Docker, Inc

www.docker.com

10 Jobs

941 Employees

About the Company

At Docker, we simplify the lives 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. Actively used by millions of developers around the world, Docker Desktop and Docker Hub provide unmatched simplicity, agility and choice.

Listed Jobs

Company Name: Docker, Inc
Job Title: Account Executive, Strategic (Paris preferred)
Job Description: **Job Title** Account Executive, Strategic **Role Summary** Strategic Account Executive drives revenue and deepens client relationships for Docker’s enterprise customers in France. Focuses on solution selling, cross‑functional collaboration, and long‑term partnership development with C‑suite stakeholders. **Expectations** - Build and sustain high‑value relationships with key decision‑makers, achieving revenue and profitability goals. - Deliver measurable client value through tailored Docker solutions and proactive account planning. - Provide timely, data‑driven sales reports and market insights to internal teams. - Maintain a deep understanding of Docker’s product roadmap and competitive positioning. **Key Responsibilities** 1. **Account Management** – Own strategic client portfolios, manage engagement plans, and serve as the primary point of contact. 2. **Business Development** – Identify upsell, cross‑sell, and expansion opportunities within assigned accounts and territories. 3. **Solution Selling** – Conduct needs analyses, present Docker value propositions, and quantify ROI for customers. 4. **Multithreading & Influence** – Engage multiple stakeholders per account, building coverage maps and securing executive buy‑in. 5. **Target Achievement** – Meet or exceed revenue, quota and profitability targets. 6. **Collaboration** – Partner with marketing, product, renewals and customer success to align go‑to‑market initiatives. 7. **Customer Success Advocacy** – Support onboarding, implementation, and post‑sell enablement; champion customer success stories. 8. **Reporting & Forecasting** – Prepare accurate account plans, sales forecasts, and status reports in Docker’s sales systems. 9. **Market & Product Feedback** – Capture client feedback and relay insights to product and service teams. **Required Skills** - 8–10 years selling complex, high‑value solutions to Fortune 500 enterprises. - Proven track record of meeting/exceeding sales targets. - Executive‑level communication, negotiation, and presentation skills. - Strong listening, stakeholder‑management, and problem‑solving abilities. - Fluent in French (native) and English. - Mastery of the MEDDPICC methodology and Command of the Message framework (preferred). - Ability to manage multiple concurrent account projects with attention to detail. **Required Education & Certifications** - Bachelor’s degree (business, marketing, engineering or related field). - Certified sales methodology training (e.g., MEDDPICC, Command of the Message) – preferred.

Company Name: Docker, Inc
Job Title: Senior Backend/Data Engineer (EU, US - Eastern Time Zone Preferred)
Job Description: **Job title:** Senior Backend/Data Engineer **Role Summary:** Own and develop end‑to‑end backend services focusing on data integrity, scalability, and performance. Design, implement, and operate large‑scale data stores (Postgres, DynamoDB, Elasticsearch, S3) and expose them via resilient APIs. Collaborate with product, data, and cloud infrastructure teams to deliver reliable data services at SaaS scale. **Expectations:** - 30 days: onboard, understand team mission, make a small code change. - 90 days: contribute major changes, demo work in internal product demos, join customer calls. - 1 year: autonomous ownership of an area, drive end‑to‑end features, shape Docker Hub/registry direction. **Key Responsibilities:** - Design, develop, and maintain backend services with a focus on data accuracy, scalability, and speed. - Architect and operate data storage layers (SQL, NoSQL, object stores) for high‑throughput workloads. - Translate product requirements into production‑ready schemas, APIs, and monitoring solutions. - Own the full lifecycle: schema design, deployment, monitoring, and continuous improvement. - Participate in code reviews, CI/CD pipelines, automated testing, and best‑practice enforcement. - Collaborate cross‑functionally with product, data, and cloud operations to optimize performance and reliability. - Automate operational tasks and performance tuning to ensure service resilience. **Required Skills:** - 5 + years building, deploying, and monitoring SaaS services on cloud platforms (AWS, Azure, GCP). - Deep experience with Postgres, DynamoDB, Elasticsearch, and S3 at scale. - Strong data modeling, query optimization, and performance tuning expertise. - Proficiency in at least one backend language/framework (Go primary, with Python/Java/Node.js acceptable). - Solid understanding of software engineering practices: version control, CI/CD, automated testing. - Self‑motivated, organized, able to work independently and across time zones. - Mindset for reliability, automation, and scalability. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience). - No mandatory certifications, but knowledge of SQL/NoSQL, cloud services, and DevOps tools is essential.

