Neurolabs is rewriting the playbook for retail execution with Visual AI. We’ve just raised $7.8M in Series A funding led by Nauta, with follow-on from existing investors LAUNCHub, Lunar Ventures, and Techstart. Our platform helps some of the world’s top CPG brands unlock real-time, SKU-level shelf visibility—without fragile audits or slow tools.
Role Overview: We're seeking a highly motivated Account Executive (AE) to drive new business in the mid-market. This role demands a hunter mentality, expertise in complex sales cycles, and the ability to lead technical discussions with business and technology stakeholders. You 'll identify, engage, and close high-value mid-market contracts, making our solution essential to customers ' technology stacks. The ideal candidate excels in fast-paced environments, adapts quickly, and is results-driven.
Role Responsibilities:
- Generate revenue through strategic outbound prospecting, networking, and referrals. Lead the full sales cycle from prospecting to closing, ensuring predictable deal execution.
- Build relationships with key decision-makers, including CTOs, CIOs, and business unit leaders. Run discovery sessions to understand customer needs, demonstrate value, and create compelling proposals.
- Orchestrate multi-threaded sales campaigns, mapping stakeholders and driving decisions across teams.
- Track pipeline and forecast revenue using CRM tools. Master the competitive landscape to position our solution effectively.
- Develop and execute a go-to-market strategy for mid-market accounts in the CPG industry.
- Close mid-market contracts while building long-term partnerships.
- Work with product, marketing, and sales engineering teams to deliver customer solutions.
- Proven Mid-Market Sales Experience and Hunter Mentality
- 5+ years selling B2B SaaS solutions/technology infrastructure, ideally in CPG or retail.
- Drive to win new business, build pipeline, and close deals.
- Technical Acumen and Competitive Drive
- Experience selling to technical leaders, with knowledge of APIs and mid-market infrastructure.
- Determination to win, overcome challenges, and exceed targets.
- Exceptional Communication and Team Spirit
- Ability to explain complex ideas clearly and build trust with mid-market buyers.
- Collaborative approach, leveraging internal resources to win deals.
- Strategic Thinking
- Skill in mapping mid-market organisations and building consensus among stakeholders.
- Sales Process Excellence
- Mastery of value-based selling and methods like MEDDIC and Challenger.
- Adaptability
- Thrives in fast-paced environments while helping improve processes.
- Hybrid working (three in-office days per week near King’s Cross, London).
- Equity options available.
- Private medical insurance (AXA Health).
- 34 days of annual leave (including public holidays).
- Pension scheme (5% employee + 3% employer contribution).
- Annual company retreat abroad.
Please note: We are not accepting unsolicited CVs or candidate introductions from recruitment agencies. Any profiles submitted without prior agreement will be considered the property of Neurolabs, and no fees will be payable.
Top Skills
What We Do
Neurolabs is the "go-to" Computer Vision vendor for the CPG space, with access to a product catalogue of >100K SKUs.
We develop algorithms to visually interpret and understand the grocery & CPG world. Using images from cameras, our Synthetic Computer Vision (SCV) models accurately identify and classify objects of interest, helping computers “understand” what they “see”.
Our technology is universally applicable across the CPG lifecycle. We help our partners automate CPG object recognition tasks in physical stores, logistic centres or manufacturing plants.
Our approach substitutes the expensive and rare real-world data required to train Deep Learning algorithms, with synthetically generated data to provide massive low-cost data sets in a fraction of time.
Our technology empowers both small and large customers to implement state-of-the-art CV applications with minimal incremental resources and costs — no coding required, no tedious data labelling, no image gathering.
