Why This Job is Featured on The SaaS Jobs
This GTM Systems Engineer role sits at the intersection of product-led SaaS growth and revenue infrastructure, where tooling choices and data design directly shape how a company acquires and expands customers. In an AI-native SaaS operating in enterprise procurement, the go-to-market motion typically spans multiple stakeholders and long evaluation cycles, which makes systems quality, routing logic, and signal capture unusually consequential.
For a SaaS career, this is a strong pathway into modern revenue engineering: building automations, integrating best-in-class platforms, and treating the funnel as an end-to-end system rather than a set of disconnected tools. The remit implies hands-on exposure to API-driven workflows, data modelling, and experimentation around conversion bottlenecks, all of which translate across RevOps, Growth Engineering, and GTM Analytics roles in other subscription businesses.
The role is best suited to an operator with builder instincts who prefers shipping working systems over maintaining admin-heavy setups. It will fit someone comfortable partnering with Sales, Marketing, and Customer Success while staying close to the technical details, and someone who values clear ownership in ambiguous problem spaces. The hybrid setup also signals a preference for regular in-person collaboration alongside remote flexibility.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job 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.
It's a $7B+ untapped market, and our traction reflects the scale of the opportunity: 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.
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.
What we're looking for
We're hiring a GTM Systems Engineer to architect, automate, and scale our revenue engine. This is a high-impact, mid-level role for a builder who blends technical depth with go-to-market strategy.
You won't just manage tools or run campaigns — you'll design and engineer the infrastructure that powers Sales, Marketing, and Customer Success. You'll integrate best-in-class platforms, build intelligent automations and AI agents, and create clean, reliable data flows that enable hyper-targeted outreach, faster sales cycles, and measurable revenue growth.
This role is ideal for a developer-minded operator who wants to build custom solutions, not just configure SaaS tools. You'll work closely with leadership and field teams to translate commercial strategy into scalable, programmatic systems.
We believe in talent density. It took us over 10,000 interviews to hire our first 50 Omneans. You'll be working with operators from places like McKinsey, JPMorgan, Meta, YC, and high-growth startups.
What Can You Expect?
Architect the revenue engine — design, build, and optimise automated workflows across the full funnel: lead qualification, enrichment, nurturing, routing, and omnichannel outreach. Translate GTM strategy into scalable systems that convert pipeline into revenue efficiently.
Build with AI — design and deploy AI agents to automate account research, generate personalised messaging, reduce manual data entry, and provide pre-call intelligence. Leverage modern GTM AI tools (e.g., Clay, Gong, Claude, enrichment APIs, automation platforms) and continuously evaluate new solutions to drive operational leverage.
Power decisions with data — build and manage data pipelines for lead enrichment (firmographics, technographics, intent data). Monitor funnel metrics and conversion rates, conduct root-cause analysis to identify bottlenecks, and systematically test improvements.
Partner across the business — work closely with Revenue Operations, Sales, Marketing, Customer Experience, and Leadership. Translate complex technical systems into clear business outcomes, gather requirements, ship v1 solutions quickly, and iterate based on real-world feedback.
About You
2–4+ years of experience in a technical GTM role — GTM Engineer, RevOps, Sales/Marketing Automation, Solutions Engineer, or similar. Experience in high-growth or fast-paced startup environments is a plus.
You're technically strong — you're comfortable writing code (Python, JavaScript, SQL) and working directly with APIs and JSON. You have hands-on experience integrating GTM platforms (e.g., HubSpot, Gong, Clay) and building custom workflows with automation/orchestration tools (e.g., Zapier, n8n). You have a strong understanding of data modelling, reporting, and analytics tools.
You think in systems — you have a deep understanding of the sales funnel and revenue processes. You see the GTM motion as an interconnected system and can design scalable, repeatable workflows. You have a strong grasp of the business logic behind the data you're moving.
You're a builder — you have strong builder DNA and you'd rather create a solution than work around limitations. You have a bias toward action and shipping v1 quickly. You thrive in ambiguity, learn new tools rapidly, and take end-to-end ownership over systems and outcomes.
You communicate with clarity — you can translate technical architecture into clear business value and collaborate effectively across functions.
Interview process
Initial screen (30 mins)
Technical interview with hiring manager (30 mins)
Take home challenge + interview (60 mins)
Final round in person (2 x 60 mins)
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 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
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!
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