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Technical Product Manager – Inference
Fundamental. Own the strategy, roadmap and delivery of NEXUS inference offerings.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for inference offerings, with a strong focus on translating customer needs into actionable product strategies and metrics. Proficient in managing technical products through their lifecycle, ensuring adoption and optimizing product economics.
Highest-signal resume keywords
Product Management ExperienceInference and Model ServingCloud Infrastructure UnderstandingEnterprise Customer EngagementPricing and Packaging Strategy
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Model InferenceAPI ProductsProduct Success MetricsAnalytics and TrackingCapacity PlanningProduct Roadmap DevelopmentTechnical Product OwnershipCross-Functional DeliveryInfrastructure EconomicsCustomer Consumption Models
Soft Skills
Commercial JudgmentPrioritization Decision-MakingCross-Functional CollaborationCustomer DiscoveryProblem-Solving
Tools & Technologies
Customer PortalAPI Key ManagementMonitoring and AlertsData-Handling ControlsIdentity and Access Management
Industry Keywords
Enterprise MLPlatform TeamsTechnical ProductsManaged ServicesProduction Requirements
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- 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 products.
- Own adoption, usage and costs for inference products and improve product economics.
- Conduct customer discovery with enterprise customers and their ML, platform and IT teams.
- Translate requirements around latency, throughput, compliance, reliability and cost into roadmap choices.
- Work daily with inference and other engineering teams on capacity planning, product priorities and timelines.
- Own model administration capabilities, including deployment versioning, controlled upgrades, rollback, monitoring and alerts.
- Define customer consumption models across managed services and customer-controlled environments.
- Partner with product marketing and go-to-market teams on packaging and pricing.
- Own administrative and governance capabilities including the customer portal, user and API key management, access controls, auditability, usage visibility and data-handling controls.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- 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