furtherai - Insurance AI Solutions Lead
Requirements
• Willing and able to work in London and travel to conferences/customers across the UK & Europe as needed. • 5–10+ years of experience in commercial P&C insurance, preferably in underwriting and/or London market, claims, operations, or consulting roles • 3+ years of experience leading customer implementations, enterprise deployments, or technical projects • Deep understanding of insurance workflows, systems, regulatory considerations, and customer pain points • Strong project management skills—capable of driving complex engagements with multiple stakeholders and competing priorities • Excellent presentation skills—can command a room with executives and build credibility quickly with insurance professionals • Comfortable handling objections and navigating customer resistance • Demonstrated hunger, growth mindset, and comfort with ambiguity in a fast-paced startup environment • MBB or Big-Four Consulting background (McKinsey, BCG, Bain, Accenture etc.) with insurance or financial services clients • Experience implementing SaaS or AI products for enterprise insurance customers • Technical fluency—comfortable discussing APIs, integrations, and data workflows (you don’t need to code, but you need to hold your own with engineers) • Ability to translate real-world insurance processes into structured insights to inform product and AI model development • Experience with change management and driving user adoption at scale • Prior experience at a startup or high-growth company where you built processes from scratch • Clear, concise communicator with strong analytical instincts and a customer-centric mindset • If you have a strong insurance background, thrive in high-ownership environments, and want to shape the future of commercial insurance with AI—we want to hear from you. • You can look forward to the following benefits: • Private Healthcare • Competitive Compensation, meaningful stock options, pension • Unlimited PTO • Outstanding in-office culture in the city of London • Lunch and dinner onsite • Team events, such as happy hours and off-sites
Responsibilities
• CUSTOMER IMPLEMENTATION • Own end-to-end customer implementations: pre-sales expertise, project kickoff, discovery, solution design, configuration, testing, go-live, and hypercare. • Lead kickoff calls and workshops with customer stakeholders across business and technical teams • Develop project plans, manage timelines, and keep implementations on track against customer milestones • Partner with engineering to scope integrations and troubleshoot technical issues • Drive adoption by building training programs, identifying champions, and helping customers change how they work • Handle objections, navigate organizational resistance, and keep projects moving when stakeholders go sideways • Surface expansion opportunities and hand off to sales for upsell/cross-sell • INSURANCE DOMAIN EXPERTISE • Serve as the internal expert on commercial insurance workflows, systems, and user needs. • Support sales calls with domain credibility and insight to build trust with prospects and accelerate deals. Domain knowledge of London Market insurance, plus traditional carriers, MGAs and brokers is a must-have. • Help design and validate insurance workflows to ensure our AI agents deliver measurable value • Analyze model behavior and suggest improvements grounded in insurance domain logic • Create evaluation sets and benchmarking frameworks that reflect real insurance tasks • Contribute hands-on to grading outputs or validating model performance • PRODUCT & PROCESS • Translate customer feedback and insurance domain insights into product improvements; advocate for customer needs with the product team • Partner with engineering and product to shape features, evaluate model outputs, and iterate based on real-world use cases • Build and codify delivery best practices—playbooks, templates, and documentation that reduce onboarding time for future hires
Benefits
• High Impact: Own the full customer journey—from pre-sales to signed contract to successful deployment—while shaping how AI is built and validated for real insurance workflows. • Real Ownership: Build implementation playbooks, evaluate model outputs, and establish best practices that will define how FurtherAI delivers value at scale. • Mission-Driven: Help reinvent commercial insurance with reliable, intelligent AI. Your domain knowledge directly informs what we build and how we sell it. • Early Team: Join a tight-knit, high-performing group at an early-stage, VC-backed startup. Grow with the company and benefit from competitive base, commission, equity, and benefits.
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