Join us at the frontier of AI, acquisitions, and transformation. Our mission is to accelerate the future of work. Our work is inspired by Ford's assembly line and Ohno's production system.

We are a well-funded company pioneering a new model of acquisition-led growth. Instead of building software companies the traditional way, chasing customers with sales and marketing, we acquire services businesses and reinvent them from the inside out.

Our founding team has a strong track record in AI and company-building, with members who have helped build AI startups to unicorn scale, including Cresta.ai.

Our approach is not SaaS. We drive growth through acquisition, and technology is our transformation engine. Each company we bring on board comes with complex workflows, legacy systems, messy data, and untapped operational leverage. We turn that complexity into opportunity, building platforms that unlock efficiency, scale, and profitability.

What you will do

Contribute to our vertical-agnostic VA (virtual agent) platform, and use it to implement voice agents handling millions of calls for various use cases in our portfolio companies.
Collaborate with both internal and external stakeholders to identify opportunities and guide them on how to use our VA platform.
Help build a self-improving system that closes the development loop for the VA, from identifying issues in production to kicking off agents to fix them.
Integrate into the legacy systems of our portfolio companies, including API design and working with historical warehouse data.
Identify ways to accelerate the onboarding process of our portfolio companies to the VA. Our goal is to make this simpler and faster with every acquisition.
Own projects end to end, from defining metrics, scoping and implementation, to measuring impact in production.

What we look for

AI-native development practice, including hands-on experience with coding agents like Codex or Claude Code to plan, write, and ship production code.
Strong programming skills in Python, including async Python, and experience with prompt engineering and LLM APIs.
Experience shipping customer facing LLM applications at scale, including monitoring and evaluation in production.
Strong communication skills: you will be interacting with product, engineering and stakeholders in our portfolio companies on a daily basis.
Comfortable tackling open-ended problems, working with incomplete information, and navigating complex or unfamiliar technical environments.
Nice to have: previous experience with virtual agents (text or voice), LiveKit or similar frameworks using WebRTC, as well as LLM fine tuning / prompt optimization using GEPA. Experience programming in Go is also a plus.

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Enam, Inc.