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.

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.

Founding backend engineers — two roles.

We're at an exciting, early stage and hiring two founding engineering roles. Deep expertise in one is what we're after — bring it, and we'll teach you the rest.

01

BI Engine Engineers

You build query engines: relational algebra, query planning and optimization, MDX/OLAP, and execution across warehouses. You turn an approved plan into SQL and validate the generated SQL against the plan's accepted bindings before it runs. Background in a DB engine, MDX/BI engine, or query optimizer is ideal.

02

Context Platform Engineers

You build the Context Graph: ingesting warehouse schema, semantic models, approved query history, and BI assets into the layer the system reasons over. Background in a data catalog, metadata platform, or ETL / knowledge-graph system shines here.

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