Hiring: Head of Frontier Technologies Company: Tract Capital Management Location: Denver, CO Job Posted Time: 2026-09-17 10:57:02 Employment Type: Hybrid Target Skills & Keywords : Embedded Systems, LLM, Machine Learning, NetSuite, Program Management, Risk Management, SaaS, Stakeholder Management, Systems Integration, Vendor Management About the job Experience: •10+ years in technology leadership, with at least 3–5 years focused on AI/ML strategy and delivery (not just strategy) at scale. •A track record of shipping — not just architecting — production AI/ML systems, ideally across multiple business units or portfolio-style environments (PE, holding company, multi-BU enterprise). •Hands-on technical depth: comfortable evaluating and directing work involving LLMs, retrieval-augmented architectures, vector databases, and integration with enterprise systems of record. •Strong program and change-management skills — you can drive adoption across teams that didn't ask for a new tool. •Comfort operating with a small central team and a large "influence without authority" surface area across autonomous portfolio companies. Required Skills: •This is not a pure strategy or advisory seat. The successful candidate in this role sets direction, then rolls up their sleeves — partnering with portfolio company leadership, engineering teams, and vendors to design, build, and operationalize solutions. Success is measured in deployed capability and business outcomes, not presentation decks. •Define the firm's point of view on AI/ML and emerging technology adoption across a diverse portfolio (data center operations, land/real estate strategy, construction, legal ops, EHS, CRM/quote-to-cash, and adjacent domains). •Build a prioritized, portfolio-wide AI/ML Strategy and roadmap that balances quick wins against multi-year platform bets. •Evaluate build-vs-buy-vs-partner decisions for AI/ML capabilities, including LLM-based systems, data platforms, and vertical SaaS with embedded AI. •Track the frontier: new models, agent architectures, and tooling — translate what's real and applicable versus hype, and update the roadmap accordingly. •Set reference architectures and standards for AI/ML systems used across portfolio companies (e.g., LLM-centric applications with vector-backed data stores, integration patterns with core systems of record such as NetSuite, Coupa, and industry-specific platforms). •Establish data architecture principles — source-of-truth design, pipeline standards, and governance — that let AI initiatives scale across companies without re-solving the same problems. •Define evaluation frameworks for new platforms (EHS systems, DCIM/monitoring tools, construction tech, legal spend management) with AI/ML capability as an explicit selection criterion. Qualifications: •Hands-on technical knowledge of large language models, retrieval-augmented architectures, vector databases, and integrations with enterprise systems of record. •Demonstrated capacity to evaluate and direct the development of production AI and machine learning systems. •Strong program management and change-management capabilities. •Knowledge of AI governance, data privacy, model risk, compliance, responsible-use practices, and emerging regulatory and intellectual property considerations. •Approximately four to six portfolio company site visits per year. Compensation: •$150,000 - $200,000 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!