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Lead technical implementations and deployments for enterprise customers, troubleshoot Kubernetes, database, data movement, and API issues, and guide customers through adoption and technical success. Partner with Sales, Product, Engineering, and Support to improve onboarding, influence product direction, identify growth opportunities, and resolve customer needs. Demonstrate Airbyte and AI-ready data practices through technical content, demos, and industry presentations.

Lead enterprise customer implementations and deployments of Airbyte solutions, troubleshoot Kubernetes, database, data movement, and API issues, and guide customers through technical adoption. Partner with Sales, Product, Engineering, and Support to improve onboarding, resolve issues, influence the roadmap, identify growth opportunities, and promote AI-ready data architectures through demos, content, and industry presentations.

Own the full enterprise sales cycle, from prospecting and discovery through technical evaluation, negotiation, procurement, and closing. Build pipeline through inbound, outbound, partner, and strategic account development. Establish relationships with technical and executive stakeholders, quantify business value, lead enterprise evaluations, manage complex commercial processes, maintain accurate forecasts, achieve bookings targets, and collaborate cross-functionally to support adoption and expansion.

Own full-cycle recruiting for technical and go-to-market roles during a six-month contract. Source and assess candidates, coordinate interviews, maintain recruiting pipelines in Ashby, advise hiring managers using market and candidate insights, support offers and negotiations, and improve recruiting processes. The role requires independent execution, strong sourcing skills, familiarity with the San Francisco Bay Area talent market, and the ability to manage multiple searches in a fast-paced environment.

Own and improve infrastructure for the Data Replication platform: Kubernetes, CI/CD, secrets, networking, cloud (AWS/GCP). Drive reliability, observability, AI-augmented tooling, canary rollouts, incident reduction, runbooks, and partner with product engineers.

Build internal platform products and user-facing features across the full stack using React/TypeScript and scalable backend services. Create developer tools, deployment dashboards, observability and automation to improve developer experience, reliability, and operations. Collaborate with SREs, product, and design; mentor engineers and drive platform engineering standards.

Lead and grow a Platform engineering team owning cloud infrastructure, CI/CD, deployment automation, observability, and reliability. Drive platform roadmap, incident response, automation to reduce toil, and adoption of AI-assisted engineering workflows while balancing velocity and long-term architecture.

Own new-business enterprise sales for Airbyte: build pipeline, lead multi-stakeholder technical evaluations, apply MEDDPICC/value-selling, partner with solutions engineering, close deals, and drive expansion across accounts.

Lead customer technical implementations of Airbyte, troubleshoot Kubernetes and data integration issues (SQL, CDC, replication), advise on REST API integrations and LLM/AI tooling, collaborate with Sales/Product/Engineering, drive onboarding and adoption, and create technical content and evangelism for AI-ready data stacks.

Own day-to-day accounting operations and reporting (GL, AP/AR, month-end close) ensuring US GAAP compliance. Manage a Senior Accountant and outsourced accounting team, shorten and automate the close, support audits, apply ASC 606/842, implement accounting systems, partner cross-functionally, and perform variance analysis. Grow to lead the accounting function and drive automation using modern tooling and AI.