Principal Product Manager - AI Platform

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., * Platform contracts: APIs, versioning, deprecation, and migration strategy: you define the boundaries and the lifecycle for all consuming teams

• Model lifecycle: selection, evaluation, benchmarking, fine-tuning enablement, and prompt optimization. You define when to prompt-tune vs fine-tune vs switch models.
• Inference performance & reliability: latency budgets, caching, batching, quantization, multi-region deployments, fallbacks, and safe rollout patterns (canaries, feature flags, rollback)
• Safety & compliance: PII detection/masking, prompt/response safety policies, tenant isolation, SOC2/GDPR readiness, audit logs, and encryption: compliance is a product requirement, not an afterthought
• Evaluation & quality: offline golden sets, regression testing, hallucination measurement, task success metrics, and production-to-improvement feedback loops
• Voice & multimodal: ASR/TTS integration patterns, WER, interruption handling, turn-taking, and latency budgets for real-time conversational intelligence
• Pillar leadership: You set technical direction, mentor, raise the bar, and have input on hiring. You prioritize competing demands from multiple product pillars, define the platform investment thesis, and protect the platform from becoming a feature factory.

Who You Are

You think in systems, not features. You read a platform outage postmortem and immediately see the product decision that caused it. You’ve built API contracts that entire product orgs depend on, and you’ve made the hard call to break one when the platform needed to evolve.

You understand the full AI stack: from model training through inference optimization to production monitoring. 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.

You build your own tools. You use AI to prototype, analyze, and accelerate your work - building agents, writing scripts, creating automated workflows, whatever gets the job done fastest. 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
• 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
• Experience with AI/ML platforms: LLM orchestration, model evaluation, fine-tuning, RAG, agentic frameworks, or similar
• Experience governing platform contracts and managing how internal teams consume capabilities
• Built in enterprise SaaS environments with multi-tenant, compliance, and governance requirements
• 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.

Bonus Points

• 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

100% paid health, dental & vision care

401(k) & financial wellness perks

Daily meals on us

Commuter benefit

Monthly wellness stipend

Claude Enterprise + frontier AI tools for every employee - build with the best

️ Brand-new 21st-floor SF office at 44 Montgomery - floor-to-ceiling views, worth showing up to

Discretionary PTO + paid parental leave

Mental health, wellness & family benefits

A mission-driven team shaping the future of banking

Why interface.ai

Series A · $30M raised · Cash-flow positive - we’re not burning cash hoping the product works. It works. Customers are live, revenue is real, and the mission is one you can explain to your family without a slide deck.

You’ll work directly with Bruce Kim (CTO / Co-Founder), who sets the technical bar and goes deep on the hardest problems, and Srinivas Njay (CEO), who is hands-on daily across product and engineering. Founding-team-tier equity, top-of-market base, comprehensive benefits, and a modern San Francisco office worth showing up to. 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.

interface.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees