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.
Mission: Take a hands-on role in driving customer success for a growing portfolio, including major US customers. Collaborate with the Growth team to understand customer requirements early in the pre-sales process and partner with our Solutions Engineer to guide technical implementation. As the primary point of contact from onboarding through growth, you’ll ensure customers achieve their goals, create scalable processes tailored to enterprise needs, and build the foundation to lead both Solutions Engineers (SEs) and Customer Success Managers (CSMs).
Key Responsibilities
Implementation Strategy & Customer Value Realisation (40%)
- Plan and guide technical implementation strategies across all customers, including large enterprise accounts in the US
- Work closely with internal and external technical teams to ensure smooth integrations that meet enterprise standards
- Collaborate with customers to define success criteria and ensure measurable value delivery
- Identify and act on growth opportunities within accounts, particularly high-value customers
- Ensure adoption of the product and its effective use across global customer workflows
Customer Retention & Growth (40%)
- Drive exceptional renewal rates and maintain strong account health, with a focus on enterprise customers
- Lead strategic review processes (e.g. QBRs/EBRs) to demonstrate ROI and enterprise value delivered
- Drive product adoption and uncover opportunities for upsells and expansions, especially with enterprise customers in the US, UK, and Europe
- Implement systems to monitor account health and prevent churn early
- Leverage customer insights and data to shape expansion and retention strategies
CS Function Leadership & Development (20%)
- Develop scalable playbooks for onboarding, adoption, and customer success tailored to enterprise accounts
- Capture insights and lessons learned from working with major US customers to inform best practices
- Help recruit and mentor team members to grow the CS function
- Build processes that balance the needs of high-value customers with operational efficiency
- Ability to travel internationally, with a focus on the United States 1-2x per quarter, to support customer engagements, attend key meetings, and ensure the success of global accounts.
- 5+ years in enterprise B2B roles, including customer success or technical account management
- Experience managing and growing enterprise accounts with contract values exceeding >$1M, especially in the US
- Proven ability to oversee technical integrations and deliver measurable business outcomes for customers
- Familiarity with pre-sales collaboration to understand and address customer requirements early
- Strong communicator who can simplify complex ideas for technical and business audiences
- Entrepreneurial mindset with a track record of excelling in fast-paced, ambiguous environments
- Necessary documentation and authorisation to travel freely to the United States and Europe to fulfil job requirements
- 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.
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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.
