Senior Growth Operator, Partner

What You'll Do

• Deploy Product-Led Growth to the Partner Channel: Design and ship PLG experiments targeted at partner-sourced leads from banners to in-product referral triggers
• Build Partner-Facing Product Experiences: Own the end-to-end deployment and iteration of partner experiences including incentives, landing pages, demos, badging, MDF, partner resources, and gamification mechanics that drive referral behavior from partners
• Partner Sell-Through Experiences: Own the full suite of experiences that improve partners' ability to sell Ramp from discovery to referral. If partners can sell better, they refer more.
• Partner Assets: Ship products that enable partners to access marketing assets, product information, and co-branded materials
• Partner Platform Growth Experiments: Design and ship new growth experiments to increase referral volume and deepen partner engagement. Owning the technical scaffolding that enables the partner team to move faster
• Cross-Functional Partnership: Partner closely with sales, data, finance, and engineering teams to scope, prioritize, and ship partner growth features; serve as the product owner for the partner growth surface area
• Build Growth Acceleration Tooling: Build partner-facing tools that make partner sellers more effective and internal-facing tooling to scale marketing campaigns faster and at scale including incentive management, gifting, and event workflows
• Build AI Agents from Scratch: Build autonomous agents that run partner workflows end-to-end. Break down workflows into the pieces agents actually need — skills, tools, evals, guardrails, memory, and feedback loops — and get the decomposition right so they run reliably in production, handle edge cases, and improve over time

What You Need

• Technical foundation: Bachelor's degree or higher in Computer Science, Engineering, or a related technical field
• 3+ years of experience in growth, product growth, or growth engineering at a SaaS or fintech company
• PM brain, engineer hands: You can mock up an MVP and then go build it yourself, scoping what matters, why, and shipping it without waiting for someone else to spec it
• Production AI experience: You've built and shipped agents in production,not theoretical systems, but real ones that ran autonomously, handled edge cases, and got better over time
• Builder mentality: Demonstrated ability to spec, build, and ship product experiences, not just manage them; comfortable writing code, reviewing PRs, and working in a codebase alongside eng and product teams
• Deep AI fluency: Hands-on experience with modern AI coding harnesses (Cursor, Claude Code, Codex); you've prototyped, shipped, and iterated on AI tools, agents, and workflows, not just managed roadmaps about them
• Operational empathy: You can partner with sales, finance, risk, and other business teams to deeply understand their challenges and deliver rapid AI-powered solutions
• High ownership: You communicate clearly, own your work completely, and don't wait to be told what to build next — comfortable with autonomy and ambiguity