Forward Deployed Engineer

Join us at the forefront of innovation in the AI sector. Our mission is to accelerate the future of work. We're not merely envisioning the future; we're actively constructing it.

We are a well-funded Silicon Valley based Series A startup backed by top-tier VCs, pioneering a new model of acquisition-led growth. Instead of building software companies the traditional way—chasing customers with sales and marketing—we acquire entire businesses and reinvent them from the inside out.

Our founding team boasts a remarkable track record in AI and the startup ecosystem, with each member having previously steered AI startups to unicorn status ( 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
• Collaborate with world-class talent across engineering, product, and operations
• Making an impact from day one – your work directly shapes how we transform entire industries
• Challenging environment with a plethora of 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're here to break the back of hard problems, prove transformation hypotheses, and extract generalizable patterns that become platform across our entire portfolio.

Each acquisition is a new deployment. You'll 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—operators, managers, 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—voice agents, workflow automation, intelligent assistants
• Define the software architecture and code the product, applying ML as a major differentiator
• Implement eval-driven development: every piece of LLM-written code isn't done until you have evals verifying efficacy

Trust-Building & Adoption

• 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

Playbook Development & Product Extraction

• 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

• 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

Core Engineering Craft

• Ship production systems, not just prototypes—you’ve taken things from zero to deployed
• Comfortable across the stack, but depth in at least one area (backend, frontend, data)
• Experience integrating with legacy systems, messy APIs, and undocumented data sources

AI/LLM Systems

• Hands‑on experience building with LLMs—prompting, RAG, agents, tool use
• Eval‑driven development mindset: you instinctively think "how do I measure if…