GTM Associate

Omnea Inc.

Job Overview

Location

London

Job Type

Full-time

Full Job Description

📋 Description

• Own the top of funnel for sales by identifying strategic enterprise accounts, executing multi-channel outbound campaigns, and qualifying high-potential opportunities to build a scalable pipeline.
• Break into new markets by researching, prioritizing, and targeting companies for outreach, designing and running targeted experiments to validate go-to-market strategies and outmaneuver competitors.
• Support live enterprise deals alongside the Chief Commercial Officer and Commercial Leads by drafting RFP responses, preparing proposals, managing pipeline dynamics, and contributing to closing strategies.
• Plan and execute c-suite level events including CFO leadership roundtables, executive dinners, and industry-focused gatherings to nurture relationships with senior buyers and accelerate deal cycles.
• Operate with founder-level ownership by shaping the GTM narrative from the ground up, influencing product-market fit through direct customer feedback and market insights.
• Drive measurable revenue impact through direct contribution to sales outcomes, with bonus compensation tied to both company revenue and individual pipeline generation.
• Accelerate career progression by transitioning into an enterprise deal-making role within 8–12 months, with clear pathways to sales leadership or adjacent commercial functions.
• Collaborate with high-performing operators from McKinsey, JPMorgan, Meta, Y Combinator, and high-growth startups to learn and execute at the highest commercial standards.
• Engage directly with C-level executives at global enterprises including Spotify, MongoDB, Monzo, and Albertsons to understand procurement pain points and position Omnea’s AI-native platform as the solution.
• Work in-person on Tuesdays, Wednesdays, and Thursdays at Omnea’s London office to foster collaboration, build culture, and maintain alignment during this critical early-stage growth phase.
• Contribute to a commercial culture that values ambition, transparency, and relentless execution — where every role directly impacts revenue and business growth.
• Participate in a rigorous interview process including an initial screen, sales team interview, take-home challenge, and final in-person round to ensure cultural and performance fit.

🎯 Requirements

• 1–4 years of experience in an elite environment such as law, banking, consulting, startups, or venture capital
• Demonstrated drive to own revenue growth and accelerate into a leadership role within 12 months
• Strong interpersonal skills with ability to build trust and impress C-suite executives in client-facing settings
• Willingness to roll up sleeves, perform grunt work, and operate with founder-level ownership
• Charismatic communicator with clarity, confidence, and relationship-building aptitude
• Competitive mindset with proven hunger to win and tackle challenging objectives

🏖️ Benefits

• Bonus compensation tied directly to company revenue and individual pipeline impact
• Competitive geo-localised benefits package tailored for the UK market
• In-person work culture with three office days per week (Tues–Thurs) to enable collaboration and team cohesion
• Fast-track career progression with clear pathways to sales leadership or adjacent commercial roles
• Exposure to global enterprise clients and high-performing operators from top-tier firms
• Opportunity to be part of a rapidly scaling, venture-backed startup recognised as Europe’s 4th fastest-growing and UK’s #1 Best Medium-Sized Tech Company to Work For

Skills & Technologies

MongoDB

Junior

Remote

Degree Required

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Omnea Inc.

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About Omnea Inc.

Omnea builds AI-driven procurement software that automates vendor sourcing, contract negotiation and spend analysis for mid-market and enterprise teams. The platform ingests historical purchasing data, benchmarks prices against live market feeds and generates compliant purchase orders within existing ERP and accounting systems. Founded in 2021, Omnea serves technology, manufacturing and healthcare companies across North America and Europe, reducing manual procurement tasks by up to 80 percent and cutting average purchase cycle times from weeks to hours through machine-learning recommendations and pre-approved supplier catalogs.

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