
Build the production engine that scales our foundational research architectures into reliable, low-latency enterprise infrastructure.
Playbook is building the Operating Memory for regulated industries.
In life sciences and other highly regulated sectors, companies run on thousands of written procedures — SOPs, work instructions, policies, manuals, and how-to guides. Employees are expected to find, understand, follow, and stay trained on the right procedure at the right moment. That system is breaking under the weight of information overload.
Playbook turns procedural documents into structured, usable data — making critical operational knowledge consumable by humans, software systems, and AI agents. This living layer of procedural knowledge is what we call Operating Memory.
We work with leading global life sciences companies and are building the foundational data model for procedural knowledge in regulated industries. We're an early-stage, founder-led company with high ambition, high standards, and a strong bias toward execution.
Enterprise AI agents can't run on fragile data pipelines. They need deterministic, auditable, and low-latency infrastructure under the hood.
Our core product relies on a highly sophisticated data layer. Our research team has successfully built a proprietary domain-specific ontology and a multi-layer procedural hypergraph that extracts complex regulatory claims from text.
We're hiring our Staff Software Engineer to build the production engine that scales these foundational models into a rock-solid product. You don't need to be an AI theorist or machine learning researcher. Your job is to understand what our research pipelines output on a functional level, and serve as the engineering anchor who scales our architectures into reliable, low-latency, and cost-effective enterprise infrastructure.
You will report directly to our CTO and operate as a senior Individual Contributor, collaborating closely with our ontology research team and our core backend engineers. Your KPIs are concrete: pipeline inference latency and throughput optimization, infrastructure cost-efficiency, and system uptime/reliability under enterprise load.

We translate regulated procedures into machine-executable logic that governs behavior across people, systems, and AI.
This role likely isn't for you if you…
Define the production backbone of a new category at the intersection of enterprise software, regulated operations, and AI infrastructure.
This role has real influence on the foundation of the company. You will shape the architecture that every future product capability is built on.
Direct collaboration with the CTO and founders from day one. Your engineering decisions become the platform's backbone.
Work at the intersection of AI, compliance, and enterprise operations — genuinely new ground.
A hardware setup of your choice, designed for deep, focused engineering work.
A culture where execution and impact are what matter — not hours or optics.
Send us your CV, a short note on why you'd be a great fit, and links to anything you've built. We're looking forward to hearing from you.
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