Technical Product Manager – Inference

Job not on LinkedIn

🔥 0 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

⚒️ Technical Product Manager (TPM)

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fundamental

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Fundamental is an enterprise AI company that builds large tabular models (LTMs) such as NEXUS, pre-trained on billions of tables to detect patterns and predict outcomes from structured data. The company offers an enterprise-grade predictive analytics platform that can be deployed with minimal code or integrated deeply with cloud partners like AWS, emphasizing privacy, security, and scalability. Born from academic research and backed by major investors, Fundamental targets large organizations seeking to extract foresight from their databases and deploy predictive models at cloud scale.

📋 Description

• 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

• 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

• 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