Principal Product Manager – Analytics

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop the product strategy and oversee the roadmap for Snowplow's analytics solutions, which include data model packs and innovative semantic layer / agentic analytics features.

• Lead the transformation of our data model packs from batch processing to a real-time streaming engine, allowing journey analytics to be calculated in-stream rather than with delays.

• Establish and publish Snowplow's digital journey ontology, serving as the semantic foundation for our packs, interfaces, and agent integrations.

• Articulate our perspective on how customers and their AI agents should interact with and analyze behavioral data, prioritizing the roadmap accordingly.

• Oversee our methodology for differentiating between human and AI agent traffic, which is becoming increasingly crucial for reliable analytics as agentic traffic expands.

• Make and justify decisions regarding build versus partnership within the broader data and AI ecosystem (including warehouse platforms, semantic layer standards, and natural-language analytics tools).

• Collaborate with engineering and product marketing to transition initiatives from concept stages to fully shipped and adopted products.

• Work across departments with sales, marketing, and customer success to ensure this portion of the product is effectively positioned, comprehensible, and easy to market.

• Represent this product line externally to customers, prospects, and technology partners.

• Clearly communicate strategy to company leadership, translating complex product considerations into concise, actionable materials.

⛳️ Requirements

• Demonstrated product management experience, with a history of building and scaling a commercial product offering aimed at external customers, rather than solely internal tools or platforms.

• A background in product analytics: an individual who has developed or enhanced a product analytics offering and possesses insights into the future direction of the category, especially regarding natural-language / agentic data interfaces.

• Proven capability to function as a single-threaded owner without direct reports; you achieve results through influence, clarity, and credibility rather than by managing a team.

• Comfort in making and defending build/partner decisions within warehouse-native ecosystems (such as Databricks Genie, Snowflake Cortex, dbt, Unity Catalog) and open semantic standards (like Apache Ossie).

• Strong technical understanding: you can engage deeply with semantic layers, data modeling, and enrichment pipelines to have meaningful discussions with engineering, without needing to manage the implementation.

• A history of converting unclear, multi-workstream backlogs into a cohesive strategy: this role begins with several active workstreams and lacks a unifying plan.

• Executive presence: you can enter a leadership or board meeting and convey your points simply, directly, and with a clear recommendation.

🏝️ Benefits

• Meaningful equity stake

• Competitive Base Salary

• Flexible working

• Generous PTO

• Private Medical Insurance

• Company Pension

• MacBook and home office equipment allowance

• Enhanced Family leave