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Data Engineer​/Analyst Product Marketing

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Hired Blueprint
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer/Analyst Product, Growth & Marketing

Job Openings Data Engineer/Analyst Product, Growth & Marketing

About the job Data Engineer/Analyst Product, Growth & Marketing About Us

Were a fast-growing, cashflow-positive startup helping developers reliably extract LLM-ready structured data from the webturning messy content into clean, useful markdown and structured outputs with just one API call.

In just 12 months, weve skyrocketed to over 40,000 Git Hub stars and multiple millions in ARR. But what really powers us? Deep technical obsession, a product developers rave about, and the relentless pursuit of automation across every layer of the business.

Our founders previously built and scaled one of the first chat with your data products, used by companies like MongoDB, Coinbase, and Snapchat. That experience showed us just how painful web data extraction could beand weve been on a mission to fix it ever since.

Why Join Us?
  • Greenfield Impact:
    Be our first data hire and build the central nervous system for AI agents driving product, growth, and revenue.
  • Autonomy from Day One:
    Own your domain, architect the foundation, and drive decisions with minimal red tape.
  • Tech-Obsessed Culture:
    We live in SQL, automate everything, and treat PostgreSQL like a superpower.
  • AI-Native Environment:
    Our workflows are built on LLMs, API chaining, and tools like Claude, N8N, and Codex.
  • Hybrid Setup:
    Were remote-first with an SF office on the horizon, designed for deep focus and high-output collaboration.
Job Duties
  • Build the Customer Brain:
    Design the system that ingests and synthesizes customer insights across product, growth, sales, and support.
  • Own Our Postgres Universe:
    Design schemas, optimize multi-join queries, and make analytics sing at scale.
  • Automate Workflows:
    Connect tools, APIs, and LLMs through low-code pipelines (e.g., N8N, custom automations).
  • Cross-Functional Analytics:
    Power dashboards and analysis across everything from feature adoption to MRR trends.
  • Foundational Work:
    Lay the groundwork for AI-first infrastructure, enabling faster decision-making and smarter ops across the company.
Preffered Skills
  • Postgres Wizardry:
    Youre fluent in SQL and can diagnose slow queries in your sleep.
  • Startup Seasoned:
    Youve built infrastructure from scratch, ideally as the solo data hire or in small, scrappy teams.
  • Automation-Literate: N8N, Zapier, or custom scripting for data pipelines is your jam.
  • AI Fluent:
    You actively use tools like OpenAI Codex, Claude, Devin, or similar in your workflows.
  • Product-Curious:
    You care about customer pain, not just column counts.
  • Visualization Pro:
    Familiarity with Hex.tech or similar for collaborative dashboards is a plus.
  • T-Shaped Generalist:
    Comfortable jumping from growth analytics to product telemetry to revenue forecasting.
You'll Stand Out If You...
  • Built side projects using real data and real feedback loops
  • Can point to a metric you helped move that led to a major product shift
  • Have startup scars (and stories) from previous early-stage experiences
  • Obsess over AI automation workflows and experiment constantly
  • Built data systems that enabled full-cycle insight action

Requirements:

  • Postgres Wizardry:
    Youre fluent in SQL and can diagnose slow queries in your sleep.
  • Startup Seasoned:
    Youve built infrastructure from scratch, ideally as the solo data hire or in small, scrappy teams.
  • Automation-Literate: N8N, Zapier, or custom scripting for data pipelines is your jam.
  • AI Fluent:
    You actively use tools like OpenAI Codex, Claude, Devin, or similar in your workflows.
  • Product-Curious:
    You care about customer pain, not just column counts.
  • Visualization Pro:
    Familiarity with Hex.tech or similar for collaborative dashboards is a plus.
  • T-Shaped Generalist:
    Comfortable jumping from growth analytics to product telemetry to revenue forecasting.
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