Interface.ai is building a universal banking assistant powered by its proprietary BankGPT platform to drive financial well-being for millions of U.S. consumers. As a Senior/Lead Product Manager, you will own the vision, roadmap, and execution for the Core Agentic AI Platform, defining primitives for agentic behavior, safe AI operation, scalable inference, continuous model iteration, and vertical expansion. This deeply technical role involves partnering with engineering, research, design, and GTM teams to deliver measurable product outcomes.

Must Have

• Define Core AI Platform Vision and Roadmap for 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 for reliable building by product teams.
• 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 prompt-tune vs fine-tune vs switch models, balancing quality, latency, 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.
• Build cost/latency governance: budgets, monitoring, and optimization priorities across high-scale deployments.
• 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 platform supports compliance needs (e.g., SOC2/GDPR readiness) through measurable controls and operational rigor.
• 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, making it actionable via tooling and dashboards.
• Create feedback loops from production to continuously improve prompts/models/policies.
• Drive platform requirements for real-time conversational intelligence: ASR/TTS integration patterns, latency budgets, and quality metrics.
• Prioritize multimodal platform primitives that improve naturalness, responsiveness, and user trust in voice experiences.
• 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.
• 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.
• Experience defining platform interfaces and driving adoption across multiple product teams.
• Proven ability to lead cross-functional execution with measurable outcomes.
• Experience building in enterprise SaaS environments with multi-tenant requirements, governance, and operational rigor.

Good to Have

• 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.

Perks & 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

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.

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

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.