AI Customer Success Engineer
Productboard
Sourced from Productboard's careers site · Posting last seen October 31, 2026
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
Skills
- customer success
- account management
- product management workflows
- Jira
- Salesforce
- AI workflows
- AI fluency
- prompt design
- solutioning
- product management
- AI
- prompt engineering
- SaaS
Summary
Manage AI customer accounts, guide adoption, and support product success with AI tools.
Job title
AI Customer Success Engineer
Experience level
1-2 years
Minimum experience
1+ years
Industry
software
Location
San Francisco, CA · Hybrid
Salary
$106k–$142k
Listed in the job description
Visa sponsorship
Company has sponsored H-1B before
Management role
No
- Sep 24, 2026 First posted
- Sep 24, 2026 Live now
As observed on the employer's careers site by ApplyAll. We show every change we've seen including removals.
Posting history
- Sep 24, 2026 First posted
- Sep 24, 2026 Live now
As observed on the employer's careers site by ApplyAll. We show every change we've seen including removals.
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