Interface AI

Interface AI

Principal Product Manager – AI Platform

San Francisco · Principal

Sponsorship not specifiedDetected 311 days ago
Machine LearningLLMsRAGAgentic AIAI OrchestrationComplianceProduct ManagementManual TestingLeadership

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You'll inherit a multi component platform, assess what exists, and define what comes next: what to consolidate, what to invest in, what to sunset.
  • As the senior IC in a pillar of 3-4PMs, you'll set technical direction, mentor, and raise the quality bar, while partnering with engineering leadership to scale the system to millions of end users at startup speed.
  • Agent runtime & orchestration: multi-agent orchestration, memory/context management, tool routing, goal planning, and policy-aligned behavior

Responsibilities

  • You will own the AI platform that every product at the company depends on.
  • Your decisions directly determine the ceiling of what every other product team can build.
  • 🤖 Claude Enterprise + frontier AI tools for every employee - build with the best
  • The team is small enough that your judgment shapes everything, and the market is large enough that what you build will matter for a long time.

Requirements

  • You can spec a fine-tuning pipeline, set latency budgets for real-time voice, and debate quantization trade-offs with a staff engineer, all in the same week.
  • Not because someone told you to, but because you can't imagine working any other way.
  • 8+ years in product management, with 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products
  • Experience with AI/ML platforms: LLM orchestration, model evaluation, fine-tuning, RAG, agentic frameworks, or similar
  • Owned a multi-component platform serving multiple product teams, not just a single product
  • Deep technical fluency: can read code, review architecture, and debug production issues alongside engineers
  • AI-native workflow: You build with AI daily - creating agents, automating analyses, prototyping with code, building custom workflows. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts - all count)
  • what matters is that you've moved beyond prompting into building.

Nice to have

  • Experience governing platform contracts and managing how internal teams consume capabilities
  • Built in enterprise SaaS environments with multi-tenant, compliance, and governance requirements
  • Financial services or regulated industry experience
  • Voice/ASR/TTS systems and real-time latency-sensitive products
  • LLM evaluation frameworks, multi-agent orchestration, or RLHF/RLAIF
  • Knowledge graph or RAG-based retrieval systems
  • Built a platform team from scratch

Benefits

  • 🩺 100% paid health, dental & vision care
  • 💰 401(k) & financial wellness perks
  • 🚇 Commuter benefit
  • 💪 Monthly wellness stipend
  • 🌴 Discretionary PTO + paid parental leave
  • 🧘 Mental health, wellness & family benefits
  • Founding-team-tier equity, top-of-market base, comprehensive benefits, and a modern San Francisco office worth showing up to.

Company info

  • Customers are live, revenue is real, and the mission is one you can explain to your family without a slide deck.
  • This is not a support function: the platform is the competitive moat.

Equal opportunity

  • equal opportunity employer.
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This listing is sourced directly from Interface AI's careers page and normalized into a canonical job model.