Productboard is the only comprehensive agentic product management system built for product makers. Understand customers, prioritize features, and ship the right thing. Backed by Bessemer, Index and Kleiner Perkins.
About the role
As an AI Customer Success Engineer, you’ll help customers adopt AI-first product management by guiding them through Spark — showing them how AI can transform the way they discover, prioritize, build, and communicate. You’ll work directly with product and engineering teams to turn Spark from something they’ve heard about into something they use every day.
What they're looking for
- Experience in customer success, solutions architecture, implementation consulting, or strategic advisory roles within B2B SaaS
- Direct experience managing a portfolio of accounts across the post-sales lifecycle — activation, adoption, and renewal support
- Comfortable leading conversations with Director and VP-level product leaders — skilled in objection handling and solutioning across varied customer contexts and types
- Solid product management knowledge — familiar with discovery methods, prioritization frameworks (RICE, Value vs. Effort), OKRs, and roadmap communication. You understand the workflows Spark is designed to improve
- Familiar with enterprise product management tools and integration ecosystems — Jira, Slack, Salesforce, and similar platforms
- Self-motivated and organized — you manage your book of business independently day-to-day, ask for help on the right things, and contribute positively to team culture
More about this role
As an AI Customer Success Engineer, you’ll help customers adopt AI-first product management by guiding them through Spark — showing them how AI can transform the way they discover, prioritize, build, and communicate. You’ll work directly with product and engineering teams to turn Spark from something they’ve heard about into something they use every day.
You’ll manage your own book of business, lead activation sprints, and build the consultative instincts that make the difference between a customer who uses Spark and one who can’t imagine working without it.
AI is rewriting how product teams work — and this role puts you at the front of that shift, helping real customers move from curiosity about AI to depending on it every day. You won’t just talk about AI-first product management; you’ll coach product and engineering leaders through it hands-on, using their own data and workflows.
The skills you’ll sharpen here — AI fluency and prompt design, consultative solutioning, and translating technical capability into business outcomes — are exactly the skills that will define customer-facing technical careers for the next decade.
- Guide customers toward AI-first product management —...
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