Athena AI / Contify
With a Head of Product remit, I led the vision and launch of Athena’s AI assistant for market and competitor research.
Measured · assistant adoption
85%Of all customer accounts adopted Athena’s AI assistant. Wider platform outcomes are detailed separately below.
The problem
Research teams needed answers they could check against the underlying information. The assistant needed to turn retrieved intelligence into useful answers while keeping its sources accessible.
My part in the change
I led the assistant’s vision and launch around retrieved intelligence and supporting sources.
I used customer research, usage data, and competitor analysis to guide the broader platform roadmap.
I grew the PM team from one to seven and aligned continuous discovery with a shared platform roadmap.
Scope & contribution
At Contify, I led the vision and launch of Athena’s AI assistant for market and competitor research. It used retrieval-augmented generation (RAG) to answer from enterprise information and cite sources. My wider remit covered enterprise search, integrations, and building the product-management team.
Research and strategy teams needed answers they could check against the underlying sources. The product challenge was to turn curated information into useful answers while keeping that evidence accessible.
With a Head of Product remit, I led product vision and launch for the assistant, which retrieved relevant intelligence before generating an answer with supporting sources. My wider Athena scope covered structured market facts, generated insights, dashboards, and question answering. I used customer research and usage data to prioritize search relevance and integrations.
Decision context
Build the assistant around retrieved intelligence and sources people could inspect.
The platform combined enterprise search, a knowledge graph, and multiple AI models. My scope connected that foundation to the question-answering experience, including access to supporting sources.
Prioritize search relevance and integrations.
I used customer research, product-usage data, and competitor analysis to prioritize search relevance and integrations. We launched more than 20 integrations.
Connect continuous customer discovery with a shared platform roadmap.
I managed PMs, including hiring and performance reviews, and grew the PM team from one to seven. I introduced continuous customer discovery and aligned engineering, design, data science, sales, and marketing around a shared platform roadmap.
Published product walkthrough
Published product imagery illustrates behavior, not feature-release dates during my tenure. Interactive frameworks are explicitly illustrative.
Platform scope
Turn market updates into structured records, such as which companies were involved, what happened, and when. Researchers can compare and search those details across updates.
My Athena scope included Business Facts, Automated Insights, Real-time Dashboards, and Ask Athena.
The event type and companies establish what happened.
Structured fields make the update useful beyond a single article.
Outcomes in context
Athena’s AI assistant was adopted by 85% of all customer accounts. Separately, enterprise search grew to 5K daily active users (2.3×), we launched 20+ integrations across the platform, and I grew the PM team from one to seven.
2.3× growth in daily active users.
Integrations launched.
Growth of the PM team.
At Contify, I worked on both the product and the team behind it: source-backed AI answers, search and integrations, and a product-management team that grew from one to seven.
Visit the product at ContifyKeep exploring
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