---
title: 'Forward Deployed Data Engineer (Integration) at Hilbert''s AI'
canonical: 'https://feeny.ai/job/forward-deployed-data-engineer-integration-hilbert-s-ai-san-francisco-eep7qqxmfxqb'
type: 'job'
last_seen: '2026-09-06'
---

# Forward Deployed Data Engineer (Integration) at Hilbert's AI

- **Company:** Hilbert's AI
- **Location:** San Francisco, CA
- **Compensation:** $140k–$170k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-30
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/hilberts/a6fe026d-ad88-451e-8d3a-3ce53e8ff98d

## Job description

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 FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert.

## THE MISSION: ARCHITECT THE GROUND TRUTH

At Hilbert we shorten "months" to "minutes." We build the AI Growth Engine that Fortune 500 enterprises and iconic B2C brands use to navigate their revenue drivers in real-time.

We are expanding our deployment model. Whether we are ingesting data into our high-performance Clickhouse managed warehouse or implementing Warehouse-Native logic directly within a customer’s own data warehouse solution like Snowflake or BigQuery, the goal is the same: providing our AI Agents with a perfect, high-fidelity view of the business. We need a Forward Deployed Data Engineer who can architect these bridges in any environment.

THE HARD PROBLEM: ARCHITECTURAL HYBRIDITY & SEMANTIC CLARITY

The challenge isn't just moving rows; it’s ensuring "Reasoning Consistency." You are responsible for making sure our AI produces the same high-quality insights regardless of where the data resides.

## OUR CURRENT HURDLES:

- The Dual-Track Challenge: We are building a system that can either pipe data into our ClickHouse stack using Dagster and Airbyte, or execute "Zero-Extract" transformations natively in the customer's warehouse. You’ll need to master both worlds.
- The AI Semantic Layer: For customers with custom datasets that don't fit our canonical models, you will build the "Translator." You’ll define the metadata and business logic so our agentic flows can "understand" custom columns without hallucination.
- Agent-Assisted Integration: We are building a Data Discovery Agent to automate the "messy" part of your job. You will prompt and partner with this agent to analyze customer data, suggest mapping alternatives, and generate the first version of pipelines automatically, slashing integration time significantly.

## WHO YOU ARE (THE PROFILE)

- The Pragmatic Polyglot: You are equally comfortable optimizing a Clickhouse query as you are writing native Snowpark (Snowflake) or BigQuery SQL and comfortable implementing data orchestration scripts using python..
- The Data Ontologist: You understand that an AI needs more than just a table; it needs context. You have the discipline to define the "meaning" behind the data.
- The "Translator": You can earn technical trust with a customer's Data Architect in minutes, extracting the logic of custom tables and mapping them to Hilbert reasoning engine.
- The "Pilot" Mindset: You are excited to use and improve AI agents that handle the heavy lifting of data discovery and pipeline scaffolding.

## WHAT YOU’LL OWN

- Hybrid Integration: Own the technical lifecycle of new customers, choosing and implementing the best deployment path (Managed Clickhouse vs. Warehouse-Native).
- Accelerated Onboarding: Use Hilbert internal Discovery Agent to create reports and suggest mappings, moving from raw data to a working v1 pipeline in record time.
- AI Semantic Layer Construction: Architect the semantic definitions for custom enterprise data, ensuring our agentic conversation engine has the "Ground Truth" for every query.
- Canonical Modeling: Transform diverse source data into Hilbert unified growth models to power our generic ML systems.
- Enterprise Deployment: Act as the lead technical resource for high-stakes enterprise implementations, ensuring our stack is "packaged" and performant in their specific infra.

## BONUS POINTS

- Deep experience with dbt for warehouse-native modeling.
- Having worked with more than one state of the art data warehouse solutions and knowing the optimization strategies.
- Experience with Semantic Layer frameworks (Cube, MetricQL, etc.).
- Background in E-commerce/Retail (understanding Revenue Metrics, Order lifecycle, LTV, CAC, and Attribution etc.).
- Having built an agentic workflow before.

## LOCATION

San Francisco, with occasional travel for team meets, off-sites or customer engagements.

## THE HIRING JOURNEY

Short form → Intro Call → Technical working session → Team conversations → Offer

Fast, human, no bureaucracy.

## WHY JOIN US

At Hilbert, we move fast, work collaboratively, and give people real ownership over their impact. As a fast-growing company, there's no shortage of room to grow — you'll take on new challenges quickly and shape the path as you go.

On top of that, here's how we take care of our team:

Health & wellness. We cover 100% of your Health, Dental, and Vision premiums — with the option to add coverage for dependents or a spouse at additional cost.

Financial future. Plan ahead with our 401k through Human Interest, including an employer match that vests immediately.

Time to recharge. Enjoy generous PTO so you can rest, travel, and spend time on what matters most outside of work.

Commuter support. Based in SF? We help cover your commuting costs.

Lunch, covered. In the SF office, we provide lunch vouchers via DoorDash.

And many more. We're always looking for new ways to support our team. Come build the future with us, and grow alongside a company that's investing in yours.

Hilbert is an Equal Opportunity Employer. We are committed to building a diverse team and an inclusive culture, and we welcome applicants of all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other status protected by applicable law.

## About Hilbert's AI

## Company Overview
- **One-liner**: Hilbert provides an AI-native growth infrastructure that unifies fragmented data into actionable insights and automated actions for B2C companies, replacing traditional BI tools.
- **Entity Type**: Private (Series A)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024 (pre-seed closed June 2025)
- **Founders**: Nazli Tan (CEO), Ozgur Akaoglu (Co-founder, AI/ML), Cenk Batman (Co-founder, Engineering)

## Core Business
- **Primary industry**: AI-Powered Analytics / Growth Intelligence
- **Target customers**: B2C companies (consumer brands, e-commerce, subscription services, retail) – serving growth marketing teams, CFOs, and executives
- **Mission**: To replace fragmented dashboards and manual analysis with a single AI-native system that observes, reasons, acts, and evolves automatically – enabling companies to see clearly, decide fast, and grow with precision.

