2 months ago
Responsibilities
- Embed with customers to understand their businesses and identify where AI can create meaningful value.
- Turn ambiguous business 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 workstreams, technical decisions, client-facing communication, scope, and delivery outcomes.
- Measure production performance and continuously improve systems after launch.
- Structure work for coding agents, engineer durable context, evaluate outputs, and determine where deterministic software and human judgment remain necessary.
- Create reusable agent systems, evaluations, and tools that compound across engagements.
Requirements
- Shipped production software that real users depended on and remained accountable for after launch.
- Built something real with LLMs and can explain how it was made reliable.
- Can become useful in an unfamiliar domain within days.
- Can explain technical decisions clearly to CEOs and engineers.
- Already works with coding agents and has informed opinions about their appropriate use.
- Must be comfortable with an intense, fast-paced environment and direct customer engagement.
Benefits
- Work together in Manhattan five days a week.
- Base salary, quarterly bonus, and equity are provided, with specific compensation details shared in the offer.
- Fast, six-step interview process with practical technical and systems-design assessments.
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.