2 months ago
Responsibilities
- Embed with customers to understand their businesses and identify high-value AI opportunities.
- Turn ambiguous customer problems into product direction and technical plans.
- Choose architectures and make build-versus-buy decisions.
- Build and ship complete production systems rather than isolated components.
- Own a workstream, determine scope and sequencing, and serve as the client’s technical voice.
- Measure production outcomes, identify when scope is wrong, and continuously improve shipped systems.
- Develop reusable agent systems, evaluations, and tools for future engagements.
- Work on agent orchestration, evaluation, memory, and long-running execution at the frontier of reliable production AI.
Requirements
- Have shipped production software that real users depended on.
- Have built a real system with LLMs and can explain its strengths and limitations.
- Become productive in unfamiliar business and technical domains within days.
- Explain technical decisions clearly to both CEOs and engineers.
- Use AI daily in personal engineering work and have informed opinions about effective usage.
Benefits
- Work together in Manhattan five days a week.
- Base salary, quarterly bonus, and equity are offered, with specific compensation details shared in the offer.
- Fast hiring process with six interview steps and quick decisions.
Categories
Forward Deployed
About Tenex
Tenex is an AI consulting firm that embeds cross-functional teams to design and deploy AI strategy, workflows, and applications for companies. It sells project-based and embedded services, pairing AI strategists with forward-deployed engineers to operationalize AI across functions, including for private equity portfolios. Founded in 2025 and headquartered in New York, the company is privately held.