Company Name: Docker, Inc
Job Title: Principal Product Manager, Docker Desktop & Core DX (US East Coast preferred)
Job Description: **Job Title** Principal Product Manager, Docker Desktop & Core DX **Role Summary** Lead the product vision, strategy, and execution for Docker Desktop, overseeing all components (Engine, Compose, Build, Model Runner, Testcontainers, Kubernetes integration). Drive cross‑platform excellence (Windows, macOS, Linux) and deliver a seamless developer experience for millions of users worldwide. **Expectations** - **First 30 days:** Onboard, learn the product and team, build relationships with engineering, design, marketing, and sales. - **First 90 days:** Refine and communicate the product vision, conduct user research and data analysis, prioritize roadmap, and release initial improvements. - **One‑year:** Achieve milestones in product development, user satisfaction, adoption metrics, and contribute to overall company growth initiatives. **Key Responsibilities** - Define and drive product vision, strategy, and roadmap. - Engage directly with customers to capture feedback and validate solutions. - Collaborate with engineering and design to deliver high‑quality features on time and within scope. - Analyze performance metrics to inform decisions and optimize user experience. - Monitor industry trends, emerging technologies, and competitive landscape to shape strategy. - Communicate product plans, progress, and outcomes to cross‑functional stakeholders. **Required Skills** - 7+ years of product management experience, including complex desktop applications. - Proven track record managing multi‑platform (Windows, macOS, Linux) products. - Strong technical foundation in containerization, developer tools, and system‑level software. - Excellent communication, influence, and cross‑functional collaboration skills. - Experience in a remote‑first, globally distributed team environment. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field. - Product management certifications (e.g., PMP, AIPMM, Pragmatic Marketing) are a plus but not mandatory.

Company Name: Docker, Inc
Job Title: Senior AI Engineer
Job Description: Job Title: Senior AI Engineer Role Summary: Lead the development and enhancement of Docker’s AI assistant “Ask Gordon,” driving the design, training, fine‑tuning, and deployment of large language models and Retrieval‑Augmented Generation (RAG) pipelines to improve developer productivity at scale. Expectations: - Onboard within 30 days, contribute to model or RAG improvements, and begin evaluating AI performance. - By 90 days, deepen AI system knowledge, enhance evaluation frameworks, and support onboarding of new team members. - In the first year, spearhead significant AI capability upgrades, optimize RAG pipelines, and expand enterprise‑grade features for Docker’s developer ecosystem. Key Responsibilities: - Advance Ask Gordon’s natural language understanding and response accuracy for containerization and development queries. - Design, implement, and iterate a robust RAG system using Docker documentation, code repositories, and technical knowledge bases. - Build evaluation frameworks and metrics to assess model accuracy, hallucination rates, and user satisfaction. - Train, fine‑tune, and optimize domain‑specific language models, leveraging large‑scale datasets and LLM techniques. - Rapidly prototype new AI features, moving concepts to production with minimal lag. - Collaborate cross‑functionally with product, design, and engineering to integrate AI capabilities into Docker Desktop, CLI, and other tooling. - Monitor and enhance AI safety, hallucination detection, and reliability across production deployments. Required Skills: - 3+ years of hands‑on ML/AI experience with large language models. - Proven expertise building and optimizing RAG systems and vector‑semantic search pipelines. - Experience training and fine‑tuning domain‑specific models, including evaluation methodology design. - Strong programming in Go (primary) and Python. - Familiarity with AI orchestration frameworks such as LangChain/LangGraph. - Rapid prototyping and iterative development mindset. - Knowledge of Docker, Kubernetes, or similar developer tooling (preferred). - Understanding of AI safety, hallucination mitigation, and reliability practices (preferred). Required Education & Certifications: - Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related field (or equivalent work experience). - No mandatory certifications required.

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