Senior Director, Product Management - Revenue Intelligence & Analytics

About Invoca

Invoca is the revenue execution and platform leader that helps marketing, commerce, and contact center teams turn every conversation into revenue. Through its AI agents, Invoca engages, qualifies, and converts customers across SMS and voice, orchestrating seamless buyer journeys and measurable, profitable growth. With over 300 employees, 2,000+ customers, and $100M in revenue, the company continues to lead the category it created. Invoca's AI vision centers on using trustworthy, first-party data to deliver intelligent, authentic, and empathetic AI — connecting digital and human experiences to build lasting customer relationships. Invoca has raised $184M from leading investors, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures.

About Invoca

Invoca is the revenue execution and platform leader that helps marketing, commerce, and contact center teams turn every conversation into revenue. Through its AI agents, Invoca engages, qualifies, and converts customers across SMS and voice, orchestrating seamless buyer journeys and measurable, profitable growth. With over 300 employees, 2,000+ customers, and $100M in revenue, the company continues to lead the category it created. Invoca's AI vision centers on using trustworthy, first-party data to deliver intelligent, authentic, and empathetic AI — connecting digital and human experiences to build lasting customer relationships. Invoca has raised $184M from leading investors, including Upfront Ventures, Accel, Silver Lake Waterman, H.I.G. Growth Partners, and Salesforce Ventures.

About The Team

You’ll build and lead the function at the center of Invoca's value story — four product areas that together answer one question customers ask every day: what is all this data telling me, and what should I do about it?

• Integrations — AI Agent and MarTech/AdTech integrations
• Insights & Analytics — our customer-facing analytics suite
• Interaction Tracking — capturing and tracking the interactions that trigger AI Agents
• Data Standardization — a unified consumer profile stitching together digital journeys and brand–consumer engagement

These four have historically lived in different parts of the org. We're bringing them together under one leader because the real opportunity isn't any one of them in isolation — it's the connective tissue between them: using AI to turn unstructured conversation and interaction data into structured, actionable insight at scale, delivered in a way customers can see and act on immediately.

About The Role

We’re looking for a Senior Director of Product to own Revenue Intelligence & Analytics at Invoca. You’ll lead 4 scrum teams and 4 direct reports, each owning one of: Integrations, Insights & Analytics, Interaction Tracking, and Data Standardization. You’ll report to the EVP of Product and sit on the R&D Senior Leadership Team, representing this portfolio in company-level strategy conversations.

The single most important thing this role owns is proving value. Invoca captures an enormous amount of conversational and behavioral data on behalf of our customers. Your job is to make sure that data doesn't just sit in a warehouse — it gets turned into structured, trustworthy insight, delivered through the product, where customers can point to it and say "this made me money" or "this made my team better." You’ll do this by bringing a strong, AI-fluent point of view on how unstructured data becomes structured insight, and by building and coaching a team of product leaders who can execute against it.

This is a build-and-lead role, not a build-alone one. We need someone who can go deep enough technically to have real opinions about Databricks-powered data pipelines and MCP-driven integrations, and who can also run a team of PMs, set a north star, and hold a high bar for what "shipped value" looks like.

You Will

Own the Portfolio

• Set product strategy and roadmap across Integrations, Insights & Analytics, Interaction Tracking, and Data Standardization as one connected portfolio, not four disconnected roadmaps
• Define and own how Invoca turns unstructured data (calls, SMS, agent interactions) into structured, AI-generated insight that customers can act on immediately
• Partner with Data Engineering on our Databricks-based data platform to ensure the underlying architecture can support the insight and analytics products built on top of it
• Own the customer value narrative for this portfolio: ensure every product has a clear, quantifiable story for the value it delivers, and use that story to drive adoption, retention, and expansion
• Represent this portfolio on the R&D Senior Leadership Team; bring proactive ideas and investment cases to company-level strategy conversations, not just status updates

Lead

• Manage, coach, and grow 4 product leaders, each owning one of the core product areas in this portfolio
• Set and uphold a high bar for what "done" means — not just shipped, but demonstrably valuable to customers
• Build and run a healthy agile operating cadence across 4 scrum teams: prioritization, roadmap reviews, cross-team dependency management
• Partner closely with Engineering, Design, Data Science, Customer Success, and GTM leadership to align priorities and remove blockers
• Represent Invoca's data and insights story externally with customers and prospects, and periodically with analysts or press. This role requires flexibility for travel

Make AI the Engine, Not a Feature

• Build a clear, evolving point of view on which AI/ML approaches are right for turning conversational and interaction data into structured insight
• Push the team to use AI not just in the product, but in how the team works: research synthesis, insight generation, customer analysis
• Ensure the AI-driven insights this portfolio produces are trustworthy, explainable, and something customers will actually act on — not just impressive demos

You Have

• Enterprise SaaS Product Leadership: 8+ years of product management experience in B2B/enterprise SaaS, with 4+ years managing other product managers or product leaders
• Unstructured-to-Structured Data Expertise: Direct experience owning products or features that use AI/ML to turn unstructured data (calls, SMS, transcripts, agent notes) into structured, actionable insight
• Analytics/BI Platform Experience: Experience owning a customer-facing analytics or BI product; direct experience with an embedded analytics platform is a strong plus
• Data Platform Fluency: Comfortable partnering with data engineering on modern data platforms; experience with Databricks or a similar data lakehouse (e.g., Snowflake) is helpful
• People Leadership: Proven track record managing a team of product managers/leaders across multiple scrum teams, including hiring, coaching, and performance management
• Value-Driven Communicator: Able to build and tell a clear, quantified value story to customers and executives — you can walk