Software Engineer 2 - AI Transformation Engineering

The Opportunity

Abnormal AI is the most AI-native company in cybersecurity — and we're building the internal platform that makes that real. Every function at Abnormal runs on AI-powered workflows that compound human leverage instead of replacing it. Nora is our internal AI platform, and we're investing in the engineering muscle to extend it across every record-keeping system and operational surface inside the company.

We're hiring a Software Engineer II on the AI Transformation Engineering team to build that platform. If you're passionate about cutting-edge AI infrastructure, scalable systems, and shipping software that moves real business numbers, this is your opportunity.

What You'll Do as a Software Engineer II

As part of our Transformation Engineering team, you will:

• Build the Nora platform — Ship the services, factories, and sandboxes that internal teams use to deploy AI workflows. Own real platform components end-to-end.
• Weave AI into our internal systems — Build the connectors, services, and integrations that bring AI into the record-keeping and operational systems Abnormal already runs on (Salesforce, Jira, data warehouses, internal apps). The hard problem is making AI useful where work actually happens.
• Stand up net-new infrastructure — When a transformation requires capabilities that don't exist yet, you build them. Spec, ship, and harden the platform so other teams can build on top.
• Design for handoff — Build the platform, then transition long-term ownership to a permanent home (often a platform team in R&D). Write the docs, define SLOs, and pick the next owner before you ship.
• Own outcomes, not just output — Every engineer on this team owns a measurable contribution to a business outcome — revenue, cost saved, hours returned to the business, or capabilities unblocked for the teams building on top of you. 

Technical Requirements

We're looking for engineers who have:

• 3+ years of professional experience in software development.
• Strong backend experience with Python.
• Fluency with the AI development stack — Claude, Codex, Gemini, Anthropic APIs, OpenAI APIs, and the surrounding tooling (APIs, MCP, agents). Bonus for building plugins, skills, or integrations against them.
• A track record of shipping platforms others build on — APIs, services, or SDKs that survived contact with other teams.
• Experience building scalable, enterprise-grade applications.
• Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Strong fundamentals in computer science, distributed systems, and performance optimization.
• Operator empathy — can sit with a Sales Ops or Marketing Ops lead, watch them work, and design a factory that fits the real workflow.
• A bias for handoff — you write docs, define SLOs, and pick the next owner before you ship.

Why Abnormal AI?

• Build the platform that makes an AI-native company actually work — Not a demo, not a pilot. The production substrate that 2,000+ employees run on every day.
• Workflow ROI is the bar, even for platform work — No vanity metrics, no permanent "foundational" projects. If it doesn't move a number, we kill it or hand it off.
• Direct line to impact — When you ship infrastructure, Marketing, Sales, or Support starts running on it within weeks. The feedback loop is days, not quarters.
• Solve complex challenges at scale — Internal AI platform serving every function, built to the same standard as our customer-facing security products.
• Join a high-caliber team — Collaborate with industry-leading engineers, AI researchers, security experts, and operators who treat AI leverage as a first-class engineering discipline.
• Impact Fortune 500 enterprises — The factories you build are how Abnormal scales protection for the world's largest companies from sophisticated cyber attacks.

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