San Francisco, CA
AI-native commercial insurance brokerage
Harper builds an AI-powered brokerage automating commercial insurance workflows like quoting, underwriting follow-ups, and servicing for small- to mid-sized businesses across industries such as manufacturing, tech, hospitality, and construction. It matches clients with 160+ carriers for coverages including general liability, professional liability, and workers' comp, delivering results in 24-48 hours instead of weeks. This enables faster, cheaper coverage while maintaining human expertise amplified by AI.
Build and ship AI-powered product features end-to-end across the full stack. Embed with sales, service, and underwriting teams to identify problems, rapidly prototype and deploy solutions using the latest AI tools and models, own business metrics, and drive measurable impact.
Build and own core infrastructure, observability, and tooling for a hyper-growth AI insurance platform running 200+ services and thousands of daily agentic AI decisions. Focus on scale, reliability, developer velocity, and AI eval systems.
High-velocity SMB sales role closing 100+ calls/day with small business owners using AI tools to prep and qualify leads. Focus on maintaining close rates at scale, generating revenue, and feeding insights back to improve the AI system. Requires on-site presence in San Francisco with early starts and a fast-tracked insurance license.
Build AI-powered automations and agents that turn raw data outputs into actionable insights for GTM, growth, and operations teams. Requires 3+ years building workflows in automation platforms and AI tools, plus Python scripting ability.
Growth-oriented data analyst embedded with marketing to synthesize channel performance, own KPI reporting, and drive real-time budget and experiment decisions from messy data.
Own and execute Harper's content program across blog, email, social, and field assets. Write, edit, and manage customer stories and thought leadership while tracking performance to drive authority and conversions.
Own end-to-end SEO and GEO strategy to drive organic visibility for commercial insurance queries across Google, Bing, and AI platforms like ChatGPT and Perplexity. Requires 5+ years SEO ownership with strong technical and content skills.
Own Harper's account-based marketing motion: build targeting systems, run vertical-specific multi-channel campaigns, and drive measurable pipeline and revenue outcomes.
Own end-to-end CRM and lifecycle marketing for a fast-growing AI insurance startup. Design segmentation, automated campaigns, and referral programs that drive retention, LTV, and revenue.
Forward Deployed Operations role embedding with operators to run daily workflows while identifying and shipping automations that remove friction. Requires 2-4 years experience, SQL + Python/TypeScript, and hands-on AI tooling experience.
Own recruiting operations end-to-end: manage Ashby ATS, coordinate complex interviews, run interviewer training, and deliver a high-quality candidate experience at a fast-growing AI insurance startup.
Founding Head of Partnerships building distribution channels through regulators, lenders, landlords, and advisors at an AI-native commercial insurance startup. Close first marquee partners, structure economics, and scale the motion.
Own end-to-end launch of new insurance verticals: identify emerging markets, pressure-test opportunities, design workflows, acquire first customers, and hand off repeatable motions. Requires 3-6 years of startup GTM/ops experience and comfort with ambiguity.
The Learning & Knowledge Systems Lead will transform tribal knowledge into structured, AI-legible information and ensure its operationalization. This role involves embedding with various teams to document workflows, authoring skills for AI agents, and driving the adoption of new playbooks and systems.
As a Staff Engineer, Harness Engineering, you will own the meta-harness that powers all Harper AI agents, both product and coding. This involves designing and building the agent loop, execution environment, tool layer, and model-provider abstraction to ensure efficient and reliable agent operation.
The Senior Member of Technical Staff, AI Quality will build and operate evaluation frameworks for production LLM systems, focusing on creating robust regression suites and monitoring tools to ensure the quality and reliability of AI agents.
Embed with sales, service, and ops teams to capture tribal knowledge and turn messy workflows, transcripts, and Slack threads into structured, AI-readable operating memory, playbooks, and source-of-truth documentation.
Own a module end-to-end in an AI-native insurance brokerage: drive KPIs, encode domain nuance into AI agents, build evals, and prototype rapidly with modern AI tools. 1-3 years PM or operator experience required; onsite in San Francisco.
Leads paid acquisition strategy and execution across insurance lead-gen channels like Tivly, Bold Penguin, Google, and Meta. Optimizes campaigns in real-time with GTM data, balances demand with sales capacity, and scales new channels to drive revenue in insurtech startup.
Owns field marketing in select markets, building events, directing local digital ad spend, forging partnerships, and driving brand awareness among small business owners to generate pipeline and revenue.
Conduct high-volume outbound and inbound calls to prospect business owners, qualify leads quickly for insurance needs, capture precise information, and hand off to sales team. Requires prior phone-based sales experience, strong multitasking, and in-office presence in San Francisco.
Operates across sales enablement, underwriting, customer service, and carrier relations to keep deals moving, build scalable processes, and translate operational needs into engineering specs in a fast-growing AI insurance startup. Requires 1-3 years in high-pace environments and strong communication.
Review AI-generated outputs for commercial insurance submissions against carrier underwriting standards, build QA processes from scratch, and collaborate with engineers to encode underwriting logic into systems. Requires 7+ years carrier-side P&C experience.
Works directly with CEO on high-impact strategic projects including building AI-driven systems, running analyses, bridging engineering/ops/growth, and managing cross-functional initiatives in a fast-scaling insurtech. Requires 2-5 years in analytical roles like banking/consulting with strong execution under pressure.
Build and scale recruiting function from scratch for rapid growth, sourcing, selling, and closing technical engineering and GTM roles while developing infrastructure and leading a team. Requires 6-10 years recruiting experience with technical background and management of teams.
Builds full-stack AI agents, workflow orchestration, and voice AI systems that automate insurance business operations like lead qualification, customer service, and underwriting at scale. Requires 1-4 years experience shipping production AI with Python/TypeScript proficiency.
Technical generalist embeds with operations teams to identify high-impact problems and rapidly builds AI agents, automations, and tools to eliminate friction. Requires 2-5 years software engineering experience with Python/TypeScript proficiency and business impact focus.
Owns voice AI infrastructure for insurance operations, building scalable outbound/inbound agents, customer service, and underwriting systems with sub-second latency. Requires 3-6 years experience in production voice AI and real-time systems.
Embeds in operations to handle sales, applications, and customer service while documenting processes and edge cases to build scalable AI systems and automations. Targets exceptional early-career talent with high agency for intensive founder-like training.
Senior engineer owning end-to-end AI infrastructure including LLM orchestration, agent architectures, evaluation systems, and scalable platforms for insurance quoting. Requires 3-6 years experience with production AI systems and strong architectural skills.