Work at the bleeding edge of agentic analytics.
We're a team of industry veterans who have redefined business intelligence, relational engines, and data platforms — now on a mission to give every business team an analyst they can trust. Come build it with us.
Compensation: $120k–$240k base + meaningful equity · SF or remote (US)
Backed by 8VC and Looker's founding team · advised by Bob Muglia (former CEO, Snowflake)
The AI analyst for business teams.
Spotonix is the AI analyst for business teams. It learns the business from what a customer already has — warehouse schema, semantic models, approved query history, and BI assets — and builds a per-customer Context Graph. It composes a plan you can read before any SQL runs, resolving ambiguity through a clarifying question instead of a guess. And it compounds — approved interpretations are persisted and retrieved, so the next question starts from settled meaning instead of a blank slate.
Unlike text-to-SQL, the LLM never writes the final answer. It proposes a plan you can read before any SQL runs; the system verifies and constrains it, then validates the generated SQL against the plan's accepted bindings before execution. Making that interpretation visible and governable — not a black box — is the hard, durable engineering we're hiring for.
Current openings
A career that compounds.
- →Play a pivotal role in shaping the product and the company.
- →Bleeding-edge tech combining generative AI, semantic processing, and analytics.
- →Exceptional autonomy and accelerated career growth.
- →A fast-paced, zero-to-one, first-generation product environment.
- →No bureaucracy, no hierarchy — just lines of collaboration.
- →Build alongside industry pacesetters who have done it before.
Must-haves
- →3–8 years working in large, production-grade Python projects.
- →Strong data structures, algorithms, design, and coding skills.
- →Experience in a fast-paced startup / small team with 2–4 week release cycles.
- →Comfortable writing production-quality modern Python.
Strong pluses
- →ML stack: PyTorch, NumPy, Pandas.
- →LLM toolchain: any modern stack.
- →2–4 years building a data platform (DB engine, data catalog, ETL engine, JDBC driver, MDX/BI engine).
Founders who've built this before.
Let's transform business intelligence together.
Send us a note — tell us which area is your strength and point us to something you've built. We look forward to deep technical conversations.
Questions? founders@spotonix.com · SF or remote (US) · Pier 5, Suite 101, San Francisco

