Remote opportunity at
Invisible TechnologiesDirector of Engineering, Data Labs
Invisible Technologies is seeking a Director of Engineering for Data Labs to direct the technical strategy for benchmarking systems, data pipelines, and reinforcement learning environments. Invisible…
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About This Role
Invisible Technologies is seeking a Director of Engineering for Data Labs to direct the technical strategy for benchmarking systems, data pipelines, and reinforcement learning environments. Invisible operates an AI platform that structures data, automates digital workflows, and integrates human expertise for top AI companies and enterprises. In this role, the selected candidate will formulate multi-year technical strategies, predict industry shifts up to eighteen months out, and establish architectural directions for…
Job Description
Invisible Technologies is seeking a Director of Engineering for Data Labs to direct the technical strategy for benchmarking systems, data pipelines, and reinforcement learning environments. Invisible operates an AI platform that structures data, automates digital workflows, and integrates human expertise for top AI companies and enterprises. In this role, the selected candidate will formulate multi-year technical strategies, predict industry shifts up to eighteen months out, and establish architectural directions for benchmarking and data infrastructure. The position involves collaborating with product, research, and go-to-market teams, and representing the engineering organization in executive and client conversations.
The ideal candidate possesses extensive software engineering experience alongside a strong background in leading multi-layered engineering organizations. This role requires deep familiarity with artificial intelligence training pipelines, evaluation methods, and fine-tuning practices. Responsibilities span defining evaluation frameworks, identifying reusable data assets, and providing mentorship to engineering managers, forward deployed engineers, and senior individual contributors. The position offers an opportunity to shape technical foundations and drive commercial offerings in a fast-paced environment.
Responsibilities
- Formulate and execute the multi-year technical strategy for Data Labs
- Establish architectural direction for benchmarking infrastructure, data pipelines, and reinforcement learning environments
- Anticipate technical shifts in AI training and evaluation markets six to eighteen months ahead
- Partner with product and commercial teams to shape new offerings, pricing logic, and technical messaging
- Lead and scale an engineering organization comprising engineering managers, senior managers, forward deployed engineers, and senior individual contributors
- Engage with executive leadership and strategic clients to translate technical reality into clear narratives
Requirements
- Ten or more years of software engineering experience with substantial background in building machine learning or artificial intelligence systems
- Five or more years of engineering leadership experience, including managing managers across multiple teams
- Track record of establishing multi-year technical strategies and making commercially successful platform investment decisions
- Deep and current understanding of the AI training and evaluation landscape, encompassing fine-tuning, reinforcement learning from human feedback, and evaluation methodology
- Hands-on familiarity with large language model training pipelines
- Experience building benchmarking, data curation, or reinforcement learning infrastructure that delivered measurable client results
Qualifications
- Prior experience at an artificial intelligence services firm, applied research consultancy, frontier lab, or enterprise artificial intelligence product company
- Demonstrated point of view on the artificial intelligence data and evaluation market demonstrated through talks, writing, or open-source work
- Familiarity with data licensing, synthetic data generation, or contamination detection utilizing client data
- Experience shaping new product lines or service offerings from a technical foundation
- Experience guiding an organization through rapid growth or substantial change
Core Skills
Benefits
- Annual base salary ranging from USD 252,000 to 300,000 for San Francisco and New York locations
- Annual bonus structure including a 20 percent annual bonus and additional incentives
- Equity included in full-time offers
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the salary for the Director of Engineering, Data Labs role?
For candidates based in San Francisco or New York, the annual base salary ranges from USD 252,000 to 300,000, and all full-time offers include equity and a 20 percent annual bonus plus additional incentives. Compensation for candidates outside the U.S. or in other locations is adjusted based on local market conditions and cost of living.
What are the core experience requirements for this position?
Applicants must have at least ten years of software engineering experience with significant machine learning or AI systems background, alongside a minimum of five years in engineering leadership managing multiple teams and managers.
Is this a remote position?
The posting states that Invisible is a hybrid organization with offices and team members globally, and notes that while some roles offer remote flexibility, position-specific location requirements or hybrid expectations will be communicated by the talent acquisition team during the recruiting process.
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