Principal Product Manager - AI Platform

interface.ai

$150K — $180K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in product management with 3+ years at Staff/Principal level on platforms, AI/ML, or infrastructure products
  • Owned a multi-component platform serving multiple product teams
  • Deep technical fluency to read code and debug production issues alongside engineers
  • Experience with AI/ML platforms including LLM orchestration and model evaluation
  • Governed platform contracts and managed internal team capabilities
  • Built in enterprise SaaS environments with multi-tenant and compliance requirements
  • Daily AI-native workflows, moving beyond prompting to building tools and automation

Responsibilities

  • Own the AI platform that supports all company products
  • Assess existing components and define future consolidation or investments
  • Set technical direction and mentor a team of product managers
  • Partner with engineering to scale the system for millions of users
  • Define and manage APIs, versioning, and migration strategies
  • Ensure inference performance and reliability for product deployments
  • Implement safety and compliance measures as integral, not afterthoughts

Benefits

  • 100% paid health, dental & vision care
  • 401(k) & financial wellness perks
  • Discretionary PTO + paid parental leave
  • Mental health, wellness & family benefits
  • A mission-driven team shaping the future of banking
Full Job Description
The Opportunity

You will own the AI platform that every product at the company depends on. This is not a support function: the platform is the competitive moat. Your decisions directly determine the ceiling of what every other product team can build.

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.

What You'll Own
  • Agent runtime & orchestration: multi-agent orchestration, memory/context management, tool routing, goal planning, and policy-aligned behavior
  • 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.

What You Bring
  • 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


Our Values
  • Act Like You're the Founder: Own the outcome from start to finish
  • No Fear. Speak Your Mind: Candor moves us forward
  • Pursuit of Excellence: Raise the bar, every time
  • AI-First Mindset: Think automation, intelligence, and scale-first in every solution
  • Don't Assume. Seek to Understand: Start with questions, not conclusions


How We Work

Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents - and we onboard every new hire on these tools in their first week. We hold a high quality bar and move at startup speed. Flat organization. No empire-building.

Benefits:
  • 100% paid health, dental & vision care
  • 401(k) & financial wellness perks
  • Discretionary PTO + paid parental leave
  • Mental health, wellness & family benefits
  • A mission-driven team shaping the future of banking

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