed systems, and enterprise software. Experience partnering with security, engineering, platform, product and go-to-market teams. Demonstrated ability to operate in high-ambiguity environments, turning unclear expectations into clear operating models. Exceptional influence, communication, and facilitation skills across senior technical and non-technical stakeholders. Track record of building scalable, lightweight processes that improve outcomes without slowing teams down. Experience in distributed or remote-first organizations. What to Expect First 30 Days Learn Docker’s product architecture, platform capabilities, and existing launch and readiness practices. Build relationships with Engineering, Product, Security, Legal, Platform, and Go-To-Market leaders. Review recent launches to understand what is currently in place, friction points, and gaps. Identify where expectations for production readiness are unclear, inconsistent, or implicit. First 90 Days Define a clear, shared definition of “production readiness” aligned across stakeholders. Launch one or more foundational readiness programs.. Improve visibility into launch risk and readiness status for leadership. Reduce ad hoc escalation and last-minute launch blockers. One Year Outlook Establish durable, scalable production readiness standards and programs used consistently across teams. Make launches more predictable, lower-risk, and easier to execute at scale (i.e. “readiness diagnostics reporting”, etc.) Reduce production incidents, compliance gaps, and post-launch remediation work. Embed readiness thinking into planning and execution, not just release moments. Be recognized as the owner of “how we safely and responsibly ship” at Docker. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE

Define and implement architecture for AI developer tools and self-service platform, leading technical strategy and building scalable, reliable AI systems. | Deep expertise in AI/ML, extensive experience with LLMs, scalable system design, cloud-native infrastructure, and leadership in AI/ML projects. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Docker seeks a Principal Engineer to define the technical vision and architecture for our new AI Developer Tools team. This is a rare opportunity to establish the technical foundation for how AI will transform developer productivity—both internally at Docker and for our customers worldwide. You'll work at the intersection of AI, developer experience, and platform engineering, architecting cutting-edge AI-powered developer tools and building the platform that enables teams across Docker to rapidly prototype, deploy, and scale their own AI developer tools. As Principal Engineer, you'll own the technical strategy for two critical areas: AI-Powered Developer Tools Architecture: Define the technical architecture for innovative AI agents and tools that accelerate developer productivity, provide observability insights, and automate operational reviews. Lead the design and implementation of tools that make it easier for teams to adopt an AI-native mindset and accelerate adoption of AI developer tools such as Claude Code, Cursor, Warp, or other AI tools as they gain traction within Docker teams. You'll architect tools such as 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 tasks when handling incidents. Self-Service AI Developer Tools Platform: Design and build the foundational platform infrastructure that empowers product and platform teams across Docker to unblock themselves by rapidly prototyping, building, and deploying their own AI developer tools. Establish technical standards, architectural patterns, and best practices that enable teams to experiment with AI solutions for their unique pain points, iterate quickly on tool ideas, and graduate successful prototypes into production-ready services. As internal AI developer tools demonstrate value and gain traction, you'll partner with product and engineering leadership to evaluate productization opportunities—defining the technical architecture for transforming proven internal tools into new commercial offerings for Docker's customers. Reporting to the Director of Platform Infrastructure & AI Developer Tools, you'll collaborate closely with engineering leadership across Docker, the AI Developer Tools Senior Manager, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings. What Would Make Someone Successful in This Role You're a technical leader who excels at the intersection of AI, developer experience, and platform engineering. You have deep expertise in LLM integration, AI agents, and practical applications of AI in developer workflows, with a track record of shipping production AI systems at scale. You think in systems and platforms, designing architectures that enable leverage—building once and enabling dozens of teams to move faster. You understand the nuances of developer tooling and can articulate clear opinions on what makes tools that developers love to use. You have exceptional judgment on when to build custom solutions versus integrate existing tools, and you're comfortable navigating the rapidly evolving AI/LLM landscape. You balance technical excellence with pragmatism, shipping iteratively while maintaining high quality bars. Most importantly, you lead through influence and mentorship, elevating the entire engineering organization's technical capabilities around AI and developer tooling. Responsibilities Technical Leadership & Architecture Define the long-term technical vision and architecture for AI-powered developer tools and the self-service platform that enables teams to build their own AI agents Establish architectural patterns, technical standards, and best practices for LLM integration, AI agent development, and production AI systems serving developers Lead technical strategy for platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools Design highly available, scalable infrastructure for hosting AI agents and developer tools with predictable performance and intelligent resource management Drive technical decisions on AI technology choices, LLM provider strategies, prompt engineering approaches, and agent orchestration frameworks Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities Systems Design & Implementation Architect and build production-ready AI agents for developer productivity including code review assistants, test generators, deployment diagnostics, and incident response automation Design and implement the self-service platform infrastructure that reduces time-to-production for new AI tools from weeks to days Build systems that accelerate adoption of AI-native development tools (Claude Code, Cursor, Warp) across Docker's engineering organization Establish reliability, security, and performance standards for AI systems including SLOs, monitoring, incident response, and cost management Design integration points between AI developer tools and existing developer infrastructure (CI/CD pipelines, observability platforms, deployment systems) Lead technical implementation of AI tools that improve early-stage development metrics (commits, PRs), deployment pipelines, and incident response while maintaining pipeline stability Strategic Impact & Innovation Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks to inform Docker's technical strategy Define technical approach for productizing internal AI developer tools into customer-facing offerings Drive technical standards for measuring AI tool effectiveness including adoption metrics, productivity gains, and developer satisfaction Optimize AI tool performance, cost efficiency, and developer experience through architectural improvements and LLM provider strategies Lead cross-functional technical discussions influencing company-wide AI and developer tooling architecture Leadership & Mentorship Mentor senior and staff engineers on AI/LLM integration patterns, agent development, and platform engineering best practices Lead design reviews and technical decision-making for production AI systems Foster culture of technical excellence, experimentation, and rapid prototyping within AI Developer Tools team Serve as primary technical contact and thought leader for AI in developer workflows across Docker's engineering organization Collaborate with platform teams (Infrastructure, Security, Data) to establish shared technical standards and integration patterns Qualifications Required: 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles Deep expertise in AI/ML technologies with hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools Strong understanding of LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, agent orchestration frameworks, and practical applications of AI in software development workflows Proven track record of architecting and building highly scalable distributed systems and developer-facing platforms Production experience with modern 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 engineering systems, or internal tools that enable other teams Exceptional product and platform mindset considering business outcomes, developer experience, and technical trade-offs Strong communication skills with ability to influence technical and non-technical stakeholders across the organization Track record of technical mentorship and elevating engineering teams' capabilities Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments Comfortable with autonomous work in distributed, remote-first teams across multiple time zones Preferred: Experience with MCP (Model Context Protocol) or similar AI agent integration standards Background in developer productivity, DevOps, SRE, or platform engineering domains Contributions to open source AI tools, developer tooling, or platform engineering projects Experience productizing internal platforms or tools into commercial offerings Deep knowledge of security, compliance, and operational best practices for production AI systems Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure) What to Expect First 30 Days Understand Docker's current AI and developer tooling landscape including Agent Dev project status, existing AI experiments, LLM provider relationships, and technical architecture decisions to date Meet with engineering leadership, AI Developer Tools Senior Manager, and key technical stakeholders across product engineering to understand technical requirements, pain points, and architectural constraints Conduct deep technical assessment of current developer tooling infrastructure (deployment, observability, security) to identify opportunities and constraints for AI tools platform Review existing AI tool prototypes and internal experiments to understand what's working, what isn't, and technical lessons learned Partner with Senior Manager to define initial technical priorities, architectural approach, and 90-day technical roadmap Establish relationships with platform teams (Infrastructure, Security, Data) to understand integration points and shared technical standards First 90 Days Define and document technical architecture for AI Developer Tools platform including system design, technology choices, integration patterns, and operational model Ship first production AI developer tool with architectural patterns and technical standards that will scale to future tools (e.g., AI-powered code review agent, deployment diagnostic agent, or on-call assistance bot) Establish technical foundations for self-service platform including deployment pipeline, observability integration, security controls, and cost management mechanisms Create comprehensive technical documentation, architectural decision records (ADRs), and best practices guides for teams building AI developer tools Lead design reviews and technical decision-making for team's roadmap priorities Mentor engineers on AI/LLM integration patterns, agent development techniques, and platform engineering practices Define success metrics and instrumentation strategy for measuring AI tool adoption, effectiveness, and developer productivity impact One Year Outlook Establish mature technical architecture for AI Developer Tools with multiple production AI agents demonstrating value across Docker's engineering organization Build production-ready self-service platform enabling multiple teams to build, deploy, and operate their own AI tools with minimal friction Define and implement technical standards for measuring AI tool effectiveness including adoption metrics, productivity improvements (commit frequency, PR velocity, deployment times, CI run times), and pipeline stability Lead technical strategy for productizing successful internal AI tools into customer-facing offerings including architecture, security model, and scalability approach Position AI Developer Tools as technical center of excellence for AI in developer workflows with regular technical talks, demos, and knowledge sharing Demonstrate sustained technical leadership impact through mentorship, architectural decisions, and elevation of engineering organization's AI capabilities Define multi-year technical roadmap for AI Developer Tools including advanced agent capabilities, expanded platform features, and emerging AI/LLM technology adoption We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE

Lead and develop a high-performing solutions engineering team to drive technical closure and customer success. | Over 10 years of experience in technical sales or pre-sales for distributed systems or developer platforms, with at least 5 years in management, and deep understanding of containerization, cloud-native architectures, and developer tools. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! As Director, Solutions Engineering, you will lead a high-performing pre-sales engineering organization responsible for driving technical alignment and customer success throughout the sales process. You will collaborate closely with Sales, Product, and Engineering to develop scalable technical sales strategies that help customers realize the full potential of Docker’s platform. Your focus will be on enabling your team to drive technical closure efficiently and consistently while ensuring customers see clear business value. Responsibilities • Lead, develop, and inspire a team of Solutions Engineers, ensuring professional growth and high performance. • Partner with the Sales organization to drive technical closure, guiding solution validation and evaluation to achieve customer success and sales goals. • Establish repeatable processes for discovery, solution design, and proof validation that highlight Docker’s differentiated value. • Collaborate with Product and Engineering to share the Voice of the Customer, influencing roadmap and prioritization. • Develop and execute enablement programs that enhance the technical selling capabilities of both SEs and Sales. • Create an environment of continuous improvement focused on customer outcomes, operational excellence, and innovation. • Work closely with sales leadership to define metrics, performance standards, and success measures for technical sales excellence. • Coach, mentor, and empower your team to engage effectively with enterprise-level customers and communicate complex technical concepts clearly. Qualifications Required: • 10+ years of experience leading technical sales or pre-sales teams for distributed systems or developer platforms. • Proven success in guiding teams that support technologies for software supply chain security, security governance, or developer productivity. • Minimum of 5 years in management, including hiring, mentoring, and scaling high-performing teams. • Deep understanding of containerization, cloud-native architectures, and developer tools. • Strong communication and executive presentation skills, with the ability to build trust across technical and business audiences. Preferred: • Operational experience with Docker, Kubernetes, or similar container-based platforms. • Familiarity with CI/CD pipelines, cloud-native applications, and at least one major cloud provider. • Background in software development or scripting. • Experience enabling developer productivity through coding assistants, AI integrations, or AI agent development. • Bachelor’s degree in Computer Science or related field (or equivalent experience). • Willingness to travel to support key customer engagements. What to Expect 30 Days • Successfully onboard, gaining familiarity with Docker’s platform, customers, and go-to-market strategy. • Establish relationships with your team and cross-functional partners. 90 Days • Develop and align a 12-month strategic plan with Sales and Product leadership. • Begin executing key initiatives focused on improving technical closure rates and sales process efficiency. One-Year Outlook • Scale and enable a high-impact Solutions Engineering organization that drives measurable customer success and revenue growth. • Become a trusted advisor across Sales, Product, and Engineering by championing customer insights and technical excellence. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks • Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days • Home office setup; we want you comfortable while you work • 16 weeks of paid Parental leave • Technology stipend equivalent to $100 net/month • PTO plan that encourages you to take time to do the things you enjoy • Quarterly, company-wide hackathons • Training stipend for conferences, courses and classes • Equity; we are a growing start-up and want all employees to have a share in the success of the company • Docker Swag • Medical benefits, retirement and holidays vary by country Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE

Lead design and implementation of scalable data infrastructure and pipelines, drive technical strategy, mentor engineers, and collaborate cross-functionally to support enterprise-wide analytics needs. | 6+ years software engineering with 3+ years in data engineering, expert Snowflake and DBT skills, strong Python and SQL proficiency, AWS experience, system design expertise, and leadership capabilities. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Docker is seeking a Staff Software Engineer to join our Data Engineering team and drive the technical evolution of data systems that power analytics across the entire company. As Docker continues to scale with millions of developers and thousands of enterprise customers globally, we need a senior technical leader who can design, build, and launch scalable data infrastructure that enables data-driven decision making across Product, Engineering, Sales, Marketing, Finance, and Executive teams. This is a hands-on technical leadership role combining deep individual contribution with strategic thinking and mentorship responsibilities. You'll be responsible for architecting and implementing robust data systems and processes that support Docker's analytic needs while establishing technical standards and best practices for the data organization. You'll work closely with cross-functional teams to understand requirements and deliver data solutions that drive business outcomes. Success in this role requires expert-level technical skills in modern data platforms, strong system design capabilities, and the ability to influence technical direction while mentoring and developing other engineers. You'll play a critical role in scaling Docker's data capabilities as we continue to expand our product portfolio and serve enterprise customers worldwide. Responsibilities Technical Strategy & Architecture Leadership • Define and drive the technical strategy for Docker's data platform architecture, establishing long-term vision for scalable data systems • Lead design and implementation of highly scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma • Architect end-to-end data pipelines supporting real-time and batch analytics across Docker's product ecosystem • Drive technical decision-making around data platform technologies, architectural patterns, and engineering best practices • Establish technical standards for data quality, testing, monitoring, and operational excellence Hands-On Engineering & System Development • Design and build robust, scalable data systems that process petabytes of data and support millions of user interactions • Implement complex data transformations and modeling using DBT for analytics and business intelligence use cases • Develop and maintain sophisticated data orchestration workflows using Apache Airflow • Optimize Snowflake performance and cost efficiency while ensuring reliability and scalability • Build data APIs and services that enable self-service analytics and integration with downstream systems Cross-Functional Collaboration & Requirements Engineering • Partner with Product, Engineering, and Business teams to understand analytics requirements and translate them into technical solutions • Collaborate with Data Scientists and Analysts to enable advanced analytics, machine learning, and business intelligence capabilities • Work with Finance, Sales, and Marketing teams to deliver accurate reporting and operational dashboards • Support customer-facing analytics initiatives and embedded reporting capabilities • Engage with Security and Compliance teams to ensure data governance and regulatory requirements are met Technical Operations & Reliability • Own operational excellence for critical data systems including monitoring, alerting, and incident response • Implement comprehensive data quality frameworks and automated testing for data pipelines and transformations • Drive performance optimization and cost management initiatives across the data platform • Establish disaster recovery and business continuity procedures for business-critical data systems • Lead troubleshooting and resolution of complex technical issues affecting data availability