Technical Product Manager - Inference

Fundamental; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

Competitive compensation

Health coverage

Parental leave

Relocation support

High-trust culture

Job summary

Fundamental is seeking a senior product manager to own the strategy and roadmap for NEXUS inference offerings. You will partner with engineering, research and GTM to deliver performant, cost-conscious enterprise products with clear capabilities and governance.

You will work closely with customers to translate requirements into production-ready features, setting milestones and ensuring reliable deployment across managed services and customer environments.

Qualifications

• 7+ years in product management for model inference, infrastructure or API products with measurable adoption or revenue growth.
• Strong understanding of inference, model serving, and cloud infrastructure.
• Experience shaping product economics using customer usage and costs.
• Experience working with enterprise ML, IT teams and cross-functional delivery.
• Ability to turn ambiguous goals into executable delivery plans with milestones.

Responsibilities

• Own strategy, roadmap and delivery for NEXUS inference offerings, including capacity planning and pricing considerations.
• Drive adoption, usage and costs for inference products through collaboration with ENG and GTM teams.
• Directly engage enterprise customers to translate latency, throughput and cost needs into product roadmap decisions.
• Collaborate daily with inference and engineering teams on timelines and priorities.
• Define deployment options, governance features and admin capabilities for secure, scalable use of NEXUS.

Skills

Product strategy

Model inference

Cloud infrastructure

APIs & integration

Enterprise collaboration

Analytics & metrics

Cross-functional leadership

Job description

About Fundamental

Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict.

At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.

About the role

You’ll own the product strategy and roadmap for NEXUS inference offerings, with a focus on customer adoption, performance, reliability and economics. You’ll also shape the deployment capabilities and enterprise controls customers need to integrate and operate these offerings reliably into the platform.

You’ll work on state-of-the-art infrastructure in close collaboration with our engineering, research and applied AI teams. Your job is to turn that infrastructure into products enterprises can consume, with clear capabilities, performance levels and economics tradeoffs.

This is a senior, hands-on and highly strategic individual contributor product role. You’ll also work closely with our customers to define their needs and build and communicate our production offering for our GTM teams.

What you’ll do

• 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.

Must have experience

• 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.

Nice to have experience

• 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

• 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