Interface AI
Lead Product Manager, Data & AnalyticsSan Jose/ San Francisco Bay Area
Interface AI, San Jose, California, United States, 95112
Lead Product Manager, Data & Analytics
Interface.ai is the industry's-leading specialized AI provider for banks and credit unions, serving over 100 financial institutions. The company's integrated AI platform offers a unified banking experience through voice, chat, and employee-assisting solutions, enhanced by cutting-edge proprietary Generative AI. Our mission is clear: to transform the banking experience so every consumer enjoys hyper-personalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth. Interface.ai offers pre-trained, domain-specific AI solutions that are easy to integrate, scale, and manage, both in-branch and online. Combining this with deep industry expertise, Interface.ai is the AI solution for banks and credit unions that want to deliver exceptional experiences and stay at the forefront of AI innovation. About Interface.ai
Interface.ai is the most advanced Agentic AI platform built for credit unions and community banks. Trusted by over 100 institutions and serving millions of daily interactions, we help financial institutions automate operations, elevate CX, and scale financial wellness with AI-first solutions across chat, voice, and internal copilots. As a fast-growing, venture-backed, product-led company, we operate at the frontier of AI, fintech, and enterprise softwaretransforming how banks serve their customers and run their operations. About the Role
As Lead Product Manager
Analytics, you will own our entire data and intelligence ecosystem. This includes: Our internal data science and data platform strategy Our customer-facing analytics product used by 100+ financial institutions to understand automation, engagement, and operational ROI The product analytics function, responsible for measurement, instrumentation, and strategic insights across product teams This is a foundational rolebridging AI, data infrastructure, and product strategy to help Interface.ai and our customers become more intelligent, autonomous, and data-driven. What You'll Own
Internal Data Platform & Architecture
Own and evolve our internal data architecture, including ingestion, transformation, data access, observability, and governance. Champion modern data paradigmsdomain-oriented ownership, decoupled pipelines, and federated governance inspired by data mesh principles. Customer-Facing Analytics Product
Define and ship analytics features that power financial insights, agent performance, and automation metrics for end-users at banks and credit unions. Promote self-serve data exploration, usage visualizations, and institution-specific dashboards tailored for executive, operations, and support personas. Insight Products Across Product Lines
Drive the creation of cross-product intelligence layers that combine voice, chat, and internal co-pilot data into unified narratives and predictive insights. Enable shared primitives (metrics libraries, KPI models, alerting policies) for Orbit, Sphere, Nexus, and Analytics teams to leverage. Conversational & AI-Powered Interfaces
Build natural-language driven analytics experienceswhere customers ask questions in plain English and receive relevant, contextual answers. Integrate with internal LLM and agentic systems to deliver intelligent summaries, auto-surfaced anomalies, and guided storytelling. Product Analytics & Experimentation
Establish product analytics as a core functiondefine taxonomies, support event instrumentation, and enable cohort tracking and A/B testing. Ensure product teams have access to real-time data that supports better decisions, faster iteration, and continuous product-market alignment. What Success Looks Like
Within 612 months, you will: Launch a next-generation analytics experience used by both customers and internal teams. Define a trusted, scalable data model that supports reporting, experimentation, and conversational insights across all products. Operationalize product analytics frameworks across all squadsinstrumentation, success metrics, retention analysis, and experimentation pipelines. Build insight features that combine structured and behavioral data into role-specific intelligence modules. What You Bring
Required
46 years of product management experience, with at least 2+ years in analytics and data platforms Engineering background: 23 years in software/data engineering and formal CS degree Experience owning modern data architecture or building analytics products that support both internal and external use cases Familiarity with data pipelines, event taxonomies, visualization frameworks, and privacy-safe data governance A product-led mindset: You treat analytics not as reporting, but as productized intelligence Preferred
Experience building analytics tools in a B2B SaaS or fintech platform context Exposure to data mesh concepts, domain-oriented data ownership, and distributed analytics patterns Familiarity with LLM-driven summarization, auto-insight surfacing, or natural language data exploration Experience managing internal tooling for experimentation, growth analytics, or product success metrics Why This Role is Strategic
You'll define how data becomes productized intelligenceacross institutions, internal teams, and platform primitives. You'll build platform-wide insight systems that serve product, engineering, GTM, and customers. You'll operate at the intersection of data architecture, AI innovation, and user experiencebringing structure and value to every layer of the stack. Compensation: Compensation is expected to be between $180,000 - $210,000. Position has a bonus and stock component. Exact compensation may vary based on skills and location. What We Offer: Medical/Dental/Vision Insurance PTO & Holidays Life Insurance 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.
