---
title: 'Product Marketing, Enterprise at Omni'
canonical: 'https://feeny.ai/job/product-marketing-enterprise-omni-united-states-ztpfyeak2v19'
type: 'job'
last_seen: '2026-09-12'
---

# Product Marketing, Enterprise at Omni

- **Company:** Omni
- **Location:** United States
- **Compensation:** $165k–$245k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/omni/d42d9a91-6c6a-480a-b1ad-04ee5550c827

## 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.

## About the Role

As Omni moves further into enterprise, industry, and line-of-business selling, we need a Product Marketer dedicated to the value and deal work that helps our biggest, most complex opportunities close. You'll proactively partner directly with Enterprise Account Executives, Solutions Engineers, and Customer Success to build the narratives, decks, and business-value content that move strategic deals forward.

This is a hands-on, builder's role on a small, ambitious Product Marketing team. You'll spend time understanding deals: shaping the story for a specific prospect, translating a technical proof-of-concept into a business case a CFO will understand, and turning a single great customer win into a reusable asset the whole enterprise sales team can use again.

You'd be a great fit for this role if you love building strong narratives across sales decks, customer stories, and value content as much as building reusable assets and processes to help a quickly growing sales team.

## Responsibilities

- Build and continuously sharpen Omni's core enterprise sales decks, and customize it for specific industries, personas, and strategic opportunities
- Partner with Enterprise AEs and Solutions Engineers to develop deal-specific content — ROI narratives, executive one-pagers, business cases — that helps move strategic, multi-stakeholder deals through procurement, security, and executive review
- Turn customer wins into compelling customer story presentations and reference content, working directly with customers and the field to capture industry- and role-specific narratives
- Translate technical concepts into business value content (one-pagers, decks, ROI frameworks) for economic buyers who care about outcomes
- Build a library of reusable, easily customized content so AEs can self-serve for common scenarios, freeing you to focus on the highest-leverage strategic deals
- Be a proactive partner to the field: show up in deal reviews and account plans, spot where content or narrative gaps are costing us deals, and fix them before you're asked
- Support our growing enterprise motion as we expand into new industries and lines of business, working closely with the rest of the Product Marketing team on messaging and positioning consistency
- Help build Omni. We're a small team supporting ambitious GTM goals, so you'll get hands-on with projects outside a typical enterprise PMM remit

## About You

- 5+ years of product marketing, competitive/deal-based marketing, or a hybrid sales-and-marketing role, ideally in B2B SaaS
- A track record of building content that directly influenced enterprise deal outcomes
- Strong storytelling instincts and the ability to translate technical concepts into business value for VP/C-level audiences
- Comfort working directly with sales and customers in-deal, including in front of prospects and at events
- High agency and bias to action: you notice a gap in a deal and go build the fix rather than waiting to be asked
- Experience in BI, data analytics, or the modern data stack is a strong plus

Nice to Haves

- Experience supporting industry-specific or line-of-business selling motions
- Experience partnering with Solutions Engineering on technical deal support

## 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

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