Director of Product Management
Agentic Applications and Services
Boston - hybrid
About Snowplow
Snowplow, the global leader in customer data infrastructure (CDI) for AI, enables every organisation to own and unlock the value of its customer behavioural data.
The Snowplow CDI fuels AI-driven marketing, digital products and services, customer experiences and fraud detection, by enabling companies like Burberry, Strava, and AutoTrader to collect and manage real-time, structured and unstructured behavioural data governed in their cloud data platform.
With thousands of companies relying on Snowplow worldwide to generate AI-ready data to uncover deeper customer journey insights, predict customer behaviours, optimise differentiated customer experiences, and detect fraud; we are at the forefront of transforming how data-driven organisations leverage their customer behavioural data.
Following our $40 million Series B funding led by global venture capital firm NEA, known for investments in Databricks, MongoDB, and Elastic, we are seeking creative and innovative individuals to help us shape the future of Snowplow.
The Opportunity
We are seeking an innovative and strategic Director of Product Management to lead the development of Snowplow's next-generation data services, including multi-modal data ingestion and processing, multi-agent observability, and a knowledge graph runtime service. These cutting-edge products and services will enable our customers to derive actionable insights from diverse data sources and power real-time agentic applications.
As a key leader in our product team, you will work cross-functionally with engineering, marketing, and pre and post sales teams to shape the roadmap, define product requirements, and drive go-to-market strategies. This role requires a deep understanding of data infrastructure, advanced analytics, and AI/ML driven applications.
What You’ll Be Doing:
Product Strategy and Roadmap:
● Define and own the strategic vision for Snowplow's agentic applications and services offerings.
● Align product initiatives with business goals, customer needs, and market trends.
● Develop and communicate a product roadmap that balances near-term deliverables with long-term innovation.
Customer and Market Focus:
● Engage with early design partners, customers and stakeholders to gather insights and validate product concepts.
● Analyze market trends and competitive offerings to ensure Snowplow maintains a leadership position in the customer data infrastructure space.
● Advocate for customer needs, especially in the areas of real-time behavioral data, analytics and agentic applications.
Product Development:
● Collaborate with engineering teams to define technical requirements for scalable, high-performance solutions.
● Prioritize features in areas such as real-time data ingestion, schema validation and evolution, data governance, and AI-ready capabilities.
● Ensure seamless integration with Snowplow’s existing offerings and ecosystem.
Cross-Functional Leadership:
● Partner with product marketing to develop positioning, messaging, pricing and go-to-market strategies.
● Support sales and customer success teams by delivering product training and supporting tools and documentation.
● Drive collaboration across teams to ensure product deliverables meet quality and timeline goals.
Thought Leadership:
● Represent Snowplow at industry events and conferences, showcasing our innovation in AI and behavioral data.
● Contribute to the company’s thought leadership by publishing white papers or blogs.
We’d Love to Hear From You If Have:
● Exceptional experience in product management, with at least 3 years in data infrastructure, data analytics, or AI/ML driven platforms.
● Proven ability to deliver innovative products in areas such as data ingestion, processing, and enrichment.
● Strong understanding of multi-modal data types (e.g., text, audio, video, IoT) and their use cases.
● Familiarity with Python-centric toolkits geared for AI engineersExperience with stream processing, knowledge graphs, vector databases, AI/ML integrations is highly desirable.
● Excellent communication and leadership skills, with the ability to work across technical and non-technical teams.
● Previous experience with SaaS or enterprise software business models.
● Bachelor’s degree in Computer Science, Engineering, or a related field; MBA or equivalent experience preferred.
Bonus points for:
● Familiarity with cloud-native architectures and tools like Kafka, Snowflake, Databricks, and Apache Iceberg.
● Experience building products for real-time, AI/ML driven applications.
● Understanding of data governance and compliance considerations (e.g. GDPR, CCPA).
What We Offer You in Return:
💰 A competitive package, including share options
🏖 Unlimited PTO
🧘 Flexible working
✍️401k
🏥 Medical, dental and vision insurance
🫂 Mental health support
💻 MacBook and home office equipment allowance
📋Short & long term disability insurance
👪 Enhanced maternity, paternity, shared parental and adoption leave
