Work at the bleeding edge of generative AI and data.

We're a team of industry veterans who have redefined business intelligence, relational engines, and data platforms — now on a mission to bring concierge analytics to the whole enterprise. 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)

A Concierge Analyst for every business user.

Spotonix is the Agentic BI Analyst. It learns your business — a per-customer Context Graph built from your schema, query history, models, and BI assets. It composes verified plans in BI Algebra over your own Segments and Calculations, surfacing ambiguity before any SQL runs. And it compounds — every verified answer makes the next question faster and more trustworthy.

Unlike text-to-SQL alone, the LLM never writes the answer directly. It proposes a plan, and the system reasons about, verifies, reuses, and explains that plan — so the same accepted plan produces the same SQL, every time. That's 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 make verified plans compile to SQL that's correct every time. Background in a DB engine, MDX/BI engine, or query optimizer is ideal.

02

Knowledge Platform Engineers

You build the Context Graph: ingesting schema, query history, models, and BI assets into a semantic knowledge 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