Principal Product Manager – Analytics

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Snowplow

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

☁️ SaaS

🏢 Enterprise

💰 Venture Round - Snowplow on 2023-06

SaaS • Enterprise

Snowplow is the Customer Context Infrastructure that transforms raw behavioral data into real-time customer context for AI agents and advanced analytics. Data teams rely on Snowplow to collect and process event-level data in real time, delivering it to their warehouse, lake, or stream, without the engineering overhead of building data infrastructure. Product and engineering teams rely on it to power agentic AI systems, personalization, and fraud detection. Snowplow provides products like Data Foundation, Event Tracking, Data Pipeline, Event Studio, Profiles, Real-Time Triggers, Modeling & Analytics, ML & Agentic AI features (Agentic Context, Intent Detection, Proactive Decisioning). It integrates with many data platforms (Databricks, Snowflake, BigQuery, S3, Kafka, Clickhouse) and ML/agent frameworks (LangChain, AWS Bedrock, Vertex AI, Vercel). It targets industries like Games, Media & Entertainment, Retail & Ecommerce, Software, Financial Services and teams including Data Engineering, Product Analytics, Data Science, Marketing. Snowplow emphasizes real-time, validated, governed event-level data, open and transparent approach, privacy and compliance, and deployment options including self-hosted pipelines. It positions itself as enabling real-time customer context for AI agents and advanced analytics, replacing legacy analytics tools and in-house pipelines.

📋 Description

• Set product strategy and own the roadmap for Snowplow's analytics offerings, including data model packs and emerging semantic layer / agentic analytics capabilities. • Lead the evolution of our data model packs from batch models into a real-time streaming engine, so journey analytics are computed in-stream rather than hours later. • Define and publish Snowplow's ontology of digital journeys, and make it the semantic backbone of our packs, interfaces, and agent integrations. • Define our point of view on how customers and their AI agents should query and reason over behavioral data, and prioritize the roadmap accordingly. • Own our approach to distinguishing human from AI agent and bot traffic, an increasingly important part of trustworthy analytics as agentic traffic grows. • Make and defend build vs. partner decisions involving the broader data and AI ecosystem (warehouse platforms, semantic layer standards, natural-language analytics tools). • Partner with engineering and product marketing to move initiatives from concept to shipped, adopted product. • Work cross-functionally with sales, marketing, and customer success to ensure this part of the product is well positioned, well understood, and easy to sell. • Represent this product line externally with customers, prospects, and technology partners. • Communicate strategy clearly to company leadership, translating complex product thinking into concise, decision-ready materials.

🎯 Requirements

• Proven product management experience, with a track record of building and scaling a commercial product offering sold to external customers, not an internal-only tool or platform. • A product analytics background: someone who's built or scaled a product analytics offering and has a point of view on where the category is going, particularly around natural-language / agentic interfaces to data. • Proven ability to operate as a single-threaded owner with no direct reports; you drive outcomes through influence, clarity, and credibility, not headcount. • Comfort making and defending build/partner decisions involving warehouse-native ecosystems (Databricks Genie, Snowflake Cortex, dbt, Unity Catalog) and open semantic standards (Apache Ossie). • Strong technical fluency: you can go deep enough on semantic layers, data modeling, and enrichment pipelines to have a real conversation with engineering, without needing to own the implementation. • A track record of turning ambiguous, multi-workstream backlogs into a single coherent strategy: this role starts with multiple active workstreams and no unifying plan. • Executive presence: you can walk into a leadership or board conversation and land a point 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