Interface.ai is the industry's-leading specialized AI provider for banks and credit unions, serving over 100 financial institutions. The company's integrated AI platform offers a unified banking experience through voice, chat, and employee-assisting solutions, enhanced by cutting-edge proprietary Generative AI. Our mission is clear: to transform the banking experience so every consumer enjoys hyper-personalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth. Interface.ai offers pre-trained, domain-specific AI solutions that are easy to integrate, scale, and manage, both in-branch and online. Combining this with deep industry expertise, Interface.ai is the AI solution for banks and credit unions that want to deliver exceptional experiences and stay at the forefront of AI innovation. About Interface.ai
Interface.ai is the most advanced Agentic AI platform built for credit unions and community banks. Trusted by over 100 institutions and serving millions of daily interactions, we help financial institutions automate operations, elevate CX, and scale financial wellness with AI-first solutions across chat, voice, and internal copilots. As a fast-growing, venture-backed, product-led company, we operate at the frontier of AI, fintech, and enterprise softwaretransforming how banks serve their customers and run their operations. About the Role
As Lead Product Manager
Analytics, you will own our entire data and intelligence ecosystem. This includes: Our internal data science and data platform strategy Our customer-facing analytics product used by 100+ financial institutions to understand automation, engagement, and operational ROI The product analytics function, responsible for measurement, instrumentation, and strategic insights across product teams This is a foundational rolebridging AI, data infrastructure, and product strategy to help Interface.ai and our customers become more intelligent, autonomous, and data-driven. What You'll Own
Internal Data Platform & Architecture
Own and evolve our internal data architecture, including ingestion, transformation, data access, observability, and governance. Champion modern data paradigmsdomain-oriented ownership, decoupled pipelines, and federated governance inspired by data mesh principles. Customer-Facing Analytics Product
Define and ship analytics features that power financial insights, agent performance, and automation metrics for end-users at banks and credit unions. Promote self-serve data exploration, usage visualizations, and institution-specific dashboards tailored for executive, operations, and support personas. Insight Products Across Product Lines
Drive the creation of cross-product intelligence layers that combine voice, chat, and internal co-pilot data into unified narratives and predictive insights. Enable shared primitives (metrics libraries, KPI models, alerting policies) for Orbit, Sphere, Nexus, and Analytics teams to leverage. Conversational & AI-Powered Interfaces
Build natural-language driven analytics experienceswhere customers ask questions in plain English and receive relevant, contextual answers. Integrate with internal LLM and agentic systems to deliver intelligent summaries, auto-surfaced anomalies, and guided storytelling. Product Analytics & Experimentation
Establish product analytics as a core functiondefine taxonomies, support event instrumentation, and enable cohort tracking and A/B testing. Ensure product teams have access to real-time data that supports better decisions, faster iteration, and continuous product-market alignment. What Success Looks Like
Within 612 months, you will: Launch a next-generation analytics experience used by both customers and internal teams. Define a trusted, scalable data model that supports reporting, experimentation, and conversational insights across all products. Operationalize product analytics frameworks across all squadsinstrumentation, success metrics, retention analysis, and experimentation pipelines. Build insight features that combine structured and behavioral data into role-specific intelligence modules. What You Bring
Required
46 years of product management experience, with at least 2+ years in analytics and data platforms Engineering background: 23 years in software/data engineering and formal CS degree Experience owning modern data architecture or building analytics products that support both internal and external use cases Familiarity with data pipelines, event taxonomies, visualization frameworks, and privacy-safe data governance A product-led mindset: You treat analytics not as reporting, but as productized intelligence Preferred
Experience building analytics tools in a B2B SaaS or fintech platform context Exposure to data mesh concepts, domain-oriented data ownership, and distributed analytics patterns Familiarity with LLM-driven summarization, auto-insight surfacing, or natural language data exploration Experience managing internal tooling for experimentation, growth analytics, or product success metrics Why This Role is Strategic
You'll define how data becomes productized intelligenceacross institutions, internal teams, and platform primitives. You'll build platform-wide insight systems that serve product, engineering, GTM, and customers. You'll operate at the intersection of data architecture, AI innovation, and user experiencebringing structure and value to every layer of the stack. Compensation: Compensation is expected to be between $180,000 - $210,000. Position has a bonus and stock component. Exact compensation may vary based on skills and location. What We Offer: Medical/Dental/Vision Insurance PTO & Holidays Life Insurance 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.