Senior/Lead Product Manager - Core AI Platform

About the Role

As a Senior/Lead Product Manager – Core AI Platform, you will own the vision, roadmap, and execution for the Core Agentic AI Platform that powers all interface.ai products.

This is a foundational, deeply technical role. You will define the platform primitives that enable:

• Core agentic behavior (planning, goal routing, memory, context switching, tool use)
• Safe and compliant AI operation in regulated environments (PII controls, auditability, policy enforcement)
• Scalable, low-latency inference and multi-model orchestration across voice and chat experiences
• Continuous model iteration (evaluation, benchmarking, prompt/model optimization loops)
• Expansion beyond a single vertical by building reusable, configurable platform capabilities

You will partner tightly with Core AI Engineering, Research, Product Engineering, Design, and GTM/Delivery teams to turn platform capabilities into measurable product outcomes.

Key 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.

 Required Qualification

• 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 Qualification

• 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.

 

Competitive salary, bonus, and equity. (Compensation may vary based on skills and location.). Base Salary Range 200-240k

Benefits

💡 100% paid health, dental & vision care
💰 401(k) match & financial wellness perks
🌴 Discretionary PTO + paid parental leave
🏡 Remote-first flexibility
🧠 Mental health, wellness & family benefits
🚀 A mission-driven team shaping the future of banking