---
title: 'Engagement Manager, Professional Services at Omni'
canonical: 'https://feeny.ai/job/engagement-manager-professional-services-omni-united-states-yjn1cj1ehmns'
type: 'job'
last_seen: '2026-09-12'
---

# Engagement Manager, Professional Services at Omni

- **Company:** Omni
- **Location:** United States
- **Compensation:** $140k–$170k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-08
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/omni/70e587b8-cd4e-4354-8e80-75d519f5a473

## 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.

## The Role

Omni is looking for an Engagement Manager to help run delivery operations for our Professional Services team. You'll be the operational backbone behind how PS engagements are scoped, staffed, tracked, and delivered — partnering closely with Managing Architects, subcontracting partners, and Sales to make sure every client receives a world-class engagement.

You'll report to the Regional Director of Professional Services and act as a critical link between Sales, customers, and our partner network.

## Responsibilities

- Own process and hygiene across the full engagement lifecycle — from scoping through Salesforce tracking to subcontract completion — partnering with Sales, Managing Architects, delivery partners, and Finance to keep every transaction clean and on time
- Serve as the primary relationship owner for subcontracting partners in your region — aligning on capacity, coordinating assignments, hosting a weekly sync, and keeping tracking systems current
- Deliver engagement support on customer projects where you have been scoped in., from project management to requirements gathering, and act as a first point of escalation on accounts needing additional support
- Support the pre-sales process — maintaining PS presale collateral, advising Account Executives on positioning and scoping, and coordinating SOWs for non-standard engagements
- Drive operational improvements through structured initiatives, decreasing overhead & rapidly delivering tangible impact
- Bring structure and clarity to ambiguous problems and tasks, and to drive them independently to completion

## About You

- 3+ years in consulting, SaaS, data or other relevant domains
- Track record of exceeding performance objectives as an individual contributor or a manager
- Excellent cross-functional collaborator, especially with sales teams
- Builder mentality — comfortable in an environment where process is still forming
- Clear, direct communicator who gives feedback early and often

Nice to Haves

- Appreciation for core concepts of consulting businesses including; PS products, revenue management, time tracking and utilisation management
- Experience implementing analytics or embedded analytics
- Familiarity with dbt, Snowflake, or modern data stack tooling
- Prior experience at a high-growth Series B/C company
- Experience across the full pro. services delivery cycle from pre-sale through to project completion
- Comfort in a high-pressure deal cycle, understanding stakeholder challenges, empathizing with their position, and outlining a path to success

Interview Process

- Recruiter Screen (30 mins)
- HM Interview (45 mins)
- Interviews with 2 team members (45 mins each)
- Case Study (30-45 mins)
- Founder Interview (30 mins)

## 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

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