---
title: 'Software Engineer, Data Infrastructure at Sapiom'
canonical: 'https://feeny.ai/job/software-engineer-data-infrastructure-sapiom-san-francisco-syvhe8sz7ssq'
type: 'job'
last_seen: '2026-09-10'
---

# Software Engineer, Data Infrastructure at Sapiom

- **Company:** Sapiom
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/sapiom/8b9d3c48-f13f-4f2e-9a32-a57fd49e10bc/application

**Skills:** SQL, Python, Spark, AWS Glue, EMR, DBT, Airflow, Snowflake, AWS Redshift, Teradata

> Own Sapiom's data infrastructure end-to-end, designing and scaling ETL pipelines, defining schemas, and building governance frameworks. This foundational role requires strong technical expertise in data engineering and the ability to partner with cross-functional teams to support AI-powered analytics.

## Job description

## About Sapiom

Sapiom is the end-to-end platform that removes barriers to ship and scale agentic products. We unify what an agent needs to act in the world — compute and sandboxes, memory, identity, spend controls, storage and queues, monitoring — provisioned together as one thing, not handed over as a framework to assemble yourself. We have assembled a world-class team with deep infrastructure and payments DNA to build the operating system for machines. Our founder ran payments engineering at Shopify for five years and built an autonomous consumer agent company before that. We raised a $35M Series A led by Dragonfly in August, bringing us to $50M total. Accel led our seed; Menlo Ventures and Anthropic are also behind us. The models are the brain. We're the spine.

## About the Role

This is a foundational infrastructure role at a company where the data layer isn't a back-office function — it's the nervous system of a payments platform processing every agent transaction, policy decision, and risk signal in real time. The right person thrives on ownership, has strong opinions about data quality and governance, and moves with the urgency of someone who knows that bad data costs more than bad code. As an early data engineer, you'll define not just the pipelines but the standards, architecture, and culture of data at Sapiom.

## What You Will Do

You'll own Sapiom's data infrastructure end-to-end — designing and scaling ETL pipelines, defining schemas that survive 10x growth, and building the governance and quality frameworks that make data trustworthy across the company. You'll architect standardized data models that enable self-serve AI-powered insights, giving Analytics, Data Science, and product teams the visibility they need to move fast without coming to you for every query. The mandate is broad: pipelines, quality, security, observability, and the cross-functional partnerships that keep it all running.

## Responsibilities

- Build, scale, and optimize production-quality ETL pipelines — owning the full lifecycle from ingestion through availability, with clear quality and SLA standards
- Design data schemas and architect for scale — anticipating 10x data growth and building models that don't require rework when it arrives
- Own data quality, governance, security, and schema design across the platform — setting the standards and making sure they hold
- Develop standardized, self-serve data models that enable AI-powered analytics — reducing friction for partner teams and eliminating one-off data pulls
- Instrument pipeline observability and surface key health metrics to Analytics, Data Science, and DevOps — proactively surfacing issues before they become incidents
- Partner closely with Data Science, Analytics, and DevOps — operating as a force multiplier across teams, not a bottleneck

## Requirements

- Demonstrated track record — 5+ years — transforming raw data into governed, well-documented, production-ready datasets that business teams can trust and use
- Deep hands-on experience building and deploying production data pipelines using SQL, Python, Spark, AWS Glue, EMR, DBT, and Airflow
- Strong command of MPP databases — Snowflake, AWS Redshift, or Teradata — with 3+ years of hands-on production use
- Proven partnership record with Engineering, Analytics, Data Science, and DevOps teams — someone who treats cross-functional relationships as core to the job, not peripheral to it
- Architectural instincts — able to design schemas and systems that scale gracefully, not just handle today's load
- Comfort operating in an on-call rotation — including incident response outside regular working hours when the pipeline demands it
- Clear communicator who can translate complex data infrastructure decisions into plain-language insights for both technical and non-technical stakeholders

## About Sapiom

## Company Overview
- **One-liner**: Sapiom builds the financial access layer that allows AI agents to securely purchase and use software, APIs, data, and compute through a single key, eliminating vendor accounts and billing relationships.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2025
- **Founders**: Ilan Zerbib

## Core Business
- **Primary industry/industries**: AI infrastructure, Payments, API orchestration
- **Target customers**: B2B – AI agent developers, vibe-coding platforms (e.g., Lovable, Bolt), and any company building autonomous agents that need to transact with external services.
- **Mission or purpose statement**: "Build the access layer for the agentic economy" – create infrastructure that lets AI agents transact safely with the real economy.