## Products & Services
- **Hilbert Growth Infra (SaaS)**: A multi-layer AI platform that ingests customer data, detects anomalies and trends, explains root causes, and executes autonomous growth actions (e.g., CRM triggers, budget reallocation, retention plays). Accessible through natural language with no code required. Integrates with tools like Segment, Fivetran, Mixpanel, and Snowflake.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: $28M Series A (led by Andreessen Horowitz, April 2026)
- **Total Funding**: $28M+ (Series A) plus an undisclosed pre-seed round led by Asylum Ventures (June 2025)
- **Notable Investors/Partners**: Andreessen Horowitz (lead), Asylum Ventures; customers include brands like Blank Street (mentioned in social posts)
- **Growth Signals**: 
  - Headcount grew 400% YoY (from ~4 to 20 employees)
  - 3,333 LinkedIn followers (+215% yearly)
  - Hiring key roles: Head of Retail (QSR & Grocery), ML Engineers, Software Engineers
  - Rapid traffic growth (monthly visits +108%) and low bounce rate (0.6%)
  - Podcast launch (“Hilbert Space”) with Walmart EVP Daniel Danker

## Competitive Advantages
- **AI-Native & Agentic**: The platform doesn’t just report – it detects shifts, explains “why,” and executes actions automatically, collapsing months-long decision cycles to minutes.
- **Unified Infrastructure**: Replaces multiple fragmented tools (BI, analytics, CRM) with one system that connects insight, decision, and action.
- **No-Code Natural Language Interface**: Users can ask questions in plain English without relying on data teams.
- **SOC 2 Compliant**: Enterprise-grade security and encryption by design.
- **Team Expertise**: Founders and engineers bring experience from Google, FreshDirect, Getir, Nillion Labs, and top academic institutions (MIT, NYU, Georgetown, etc.), with deep B2C growth domain knowledge.

## Strategic Focus
- **Current Priorities**: 
  - Scaling the platform across verticals – especially retail (quick-service restaurants, grocery).
  - Expanding the go-to-market team with enterprise revenue leaders.
  - Continuing to invest in AI/ML capabilities (root cause analysis, predictive modeling, autonomous actions).
  - Building the “a16z Growth Engineer Fellowship” to attract top technical talent.
- **Direction for Growth**: Becoming the essential growth infrastructure for all B2C companies, replacing manual analytics and enabling real-time, automated optimization of acquisition, retention, and monetization.

## Why Work Here
- **Culture & Work Environment**: Hybrid model with a strong in-office presence in San Francisco (HQ). Small, fast-growing team (20 people) with a collaborative, high-impact atmosphere.
- **Remote/Hybrid Policy**: Roles are hybrid (expected time onsite); some positions are fully in-office. Offices in SF and likely Istanbul (given high Turkey headcount).
- **Notable Perks**: Not publicly detailed, but the company offers the chance to work on cutting-edge AI/ML problems with a team of top-tier engineers and operators backed by a16z. Rapid growth provides early-career acceleration and ownership.
- **Engineering Culture**: Emphasis on mathematical rigor, AI/ML innovation, and building production-grade infrastructure. Tech stack includes Python, ClickHouse, dbt, Fivetran, SQL, and modern data tools.

## Sources
1. [hilberts.ai](https://hilberts.ai/)
2. [hilberts.ai/about-us](https://hilberts.ai/about-us)
3. [linkedin.com/company/hilbertsai](https://www.linkedin.com/company/hilbertsai)
4. [builtin.com/company/hilbert-s-ai](https://builtin.com/company/hilbert-s-ai)
5. [jobs.ashbyhq.com/hilberts](https://jobs.ashbyhq.com/hilberts)

## Other roles at Hilbert's AI

- [Senior Marketing Manager](https://feeny.ai/job/senior-marketing-manager-hilbert-s-ai-san-francisco-qxbrwv6k9drp) — San Francisco, CA
- [Privacy & Product Counsel](https://feeny.ai/job/privacy-product-counsel-hilbert-s-ai-london-ha0g6ps4mnkd) — London, United Kingdom
- [Talent Sourcer](https://feeny.ai/job/talent-sourcer-hilbert-s-ai-mexico-er4f8f3xcb3h) — Mexico
- [Talent Sourcer](https://feeny.ai/job/talent-sourcer-hilbert-s-ai-united-states-k0ynnb6ykj3k) — United States
- [Product Marketing Lead](https://feeny.ai/job/product-marketing-lead-hilbert-s-ai-san-francisco-a1q3fhnymenp) — San Francisco, CA
- [Privacy & Product Counsel](https://feeny.ai/job/privacy-product-counsel-hilbert-s-ai-san-francisco-0zsgyf81xx1b) — San Francisco, CA
- [Software Engineer (Full-Stack / Product)](https://feeny.ai/job/software-engineer-full-stack-product-hilbert-s-ai-turkiye-gxgn67wzc3aj) — Türkiye
- [Forward Deployed Data Engineer (Integration)](https://feeny.ai/job/forward-deployed-data-engineer-integration-hilbert-s-ai-turkiye-gpny9gfr9mn3) — Türkiye
- [AI Engineer - Core](https://feeny.ai/job/ai-engineer-core-hilbert-s-ai-san-francisco-2rc16pvkp22h) — San Francisco, CA