Productboard

AI Customer Success Manager

San Francisco, USA

Sponsorship not specified$93k-$123kDetected 42 days ago

SparkProduct ManagementJiraOKRsSalesforceCustomer SuccessCommunicationMentoring

About the role

You'll work directly with product and engineering teams to turn Spark from something they've heard about into something they use every day.
Why this matters for your career 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.
Guide customers toward AI-first product management - help them see Productboard Spark not as an add-on but as a core part of how they work.

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.
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.
Demonstrate AI-augmented workflows using the customer's own data and show how Spark accelerates discovery, prioritization, and roadmap communication.
Manage a book of accounts - build trusted relationships with product leaders, understand their goals, and ensure each account progresses through activation to sustained adoption within allocated service hours.
Deliver activation sprints within the standard playbook - run use case sprints guided by established best practices and templates, escalating when novel or high-risk situations arise.
Contribute to internal improvement - share playbook improvements, document solutioning patterns, and support onboarding of new ASEs.
You deliver use cases within allocated service hours and escalate early when burn rate or scope issues arise.
Direct experience managing a portfolio of accounts across the post-sales lifecycle - activation, adoption, and renewal support.

Solid product management knowledge - familiar with discovery methods, prioritization frameworks (RICE, Value vs.

Partner with Account Executives and Renewals Managers - support AE-led business reviews with product health data, Spark usage metrics, and adoption summaries.

What success looks like Customers trust you as a credible technical advisor - product leaders seek your guidance on best practices and Spark adoption strategies.
Spark usage grows across your accounts as customers move from basic prompts to more integrated workflows, with you coaching the progression.
Customers begin to view Spark as part of how they work, not just a tool they log into - a sign of real adoption taking hold.
As an AI Customer Success Manager, 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.
shift, helping real customers move from curiosity about AI to depending on it every day.

This listing is sourced directly from Productboard's careers page and normalized into a canonical job model.