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Hilbert

No-code AI analytics for B2C growth

Delivery Pod Lead - Americas

Engineering LeadershipUpdated on Nov 14
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Extensive field experience in data engineering, data architecture, or machine learning engineering, ideally from engineering consultancy or business-to-business delivery of data and machine learning projects, including leading engineers on customer projects.
  • Hands-on delivery experience with Databricks, Snowflake, or BigQuery, and familiarity with modern stacks such as Dagster, Airbyte, ClickHouse, and Cube.
  • Working knowledge of cloud security and system integration on AWS, Azure, or Google Cloud Platform.
  • Experience working in a distributed team across time zones.
  • Fluency in Spanish for working with customers across the region.

Responsibilities

  • Lead and grow a small team of data and machine learning engineers delivering the data foundation.
  • Review solution designs and proof-of-concept scopes before they reach customers, and decide what can be delivered and how.
  • Own each delivery after signature by staffing it with the right engineers and owning its plan, timeline, and quality.
  • Work hands-on in architecture, data discovery, canonical modeling, semantic layers, ETL and ELT orchestration across customer and company environments, secure cloud integration, and reviews of feature and model work.
  • Help build the Data Discovery Agent to analyze customer data, suggest mappings, scaffold initial pipelines, and integrate it into the team's work as it matures.
  • Serve as the main technical contact for customers' engineering teams.
  • Work with product engineering to turn repeated delivery work into product and bring new industries and technology stacks to them early.
  • Help sales engineers learn about delivery and engineering capabilities.
  • Design processes, standards, reusable patterns, and automation that enable a small team to handle varied customer environments efficiently and consistently.

Desired Qualifications

  • Experience with growth-focused data projects.
  • Industry experience in e-commerce, retail, fintech, telecommunications, or media.
  • Consulting experience in regulated industries.
  • Ability to travel to the United States when necessary.

About the Company

Hilbert

No-code AI analytics for B2C growth

Hilbert provides an AI-powered growth platform for B2C businesses that turns fragmented data from teams like retail, inventory, and ecommerce into actionable guidance. It connects diverse data sources, uses deep learning and a proprietary AI/ML stack to organize data for models, and offers a no-code, natural language interface to ask questions. The Hilbert Label collects all data about a single customer, including predictive insights such as churn risk and upsell potential, and updates this label as new data arrives; the system also flags marketing inefficiencies and forecasts metrics like customer growth. Its goal is to translate insights into measurable actions with estimated revenue impact, helping large B2C brands shorten decision cycles and accelerate growth while expanding through venture funding and experienced operators.

Company size
51-200
Company stage
Series A
Total funding
$28M
Headquarters
San Francisco, CA
Founded
2025

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