AI Transformation Manager
DecagonSan Francisco$185k – $235kPosted 26 March 2026
Job Description
AI Transformation Manager
About Decagon
Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.
Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.
We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.
We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.
About the Team
Founder’s Office is where the hardest problems land, and we help solve them for the entire business. We are a small team of former founders, operators, and investors embedded directly with leadership, taking on work of any kind, no matter how different or unique, to improve business operations. Strategy, corporate development, pricing, special projects, and analytics are a few examples. We are analytical and critical cross-functional thinkers from a diverse set of multidisciplinary backgrounds. If it is ambiguous, urgent, or high-stakes, we are probably already thinking about it.
About the Role
As an AI Transformation Manager, you will help accelerate Decagon’s goal of applying AI to becoming the most productive business in the world. You will drive AI adoption across the business and help build an AI-first mindset, so every team leverages new capabilities and has the tools to act quickly and effectively.
Working closely with senior leadership and XFN teams, you’ll parachute into orgs with problems, co-build cutting-edge AI software for non-engineers (and eventually EPD), and use it to drive massive change. You are wearing many different hats -from being a vibe coder, part BizOps maven, strategist, data analyst, sometimes product manager, even chief of staff. You will integrate best-in-class tools and build AI agents to drive efficiencies across the entire company.
This is a very high agency, high impact role. As such, we believe in building together, quickly. This is a fully in-office role based in our San Francisco office 5 days a week.
In this role, you will
- Map out the Stack: lead the technical integration and optimization of external tools (e.g., Salesforce, Clay, Gong, enrichment APIs) into a cohesive, automated engine. Then, map processes, build workflows using tools like Dust, Gumloop, n8n, Notion, Cursor, or Claude, plugins, and orchestrate integrations.
- Build AI Agents: design and deploy agents that optimize account research, reduce manual data entry, and enhance outbound personalization using various tools & APIs, and ship to prod dozens of AI-driven automations or copilots across the company within the first 90 days.
- Programmatic enablement: partner with leadership to translate company-wide strategies into automated workflows, custom internal tools, and programmatic systems. Unlock hundreds of Decagon team members with their “aha” moment of your product - and therefore drive high usage.
- AI Culture Driver: build an AI-native culture for the entire business, by identifying and enabling internal “AI champions,” and builders. Programmatically define templates and best practices into team norms. Turn them into people who can’t live without the automation and will be very unhappy if it is taken away.
- Analytics: measure success by going deep into data and analytics, and have an iterative mindset to problems. Become customer obsessed: customers being our internal stakeholders. We will mea ... (truncated, view full listing at source)
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