---
title: 'Software Engineer, Growth Data Platform at Omni'
canonical: 'https://feeny.ai/job/software-engineer-growth-data-platform-omni-san-francisco-a8r8g3fdr4aw'
type: 'job'
last_seen: '2026-09-12'
---

# Software Engineer, Growth Data Platform at Omni

- **Company:** Omni
- **Location:** San Francisco, CA
- **Compensation:** $170k–$250k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/omni/de8286db-3605-4e37-a41d-84979d8d0ae8

## Job description

## About Omni

Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.

Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.

## Responsibilities

- Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows
- Design queues, and workers for enrichment, routing, assignment, and activation
- Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors
- Work directly with various GTM teams to turn one-off experiments into reusable platform primitives
- Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems

## About You

- 2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure
- Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools
- Track record of owning complex, end-to-end systems that serve real users or business-critical workflows
- Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability
- You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output
- Strong debugging instincts

Tech Stack You are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration.

- Snowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs
- dbt for transformation, data models, and tests
- Dagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries
- AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing
- Fivetran
- Python and SQL
- Terraform and GitHub Actions
- Soda
- Omni

Location This role allows for a hybrid schedule in our SF headquarters. If you are based anywhere else in the US, the role is remote.

## Why Join Us

- Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team
- Health, dental, and vision insurance
- 401(k) Plan
- Unlimited PTO

Omni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.

## About Omni

## Company Overview
- **One-liner**: Omni provides an AI-powered analytics platform built on a semantic layer that enables anyone—regardless of technical skill—to ask questions, explore data, and get trusted insights using SQL, spreadsheets, AI, or point-and-click interfaces.
- **Entity Type**: Private (Series C, $235.9M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Colin Zima, Jamie Davidson, Chris Merrick

## Core Business
- **Primary industry**: AI analytics, business intelligence, data platform
- **Target customers**: B2B, Enterprise, SMBs, data teams, business users; also offers embedded analytics for product companies
- **Mission or purpose**: "Help people get answers with AI" – ensuring governed, trustworthy, and fast access to data for every user.

## Products & Services
- **Omni AI Analytics Platform**: Core SaaS platform that includes AI chat (“Ask”), point-and-click workbook builder, SQL IDE, spreadsheet interface, dashboards, and automated insights (“Summarize”). Built on a semantic layer that enforces permissions, governance, and version control via Git.
- **Embedded Analytics**: White-label solution with SSO embedding, APIs, and MCP server for integrating AI analytics into customer products.
- **Semantic Layer & Modeling Agent**: Captures business logic, metrics, and context; AI agents help build models and generate documentation.
- **MCP Server & APIs**: Access the semantic layer from any AI platform (e.g., custom GPTs, Copilot). Integrates with Snowflake, BigQuery, Databricks, Redshift, Postgres, Clickhouse, MySQL, MotherDuck, SQL Server, dbt, Git.

## Market Standing
- **Valuation**: $1.5 billion (per LinkedIn, likely Series C)
- **Key Metric**: Total funding $235.9M (Series C $120M led by ICONIQ Growth, April 2026; Series B $69M led by ICONIQ Growth, April 2025; Series A $17.5M led by Redpoint, August 2022; Seed $9.4M led by First Round Capital, April 2022; additional venture round $20M in 2024)
- **Notable Investors/Partners**: First Round Capital, Redpoint, ICONIQ Growth; also acquired Explo (a smaller analytics startup)
- **Growth Signals**: 193 employees (monthly headcount growth +5.9%); active hiring with 30 open roles; opened offices in Dublin, Sydney, Toronto, Philadelphia; >20,000 LinkedIn followers (+9.6% monthly); talent sourced from Snowflake, Fivetran, Google, dbt Labs, Looker, Sigma, Monte Carlo.

