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Conduct full-cycle technical recruiting for engineering and product teams on a six-month contract. Partner with hiring managers, source and close global candidates, build talent pipelines, guide inclusive interview processes, provide data-driven recruiting updates, deliver excellent candidate experiences, and improve recruiting processes in a remote environment.

Lead the technical vision and architecture for scalable, secure, high-performance distributed systems. Provide engineering leadership, mentorship, and architectural guidance while driving reliability, automation, CI/CD, security, performance optimization, and technical strategy. Investigate emerging technologies, oversee complex problem-solving, establish engineering standards, and collaborate with product and business stakeholders to align technology roadmaps with organizational goals.

Owns partner and internal sales enablement across channel, hyperscaler, systems integrator, and technology ISV ecosystems. Designs training, certification, GTM content, co-sell plays, account-mapping frameworks, and partner portal programs. Enables field teams and partners around Docker’s AI Governance motion, tracks readiness and pipeline KPIs, and connects enablement investments to revenue outcomes.

Own and scale lifecycle marketing programs across Docker’s Container and AI products. Build email and in-product campaigns, automate PQL and renewal motions, validate audiences and usage signals, manage suppressions, perform QA, monitor launches, troubleshoot data issues, translate technical signals into messaging, and operationalize reporting. Partner with data, sales, renewals, design, and agency teams while sequencing priorities into a scalable lifecycle roadmap.

Manages sales enablement systems, role-specific onboarding, training programs, reporting, and field support for Docker’s GTM organization. Administers Mindtickle and related tools, facilitates new-hire ramp, analyzes Gong and participation data, creates enablement content, coordinates cross-functional training, and presents insights to sales leadership. The role also supports program logistics, tracking, budgets, and continuous improvement.

Drive partner-led growth for Docker’s Mid-Enterprise business by generating pipeline and ARR through resellers, solution providers, VARs, distributors, and cloud marketplaces. Develop scalable sales plays, joint campaigns, account-mapping programs, enablement, and co-selling workflows. Manage partner relationships, pipeline forecasting, opportunity progression, and revenue targets while positioning Docker’s AI Governance solution and collaborating with Sales, Marketing, Solutions Engineering, Customer Success, and Revenue Operations.

Leads operations for Docker’s Seattle office, including facilities, vendors, budgets, workplace experience, access systems, events, onboarding support, and executive or visitor logistics. Partners with People, IT, Finance, leadership, and global office teams to establish scalable processes, maintain safety and compliance, optimize workplace systems, and support office growth. The role requires building operations from the ground up and shaping an inclusive office culture.

Serves as a strategic analytics partner to Marketing, owning funnel, attribution, ROI, account scoring, experimentation, and pipeline analytics. Builds scalable datasets, dashboards, and quality controls while connecting customer, campaign, product usage, CRM, and revenue data. Delivers executive-ready reporting, QBR insights, and recommendations that improve conversion, marketing investment effectiveness, account-based marketing, product adoption, and pipeline growth.

Lead Docker’s global partnerships with major GSIs and SIs, including Accenture, Deloitte, EY, and KPMG. Build executive relationships, develop joint AI Governance offerings, structure referral and resale models, enable co-selling, and drive partner-sourced pipeline and revenue. Collaborate across sales, professional services, product, and marketing while establishing the GSI partnership function, reporting performance, and embedding Docker into AI transformation practices.

Defines the multi-year technical vision and architecture for Docker’s Central Operations and Systems organization. Leads cross-company platform programs, SDLC golden-path development, infrastructure standardization, AI platform enablement, observability, reliability, cost optimization, and systems convergence. Influences executives and engineering teams, drives build-versus-buy decisions, mentors senior technical leaders, and may participate in on-call support.