Docker, Inc

Infrastructure Engineer

• Define and own the long-term technical strategy for Bridge including Billing, IAM, Data, Operations, and Platform Infrastructure.
• Operate as a strategic partner to executive leadership, proactively identifying platform capabilities and constraints that shape product and business decisions.
• Anticipate infrastructure needs 12–18 months ahead of product demand, initiating foundational work before the business surfaces the requirement.
• Drive cross-functional initiatives to unlock new business models, pricing strategies, compliance requirements, and enterprise go-to-market motions.
• Establish Bridge platform as a durable competitive advantage through reliability, developer self-service, and enterprise flexibility.
• Architect and oversee development of scalable, highly available infrastructure spanning billing and subscription management, identity and access management, data pipelines, and core platform services.
• Lead technical decisions around build vs. buy, vendor selection, and platform integration strategies across all five domains.
• Ensure platform supports complex enterprise requirements including multi-seat licensing, usage-based billing, SSO/SAML/OIDC, granular policy hierarchies, and sophisticated financial reporting.
• Champion engineering excellence: API-first design, zero-trust security posture, microservices architecture, and cloud-native operational practices.
• Own end-to-end reliability, driving 99.9%+ uptime across billing-critical and identity-critical systems.
• Lead and grow a high-performing organization of 30+ engineers and managers across Billing, IAM, Data, Operations, and Platform Infrastructure.
• Foster a culture of technical excellence, psychological safety, and deep customer empathy across all Bridge teams.
• Mentor engineering managers and senior ICs, developing the next generation of technical leadership within the organization.
• Partner with Talent Acquisition to recruit top-tier engineering talent across a competitive market.
• Establish robust operational practices ensuring platform reliability, security, and compliance across all Bridge systems.
• Implement comprehensive monitoring, alerting, and incident response procedures, with clear SLAs and escalation paths.
• Drive compliance initiatives including SOX, PCI DSS, GDPR, and evolving international tax and data residency requirements.
• Define and track success metrics across all five domains, creating transparency with stakeholders and leadership.
• Collaborate with Product Management to translate business requirements into durable platform capabilities rather than one-off solutions.
• Work with Finance to ensure accurate revenue recognition, billing operations, and forecasting capabilities at scale.
• Partner with Sales and Customer Success to enable complex enterprise deal structures, custom contracts, and customer-specific billing requirements.
• Support Marketing and Growth teams with experimentation infrastructure for pricing, packaging, and conversion optimization.

VP, Infrastructure Engineering

Machine Learning Engineer

• Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
• Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
• Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
• Set technical direction for the team's ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
• Help recruit, mentor, and shape the team as it grows.
• This role may require participation in a 24/7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate

ML Engineer

• Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
• Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
• Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
• Set technical direction for the team's ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
• Help recruit, mentor, and shape the team as it grows.
• This role may require participation in a 24/7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operate.

Staff ML Engineer

Salesforce Developer

• Design, develop, test, and deploy scalable Salesforce solutions across Sales Cloud, Service Cloud, and integrated third party systems.
• Lead the architecture and implementation of Salesforce customizations including Apex, Lightning Web Components (LWC), Flows, integrations, and platform automation
• Partner with stakeholders across GTM and Operations teams to gather requirements and translate business needs into technical solutions
• Improve and maintain Salesforce data architecture, security model, sharing rules, profiles, permission sets, and governance standards
• Build and support integrations between Salesforce and external platforms such as MuleSoft, NetSuite, CPQ, ERP, marketing automation, customer support, and data platforms
• Drive platform optimization, technical debt reduction, and continuous improvement initiatives
• Own the Salesforce DevOps and release management lifecycle while establishing engineering best practices, including Gearset administration, source control, testing frameworks, CI/CD pipelines, deployment governance, production change management, and technical documentation.
• Participate in roadmap planning and provide technical leadership for strategic Salesforce initiatives
• Manage Agentforce, Slackbot, AI skills, and other AI Salesforce offerings.
• Troubleshoot complex production issues and implement scalable long-term solutions

Senior Salesforce Developer

Account Executive

• Own and close all sub-$30K Gross ARR opportunities across the America Strategic account base, including new add-ons, small expansions, and standalone Docker Hardened Images (DHI) deals
• Meet monthly and quarterly sales targets for sourced qualified opportunities and closed business
• Accurately forecast business on a monthly and quarterly cadence using Salesforce
• Partner with Strategic AEs to identify and triage small opportunities within their accounts, ensuring seamless handoffs and consistent customer experience
• Collaborate with Technical Account Managers and Solutions Engineers to navigate technical requirements and accelerate deal closure
• Engage with procurement teams and channel partners across Amer markets to drive transactions to completion, navigating varied purchasing processes and compliance requirements
• Respond to and qualify incoming inquiries regarding Docker products within the ~$30K segment
• Spearhead the adoption and expansion of Docker within our existing customer install base by identifying upsell and cross-sell opportunities
• Share customer feedback with Product, Marketing, and Sales leadership to inform roadmap and campaign priorities
• Maintain disciplined Salesforce hygiene and pipeline management across a high volume of concurrent opportunities
• Develop deep product knowledge across Docker Desktop, Docker Business, Docker Hub, Docker Scout, Docker Build Cloud, and Docker Hardened Images

