We are Openmart and we are creating the world’s largest live directory of local businesses. We help sales professionals query millions of unstructured business data like websites, product catalogs, reviews and socials.

Both of our founders are located in Foster City and we work in a loft where Richard lives in. Both of us have dogs and have a very dog-friendly office!

Team

Richard

• Richard was a senior software engineer at Cruise working on ML. Then joined as founding engineer at Graft, funded by NEA and GV where he trained and finetuned large-language models. 
• Built an AI agent as weekend project that got on to GitHub trending projects

Kathryn

• First product manager at Databento, which was funded by Redpoint venture which sells market data API’s.
• Previously was on various growth teams at Pinterest and ran hundreds of A/B testings. 
• She also runs a DTC tea brand where she experienced the problem that led to the idea of Openmart We’ve known each other at Pinterest back in 2019 and have been good friends ever since. Openmart’s idea stems from our founder’s own pain points. Kathryn faced GTM challenges while launching her beverage brand trying to find great local business leads. 

Machine Learning Engineer (Audio Training)

We’re building human-like, real-time voice models focused on natural turn-taking, interruption handling, and low-latency speech.

What you’ll do

• Design and generate conversational audio training data
• Train and fine-tune audio / speech models
• Build evaluation for latency, overlap, and interruption
• Own the loop: data → training → eval → production

What we’re looking for

• Strong ML background (PyTorch)
• Experience with audio or speech models
• Solid intuition for timing, latency, and real-time systems
• Startup / ownership mindset

Nice to have

• TTS, ASR, speech-to-speech, or streaming inference experience

Competitive comp + meaningful equity. Founding-level ownership.

• Semantic Search (Multi-stage re-ranking, embeddings, etc), we are building Google for B2B data
• AI Agents (LangChain, OSS models, tool/function calling, etc)
• We use Supabase as our DB, Python as our backend, NextJS as our frontend