Product Analytics Specialist (Customer Success) - East

Product Analytics Strategist (Customer Success)

NOTE: This is a client‑facing Product Analytics role embedded with our Customer Success team. Prior Customer Success experience is a plus but not required—we’ll train you on our Customer Success playbooks.

About the Role & Team

As a Product Analytics Strategist (Customer Success) partnering with Amplitude’s Customer Success team, you’ll serve as a strategic product advisor to a portfolio of enterprise customers. You’ll help product executives, analytics leaders, and growth teams build better digital products using Amplitude—driving adoption, measurable outcomes, and long‑term value.

What You’ll Do

• Partner with customers’ Product, Analytics, and Growth teams to set strategy, define goals, and execute plans that move key product metrics.
  
  
• Advise senior stakeholders (CPOs, VPs of Product, Heads of Analytics) on using Amplitude to inform product decisions, roadmaps, and experimentation.
  
  
• Lead strategic business reviews and deep‑dive analytics sessions that demonstrate impact and uncover new growth opportunities.
  
  
• Translate product usage and health signals into clear, actionable recommendations that improve retention, activation, and conversion.
  
  
• Collaborate with Sales, Product, and Services to channel customer feedback into product enhancements and adoption initiatives.
  
  
• Codify best practices and playbooks customers can use to scale evidence‑based product development.
  
  

What You’ll Bring

• 5+ years in Product Management, Growth, or Product Analytics roles within SaaS or digital‑first environments.
  
  
• Hands‑on experience with product analytics (Amplitude, Mixpanel, Google Analytics, Heap, etc.) to guide strategy and decisions.
  
  
• Proven ability to drive core product metrics (activation, retention, conversion) through analytics‑driven prioritization and rapid experimentation.
  
  
• Delivered measurable growth by aligning roadmap bets to a clear KPI tree and rigorously instrumenting impact.
  
  
• A track record of defining strategy, prioritizing roadmaps, and delivering business outcomes.
  
  
• Strong technical acumen (required): comfortable discussing product analytics concepts (events, properties, cohorts), basic experimentation, and practical implementation considerations; quick to learn new tools and collaborate effectively with engineering and data teams.
  
  
• Exceptional communication skills—able to turn complex analysis into concise recommendations for senior audiences.
  
  

AI Skills (Preferred, not required):&l