---
title: 'Staff Solutions Engineer, Pre-Sales at Omni'
canonical: 'https://feeny.ai/job/staff-solutions-engineer-pre-sales-omni-united-states-9381cnxwnscs'
type: 'job'
last_seen: '2026-09-12'
---

# Staff Solutions Engineer, Pre-Sales at Omni

- **Company:** Omni
- **Location:** United States
- **Compensation:** $240k–$270k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-07
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/omni/e8f225fd-6e48-4693-acf3-f49594abc8a0

## 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 a Staff Pre-Sales Solutions Engineer, you'll be a technical leader across the Solutions Engineering org, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — leading our most strategic evaluations, setting the technical playbook for the team, and helping shape product direction as you share experience and feedback from the field.

## Responsibilities

- Partner with sales leadership to provide technical expertise on our most strategic and complex opportunities, helping uncover and prove out use cases to showcase the value of the Omni platform.
- Lead technical discovery, product demonstrations, and Proofs of Concept (POCs) for our largest and most complex evaluations, enabling prospective customers on how to successfully use Omni on their data.
- Provide technical leadership across the Solutions Engineering team — mentoring SEs and shaping best practices for discovery, demos, and POCs.
- Partner with Product leadership to influence the roadmap based on patterns observed in the field.
- Represent the Solutions Engineering org in strategic, executive-level customer conversations.
- Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.

## About You

- 10+ years of pre-sales business intelligence experience, including deep experience in pre-sales Solutions Engineering, Sales Engineering, or Solutions Architecture roles supporting enterprise customers.
- Deep expertise with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift), transformation tools (e.g. dbt), and the broader analytics ecosystem.
- Proven track record leading technical discovery, product demonstrations, Proofs of Concept (POCs), and technical evaluations with senior business and technical stakeholders at enterprise accounts.
- Demonstrated experience mentoring or leading other Solutions Engineers and shaping team-wide technical practices.
- Strong SQL skills, using SQL for analytics.
- Exceptional, consultative communication skills across technical, non-technical, and executive audiences.
- Prior experience with business intelligence and/or enterprise data analytics tools preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).

Location This is a remote role. You can be based anywhere in the US.

## 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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