Senior AI Customer Success Engineer – Driving AI‑First Product Management Adoption at brighthush

About brighthush

brighthush is a trailblazing B2B SaaS company that empowers product teams to harness the full potential of artificial intelligence. Our flagship platform, brighthush Spark, transforms how teams discover, prioritize, build, and communicate product ideas by embedding AI into every step of the product lifecycle. With a global community of product leaders, engineers, and data scientists, brighthush is at the forefront of the AI‑first revolution, delivering tangible business outcomes for enterprises ranging from fast‑growing startups to Fortune 500 organizations.

Why This Role Matters

As the world of product management pivots toward AI‑enabled workflows, the AI Customer Success Engineer becomes the linchpin that turns curiosity into daily practice. You will be the trusted advisor who guides product and engineering leaders through the adoption journey, turning brighthush Spark from a novel concept into an indispensable part of their toolkit. The skills you sharpen—AI fluency, prompt engineering, consultative solutioning, and translating technical capability into measurable business value—will define the next decade of customer‑facing technical careers.

What You’ll Do Every Day

Customer‑Centric AI Enablement

• Lead brighthush Spark adoption by demonstrating AI‑augmented workflows using customers’ own data, showcasing how the platform accelerates discovery, prioritization, and roadmap communication.
• Build and nurture trusted relationships with product leaders, understanding their strategic goals and ensuring each account moves smoothly from activation to sustained adoption.
• Run activation sprints within the standard playbook, guiding teams through use‑case workshops, best‑practice templates, and iterative refinement.
• Develop early AI fluency with customers by configuring Spark context to reflect their domain, coaching on effective prompting, and providing prompt templates and hands‑on support when adoption stalls.
• Transition from activation to adoption by structuring monthly touchpoints around meaningful signals (e.g., MAU Index, Spark usage depth) rather than vanity metrics, and determining the right balance between guidance, additional hours, and escalation.
• Collaborate with Account Executives and Renewals Managers to support business reviews, deliver product health data, usage metrics, and adoption summaries, and surface expansion signals for commercial qualification.
• Contribute to internal improvement by sharing playbook enhancements, documenting solutioning patterns, and onboarding new AI Customer Success Engineers.
• Feed customer insights back to Product and Enablement teams, helping shape platform evolution and delivery models.

Key Success Metrics

• Customers view you as a credible technical advisor, seeking guidance on best practices and Spark adoption strategies.
• Accounts consistently hit Time‑to‑Value targets and maintain 100% monthly touchpoint coverage.
• Spark usage grows across accounts, with customers progressing from basic prompts to integrated workflows.
• Use cases are delivered within allocated service hours, with early escalation of scope or burn‑rate issues.
• Renewals are supported with thorough product health data and value documentation, reducing last‑minute scrambles.
• Playbook feedback and solutioning patterns are adopted by peers, improving team delivery.
• Customers begin to treat Spark as a core part of their workflow, not just a tool they log into.

Who You Are

Core Experience

• 3+ years 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.
• Solid product management knowledge—familiar with discovery methods, prioritization frameworks (RICE, Value vs. Effort), OKRs, and roadmap communication.
• 1–2 years of hands‑on AI experience in a professional context, 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.
• Familiarity with enterprise product management tools and integration ecosystems—Jira, Slack, Salesforce, and similar platforms.
• Strong customer‑facing communication and relationship‑building skills, with the ability to 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—managing your book of business independently day‑to‑day, asking for help on the right things, and contributing positively to team culture.

Preferred Background

• Hands‑on experience with brighthush Spark or a similar AI‑first product.
• Background as a product manager, not just an advisor.
• Experience in a high‑growth or startup B2B SaaS environment.

What You’ll Gain

Career Growth & Learning

• Accelerated career trajectory in the emerging field of AI‑enabled product management.
• Opportunities to shape the future of brighthush Spark by feeding real‑world customer insights into product development.
• Access to a mentorship network of senior engineers, product leaders, and AI experts.
• Regular training on the latest AI technologies, prompt engineering techniques, and advanced product management frameworks.
• Clear performance‑based advancement paths, with the potential to move into senior technical advisory, product strategy, or leadership roles.

Work Environment & Culture

• Hybrid schedule: Monday, Tuesday, Thursday in‑office; flexible remote work.
• Inclusive, collaborative culture that values curiosity, experimentation, and continuous improvement.
• Cross‑functional teams that celebrate wins together and learn from challenges.
• Open communication channels—regular town halls, Slack communities, and feedback loops.
• Commitment to mental wellness, with a dedicated program and resources for self‑care.

Compensation & Benefits

• Competitive base salary range: $106,000–$142,000 (San Francisco area).
• Variable component up to 15% of base, based on performance and impact.
• Equity awards aligned with company growth.
• Comprehensive benefits package: health, dental, vision, 401(k) with company match, and more.
• Unlimited paid time off, paid sick days, and flexible PTO.
• Company‑budgeted online courses, books, and conferences to support continuous learning.
• Gym and wellness membership contributions, free snacks, drinks, and catered lunches.
• Commuter benefits and volunteer days to support causes close to your heart.
• Mental wellness program and flexible working hours.

Ready to Make an Impact?

If you’re passionate about AI, product management, and helping organizations unlock new levels of efficiency and innovation, we want to hear from you. Join brighthush as an AI Customer Success Engineer and become the catalyst that turns AI potential into real, measurable business value for our customers.

Apply today and help shape the future of product management at brighthush.