Job at a glance
At Arctic Wolf, you won’t just watch the cybersecurity industry evolve – you'll help lead the change. Our global Pack is made up of people who thrive on solving hard problems, moving fast, and building technology that protects organizations around the world. We’re proud to be recognized by Forbes, CNBC, Fortune, CRN, Bartner Peer Insights and IDC MarketScape – but what matters most is the work behind it: delivering real outcomes for customers through award winning innovation like our Aurora Platform.
If you’re looking for meaningful work, smart teammates and the chance to make a real impact in a high-growth company that’s redefining security operations, Arctic Wolf is the right place for you! Our mission is simple: End Cyber Risk. We’re looking for a Product Manager-Platform to be part of making this/that happen. Position Overview and Objective This Technical Product Manager role drives requirements, execution, and delivery for reliable, scalable data lake infrastructure and intelligent AI/ML capabilities that power Arctic Wolf’s security products and platform operations.
The TPM translates complex business, security, and operational needs into clear product requirements and technical specifications—initially supporting 1–2 engineering squads (scaling to 2+) across sprint planning, backlog refinement, prioritization, and milestone tracking. The role collaborates closely with Data Engineers, Data Science Engineers, Platform Architects and cross-functional stakeholders to support use cases such as log availability, telemetry analysis, threat detection, and intelligent alerting while ensuring solutions adhere to robust data security, privacy, and governance standards.
The role requires foundational technical fluency in distributed data systems and AI/ML lifecycles, Agile execution, and the ability to represent data platform capabilities authoritatively to integrating teams. Responsibilities Works with senior PMs to understand how data platform infrastructure and AI-enabled capabilities align with the broader platform vision and roadmap. Gathers and authors requirements, PRDs, user stories, and acceptance criteria for data pipelines, query services, data lake access layers, and AI/ML model integration workflows.
Defines project-level success criteria. Owns the product backlog and delivery execution for 1–2 engineering squads (growing to 2+), managing prioritization, dependencies, risk mitigation, and on-time release milestones. Collaborates with stakeholders (Platform Engineering, Data Science teams, Security Operations, and Architecture) to assess system capabilities, onstraints, and architectural trade-offs.
Validates, where possible, that High-Level Designs (HLDs) cover all validated use cases, data processing workflows, and performance requirements for platform features. Presents direction, roadmaps, and delivery status for data platform and intelligent capabilities to development teams and consuming product stakeholders. Answers authoritatively questions from teams integrating against data platform APIs, pipelines, and data access layers: what is supported today, what needs to be specified, and what is out of scope.
Identifies high-demand, heavy-lift platform requests, cost-optimization opportunities, and emerging AI use cases for consideration in future strategy and planning sessions. Knowledge & Experience Knowledge of Product Management discipline, requirements definition, and Agile/Scrum ceremonies and practices. Educational background in Computer Science or Software Engineering, or 2–5 years of equivalent technical/product experience.
Foundational understanding of distributed data systems, data pipelines, relational/non-relational data modeling, REST APIs, and cloud infrastructure components (e.g., AWS, GCP). Familiarity with AI/ML fundamentals and lifecycle concepts (e.g., training datasets, model evaluation metrics, inference pipelines, anomaly detection, or NLP). Understanding of data governance, s