Data​/Backend Engineer; Martech

Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes.

From Fortune 10 enterprises to beloved brands like Fresh Direct, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We're also co-building alongside leading AI companies.

We’re looking for a Martech Data Engineer who lives and breathes the APIs of the modern growth stack. Our goal is "Zero-Config" ingestion. We want a customer to plug in their Facebook Ads or Klaviyo credentials and see Hilbert AI start generating insights instantly. You are the one who makes that "magic" happen by mastering the quirks, rate limits, and schemas of every major marketing and CRM tool on the planet.

• API Expertise: You’ve spent significant time in the documentation of Facebook Ads, Google Ads, Tik Tok, GA4, Klaviyo, or Braze
  . You know where the "gotchas" are.

• The "Genericist": You don't want to build a custom solution for one customer; you want to build a solution that works for every customer using that tool.

• Data Transformation: You can take a messy JSON response from a 3rd party API and flatten/transform it into a high-performance analytical schema.

• Tech Stack: Strong Python and experience with Airbyte (building custom connectors is a huge plus). Experience with Click House-like OLAP database solutions.

• Build and automate ingestion pipelines for the "Big Tech" marketing platforms.

• Design "Minimum Configuration" workflows so our GTM team can onboard customers without constant engineering intervention.

• Map event-collection data (from Posthog, Segment, GA4 or Bloomreach) into a unified identity and event stream.

• Work closely with the Core Data team to ensure Martech data flows seamlessly into our main Click House/ML environment.

• Experience in E-commerce or Retail sectors (understanding what a "SKU" or "Attribution Window" is without being told).

• Experience with product event usage data.

• Contribution to open-source data tools.

• Working with Data Scientists or ML Engineers

• Having as many different 3rd party Paid Ads, Event Tracking, CRM, CDP tools data integration experience.

At least 5 hours overlap with PST timezone (7am-5pm)

Competitive salary + equity package, commensurate with experience. Performance-based bonuses tied to project milestones and customer impact.