AI Customer Success Engineer

productboard, Inc; San Francisco (CA); Hybrid; USD 92,500 - 122,600; Full time

Benefits offered by this job

Competitive compensation

Stock options

Flexible paid time off

Job summary

productboard, Inc is looking for an AI Customer Success Engineer to facilitate AI-first product management adoption with customers. In this role, you'll manage your own book of business and help customers realize the potential of Productboard Spark.

Your responsibilities include guiding customers, delivering activation sprints, and building lasting relationships with product leaders. This position is pivotal in empowering customers to integrate AI into their workflows effectively.

The expected base pay range in San Francisco is $92,500 – $122,600, alongside competitive equity awards and benefits.

Qualifications

• Experience in customer success, solutions architecture, implementation consulting, or advisory roles within B2B SaaS.
• Direct experience managing a portfolio of accounts across activation, adoption, and renewal.
• Comfortable leading conversations with Director and VP-level product leaders.

Responsibilities

• Guide customers toward AI-first product management.
• Manage a book of accounts and build trusted relationships.
• Deliver activation sprints within the standard playbook.

Skills

Customer success experience

AI fluency and prompt design

Strong communication skills

Relationship building

Tools

Jira

Salesforce

Job description

Productboard Spark: AI built for PMs. Now available and free to try in public beta.

As an AI Customer Success Engineer, you will 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 will work directly with product and engineering teams to turn Spark from something they have heard about into something they use every day.

You will 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.

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. 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.

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 escale 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.

Bonus

• 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.

The expected base pay range for this position in the San Francisco area is $92,500 – $122,600. In addition to the base pay, this role is eligible for competitive equity awards and benefits. Productboard’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job‑related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future.

Benefits

• Competitive compensation, stock options, company 401k.
• Budget for online courses, books, and conferences.
• Flexible paid time off and paid sick days.
• Volunteer day for you to help causes close to your heart.
• Free snacks, drinks, and catered lunches.
• Company contribution to gym and wellness memberships.
• Flexible working hours and home office. Hybrid schedule Monday/Tuesday/Thursday in office.
• Mental wellness program to support your well‑being and self‑care.