Product Manager, Fireworks AI

• Fireworks is hiring a deeply technical, systems-minded PM who is obsessed with building the most performant, reliable, and scalable GPU inference platform in the world
• Strong technical background (CS/EECE background and/or production level development experience) or technical product management experience
• Intimate familiarity with LLMs, fine-tuning, model inference, agents etc
• 1 - 5+ years of experience in products for software engineers (hiring at multiple levels for this role)
• Strong customer interaction skills, deep customer success focus
• Ability to communicate highly technical concepts to all kinds of audiences including the latest AI developments
• Focus on driving outcomes, not just technical milestones
• Ability to navigate complex customer/technical scenarios and come up with creative solutions

Desirable

• You’ll work on product strategy for Fireworks' core infrastructure—spanning multi-region deployments, autoscaling experiences, new inference verticals, and user-facing packaging
• You will partner directly with customers to deeply understand their workload patterns, reliability needs, and performance requirements. You will convert these insights into an infrastructure roadmap with Fireworks’ core engineering and field team
• Build product strategy for cloud infrastructure teams based on customer and market needs. Prioritize between initiatives like improved autoscaling, onboarding new GPUs, region availability, and platform-wide reliability
• Drive new end-to-end new verticals for Fireworks like multi-modal inference and embeddings inference, from infrastructure requirements to UI interactions
• Drive end-to-end execution of infrastructure initiatives with Fireworks from requirements to rollout, working closely with Fireworks engineering teams
• Determine the end-to-end user experience and billing model for how customers consume Fireworks’ infrastructure, through to the UI and product packaging
• Engage deeply with customers to segment user groups and uncover new needs and improvement opportunities
• Serve as a trusted technical advisor to teams evaluating different AI deployment strategies