Commercial Associate

Omnea Inc.

Job Overview

Location

New York

Job Type

Full-time

Full Job Description

📋 Description

• Own a territory from day one and drive real revenue by building outbound pipeline from scratch in a new market through multi-channel sequences
• Work live enterprise sales cycles alongside experienced Account Executives, supporting RFP responses, proposals, and competitive positioning
• Plan and execute C-suite events including dinners, roundtables, and CFO leadership series to build relationships with senior buyers
• Transition into a full closing role with your own quota and territory within 3–12 months based on performance and starting level
• Operate as the GM of your own market, making autonomous decisions to expand presence and accelerate growth
• Engage directly with enterprise clients across industries including technology, finance, and retail, such as Spotify, MongoDB, Monzo, and Albertsons
• Participate in a structured early-career GTM program designed to accelerate commercial skills faster than any other program
• Receive direct mentorship from senior leadership including the CCO and founders with proven track records scaling startups like Tessian
• Contribute to Omnea’s rapid growth as the 4th fastest-growing startup in Europe and #1 Best Medium-Sized Tech Company to Work for in the UK
• Work in-person on Tuesdays, Wednesdays, and Thursdays at the New York office to foster collaboration and company culture during this critical growth phase
• Receive competitive geo-localised compensation with OTE ranging from $130k (Level I) to $150k (Level III) based on prior experience
• Be evaluated on potential and performance, not pedigree — no prior sales experience required if you demonstrate commercial sharpness and hunger to win
• Operate in a high-autonomy environment where ambiguity energizes rather than slows progress, and permission is not required to act
• Build trust quickly and confidently present to C-level executives, holding the room in high-stakes conversations
• Contribute to a mission-driven company reinventing enterprise procurement through an AI-native platform that eliminates months-long approval cycles
• Join a team of ex-founders and operators who have built and exited unicorns, shipping world-class products at scale
• Be part of a culture that values ambition, commercial grit, and building something remarkable — not just supporting it

🎯 Requirements

• Commercially sharp with a high-achiever mindset and ability to think in first principles
• Demonstrated hunger to own revenue and build toward leading a team, expanding a market, or starting a company
• Ability to build trust quickly and confidently engage C-suite executives
• Willingness to work in-person on Tuesdays, Wednesdays, and Thursdays in New York City
• Competitive background or experience in high-paced environments (e.g., banking, consulting, VC, startup) is a strong plus
• No prior sales closing experience required for Level I, but some closing experience required for Level III

🏖️ Benefits

• Competitive geo-localised compensation with OTE up to $150k based on experience level
• Access to Omnea’s US Benefits Package including health, wellness, and professional development offerings
• Opportunity to graduate into a full closing role with own territory and quota within 3–12 months
• Participation in the Omnea Future Founder’s Fund, supporting employees who want to launch their own companies

Skills & Technologies

MongoDB

Junior

Remote

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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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