Deployment Strategist

TLDR

Lead successful deployments of Luminai's AI-driven solutions in healthcare environments, translating complex workflows into impactful operational outcomes through cross-functional collaboration.

About Luminai

Healthcare operations have always depended on people to bridge the gaps that technology couldn't. It relies on complex manual work to carry out critical internal processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs.

Luminai structures the chaos, automates the manual handoffs, and deploys end-to-end workflows across every system, providing the integrated intelligence layer to improve processes over time. By delegating to autonomous AI systems those mission-critical workflows that previously expended valuable human time, Luminai allows doctors and administrators to do what they do best: Focus on Patients.

We’ve raised significant amounts of capital from the best Silicon Valley VCs: General Catalyst, Peak XV (fka Sequoia India), YCombinator, as well as from investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter), and CEOs of companies such as Flexport, Notion, Front, Ramp and Twitch.

The Role

We’re looking for a Deployment Strategist to own how Luminai is deployed, adopted, and scaled inside customer environments. You’ll work closely with Product, Engineering, and Customer teams to translate complex healthcare workflows into reliable, production-ready deployments that deliver real operational impact.

This is a high-ownership role at the intersection of strategy, execution, and systems thinking. You’ll be responsible for turning ambiguity into clear deployment plans, driving launches across multiple stakeholders, and ensuring customers see value quickly and consistently. Your work will directly influence customer outcomes, retention, and how the Luminai platform evolves.

This is a hybrid position. Our team is in-office 3 days a week (Mon, Tue, Thu) in San Mateo, California.

What You’ll Do

  • Own end-to-end deployments for Luminai customers, from post-sale handoff through launch and stabilization

  • Deeply understand customer workflows, constraints, and operating models to design effective deployment strategies

  • Translate customer requirements into clear execution plans, timelines, and success criteria

  • Coordinate closely with Product and Engineering to scope work, sequence dependencies, and unblock launches

  • Partner with customer stakeholders across Ops, IT, and leadership to drive alignment and accountability

  • Identify patterns across deployments and feed insights back into product improvements and platform abstractions

  • Manage risks proactively, surfacing issues early and driving resolution before they impact customers

  • Run clear communication cadences with customers, including status updates, milestones, and escalation paths

  • Help build and refine deployment playbooks, templates, and processes to scale delivery as Luminai grows

What We're Looking For

  • 3–6+ years of experience in deployment, implementation, solutions, technical program management, or a similar customer-facing role

  • Experience owning complex, multi-stakeholder rollouts in production environments

  • Strong systems thinking and comfort working with technical concepts (APIs, integrations, workflows)

  • Ability to translate ambiguous requirements into concrete plans and outcomes

  • Excellent communication skills across technical and non-technical audiences

  • Strong organizational skills with the ability to manage multiple parallel initiatives

  • Bonus: Experience deploying healthcare software, AI-driven products, or enterprise platforms

Luminai builds advanced automation technology that streamlines long-form workflows across entire organizations using AI. We cater to essential sectors like Healthcare, Finance, and Telecommunication, providing a unique combination of cutting-edge AI capabilities and a dedicated workflow engine to tackle complex operations.

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Salary
$150,000 – $220,000 per year
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