The GPS for enterprise deals. Automatically map buying committees, find missing stakeholders, and get the next best move to close. Backed by NEA and Y Combinator.
About the role
We’re hiring our first ML engineer to lead ML and applied AI across Centralize, starting with our relationship graph: who knows who, who trusts who, and how it shifts deal by deal. You’ll report to Will Wang, our co-founder and CTO, and build a new research arm from the ground floor. You’ll set the research agenda, own entire systems end to end rather than one slice of a ranking model, and grow into leading the ML team as it forms around you. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- You’re an ML engineer first, with experience building ML systems that run in production at scale, ideally recommender systems, ranking, or graph-based models
- Hands-on experience building recommender systems, knowledge graphs, or people and social graphs: retrieval, ranking, embeddings, and link prediction. You can flex into applied AI work when the problem calls for it
- A track record of driving research to shipped product, and measuring whether it worked
- Strong fundamentals in modern ML: embeddings, deep learning, and evaluation
- An extremely high level of agency, ownership, and drive. You want to go deep, own large parts of the system, and grow fast. We give you the goal, not the steps
- Exceptional written and verbal communication. You can explain how a model behaves to engineers, customers, and the rest of the company, and write the doc that gets everyone aligned. Here, this matters as much as technical depth
More about this role
Enterprise sales runs on relationships, and every tool built to manage them is a database from 2005. Reps lose seven-figure deals because they can’t see who actually matters inside an account. We’re building the system of intelligence for relationships, the R that CRMs never actually had.
Centralize is the relationship intelligence platform for enterprise revenue teams. Companies like Webflow, Decagon, ElevenLabs, Brex, Cognition, and LangChain use us to close their largest deals. We’ve grown 5x since last year, and customers are pulling us forward faster than we can ship.
We’ve raised a Series A led by NEA, bringing our total funding to $19M alongside Salesforce Ventures, Y Combinator, and operators including Stewart Butterfield (Co-Founder & CEO, Slack), Cal Henderson (Co-Founder & CTO, Slack), and sales leaders from Figma, Box, Dropbox, Anthropic, and Notion.
Centralize was founded by Rachit Kataria, a founding engineer on Facebook Shops who helped scale it to 250M MAUs, and Will Wang, who led the launch of Slack Huddles, the fastest-growing product in Slack’s history.
We’re hiring our first ML engineer to lead ML and applied AI across Centralize, starting with our relationship...
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