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Interface

Lead Product Manager, Data & Analytics

Interface, San Jose, California, United States, 95199

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Overview

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. 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 role

bridging AI, data infrastructure, and product strategy to help interface.ai and our customers become more intelligent, autonomous, and data-driven. Key Responsibilities Internal Data Platform & Architecture Own and evolve our

internal data architecture

, including ingestion, transformation, data access, observability, and governance. Champion

modern data paradigms

domain-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 experiences

where 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

. 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.

Qualifications 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

Youll define how

data becomes productized intelligence

across institutions, internal teams, and platform primitives. Youll build

platform-wide insight systems

that serve product, engineering, GTM, and customers.

Youll operate at the intersection of

data architecture, AI innovation, and user experience

bringing 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. Health: medical, dental, and vision insurance and wellbeing resources and programs Time away: Public holidays and discretionary PTO package for flexible days off with manager approval Financial: 401K, ESPP, Basic life and AD&D insurance, long-term and short-term disability Family: parental leave Development: Access to internal professional development resources.

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. Voluntary Self-Identification

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