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AI Customer Success Engineer

Productboard

San FranciscoHybrid2w ago
Employment
Full-time

About the role

The opportunity

Why this matters for your career

On a Typical Day, You Will...

  • 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. 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.
  • Build early AI fluency with customers — configure Spark context so it reflects the customer’s domain, coach users on effective prompting, and follow up with prompt templates and hands-on support when Spark adoption stalls after the first Sprint.
  • Support the transition from activation to adoption — structure monthly touchpoints around meaningful signals (MAU Index, Spark usage depth), not vanity metrics, and identify when guidance versus additional hours versus escalation is the right call.
  • Partner with Account Executives and Renewals Managers — support AE-led business reviews with product health data, Spark usage metrics, and adoption summaries. Identify expansion signals and surface them to the AE for commercial qualification.
  • Contribute to internal improvement — share playbook improvements, document solutioning patterns, and support onboarding of new ASEs. Feed observations about customer friction points and process gaps back to the team.
  • Feed insight into our product direction — share customer patterns and Spark adoption challenges that help Product and Enablement teams improve the platform and our delivery model.

What success looks like

  • Customers trust you as a credible technical advisor — product leaders seek your guidance on best practices and Spark adoption strategies.
  • Your accounts consistently hit Time to Value targets.
  • Monthly touchpoint coverage is at 100% across your book, with success plans current and aligned with customer goals.
  • Spark usage grows across your accounts as customers move from basic prompts to more integrated workflows, with you coaching the progression.
  • You deliver use cases within allocated service hours and escalate early when burn rate or scope issues arise.
  • Renewals in your book are supported with thorough product health data and value documentation, reducing last-minute scrambles for the AE and RM.
  • Your playbook feedback and solutioning patterns are picked up by peers, improving how the team delivers.
  • 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.

About you

  • 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.
  • 1–2 years of hands-on AI experience in a professional context — not just personal productivity, but actively using AI to deliver customer outcomes, accelerate workflows, or build AI-augmented solutions. You understand prompt engineering fundamentals, can design basic multi-step AI workflows, and have coached others on effective AI usage.
  • Familiar with enterprise product management tools and integration ecosystems — Jira, Slack, Salesforce, and similar platforms.
  • Strong customer-facing communication and relationship-building skills — you adapt your approach based on the audience and build trust through reliability, follow-through, and genuine curiosity about the customer’s business.
  • 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.
  • Hands-on experience with Productboard or Spark.
  • Background as a product manager yourself, not only advising them.
  • Experience in a high-growth or startup B2B SaaS environment.

You can look forward to the following benefits + More

Perks & benefits

  • 401k
  • Unlimited Vacation
  • Paid Time Off
  • Equity Compensation

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