Forward Deployed Engineer, Applied AI

As a Forward Deployed Engineer on Snowplow’s Applied AI team, you will map how business work runs today, design agentic workflows, and hand them off to functions and embedded engineers. You’ll operate across major business functions to inject AI-powered workflows that automate recurring tasks while preserving human judgment. You will build on Snowplow’s shared factory framework to ensure scalable, auditable agent runs and governance. This role combines hands-on engineering with discovery and change management to enable AI-native transformation.

• Meaningful equity stake
• Competitive base salary
• Flexible working
• Generous PTO
• Private medical insurance
• Company pension

• Map current work processes with function leaders to capture how work actually runs
• Make the case for building workflows on agents, or identify when AI is not needed
• Design and build agentic workflows on Snowplow's shared factory framework
• Define approval gates and decide what agents do autonomously vs. with human oversight
• Ensure agent readiness by formalizing knowledge and quality criteria for workflows
• Triage post-prototype work: reliability, edge cases, evaluation, and long-term viability
• Handoff to embedded AI engineers and function owners, then stand by for improvements and support
• Document the workflow pattern and contribute reference implementations to the shared framework

• Shipped real software in someone else’s stack
• Fluent in Python, TypeScript, or Go (and learn others as needed)
• Experience designing agents or agentic workflows with prompts, tools, evaluation, and failure modes
• Ability to work in unfamiliar codebases, datasets, or business systems quickly
• Proven track record in forward deployed, solutions engineering, internal tools, or consulting engineering
• Comfort with ambiguity and self-direction in time-boxed engagements
• Strong communication with senior stakeholders and non-engineers
• Practical hands-on coding and discovery work in tandem

• Active listening
• Self-direction
• Low ego
• Agentic workflows
• LLMs in production
• Prompting and tooling