preetamjinka
Joined 14 years ago
Joined 14 years ago
FunnelStory is building agents to autonomously protect and grow revenue for post-sales teams. Our agents need evidence-backed signals from large-scale structured and unstructured enterprise datasets.
You'd work on cohort analysis, prediction models, experiments, and whatever else it takes to make those signals hold up. Our tech stack is primarily Go. Math/statistics background and 2+ years of experience working with ML in production is required.
Please email preetam @ funnelstory.ai with "HN - Applied ML" in the subject if you are interested.
Meanwhile I recently migrated a $5 DigitalOcean VM that's been running flawlessly for over 6 years. It was in dire need of an Ubuntu upgrade. I expect this one to keep going for just as long!
FunnelStory builds context layers and AI agents over distributed enterprise data. We are a small (<20 people), fast-moving, VC-backed startup operating with exceptionally high leverage, and we are gaining strong traction with large enterprise customers. We offer meaningful equity, a chance to tackle hard problems at the intersection of AI, data systems, and ML, and the opportunity to shape the technical direction of a rapidly growing platform. We are committed to robust engineering practices to build resilient, high-performance systems.
This is a great fit if you have:
* Deep expertise in Go.
* A proven track record of solving hard, ambiguous problems across backend and data infrastructure.
* Strong fundamentals in relational databases (PostgreSQL), SQL, and complex data modeling.
* Excitement about taking a high-impact ownership role in an early-stage team.
Who we're looking for:
* 7+ years of experience in systems/backend engineering, data infrastructure, and cloud environments.
* Strong architectural background with a focus on engineering fundamentals over framework hype.
* Ability to communicate complex technical ideas simply and directly.
Apply via https://wellfound.com/l/2Cj73a or email me directly at preetam [at] funnelstory.ai with "HN - Principal Engineer" in the subject line.
Please include your GitHub/LinkedIn, resume, a link to a blog post or piece of writing you're proud of.
FunnelStory builds a queryable context graph over enterprise data — the infrastructure layer that lets AI agents reason over live customer intelligence. We've built a federated query engine purpose-built for agents, ML models from scratch in Go (health scoring, cohort expansion, process mining, Markov chains, Genetic Pareto optimization), and on-prem deployment infrastructure for enterprise customers. All on a deterministically tested backend.
We need engineers who go deep. The kind who read academic papers to build something novel, then hunt down a performance bottleneck five layers deep in the stack. Go is preferred but not required. Strong math and systems engineering background is a plus. What's required: ability to solve hard problems, use AI tooling to add real value (not slop), and drive work forward independently.
Please reach out to me directly at preetam @ funnelstory.ai with "HN" in the subject.
Blog: https://misfra.me/
I’m @preetamjinka on Twitter and @preetam on GitHub.
Email: az___4y @ imap.cc
[ my public key: https://keybase.io/preetam; my proof: https://keybase.io/preetam/sigs/HInV9u7zS2IoOpdvqsXli6QsvLzIYs0gvQpovXe-TUA ]