Full Description

Lookout, Inc. is the endpoint to cloud security company purpose-built for the intersection of enterprise and personal data. We safeguard data across devices, apps, networks and clouds through our unified, cloud-native security platform — a solution that's as fluid and flexible as the modern digital world. By giving organizations and individuals greater control over their data, we enable them to unleash its value and thrive. Lookout is trusted by enterprises of all sizes, government agencies and millions of consumers to protect sensitive data, enabling them to live, work and connect — freely and safely. To learn more about the Lookout Cloud Security Platform, visit www.lookout.com and follow Lookout on our blog, LinkedIn and Twitter. As part of Lookout's R&D organization, you will have a unique opportunity to spearhead the internal Agentic AI revolution. While our core engineering teams focus on product capabilities, you will be the primary architect responsible for operationalizing AI across the rest of the business. You will work directly with high-impact functions—Sales, Marketing, Finance, HR, Legal, and Recruiting—to design and build autonomous agents that fundamentally change how Lookout operates. To tackle these challenges, you must be part builder, part business analyst, and part evangelist. You need to be open-minded enough to experiment with emerging tools (like Gemini Enterprise and N8N) and persistent enough to solve complex integration puzzles across a diverse SaaS ecosystem. If you enjoy bridging the gap between cutting-edge LLM technology and real-world business strategy, and want to see your work immediately accelerate an entire organization, come check us out.

Responsibilities

Design, Build and Maintain Agentic Workflows: Responsible for architecting and deploying autonomous AI agents using low-code/no-code orchestration platforms (e.g., N8N) and enterprise LLMs (e.g., Gemini Enterprise).

Translate Business Needs to AI Logic: Act as the bridge between non-technical stakeholders and AI capabilities. You will dissect requests from departments like Finance or Legal, understand the "why," and re-engineer their processes to be compatible with how LLMs and agents actually work.

Systems Integration & Orchestration: Figure out how to make the AI "talk" to our business stack. You will handle the trial-and-error work of integrating agents with Salesforce, NetSuite, Workday, Marketo, Vena, and other enterprise platforms via APIs and webhooks.

Data Strategy for Agents: Determine how to extract, clean, and contextually feed data from siloed systems into AI models to ensure accurate, hallucination-free outputs.

Influence Internal AI Strategy: Move beyond simple "chatbots" by identifying high-value use cases for multi-step agentic automation that stakeholders haven't even thought of yet.