Director of Engineering, Data Labs (AI)

Location: United States - Remote

Annual base salary: $252,000–$300,000 USD for SF/NY, plus a 20% annual bonus and additional incentive structure. Compensation is adjusted for candidates outside the U.S. according to local market conditions and cost of living.

Company

hirify.global provides an end-to-end AI platform for structuring data, automating workflows, deploying agentic solutions, measuring outcomes, and integrating human expertise.

What you will do

• Own the multi-year technical strategy and roadmap for Data Labs, aligning platform investments with developments in AI training and evaluation.
• Set architectural direction for benchmarking infrastructure, data pipelines, and RL environments, balancing reusable platform capabilities with engagement-specific solutions.
• Track frontier-lab, enterprise, competitive, research, and client signals and turn them into investment recommendations, product offerings, pricing logic, and technical positioning.
• Define evaluation practices covering benchmarking, capability gaps, regression tracking, automated checks, human judgment, data licensing, privacy, and contamination risk.
• Represent engineering in executive, strategic client, and pre-sales conversations and advise client research and engineering leaders.
• Lead and grow an organization of engineering managers, senior managers, FDEs, and Staff+ ICs while building hiring, planning, quality, and operational practices.

Requirements

• 10+ years of software engineering experience, including significant experience building ML or AI systems.
• 5+ years of engineering leadership experience, including managing managers across multiple teams.
• Track record of setting multi-year technical strategy and making platform investment decisions that produced commercial value.
• Deep, current understanding of AI training and evaluation, including fine-tuning, RLHF/RLAIF, and evaluation methodology used by frontier labs and enterprises.
• Hands-on familiarity with LLM training pipelines sufficient to make and defend architectural decisions.
• Experience building benchmarking, data curation, or RL infrastructure that produced measurable client outcomes.
• Ability to interpret market and competitive signals and turn them into a technical roadmap and product point of view.
• Strong cross-functional partnership with applied research, product, and commercial teams.
• Excellent executive communication and confidence acting as a technical advisor in client and pre-sales conversations.

Nice to have

• Experience at an AI services firm, applied research consultancy, frontier lab, or enterprise AI product company.
• Visible perspective on the AI data and evaluation market through talks, writing, or open-source work.
• Familiarity with data licensing, synthetic data generation, or contamination detection involving client data.
• Experience shaping new product lines or service offerings from a technical foundation.
• Experience leading an organization through rapid growth or significant change.

Culture & Benefits

• Full-time offers include bonuses and equity; final compensation depends on location, experience, skills, internal equity, and market conditions.
• Work in a fast-paced environment focused on AI, human expertise, ownership, innovation, and solving ambiguous problems.
• Remote flexibility is available for this role; location-based requirements are confirmed during recruiting.
• AI may be used to support the interview process, with stated expectations for ethical candidate use.
• Reasonable accommodations are available for candidates with disabilities.