## Products & Services
- **Access Network**: The core execution engine. One API key replaces every vendor account, credential, and billing relationship. Services are metered per use (no subscriptions or minimums). Capabilities include:
  - **User Authentication**: Agents verify users via SMS, OTP, transactional messaging – billed per verification.
  - **LLM Inference**: Access 400+ language models from leading providers with automatic provider selection – billed per token.
  - **AI Search**: Live web and structured data queries with real-time results and source citations – billed per query.
  - **Voice and Audio**: Generate speech, transcribe audio, create sound effects – billed per minute.
  - **Image Generation**: Create images from text prompts – billed per generation.
  - **Video**: Generate, transform, and subtitle video content – billed per generation.
  - **Web Extraction**: Browse, scrape, and interact with websites – billed per session.
  - **Compute**: Run code in serverless containers – billed per execution.
  - **Messaging**: Publish messages, manage queues, schedule tasks – billed per message.
  - **Databases**: Provision Redis, vector, search, Postgres databases – billed per operation.
  - **Filesystem**: Store, organize, and serve files autonomously – billed per operation.
- **Integration Options**: MCP (zero-code), Skills (one command), SDK (full control).

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric (Private)**: Total funding raised – $15.75 million (Seed round, led by Accel, closed February 2026)
- **Notable Investors/Partners**: Accel (lead), Okta Ventures, Gradient Ventures, Array Ventures, Menlo Ventures, Anthropic, Coinbase Ventures. Founder Ilan Zerbib previously Director of Engineering for Payments at Shopify.
- **Growth Signals**: Team of ~8 employees (as of mid-2026) with 20+ open roles posted; strong backing from top-tier funds; early adoption by vibe-coding platforms; monthly headcount growth of +11.1% per LinkedIn.

## Competitive Advantages
- **Zero-friction access**: A single API key replaces dozens of vendor accounts, credentials, and billing relationships – agents get immediate access to any paid service without manual setup.
- **Metered, transparent pricing**: No subscriptions, no minimums – pay only for what agents actually execute. This aligns cost with usage and reduces overhead.
- **Deep payments & infrastructure DNA**: Founder built Shopify’s payments infrastructure; team hails from Modern Treasury, Google, Shopify, and other high-scale fintech/infra companies.
- **Protocol rather than catalog**: The Access Network allows agents to use any paid API on the internet without needing a pre-curated catalog – extensible by design.
- **Backed by Anthropic**: Strategic investment from a leading AI lab ensures alignment with frontier agent capabilities.

## Strategic Focus
- **Current priorities**: Scaling the Access Network to more B2B AI agent builders and vibe-coding platforms; hiring aggressively (20+ open roles) to expand engineering, product, marketing, and developer relations; building identity, policy, settlement, and risk layers for machine commerce.
- **Direction for growth**: Become the default economic substrate for autonomous agents – moving from B2B to eventually enabling consumer AI agents to transact independently.

## Why Work Here
- **Culture highlights**: Small, high-trust team; senior hires given context not orders; strong opinions weakly held; decisions made in writing; "high-intensity ownership" with meaningful founder-level equity.
- **Remote/hybrid/office policy**: On-site in San Francisco, CA. Regular team offsites for deep work and relationship building.
- **Notable perks**:
  - Top-tier health coverage (medical, dental, vision – fully covered for employees and dependents)
  - Learning budget (books, conferences, courses)
  - Best-in-class hardware (no budget approval delays)
  - Flexible time off (no vacation tracking; "own your recovery fully and effectively")
  - Mission-critical work at extreme velocity

## Sources
1. [sapiom.ai](https://www.sapiom.ai/)
2. [sapiom.ai/careers](https://www.sapiom.ai/careers)
3. [TechCrunch](https://techcrunch.com/2026/02/05/sapiom-raises-15m-to-help-ai-agents-buy-their-own-tech-tools/)
4. [CB Insights](https://www.cbinsights.com/company/sapiom)
5. [LinkedIn](https://www.linkedin.com/company/sapiom)

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