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Active10mo ago

AI & Data Engineer

Mercator·📍 San Francisco, California, United States

Employment

FULL TIME

Work mode

On-site

Experience

Not stated

Salary

$160K – $250K/yr

Pay vs market · Near median

This job's pay ($205,000 a year at the midpoint) is higher than about 55% of 27 salary-listed Data Engineer jobs in San Francisco in the last 12 months; their median is $200,000.

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Role overview

Job description

Company Description Mercator is building AI agents that coordinate global supply chains. Today’s systems leak $1.7T in waste each year in retail alone - in overproduction, lost revenue, and unnecessary emissions. Mercator’s founders are seasoned technical operators with a decade of experience leading cutting-edge AI and simulation efforts across Google (Gemini, Tensorflow, & Google X). We recently raised $5M in seed funding from leading Silicon Valley investors and are scaling our small, elite engineering team to meet growing customer demand. Role Description As Mercator’s first AI/Data Systems engineer, you’ll build the core pipelines that transform messy, unstructured inputs into clean, structured, reliable data that powers our entire product. This is one of the most business-critical roles at the company: every simulation, every feature, and every customer decision relies on the accuracy and intelligence of the systems you build. You’ll own end-to-end ingestion and reasoning: extracting data from varied sources, interpreting and mapping it into structured schemas, reconciling inconsistencies, validating correctness, and indexing it for retrieval and grounding. You’ll design LLM-driven reasoning workflows, build RAG pipelines, and architect the gold-standard data store that becomes the trusted source for everything downstream. You’ll partner closely with our product and application engineers to define data contracts, build APIs, and ensure that simulation and customer-facing features are backed by data that is consistent, explainable, and production-grade. You’ll prototype quickly, iterate with real customer inputs, debug ambiguous failures, and harden the systems so they scale with product complexity. This role sits at the intersection of LLMs, retrieval, data modeling, and systems design; the pipelines you build will define what the product can understand, simulate, and ultimately deliver for customers. Benefits Comprehensive health, dental, and vision insurance As a company we’ll work from a fun destination (think: skiing, surfing) two weeks a year --- Applicants must have valid U.S. work authorization. We are able to support H-1B transfers but are not initiating new visa sponsorships at this time.

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About this listing

  • Source: Mercator's official careers site · still listed there on 8 Nov 2026
  • Posted 16 Dec 2025

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Role market pulse

How Data Engineer demand looks in United States

71/100 · rising

Live jobs

281

Posted 30d

237

30d movement

+558.3%

Remote share

31.7%

Salary listed

81.1%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

You’ll design LLM-driven reasoning workflows, build RAG pipelines, and architect the gold-standard data store that becomes the trusted source for everything downstream

Department · Engineering

Hiring company

Mercator

Transportation & Logistics

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