and accuracy Mentorship & Technical Leadership • Mentor junior and mid-level engineers on technical skills, system design, and data engineering best practices • Conduct technical design reviews and provide guidance on architectural decisions • Drive knowledge sharing initiatives including documentation, tech talks, and cross-team collaboration • Establish and promote engineering excellence practices across the data organization • Contribute to hiring and technical assessment processes for data engineering roles Required Qualifications Technical Expertise • 6+ years of software engineering experience with 3+ years focused on data engineering and analytics systems • Expert-level experience with Snowflake including advanced SQL, performance optimization, and cost management • Deep proficiency in DBT for data modeling, transformation, and testing with experience in large-scale implementations • Strong expertise with Apache Airflow for complex workflow orchestration and pipeline management • Hands-on experience with Sigma or similar modern BI platforms for self-service analytics • Extensive AWS experience including data services (S3, Redshift, EMR, Glue, Lambda, Kinesis) and infrastructure management • Proficiency in Python, SQL, and other programming languages commonly used in data engineering • Experience with infrastructure-as-code, CI/CD practices, and modern DevOps tools System Design & Architecture • Proven track record designing and implementing large-scale distributed data systems • Deep understanding of data warehousing concepts, dimensional modeling, and analytics architectures • Experience with stream processing, event-driven architectures, and real-time data systems • Knowledge of data governance, security frameworks, and compliance requirements (GDPR, CCPA) • Strong background in performance optimization and cost management for cloud data platforms Leadership & Collaboration • Demonstrated ability to drive technical strategy and influence engineering decisions across teams • Experience mentoring engineers and leading technical initiatives without direct management authority • Excellent communication skills with ability to explain complex technical concepts to diverse audiences • Track record of successful cross-functional collaboration with Product, Business, and Executive stakeholders • Experience establishing technical standards and driving adoption across engineering organizations Preferred Qualifications • Experience at high-growth technology companies, particularly in developer tools or infrastructure software • Background with container technologies, Kubernetes, or cloud-native development • Knowledge of machine learning platforms and MLOps practices • Experience with additional cloud platforms (GCP, Azure) and multi-cloud data strategies • Familiarity with modern data catalog tools, metadata management, and data lineage systems • Advanced degree in Computer Science, Data Engineering, or related technical field • Experience with customer-facing analytics and embedded reporting solutions • Knowledge of financial data systems and revenue analytics Key Success Metrics • Successful design and delivery of scalable data systems supporting company-wide analytics needs • System reliability and performance metrics meeting enterprise SLA requirements • Cost optimization achievements for data infrastructure while maintaining performance • Technical mentorship effectiveness measured by team growth and knowledge transfer • Cross-functional stakeholder satisfaction with data platform capabilities and reliability • Contribution to data engineering best practices and technical standards adoption Impact You'll Make As a Staff Software Engineer in our Data group, you'll be instrumental in building the data foundation that powers Docker's product innovation and business intelligence. You'll architect and implement systems that enable teams across Docker to make data-driven decisions while creating analytics capabilities that differentiate our products in the market. Your technical leadership will be critical to scaling Docker's data infrastructure as we continue to expand our product portfolio and serve enterprise customers globally. You'll have the opportunity to work on challenging technical problems at scale while directly influencing Docker's data strategy and mentoring the next generation of data engineers. Your contributions will enable millions of developers to build better software through the insights and capabilities your data systems provide. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks • Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days • Home office setup; we want you comfortable while you work • 16 weeks of paid Parental leave • Technology stipend equivalent to $100 net/month • PTO plan that encourages you to take time to do the things you enjoy • Quarterly, company-wide hackathons • Training stipend for conferences, courses and classes • Equity; we are a growing start-up and want all employees to have a share in the success of the company • Docker Swag • Medical benefits, retirement and holidays vary by country Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE

Design and implement core backend systems for AI Gateway including model routing, secure credential storage, policy enforcement, and developer APIs. | 8+ years backend engineering experience with Go and/or Rust, expertise in distributed scalable systems, cloud infrastructure, secure service design, and familiarity with AI/ML platforms. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! 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. Responsibilities 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, 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 Collaborate with product and design to create delightful experiences in our control plane UI Contribute to roadmap planning, technical strategy, and cross-functional alignment Key Problems You’ll Help Solve Build a unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) Implement secure and scalable identity and credential vaulting for tool and model access Create infrastructure to support real-time and historical analytics of AI agent behavior Ensure policy enforcement and logging works end-to-end—from prompt to tool to response Develop seamless developer experiences through intuitive APIs and first-class observability Required Qualifications: 8+ 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 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 We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Quarterly, company-wide hackathons Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE

Plan and conduct user research, communicate insights, manage multiple projects, advocate for user needs, and contribute to research best practices. | 2+ years experience in UX research or related field, preferably with a Master's/Doctoral degree in behavioral research, experience with developer tools, and strong communication skills. | At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! UX Research at Docker is a fast-paced, collaborative team with lots of opportunity for those who are passionate about developer experience. As a member of the UX Research team at Docker, you will partner with Product Designers, Product Managers, Engineers and our community to identify areas of improvement and opportunities for us to explore. Responsibilities: • Plan and conduct exploratory, generative and evaluative user research. • Determine appropriate research methods, define and conduct research across multiple projects. Provide both tactical and strategic insights based on this research. • Communicate insights and recommendations in a consumable, engaging way using artifacts such as reports, journey maps, personas, and other formats as appropriate that guide our team towards a delightful developer experience • Manage multiple projects at the same time • Advocate for user needs throughout the product development process • Educate broader team on research best practices and evangelize research methods and results throughout the organization • Contribute to building best practices, processes, training, documentation, and standards to help evolve the research discipline Qualifications: • Previous exposure to behavioral research methods and ability to translate data and observations into a compelling story that includes recommendations for design • Master's/Doctoral degree in behavioral research preferred as well as experience as a user experience researcher, human factors practitioner, industrial engineer, cognitive engineer, information architect, or similar • Engineering background or previous experience with developer tools preferred • Experience creating repeatable, scalable research methods • Experience with mixed-method research and integrating insights • Excellent communication and interpersonal skills including the ability to present research concepts and insights clearly and persuasively across different audiences at varying levels of the organization. • Knowledge and experience with visual communication and data visualization preferred • Ability to work in a fast-paced, agile environment • Experience building complex products in both B2B, B2C, or B2B2C is preferred • 2+ years of experience required What to expect in the first 30 days: • Onboard with the User Research team • Meet stakeholders and get an introduction to Docker technologies and history • Review and get up to speed on the work you will be supporting • Begin to conduct research activities What to expect in the first 90 days: • Continue learning Docker tools and processes • Define and lead research studies • Synthesize learnings and present findings to your team in an impactful way What to expect in the first year: • Develop deep understanding of Docker customers and domain expertise • Deliver insights that drive customer value and support business objectives • Use customer and product expertise to contribute to product roadmap development • Share best practices with teammates and participate actively in the development of research tools, processes and training materials for the larger organization We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here. Perks • Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days • Home office setup; we want you comfortable while you work • 16 weeks of paid Parental leave • Technology stipend equivalent to $100 net/month • PTO plan that encourages you to take time to do the things you enjoy • Quarterly, company-wide hackathons • Training stipend for conferences, courses and classes • Equity; we are a growing start-up and want all employees to have a share in the success of the company • Docker Swag • Medical benefits, retirement and holidays vary by country Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. Due to the remote nature of this role, we are unable to provide visa sponsorship. #LI-REMOTE