---
title: 'Product Expert, Customer Support (Dublin) at Omni'
canonical: 'https://feeny.ai/job/product-expert-customer-support-dublin-omni-dublin-p3pm423zp5h1'
type: 'job'
last_seen: '2026-09-12'
---

# Product Expert, Customer Support (Dublin) at Omni

- **Company:** Omni
- **Location:** Dublin, Ireland
- **Compensation:** €53k–€85k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/omni/5d83712e-696b-4606-bc00-a8f21416d40c

## 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

We are looking for a Product Expert to be the face and heart of the Omni experience. You’ll blend technical SQL expertise with a [passion for high-touch support](https://review.firstround.com/podcast/how-to-leverage-intuition-customer-support-and-raw-effort-colin-zima-omni-looker/), helping users solve complex data problems while serving as the essential bridge between our customers and our Product and Engineering teams.

## Responsibilities

- Become a deep expert in Omni’s platform and best practices to guide users and partners via Slack.
- Act as the primary expert for customers and partners via Slack, while surfacing feature requests and reproducing bugs to improve the product.
- Deliver "above-and-beyond" technical help, digging deep to find creative solutions to complex data questions.
- Give voice to customer needs in internal discussions with Product and engineering Partner with Product, Engineering, and Marketing to share usage trends, report bugs, and surface feature requests.
- Build trust-filled advisory relationships and contribute to our community site with troubleshooting guides and design patterns to enable self-service.
- Work with Solutions Engineering to identify trends and recommend new tools and product improvements that make data teams more successful

## About You

- Strong SQL skills (specifically for analytics) and 1+ years in data analytics or business intelligence preferred.
- You genuinely enjoy daily interaction with customers and have a natural desire to teach and help others.
- You love digging into the "why" behind a technical issue and are always eager to learn new tools.
- You can translate complex data concepts into clear, actionable advice, both in writing and verbally.

Location This role is hybrid in Dublin (3 days per week in-office).

## 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 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
- [Software Engineer, Growth Data Platform](https://feeny.ai/job/software-engineer-growth-data-platform-omni-san-francisco-a8r8g3fdr4aw) — San Francisco, CA
- [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