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Pod

Job in New York, New York County, New York, 10261, USA
Listing for: Tenex
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Software Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below
Apply as a team of two to five

Most companies hire one person at a time and hope the chemistry works out later. We would rather skip that step. If you have already built something hard with a group of people you trust, bring them with you.

About Tenex

The Fortune 500 is rebuilding itself around AI right now, and the companies that cannot afford to get it wrong are the ones that call us. Tenex embeds elite teams directly into a client's operations, finds the bets that actually move the business, and ships the work that makes them AI-native. The clients are sharp, the problems are unforgiving, and the work has to land.

We get to do this alongside the people building the frontier. Anthropic and OpenAI are formal partners, and we sit in the room with their Applied AI teams on real client problems. Vercel, Lovable, and a growing list of the most important companies in AI are partners too. We were the partner Anthropic named on the Claude for Small Business launch, delivering AI fluency training in ten US cities, and workflows we built ship inside Claude for Small Business today.

The bar for joining is high. We hire for high agency and high urgency, and we care less about where you trained than about what you have built.

Why we do this

Tenex works in pods. A small group of strategists and engineers embeds with a client, learns the domain, and owns the problem end to end. That structure is the whole point of the company, so a team that already knows how to build together is not an awkward fit for us. It is a head start.

When a team that has earned each other's trust shows up intact, the part that usually takes months, learning how everyone thinks and where to lean on each other, is already done. You spend that time on the actual work instead.

So if your venture is pivoting, your group got caught in a layoff, or you are simply ready to build the next thing together, we want to talk to all of you  are looking for teams of roughly two to five people.

What we are not doing

We are not buying a team to break it apart and slot people into narrow lanes. The way you already work together is part of what we are hiring. We will protect it.

How it happens

We keep it simple, and we keep your team together through all of it.

  • You go through together. We run your team through the same process as a cohort, against the same bar we hold every Tenex hire to. We evaluate each of you as an individual and the group as a unit.

  • One decision. If we move forward, offers go out to the whole team at the same time. Each person accepts or declines on their own, though we are hoping for a clean sweep.

  • One first engagement. We work to staff you together on your first project so you start on familiar footing.

To be clear about the bar: every person on the team needs to clear the same standard as everyone else  assess the team on top of that, not instead of it.

Where you would fit

At Tenex, Strategists scope and prioritize the bets, and Forward Deployed Engineers make them real. Most teams map onto the roles we are already hiring for:

  • Forward Deployed Engineer

  • Senior Forward Deployed Engineer

  • Staff Forward Deployed Engineer

  • AI Strategist

How we build

We take the discipline of real software engineering and point it at frontier AI, which is messy and non-deterministic by nature. We frame work as testable hypotheses, build data sets that hold up over time, and care a lot about whether a system still works months after we have handed it off. We use every agentic coding tool that gives us leverage, and we do it alongside our partner teams at Anthropic and OpenAI.

We have shipped enough applied AI to have strong opinions about what makes it to production, and we will happily argue them with you.

What the work is actually like

The pace is real, and the bar is that the work ships and it lands. Demos do not count. What counts is the workflow running on Monday morning when nobody from Tenex is in the room. You will touch more products in a year here than you would in several years somewhere slower, with a lot of autonomy and your throughput measured directly.

The trade is that you do not get a year to perfect any single system. Most people who thrive here describe it as the steepest growth of their career. Some find the pace is not for them, and the interview is a good time to ask our team directly what it feels like day to day.

Compensation

Your base is guaranteed and your variable pay is uncapped, scaling directly with what you ship. Engineers in good standing make significantly more than…

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