Account Executive – Corporate Sales

Sales Operations Manager

• Own the full bidirectional content loop: convert product strategy, PMM output, and competitive intelligence into field-ready playbooks and stage-mapped sales content, and close the loop back to PMM with structured field feedback on what landed and what didn't.
• Report on enablement quality: did the messaging resonate with the audience? Capture field feedback, anecdotally and through data, and surface it systematically back to PMM.
• Maintain centralized, versioned content repositories with clear ownership, refresh cadences, and expiration standards.
• Keep pace with Docker's rapidly evolving product strategy and AI governance motion: the field needs content that reflects where the business is today, while also being forward-thinking.
• Build and own a content and certification framework for the channel ecosystem, ensuring partners have the product fluency, messaging alignment, and sales readiness to represent Docker effectively in the field.
•Partner closely with PMM to prioritize and sequence content development, ensuring enablement is running a deliberate roadmap aligned to business priorities, not reacting to an ad hoc request queue.
• Act as the conduit between what the field is experiencing in the trenches and what the data shows about performance, patterns, and gaps.
• Synthesize qualitative field feedback (what reps are hearing, what's stalling deals, what messaging isn't sticking) with quantitative signals (ramp, conversion, attainment) to set enablement priorities.
• Bring that synthesis to PMM, product leadership, and sales leadership in a form that drives decisions, not just informs them.
• Define and own the common language used for pipeline inspection, deal qualification, and forecast methodology across the global sales organization.
• Ensure MEDDPICC and Command of the Message are embedded into how reps think and how managers inspect, not just how they are trained.
• Build enablement infrastructure that connects sales stage definitions to the field's working vocabulary.
• Design and deploy structured programs to build consistency in how front-line managers inspect pipeline, coach reps, and develop talent.
• Make manager enablement a first-class investment, not an afterthought left to individual discretion.
• Partner with sales leadership to establish shared coaching standards and cadences across regions.
• Own ramp time and time-to-productivity as primary success metrics vs. basing success on training completion rates. Evaluate and determine the most effective delivery model and content architecture, whether live sessions, self-serve resources, or a blended approach. assess what exists today in tools like MindTickle and The Current for impact and currency, and build a system where the right content reaches the right person at the right moment in their development.
• Deliver world-class onboarding for every function. Build a holistic new hire experience that doesn't end at onboarding. Connect initial training to Command of the Message and Docker’s structured career progression framework, with development milestones that evolve by tenure and role, including integration with the Docker Career Acceleration Program (CAP).
• Move fast: onboarding programs should be sharp and continuously improving, not perpetually in progress.
• Design content and certification programs for new hire enablement, CoM, and CAP in a way that is structured and self-contained, so when sales leadership is needed to contribute, the ask is specific, time-bounded, and worth their investment.
• Build a data-driven enablement function with KPIs tied to business outcomes: ramp time, quota attainment, win rates, stage conversion, and productivity.
• Establish a culture of accountability, for the enablement team and for the field, where impact is visible and programs are continuously improved based on evidence.
• Report to sales leadership and the VP of Revenue Operations with the credibility and data to influence decisions.
• Operate as a genuine business partner to sales leadership – assertive, direct, and willing to challenge the field and functional partners when standards are not being met.
• Embed enablement into key sales moments: pipeline reviews, QBRs, deal strategy sessions, product launches, and territory changes.
• Hold field leadership accountable to the standards, frameworks, and inspection disciplines that enablement puts in place, and ensure those standards are maintained.

Director, Sales Enablement

Full-stack Engineer

• Join Docker's Agentic Platform team to build the foundational infrastructure powering the next generation of AI-driven workflows.
• You'll be working on the core agent execution runtime, orchestration primitives, and the cloud infrastructure that keeps the Agentic Platform running 24/7.
• This is a high-ownership role: you won't just build systems, you'll run them, respond when they fail, and drive continuous improvement across the stack.
• This is a greenfield opportunity to shape how agents are built and operated at scale.
• You'll work alongside seasoned engineers, collaborating with partner teams across AI infrastructure, developer experience, and platform reliability.