FU

Engagement Manager

FurtherAI
Posted onFeb 17, 2026
LocationSan Francisco, California, United States | New York, New York, United States (On-site)
Employment typeFull-time
Salary$180k – $250k Yearly

Agent Engagement Manager


About the Role

We are seeking our first Agent Engagement Manager at FurtherAI. This is a high-impact role based full-time, in-person in San Francisco. You will own end-to-end customer implementations—from kickoff through go-live and adoption—ensuring customers achieve rapid, measurable value from FurtherAI. You'll work closely with founders, engineers, and our go-to-market team to turn customer feedback into product improvements and establish scalable delivery processes from the ground up.

Why Join FurtherAI?

  • High Impact: Own the customer journey from signed contract to successful deployment and beyond.

  • Real Ownership: Build implementation playbooks, shape our delivery methodology, and establish best practices that will scale with the company.

  • Mission-Driven: Help reinvent commercial insurance with reliable, intelligent AI workflows.

  • Early Team: Join a tight-knit, high-performing group shaping the future of insurance work.

What You'll Do

  • Own end-to-end customer implementations: 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

  • Translate customer feedback into product insights and advocate for customer needs with the product team

  • Build and codify delivery best practices—playbooks, templates, and documentation that reduce onboarding time for future hires

Core Requirements

  • Willing and able to work 5 days per week in-person in San Francisco or NYC

  • Comfortable with ambiguity, long hours, and a fast-paced startup environment

  • Demonstrated hunger and growth mindset

  • 3+ years of experience leading customer implementations, enterprise deployments, or technical projects

  • 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

  • Comfortable handling objections and navigating customer resistance

  • MBB consulting background (McKinsey, BCG, Bain)

Ideal Qualifications

  • Insurance industry experience

  • Experience implementing SaaS or AI products for enterprise 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)

  • 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

If you have a strong implementation background, thrive in high-ownership environments, and want to shape the future of insurance with AI, we want to hear from you.

You can look forward to the following benefits:

  • Fully covered, best-in-class health, dental, and vision benefits

  • Competitive Compensation & meaningful stock options

  • Unlimited PTO

  • Outstanding in-office culture in the heart of San Francisco

  • Lunch and dinner onsite

  • Team events, such as happy hours and off-sites

  • Commuter benefits

  • Company 401(k)

Salary: $180K – $250K • Offers Equity • Offers Bonus

FurtherAI provides a domain-specific AI workspace for insurance professionals that automates complex workflows like submission intake, policy comparisons, and underwriting audits to reduce manual work and improve efficiency.

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