252K–300K USD / year
Director of Engineering, Data Labs
Engineering managerRemote — United States
Published on 2026-10-19
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About this role
Set the technical strategy and roadmap for Data Labs, which builds benchmarking systems, data pipelines, and reinforcement-learning environments for AI training engagements. Lead multiple engineering teams and partner with research, product, commercial, and client leaders to turn market shifts into reusable platform capabilities and client outcomes.
About the company
Invisible is a technology company that specializes in automating business processes and providing operational support through advanced AI and workforce solutions. They serve enterprises by helping streamline workflows and improve efficiency across various functions.
The team
Data Labs
What you'll do
- Own the multi-year technical strategy and roadmap for AI training and evaluation infrastructure.
- Set architecture for benchmarking systems, data pipelines, and RL environments.
- Decide which capabilities become shared platforms versus engagement-specific solutions.
- Track market and competitive shifts and recommend technical investments and new offerings.
- Define evaluation practices tied to client outcomes, including validation of automated checks against human judgment.
- Advise clients and executives on technical strategy and balance client requests with broader platform goals.
- Lead and develop managers, FDEs, and senior individual contributors across multiple teams.
- Establish hiring, planning, quality, and operational practices for reliable execution.
What we're looking for
- 10+ years of software engineering experience, including significant experience building ML or AI systems.
- 5+ years of engineering leadership, including managing managers across multiple teams.
- Track record of setting multi-year technical strategy and making commercially successful platform investments.
- Deep, current understanding of AI training and evaluation, including fine-tuning, RLHF/RLAIF, and evaluation methodology.
- Hands-on familiarity with LLM training pipelines and the ability to defend architectural decisions.
- Experience building benchmarking, data curation, or RL infrastructure that produced measurable client outcomes.
- Ability to translate market and competitive signals into technical roadmaps and product direction.
- Strong cross-functional partnership and executive communication skills, including client and pre-sales advisory.
Nice to have
- Experience at an AI services firm, applied research consultancy, frontier lab, or enterprise AI product company.
- Public point of view on AI data and evaluation, such as talks, writing, or open-source work.
- Familiarity with data licensing, synthetic data generation, or contamination detection.
- Experience shaping product lines or service offerings from a technical foundation.
- Experience leading an organization through rapid growth or significant change.
Benefits
- Annual bonus equal to 20% of salary, plus an additional incentive structure.
- Equity included in full-time offers.