Fundamental - Technical Product Manager - Inference
Requirements
• 7+ years of product management experience in model inference, infrastructure, developer platforms or API products, with a track record of owning technical products from early development through launch and measurable adoption or revenue growth. • Strong understanding of inference, model serving and cloud infrastructure, with the ability to evaluate architecture and API choices and translate latency, throughput, capacity, reliability and cost tradeoffs into product decisions. • Strong commercial judgment and understanding of infrastructure economics, with experience using customer needs, usage patterns and cost drivers to shape product offerings and priorities in partnership with engineering and go-to-market teams. • Experience working directly with enterprise ML, platform or IT teams to understand production requirements, distinguish reusable capabilities from customer-specific requests, and make difficult prioritization decisions. • Experience turning ambiguous product goals into executable delivery plans with clear owners, milestones and dependencies, and driving cross-functional delivery through launch by tracking progress and resolving blockers. • Experience defining product success metrics and establishing the analytics and tracking needed to measure adoption, usage, performance, reliability and cost, using those insights to identify risks and prioritize improvements. • Direct experience owning inference or model-serving products is preferred. • Experience shaping pricing and packaging for technical products. • Previous experience in software, infrastructure or ML engineering before moving into product management. • Experience bringing products into customer-controlled environments, such as customer VPCs, and addressing the integration, security, administration and support requirements needed for production adoption. • Experience building enterprise security, identity and access management product capabilities, or integrations with data and ML platforms.
Responsibilities
• Inference strategy and delivery: Own the strategy, roadmap and delivery of NEXUS inference offerings. Benchmark the landscape and translate customer needs and performance and cost tradeoffs into clear offerings. Partner with Engineering on scope, dependencies, capacity needs and delivery milestones. Prioritize, ship, measure and iterate. • Inference economics: Own adoption, usage and costs for inference products. Use customer demand, usage and serving costs to guide the roadmap, working with engineering and go-to-market teams to improve product economics. • Customer discovery: Spend time directly with enterprise customers running our models in advanced production workloads. Work with their ML, platform and IT teams, alongside Applied AI, to turn constraints around latency, throughput, compliance, reliability and cost into roadmap choices. • Engineering partnership: Work daily with inference and other engineering teams on capacity planning, product priorities and timeline. • Model admin operations: Own the capabilities customers need to deploy and operate NEXUS models reliably, including deployment versioning, controlled upgrades and rollback, and monitoring and alerts. • Deployment offerings and pricing: Define how customers consume NEXUS across managed services and customer-controlled environments, including deployment, integration, upgrade and support requirements. Partner with product marketing and go-to-market teams on packaging and pricing for inference and deployment offerings. • Enterprise administration: Own the product roadmap for administrative and governance capabilities, including the customer portal, user and API key management, access controls, auditability, usage visibility and data-handling controls.
Benefits
• Competitive compensation with salary and equity • Comprehensive health coverage for you and your dependents • Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys • Relocation support for employees moving to join the team in one of our office locations • A high-trust, low-ego culture that values diversity of thought, ownership and initiative, with respect for personal boundaries and working styles
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