You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Be the first to open itNo views yet
Omnea

Enterprise Sales Engineer

  • Hybrid
  • 6+ years

Salary

$240,000 - 300,000/ year

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

Our Mission

At Omnea, we’re reinventing how enterprise businesses operate, starting with the most painful parts: procurement – where a single purchase can drag on for months, trigger 50+ emails , and pull in Finance, Legal, Security, and IT just to get something approved.

We’ve raised $75M from Khosla Ventures, Insight Partners, and Accel to change that. Our AI-native platform connects every person, step, and system so buying is fast, safe, and efficient – one place to request, automated approvals and renewals, real-time supplier risk, and complete spend visibility.

The opportunity is massive. Every enterprise on the planet has this problem and nobody has solved it . We’ve 10x’d ARR to double-digit millions in 18 months and are trusted by global enterprises like Spotify, MongoDB, Monzo, and Albertsons. We’re now the 4th fastest growing startup in Europe & the Sunday Times' 1 Best Medium Sized Tech Company To Work for.

Our team previously scaled Tessian ( cybersecurity tech, backed by Sequoia, Balderton, Accel , acquired post-Series C), and our team includes ex-founders operators who’ve grown unicorns, shipped world-class products, and executed at the highest levels. You’ll work alongside leaders like Ben , Abs , Sabrina , and Rebe .

Find out more about the team and life at Omnea here .

Responsibilities

  • AI is changing what it means to run enterprise pre-sales. Building a custom demo, standing up a proof-of-concept environment, or drafting responses to a security questionnaire used to mean days of manual configuration and copy-paste from old RFP answers. Increasingly, that first-draft work can be directed rather than done by hand: AI can generate demo environments, draft PoC configurations, and produce a first pass on technical RFP responses.
  • The job shifts with it. Instead of building every demo and proof point from scratch, you specify exactly what a prospect needs to see, direct AI to build the first draft, and apply the judgment AI can't: does this PoC actually prove the thing this customer's IT security team will ask about, does this demo reflect how their approval hierarchy actually works, is this RFP answer technically accurate or just plausible-sounding.
  • As Omnea's AI Sales Engineer, you're the technical authority in our enterprise sales process, working alongside Sales to win some of the world's largest companies. You run discovery, build and direct demos and PoCs, and become the trusted technical advisor a prospect leans on to decide whether Omnea is real. You're deep in the modern finance and procurement stack - ERPs, CLMs, GRC, AP automation - and you use that expertise to judge what AI produces, not just to present it.
  • This is a foundational hire on our Sales Engineering team, working closely with Sales, Product, and the Customer team who take a deal from signed to live.
  • Own technical discovery and demos: Run technical discovery sessions with prospects, direct AI to build a first-draft demo environment tailored to what you've learned, then adapt it based on what only a human would catch - a workflow quirk, a compliance requirement, a stakeholder's pet objection.
  • Drive PoCs end to end: Scope and own proof-of-concepts in collaboration with Product and the Customer team, directing AI to configure the environment fast and applying your own judgment on whether the PoC actually proves what the prospect needs to see to move forward.
  • Answer the hard technical and security questions: Direct AI to draft first-pass responses to RFPs, RFIs, and security questionnaires, then validate every answer against the prospect's actual requirements - a wrong answer here can lose the deal or create a problem after signature.
  • Be the bridge between Sales, Product, and Customer: Translate what you're hearing in the field into product feedback, and hand off cleanly to the Customer team so nothing gets lost between a signed contract and a live deployment.
  • Build the pre-sales toolkit: Keep demo environments, technical documentation, and RFP libraries sharp, using AI to draft and refresh materials as the product evolves, and refining what works based on what's actually landing with prospects.

Requirements

  • We don't expect you to know how to do all of this on day one. TL;DR: you're technical enough to be a genuine authority in the room, customer-facing enough to be trusted by a CFO or a CISO, and comfortable directing AI to do the heavy lifting so you can focus on the judgment calls only you can make.
  • 3-7 years in sales engineering, solutions engineering, or technical consulting, ideally in B2B SaaS
  • Ideally you have experience in the modern finance or procurement stack - you understand procurement and AP automation, and have demoed, implemented, or administered tools like ERPs, CLMs, or GRC platforms
  • Comfortable directing AI tools to produce first-draft demos, configurations, and RFP responses, with the judgment to catch what's wrong before a prospect sees it
  • A strong technical foundation: you can learn a complex software platform fast and go deep enough to answer hard security and architecture questions
  • An excellent communicator who can simplify technical concepts for multiple stakeholders from CFO, CPO to CISO.
  • A proactive problem-solver with real troubleshooting instincts and a customer-first mindset
  • Comfortable owning RFPs, RFIs, and IT security questionnaires end to end, including the technical requirements that come with them
  • At Omnea, we embrace diversity. To build a product that's loved by everyone, we're best served by a team with all sorts of backgrounds, experiences, and perspectives. We encourage you to apply even if your experience doesn't quite match the full job spec! And regardless of your race, religion, colour, gender, or anything else! If you think you could be a good fit for Omnea, please reach out.
  • A few things to note:
  • We offer competitive geo-localised benefits, and you can check out our UK Benefits Package here and our US Benefits Package here .
  • We work Tuesdays, Wednesdays & Thursdays in-person at our offices. At this early stage of our company life-cycle it's important to us that we get this together-time, and you can read more about why we believe this is a winning move here
  • We're commercial, ambitious and we don't pretend otherwise! We're actively seeking folks looking to make the most of a career-defining opportunity, with the hunger to be part of building something really impressive . You can see our values here and our Omnea Future Founder's fund here !
  • We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use notetakers (whether added to video calls or in the background).
  • We are proud to be recognised for both our culture and product, and we are just getting started. Join us as we grow!
  • Legal note: if you are viewing this posting outside of the Omnea careers' page, this may be an auto-generated advertisement and may lack the full range of advertised information - please click through to the posting at https://jobs.ashbyhq.com/omnea to view additional advertised information on this posting.
  • Additionally, where roles have hard-specified requirements (e.g. [x] days in office, unable to provide visas, etc), if in your application you provide deterministic check-box confirmation that you do not meet the hard-specified requirements, deterministic (not AI or subjective) automatic rejection criteria are in place.

Where you’d work

Part of the week in the office

You can work from

  • United States

About the company

Omnea

  • Industry: SaaS

Office in New York, United States

Also hiring in London, United Kingdom

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 21 checks run
  • 2 red flags

Still hiring?

14 checks

No red flags

How crowded?

7 checks

2 red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • MongoDB
Type
Full-time
Industry
SaaS
Specialty
Solutions Engineering
Region
United States
Pay period
Annual
Show 6 more factsShow less

Role

Category
Solutions & Support
Specialty
Solutions Engineering
Experience
7+ years
Tech stack
  • MongoDB

Location

Work model
Hybrid
Region
United States
Office
  • New York, United States
Remote from
  • United States

Compensation

Salary
$240,000 - 300,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

Something wrong with this vacancy?

Similar vacancies

  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Solutions Architect

    Salary by agreement

    • Hybrid · Dublin
    • Senior
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Solutions Architect

    Salary by agreement

    • Office · Melbourne
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Applied AI Engineer

    $280,000 - 320,000 / year

    • Office · Washington, Dc
    • Mid-Level
  • Early Window: Be the first to open itNo views yetCloses in
    Company hidden

    Sales Engineer

    Salary by agreement

    • Hybrid · New York City, San Francisco
    • Mid-Level

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason