- We are looking for a Senior Product Manager to lead product for AI Search
- Lawyers live in their documents, emails, and matters, and they need to find the right one fast
- More and more, they expect search to understand what they mean, not just match the words they typed
- This role owns getting us there
- You will own product for an engineering and ML team that is moving Clio from keyword search to hybrid lexical and semantic search across documents, communications, and records
- The tech underneath is changing quickly, so we care more about how you measure and improve search quality than which retrieval technique you like best
- AI Search owns search at Clio end to end
- That starts at document ingestion and runs through retrieval, ranking, and the global search bar that shows up in Manage, DMS, Grow, and Work
- We build it once as a shared platform (the document pipeline, the search API, and our vector and full-text search platform) so every product gets the same great search
- A firm using Manage, Grow, and Work should be able to search across all of it in one place
- The same retrieval layer also feeds Vincent and our other AI features, so the work here shows up well beyond the search bar
- Set the product vision for search. Figure out what lawyers are actually trying to find, where keyword search lets them down, and the fastest path to fixing it
- Turn "why can't I find my document?" into a roadmap with dates, and have the eval data to show when search actually got better
- Run planning and execution with a team of engineers and ML engineers. Ship often and keep iterating
- Own how we measure search quality
- Work with engineering and ML on relevance, ranking, and query understanding, and use A/B tests, click-through, and offline evals to decide what ships
- Work with DMS, Manage, Grow, Unified Comms, and our AI teams to bring documents, emails, and records into one search
- Permissions have to be right, customer AI opt-out has to be respected, and we build around what customers are actually searching for
- Make the product calls on the search experience
- Decide which results, filters, and metadata to show, whether name and content search should come together, and how we explain a semantic match
- Balance relevance, latency, and cost at our scale
- Keep the whole Clio suite in mind
- Search should pull our products together
- Stay on top of what is happening in AI retrieval and legal tech, so we know what customers will expect from search before it shows up as a support ticket or a lost deal
Benefits
- Specialized learning and development programs and access to an in-house performance coach
- Equitable compensation for your contributions, regardless of gender, race, or any other identifying factor
- Access to pay transparency on all of our global roles
- Company equity for applicable employees
- RRSP-matching in Canada, 401k in the US, and pension plans in Ireland
- Hybrid model - striking the right balance between the benefits of in person connectivity that in office brings, and the flexibility of remote
- Flexible paid time off (4-week minimum with opportunities for personalization based on individual needs and achievements)
- Parental leave options for birthing and non-birthing parents
- A $500 contribution to your child’s RESP
- Various health, dental, and vision benefits for you and your family, including an Employee and Family Assistance Program
- Virtual and In-person Wellness Programs to support mental and physical health
- Paid time for volunteering through our Clio Gives program
- $2000 annual counseling benefit for CAD Clions
Legal tech experience is a plusYou can lead and motivate an engineering and ML team in a fast-moving environment where people own their outcomesA track record of shipping search or retrieval that measurably improved relevance, and a good sense for what actually helps people find things vs. what just demos wellGood judgment on which search problems to go after, and which ones to leave aloneExperience with both 0-1 products and scaling existing onesClear communicator. You can connect what customers need with what the tech can do, and get engineering, ML, design, and partner product teams behind one roadmapProduct management experience, ideally on search, information retrieval, or AI productsStrong technical chops. You can hold your own with engineers and ML folks on lexical, semantic, and hybrid retrieval, embeddings, and ranking across a big multi-product suite