3 months ago
New York, NY, USAMid Level
Base Salary
$180k - $180k/yr
Responsibilities
- Ship production software and internal tools while documenting the process.
- Deliver working AI workflows in client codebases and own features from architecture through deployment and client relationships.
- Design reliable, auditable agent systems with humans in the loop and iterate on them as they scale in production.
- Use agentic coding tools and test new models and tools as they are released.
- Produce videos, posts, threads, and playbooks explaining technical builds in actionable language.
- Lead workshops and hackathons at least twice per month for operators and other non-technical audiences.
- Share learnings across client engagements and establish a recurring cycle of building, content creation, and workshops.
Requirements
- At least 3 years of experience shipping production software end-to-end using AI coding tools in production.
- Ability to turn complex problems into scalable systems and ramp quickly into unfamiliar technology stacks.
- Regular use and deep knowledge of the current AI landscape and AI coding tools.
- Ability to teach technical concepts to both technical and non-technical audiences.
- Ability to identify shareable moments and produce content end-to-end.
- Strong operational discipline managing multiple projects and client workstreams.
- Intellectual curiosity about the evolving AI landscape and a high-ownership, collaborative approach.
- Bonus: public work artifacts such as open source, side projects, talks, or applied AI writing.
- Bonus: experience shipping production agentic systems, creating content online, or building a small online following.
Benefits
- Medical PPO/HSA, dental, and vision coverage
- 100% employer-paid life insurance and disability coverage
- Commuter benefits
- Flexible PTO
Categories
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.