> Markdown version of [/jobs/ext/484922-ai-success-engineer](https://www.wearedevelopers.com/jobs/ext/484922-ai-success-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Success Engineer - **Company:** Productboard, Inc. - **Location:** San Francisco, CA, United States - **Experience:** Starter - **Salary:** $92,500.0 - $122,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, JIRA, Github, Project Management Software, Salesforce.Com, Prompt Engineering, Apache Spark, Slack, Gsuite, Zendesk, Automation Anywhere - **Published:** June 7, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=928dd6c99a019b0f ## About the Role Do you have experience in Customer communication?, * 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. ## Description * 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. Our Tech Stack Productboard, Slack, Salesforce, Google Suite, Zendesk, Claude, Zoom, Gong, Jira, GitHub, Loom. 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. ## Related Videos - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Stack Overflow: Community and AI](https://www.wearedevelopers.com/videos/600-stack-overflow-community-and-ai) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Building the Next Generation of Software](https://www.wearedevelopers.com/videos/100186-building-the-next-generation-of-software) - [Marketing x Product: How We Stopped Gaslighting Each Other and Built AI Products That Actually Work](https://www.wearedevelopers.com/videos/100244-marketing-x-product-how-we-stopped-gaslighting-each-other-and-built-ai-products-that-actually-work) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How to Answer the Interview Question: “Why Do You Want to Be a Software Engineer?”](https://www.wearedevelopers.com/magazine/392-how-to-answer-the-interview-question-why-do-you-want-to-be-a-software-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)