San Francisco, CA
AI workspace automating insurance workflows
FurtherAI builds a domain-specific AI workspace for insurers, MGAs, brokers, and carriers. It automates complex tasks like submission intake, policy comparisons, underwriting audits, and claims processing. This enables teams to focus on high-judgment work, improving speed and accuracy in commercial insurance operations.
Own product direction as the first product hire, partnering with founders to define and ship trusted AI-agent products for complex insurance workflows. The role requires 5+ years of product experience, technical fluency with LLMs and agents, strong discovery skills, and a high-ownership builder mindset.
Build FurtherAI's People function from the ground up as the first People Operations Lead. Own employee lifecycle, relations, org design, performance processes, and HR systems while partnering with GTM, Engineering, Product, and Design leaders on talent and scaling decisions. Requires 5-8 years of HR/People experience with strong judgment and execution skills.
Lead and scale FurtherAI's AI organization, owning technical direction for production LLM/agent systems in insurance. Build and manage teams across AI infrastructure, agent intelligence, and agentic products while staying hands-on in code and architecture.
Build and optimize AI agent orchestration and reasoning systems for the insurance industry. Requires 6+ years in ML/AI, strong Python skills, and exceptional LLM prompting ability.
Builds enterprise-grade AI agents for insurance customers by collaborating with CTO, translating customer needs into production solutions, and implementing cutting-edge AI capabilities. Requires 3+ years consumer-facing engineering with strong Python backend experience.
Leads enterprise demand generation strategy, builds pipeline coverage, optimizes full funnel, scales channels like ABM and paid media, and partners with Sales/RevOps. Requires 7-10+ years B2B SaaS/AI experience owning pipeline/revenue targets and modern demand stack fluency.
Leads end-to-end customer implementations for AI insurance platform, managing kickoffs, timelines, integrations, adoption, and feedback translation to product. Requires 3+ years in implementations, strong project management, and technical fluency; onsite in SF or NYC.
Owns social media strategy and execution across LinkedIn, X, and YouTube for AI insurance startup. Creates compelling content, edits short-form videos, engages community, analyzes metrics. Requires 2-4+ years experience, startup background, and tools like Adobe/Canva/Figma.
Leads full enterprise sales cycles, builds pipelines, closes high-value deals, and shapes sales strategy in an early-stage AI startup. Requires top-performer track record in B2B SaaS, early-stage experience, and in-person commitment.