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Staff Technical Program Manager

  • Remote, United States
  • Lead
  • Posted 2 weeks ago
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In one line

Staff program manager for a research engineering group, steering machine learning and AI work from research into shipped, reliable products.

About the role

The group advances machine learning and AI capability, and the role spans research, platform, infrastructure, safety and product teams under one roadmap. Senior product and engineering leaders are the main partners.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
Model serving, GPU capacity, Release management
Posted
19 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Lead multi-workstream programs across ML research, platform, infrastructure, safety and product
  • Turn strategy into workstreams, staffing, milestones and clear decisions with product and engineering leaders
  • Define metrics and guardrails for quality, cost, reliability and adoption, and use them to decide
  • Run design and decision forums, surface risks early and keep executives aligned
  • Build planning, review and launch readiness processes that work across teams

What they look for

  • 8 or more years in technical program management, engineering or similar
  • A track record leading org-level ML or platform programs across several teams
  • Technical depth in ML systems: training, evaluation, serving, GPU capacity and releases
  • A technical degree or equivalent practical experience

Nice to have

  • Experience adopting LLM or multimodal models, including evaluation frameworks and switching model providers

How Keywordise applies for you

  1. 1Upload your CVAdd your CV once. It takes about a minute.
  2. 2Tailored to this jobKeywordise writes a CV and a cover letter for this job from your real experience.
  3. 3The form fills itselfName, email, experience and screening questions, field by field.
  4. 4Application sentYou get a receipt and follow it in your dashboard.

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

  1. In Claude, open Settings, then Connectors, and choose Add custom connector.
  2. Name it Keywordise and paste the connector URL.
  3. Click Connect, log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

ChatGPT

  1. In ChatGPT, open Settings, then Connectors. On plans that need it, turn on developer mode first.
  2. Add a new connector with the connector URL and choose OAuth. Leave the client ID and secret empty.
  3. Log in to Keywordise and approve. Then send the prompt in a new chat.
Connector URL
https://keywordise.com/mcp

Disconnect any time in your Keywordise settings.

Muse

  1. Open Muse (muse.ai or the app) and send it the message below.
  2. If Muse asks how to sign in, answer OAuth. Open the sign-in link it sends, log in to Keywordise and approve.
  3. Send the prompt. Muse asks before it sends anything.
Message for Muse
Add a custom connector called Keywordise. It is a remote MCP server at https://keywordise.com/mcp and uses OAuth. Give me the sign-in link.

Muse is available in the US only for now.

Prompt
Apply to Keywordise job xmlu44xzt2
How to connect

Questions about this job

Can I do this job remotely, and from which countries?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: 8 or more years in technical program management, engineering or similar; a track record leading org-level ML or platform programs across several teams; technical depth in ML systems: training, evaluation, serving, GPU capacity and releases. Skills it names include Model serving, GPU capacity, Release management.

How do I apply with Keywordise AI?

Select Apply with Keywordise AI, sign up and upload your CV. Keywordise writes a CV and a cover letter for this job from your real experience and applies for you. The 7-day free trial needs no card.

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