AI Solutions Analyst- Business Architecture & Acceleration

Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities — from code and dependencies to containers and cloud. Our mission is to empower every developer to innovate securely in the AI era — boosting productivity while reducing business risk. We’re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking. It’s how we stay driven, supportive, and always one step ahead as AI reshapes our world. Job Description: AI Solutions Manager, Business Architecture & Acceleration Team: Business Architecture & Acceleration, AI Security Location: Boston, San Francisco *** Please note- candidate must sit in either Boston or San Francisco currently*** Experience Level: ~3 years experience Role Overview As the AI Solutions Analyst for Business Acceleration, you will be the technical engine powering AI adoption and workflow building in  Snyk’s AI Security Business Unit. Sitting within the Business Architecture & Acceleration team, your mission is to build and implement the technical foundations and automated workflows required to make our BU an AI-first organization. This is a role for a high-agency builder with a computer science background who wants to bridge the gap between business objectives and technical execution—ensuring our data is ready, our workflows are automated, Snykers are enabled, and our operations move at maximum velocity. Core Responsibilities 1. Technical AI Implementation & Prototyping Workflow Engineering: Design and deploy automated AI workflows. You will build the connective tissue between our tools (Jira, Slack, Salesforce, internal APIs) using LLM orchestration, Python scripts, and modern automation frameworks. Data Scaffolding: Work closely with data and engineering teams to ensure our internal operational data is structured for AI consumption (e.g., preparing datasets for RAG pipelines or maintaining vector stores for internal documentation). Rapid Prototyping: Act as the primary builder for the Business Architecture and Acceleration team, creating functional Proof of Concepts (PoCs) for internal tools that solve specific operational bottlenecks. 2. Strategic Business Alignment Objective Translation: Develop a deep understanding of the AI Security BU’s strategic goals. You will translate these business objectives into technical requirements, ensuring every automation you build directly contributes to our acceleration. Process Auditing: Support the team in auditing internal business processes to identify friction points where AI-native solutions can provide significant improvements in speed or quality. 3. Human Enablement & Workflow Adoption Human-in-the-Loop Design: Implement Best Human Practices for AI adoption. You will help define the interfaces where humans provide ground truth, feedback, and oversight to AI agents. Operational Support: Interface with cross-functional teams (Product, Marketing, GTM) to help them transition to new AI-augmented workflows, providing technical support and guidance during the adoption phase. Knowledge Management: Maintain Golden Paths—documentation, prompt libraries, and training materials—to ensure consistent and effective AI usage across the BU. Qualifications & Skills The Technical Requirements Education: BS in Computer Science, Engineering, or a highly technical quantitative field. Experience: ~3 years of professional experience in technical operations, software development, or systems integration. Technical Curiosity: Demonstrated experience building with LLM APIs (OpenAI, Anthropic), building skills and workflows with Claude Code / Claude Cowork or experimentation with orchestration frameworks (LangChain, LlamaIndex). Systems Fluency: Strong ... (truncated, view full listing at source)