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interface.ai · 3 days ago

Senior/Lead Product Manager - Core AI Platform

San Francisco / Palo Alto (In-Office)

Full-time

Hybrid

Senior Level, Lead/Staff

$200K/yr - $240K/yr

5+ years exp

interface.ai is building a universal banking assistant that aims to revolutionize customer interactions in finance. The Senior/Lead Product Manager will own the vision and roadmap for the Core Agentic AI Platform, focusing on technical execution and collaboration across various teams to drive measurable product outcomes.

Enterprise SoftwareFinTech

H1B Sponsor Likely

Responsibilities

Define the Core AI Platform Vision and Roadmap

Set platform strategy for the agent runtime layer: multi-agent orchestration, memory/context, tool routing, and policy-aligned behavior

Prioritize platform investments that scale across product lines and enable future vertical expansion

Define clear platform contracts so product teams can reliably build on the platform

Own the Model Lifecycle and Model Evolution Product Surface

Drive the roadmap for model selection, evaluation, fine-tuning enablement, and benchmarking

Partner with engineering to define workflows and requirements for fine-tuning pipelines, dataset strategy, and safe experimentation

Establish decision frameworks for when to prompt-tune vs fine-tune vs switch models, balancing quality, latency, and cost

Inference Performance, Reliability, and Cost

Define product requirements for high-throughput, low-latency inference and runtime efficiency (caching, batching, quantization strategy, token efficiency)

Establish reliability patterns: multi-region deployments, fallbacks, graceful degradation, and safe rollouts (flags/canaries/rollback)

Build cost/latency governance: budgets, monitoring, and optimization priorities across high-scale deployments

Safety, Guardrails, and Compliance by Design

Own platform-level requirements for automated PII detection/masking, prompt/response safety policies, and data handling controls

Drive secure-by-default platform capabilities: tenant isolation, encryption expectations, retention controls, audit logs, and access control requirements

Ensure the platform can support compliance needs (e.g., SOC2/GDPR readiness) through measurable controls and operational rigor

Evaluation Harnesses and Production Quality Loops

Establish the eval strategy and roadmap: offline golden sets, regression testing, online quality metrics, and automated safety checks

Define how teams measure factual accuracy, hallucination risk, task success, latency, and cost efficiency—then make it actionable via tooling and dashboards

Create feedback loops from production to improve prompts/models/policies continuously

Voice / Speech-to-Speech and Multimodal Enablement

Drive platform requirements for real-time conversational intelligence: ASR/TTS integration patterns, latency budgets, and quality metrics (WER, interruption handling, turn-taking)

Prioritize multimodal platform primitives that improve naturalness, responsiveness, and user trust in voice experiences

Cross-Team Alignment and Adoption

Partner with PMs and engineering leads across product lines to drive platform adoption, migration plans, and deprecation/versioning strategy

Translate deep technical constraints into clear product trade-offs and execution plans

Maintain crisp documentation, onboarding paths, and operating rhythms for platform consumers

Qualification

Product ManagementAI/ML ExperiencePlatform DevelopmentTechnical FluencyEnterprise SaaSLLM SystemsVoice/ASR/TTS SystemsCross-Functional LeadershipCompliance KnowledgeDocumentation Skills

Required

5+ years product management experience, ideally on platform, AI/ML, infra, or developer-facing products

Strong technical fluency: able to write product specs for model lifecycle, inference/runtime, evals, and safety systems; comfortable partnering daily with senior/staff engineers

Experience defining platform interfaces and driving adoption across multiple product teams (APIs, versioning, migration strategy)

Proven ability to lead cross-functional execution with measurable outcomes (metrics, dashboards, experiments)

Experience building in enterprise SaaS environments with multi-tenant requirements, governance, and operational rigor

Preferred

Experience with LLM systems, multi-agent orchestration, and evaluation frameworks

Familiarity with fine-tuning, RLHF/RLAIF concepts, and prompt optimization loops (as product domains)

Experience with voice/ASR/TTS systems and real-time latency-sensitive product constraints

Exposure to regulated domains (fintech, healthcare, insurance) and compliance-driven product requirements

Benefits

100% paid health, dental & vision care

401(k) match & financial wellness perks

Discretionary PTO + paid parental leave

Mental health, wellness & family benefits

A mission-driven team shaping the future of banking

Company

interface.ai

Glassdoor3.2

interface.ai is an award-winning out-of-the-box Intelligent Virtual Assistant(IVA) for Banks & Credit Unions.

Founded in 2019

San Francisco, California, USA

51-200 employees

https://interface.ai

H1B Sponsorship

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2025 (3)