## Competitive Advantages
- **Semantic layer**: Ensures AI-generated answers are accurate, governed, and consistent with defined business logic, reducing “hallucinations” and data discrepancies.
- **Unified experience**: Supports multiple interfaces (SQL, spreadsheet, AI chat, point-and-click) in one platform, allowing teams to work in their preferred tool without switching contexts.
- **Git-based version control**: Enables collaboration, branching, and rollback – a rare feature in analytics tools, appealing to engineering-minded data teams.
- **Embedding & MCP server**: Allows companies to surface AI analytics directly in their own products, expanding use cases beyond internal BI.

## Strategic Focus
- **Scaling AI analytics**: Deepening AI capabilities (agents, automated summaries, modeling) while maintaining governance and security.
- **Global expansion**: Growing sales and engineering teams in EMEA (Dublin) and APAC (Sydney), with a focus on enterprise customers.
- **Platform ecosystem**: Building integrations with modern data stacks (dbt, Snowflake, Databricks, MCP) and enabling third-party AI platforms to query the semantic layer.
- **Acquisition integration**: Absorbing Explo to accelerate embedded analytics capabilities.

## Why Work Here
- **Culture & Mission**: “Get insights without waiting in line” – strong emphasis on empowering users with fast, trustworthy data. Engineers share weekly updates on AI, Git, and dbt integration.
- **Remote/Hybrid Policy**: Hybrid model with regional hubs (San Francisco, Santa Cruz, Philadelphia, Toronto, Dublin, Sydney). Some roles are fully remote (US) or on-site/hybrid depending on location.
- **Notable Perks**: Work with a team of experienced data veterans (ex-Looker, Google, Stitch, Talend). Opportunity to shape the future of AI-native analytics. Strong engineering culture rooted in governance and developer experience.
- **Growth Trajectory**: Rapidly scaling (193 employees, recent $120M Series C at $1.5B valuation). Active hiring across sales, engineering, support, and marketing – 30 open positions as of mid-2026.

## Sources
1. [omni.co](https://omni.co/) – Official website
2. [omni.co/about](https://omni.co/about) – Founders and company story
3. [linkedin.com/company/exploreomni](https://www.linkedin.com/company/exploreomni) – Company details, funding, headcount, revenue, employee growth
4. [builtin.com/company/omni-omnico](https://builtin.com/company/omni-omnico) – Job listings, offices, culture summary
5. [jobs.ashbyhq.com/omni](https://jobs.ashbyhq.com/omni) – Active careers page

## Other roles at Omni

- [Product Expert, Customer Support (Dublin)](https://feeny.ai/job/product-expert-customer-support-dublin-omni-dublin-p3pm423zp5h1) — Dublin, Ireland
- [Product Marketing, Enterprise](https://feeny.ai/job/product-marketing-enterprise-omni-united-states-ztpfyeak2v19) — United States
- [Product Engineer](https://feeny.ai/job/product-engineer-omni-united-states-q6n3ym10690q) — United States
- [Technical Support Manager](https://feeny.ai/job/technical-support-manager-omni-san-francisco-tcgm45wdk3gv) — San Francisco, CA
- [Product Expert, Customer Support (Sydney)](https://feeny.ai/job/product-expert-customer-support-sydney-omni-sydney-zedrrxdkbd1j) — Sydney, Australia
- [Account Executive, Enterprise (Hebrew Speaking - Israel)](https://feeny.ai/job/account-executive-enterprise-hebrew-speaking-israel-omni-dublin-xqhb26f4wvry) — Dublin, Ireland
- [Business Development Representative, Strategic (North America)](https://feeny.ai/job/business-development-representative-strategic-north-america-omni-san-francisco-yme9c15jyrpz) — San Francisco, CA
- [Business Development Representative (APAC)](https://feeny.ai/job/business-development-representative-apac-omni-sydney-k5cgtseh1b9m) — Sydney, Australia
- [Business Development Representative (EMEA)](https://feeny.ai/job/business-development-representative-emea-omni-dublin-4mqrc24666fv) — Dublin, Ireland
- [Managing Architect (French Speaking - EMEA)](https://feeny.ai/job/managing-architect-french-speaking-emea-omni-dublin-ireland-or-rc9dgkcz5d94) — Dublin Ireland OR, United Kingdom