Centralize helps revenue teams operationalize multithreading and drive warm pipeline. Reps at companies like Sendoso, mParticle, and Navattic use us to automatically map stakeholders, track evolving account priorities, and fill contact gaps by leveraging their networks for warm intros.

Our founding team consists of product leaders, principal engineers & ex-founders who launched Facebook Shops, Slack Huddles, Modern Treasury Reconciliation, and other YC companies.

We're proud to be backed by folks like Y Combinator, Salesforce Ventures, Cal Henderson (Co-Founder @ Slack), Noah Weiss (ex-CPO @ Slack), Joe Teplow (SVP, Salesforce Labs) and GTM executives at Box, Retool, Brex & Notion. Our advisors include revenue leaders @ Highspot, Dropbox, Truework & Front.

We run on a React & NextJS stack. We work on everything — product & design for beautiful UX, optimizing large frontend datasets, advanced RAG, minimizing hallucinations, and multi-source data ingestion.

Skills: Machine Learning, Deep Learning, Software Architecture

As a founding engineer (Applied AI), you’ll help build the core of Centralize’s AI product. We’re on track to build a multi-billion dollar GTM company that will change the way people sell forever. You will…

• Completely own features end-to-end & work directly with the founders to scope out the problem space.
• Scope, architect, and build SOTA research agents, chatbots, RAG pipelines & rerankers while supporting customers directly.
• Lay the groundwork for our LLM infrastructure & scale the system as we create a new category in GTM tooling.
• Make complex LLM pipelines work at near-perfect accuracy.
• Flex across the full stack (frontend, backend, infra) to build whatever is necessary to support our customers.
• Ship fast.

You’ll be successful in this role if you…

• Have strong English communication skills in speaking & writing.
• Love working in a hyper-paced environment with intense deadlines (our customers love us and expect a lot!)
• Are an expert at LLM / NLP infrastructure (reranking, evals, graphs) & have proven experience building impressive products in the space.
• Love reading & implementing research papers to stay up-to-date with SOTA models & LLM techniques.
• Are able to take undefined product thinking & independently scope + execute large features optimizing for speed with attention to scale.
• Have an extremely high bar for quality and attention to detail.
• Care a ton about user success and satisfaction.
• Are kind, humble, and a great team player.

Bonus points if you’ve…

• Previously worked in the GTM tooling space (sales, customer success, etc) or have familiarity with similar tools.
• Previously been a founder or founding engineer.
• Participated in AI research and published a research paper as either first or second author.
• Super brownie points: Have experienced at least 1 sales call (sat in or ran one)

Note: While the above criteria are ideal, we index heavily on slope, not y-intercept. If you’re driven, hungry and have a hockeystick trajectory, we’d love to talk!

Technology

We run on a React & NextJS stack. We work on everything — product & design for beautiful UX, optimizing large frontend datasets, advanced RAG, minimizing hallucinations, and multi-source data ingestion.