Forward Deployed Engineer

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 boasts a remarkable track record in AI and company‑building, with each member having previously steered AI startups to unicorn status (e.g. 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, and antiquated data structures. We turn that complexity into opportunity, designing platforms that unlock efficiency, scale, and profitability.

• Working with cutting-edge AI technologies on real-world transformation problems.
• Collaborating with world-class talent across engineering, product, and operations.
• Making an impact from day one; your work directly shapes how we transform entire industries.
• A challenging environment with significant growth opportunities.
• Competitive compensation and benefits.
• High ownership and visibility in a small, high-trust team.

Forward Deployed Engineers are our zero-to-one team. You embed directly with portfolio companies, understand their domain deeply, and solve the novel, high‑stakes problems that turn legacy operations into AI‑native businesses. You are here to prove transformation hypotheses and extract generalizable patterns that become platform across our entire portfolio.

Each acquisition is a new deployment. You will inherit complex workflows, fragmented data, and skeptical operators. Your job is to ship working AI systems that deliver measurable business outcomes, then codify what worked into playbooks that accelerate every future acquisition.

• Embed on‑site with newly acquired companies to deeply understand their business, workflows, and pain points.
• Sit with end users, including operators, managers, and frontline staff, to understand adoption blockers and build trust.
• Pick genuinely high‑stakes problems at the core of the business, not peripheral edge cases.
• Build highly scalable, data‑driven platforms that connect to legacy IT systems.
• Build AI‑powered applications leveraging cutting‑edge LLMs, including voice agents, workflow automation, and intelligent assistants.
• Define the software architecture and code the product, applying ML as a major differentiator.
• Implement eval‑driven development so AI systems are measured before they are considered done.

• Build guardrails that protect against runtime failures while maintaining flexibility.
• Technical solutions are only half the battle; driving adoption through demonstrated reliability is the other half.

• Identify patterns across portfolio companies that can become reusable frameworks or platform products.
• Contribute to transformation playbooks that reduce time‑to‑value for each subsequent acquisition.
• Work with product teams to graduate successful solutions from bespoke implementations to scalable product.

• Every acquisition is a new deployment of the patterns you have built, so your work compounds.
• Your implementations directly shape what becomes platform across the portfolio.
• You are deploying AI capabilities to transform legacy industries that have not seen innovation in decades.
• Every portfolio company is a masterclass in a new domain.

• BSc. or MSc. in Computer Science or comparable degree.
• At least 5 years of hands‑on coding experience as a full‑stack or backend‑heavy engineer.
• Exceptional problem‑solving abilities, effective communication, and teamwork skills.
• Comfort with ambiguity; you can walk into a newly acquired company with legacy systems and make order from chaos.
• Experience shipping production systems, not just prototypes.
• Comfort across the stack, with depth in at least one area such as backend, frontend, or data.
• Experience integrating with legacy systems, messy APIs, and undocumented data sources.
• Hands‑on experience building with LLMs, including prompting, RAG, agents, or tool use.
• An eval‑driven development mindset and understanding of when to use deterministic versus probabilistic approaches.
• Ability to rapidly learn new industries, map complex workflows, and identify high‑leverage intervention points.
• Experience working directly with end users to drive adoption, not just shipping software.
• Bonus points:
  
  similar forward‑deployed experience, early‑stage startup or technical consulting experience, relevant vertical background, open‑source AI tooling, or post‑acquisition integration experience.