Jobs at Snowplow

Build and deploy production agentic workflows across Snowplow business functions. Responsibilities include mapping existing workflows, evaluating AI opportunities, developing reliable agents with approval gates and evaluation, improving edge-case performance, documenting reusable patterns, and handing solutions to functional teams. The role requires close collaboration with non-engineers, senior stakeholders, and domain experts, plus ownership of workflow reliability, adoption, training, and ongoing platform improvements.

Lead the expansion of Snowplow’s Firn data and AI platform, initially building a production-grade go-to-market intelligence engine. Own platform architecture, agents, tools, learning loops, evaluation and tracing infrastructure, operational standards, and the technical roadmap. Integrate existing GTM services, establish versioned logic and outcome tracking, and provide technical direction for systems used by internal commercial teams and other engineers.

Own and productionize AI-powered GTM workflows for Growth, including outbound orchestration, campaign building, enrichment pipelines, intent scoring, paid-media automation, deliverability controls, and seller tools. Build reliable LLM workflows with review gates, observability, testing, and recovery processes. Collaborate with data and platform engineers, measure pipeline impact, manage Snowflake integrations, and continuously improve automation based on replies and meetings booked.

Lead expansion of Snowplow’s Firn AI and data platform, including GTM intelligence services, production-grade agents, MCP and LLM gateways, evaluation and tracing infrastructure, learning loops, and platform architecture. Establish engineering standards, operational discipline, roadmap, documentation, and service ownership while partnering with data engineers and nontechnical internal customers.

Own and productionize AI-powered growth and GTM workflows, including outbound orchestration, campaign tooling, intent signals, enrichment pipelines, paid-media automation, and seller routines. Build reliable LLM workflows with review steps, evaluation, alerting, tracing, retries, and suppression controls. Partner with Growth, data engineering, and platform teams on Snowflake pipelines, scoring models, experimentation, deliverability, and migration to the Firn framework.

Build and deploy agentic workflows that transform recurring business processes across company functions. Responsibilities include mapping workflows, evaluating AI opportunities, developing reliable agent systems, defining approval gates, preparing data and knowledge for agents, tuning outputs with domain experts, measuring quality, and handing off solutions to functional teams. The role also establishes reusable patterns and reference implementations for future Applied AI engagements.

Lead end-to-end Snowplow customer implementations, designing tracking plans, schemas, data models, pipelines, and real-time AI solutions. Serve as the ongoing technical partner for a customer portfolio, providing advisory workshops, troubleshooting implementation and data-processing issues, supporting adoption, and identifying new use cases. Collaborate with Customer Success, Account Management, Product, Engineering, and Support while developing reusable architectures, data models, and field solutions.

Partner with Account Executives and Account Managers across UK and EMEA to drive technical wins. Lead discovery, solution design, tailored demonstrations, evaluations, proofs of concept, and architecture discussions for Snowplow’s behavioral data platform. Advise technical and business buyers, position against competitors, create reusable sales assets, provide market feedback, and use AI tools to improve sales engineering effectiveness.

Lead Snowplow’s product marketing strategy, including positioning, messaging, packaging, product launches, competitive intelligence, field enablement, analyst relations, partner marketing, and customer narratives. Translate complex behavioral data and AI infrastructure capabilities for technical and business audiences. Build an AI-native marketing function, support sales and pricing decisions, shape market feedback for product teams, and represent Snowplow through events, published thought leadership, and executive communications.