Principal Product Manager – AI Platform

Banking is being reimagined—and customers expect every interaction to be
easy, personal, and instant
.
We are building a
universal banking assistant
that millions of U.S. consumers can use to transact across all financial institutions and, over time,
autonomously drive their financial goals
. Powered by our proprietary
BankGPT platform
, this assistant is positioned to
displace age-old legacy systems
within financial institutions and
own the end-to-end CX stack
,
unlocking a $200B opportunity
and potentially
replacing multiple publicly traded companies
.
Ultimately,
our mission is to drive financial well-being
for millions of consumers.
With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate,
we aim to
put financial well-being on autopilot
to help solve this problem.
Company:
interface.ai
Location:
Palo Alto, CA (In-Office)
Reports to:
VP of Product
Compensation:
$250,000 - $295,000 base salary + bonus + equity (depending on location & experience)
About interface.ai
Banking hasn't kept up with how people actually live their financial lives. At interface.ai, we're building AI-native products that transform how millions of Americans interact with their financial institutions, making every interaction intelligent, personal, and proactive.Our platform powers AI agents that handle real banking tasks end-to-end: moving money, resolving issues, converting loans, and surfacing financial insights across voice, chat, and digital channels. We're not building another chatbot. We're building the AI infrastructure that will become the primary way people bank, unlocking a massive market opportunity by displacing the legacy systems that financial institutions have been stuck with for decades.
With two-thirds of Americans living paycheck to paycheck, only 17% financially literate, and 50% holding less than $500 in savings, the urgency is real. We're putting financial well-being on autopilot.
We power AI agents for
100+ financial institutions
, serving
millions of banking members across the U.S.
, and are backed by leading investors including
Avataar Venture Partners and
Blume Ventures.
Our platform enables banks and credit unions to automate high-volume customer interactions across voice and digital channels while improving resolution rates, reducing operational costs, and increasing customer engagement.
Key credibility anchors:

- Series B AI company
building agentic AI infrastructure for financial institutions
- Trusted by 100+ banks and credit unions across North America
- Serving millions of end users through conversational AI across voice, chat, and mobile channels

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.
What We Offer

• 100% company-paid medical, dental, and vision coverage
• 401(k) with company match and financial wellness perks
• Discretionary PTO + paid parental leave
• Mental health, wellness, and family benefits
• Competitive equity with meaningful upside

At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.