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Luminai

Senior Product Manager, Platform

Posted 29 Days Ago
In-Office or Remote
Hiring Remotely in CA
Senior level
In-Office or Remote
Hiring Remotely in CA
Senior level
Own the Intelligence and Applied AI product surface, defining 0-to-1 platform capabilities and leading products from discovery through launch and scaling. Develop roadmaps, product specifications, metrics, and processes; partner with engineering, design, sales, and customer success; manage ambiguity; and ensure AI automation products deliver measurable customer value.
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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processes, yet most health systems don’t have enough resources to properly automate these tasks, leaving them stuck in outdated, labor-intensive SOPs.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 $60M in funding, including our recent Series B led by Peak XV Partners (formerly Sequoia India), with participation from healthcare-focused Define Ventures and continued support from General Catalyst and Y Combinator. We're backed by some of the best investors in Silicon Valley, 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.

Our team is in-office 4 days a week (Monday - Friday, Wednesday optional WFH) in either San Francisco, California or New York, New York.

About the role

As a Product Manager working on platform systems, you will play a foundational role in defining the primitives, interfaces and deployment surfaces towards building a capable, reliable AI automation platform. The platform is used by organizations worldwide to deploy and scale executable AI automations in mission critical production environments. You will own the core platform product area, which means drawing the line between what gets built once and reused everywhere and what stays specific to a single customer, and giving the teams that build on top of you a foundation they can move quickly on. You are expected to have a strong proficiency in fundamentals of product management, a willingness to pick up new concepts as needed and an ability to drive technical projects in ambitious environments.

What You'll Do

  • Define what belongs in the platform and what stays bespoke to a single product surface or customer implementation

  • Own the experience of internal engineers and forward deployed teams who build on the platform

  • Drive capabilities that scale across a growing customer base without linear implementation cost

  • Define what the platform guarantees on uptime, latency, failure behavior and auditability

  • Collaborate and contribute on the core product development to deliver higher platform capabilities

  • Work with engineering on observability and monitoring systems to verify platform behavior in critical settings

  • Establish how the team operates while working through early-stage questions that don't have obvious answers yet

  • Enable sales and customer success to speak accurately about what the platform supports

What We're Looking For

  • Proven track record of shipping platform, infrastructure, API or developer facing products in challenging projects

  • At least 5 years of product management experience, including 0 to 1 work

  • Solid fundamentals in distributed systems, cloud architecture and integration patterns

  • Comfort making architectural trade-offs on abstraction, build versus buy, and when to generalize

  • Ability to write detailed product specifications for technical and non-technical audiences

  • Attention to detail and a first-principles thinking towards real world deployment of intelligent systems

  • Founder and ownership mindset, with experience taking products from ideation through launch and scale

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