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, security, privacy, and compliance standards.
• Begins to develop a system-level approach, understanding how data platform architecture, query performance, and indexing decisions ripple across consuming security products and operational costs.
• Exposure to security concepts such as logging pipelines, telemetry analysis, monitoring, or threat detection systems a plus.

Complexity and Problem Solving

• Collaborates with Engineering Managers, Tech Leads, Data Science Engineers, and internal stakeholders to maintain backlog priority, sizing, and acceptance criteria for data platform and AI enablement work.
• Communicates and escalates unexpected delays, cross-team blockers, data quality issues, or non-prioritized asks from integrating teams.
• Analyzes platform telemetry, query latency/throughput, data reliability metrics, and performance signals to determine the highest-value backlog items and platform optimizations.

Collaboration & Interaction

• Partners with Engineering to define technical acceptance criteria and ensure tickets/epics are properly documented before scheduling into sprints.
• Collaborates with consuming product teams and operational stakeholders to define success criteria and validate that data platform and AI features resolve the intended operational challenges.
• Engages Engineering to monitor telemetry related to platform usage, storage/compute efficiency, and AI  effectiveness, reporting regularly on key operational metrics.
• Develops strong working relationships with Engineering and Data Science teams as a trusted technical subject-matter partner, and proactively collaborates with peer Product Managers as well as cross functional teams.

Why This Role

This is real technical ownership, not requirements administration. You'll partner directly with engineering on systems that the rest of the platform depends on, with genuine architectural input: reviewing HLDs, shaping tradeoffs, and building prototypes to test direction before engineering commits. You'll join a small team at the ground floor of one of the first governed AI-access layers in the security industry, with a growth path shaped by how fast this space matures, not a fixed org chart.

What You Get

Arctic Wolf is recognized on the Forbes Cloud 100, Fortune Cyber 60, and named a Top Workplace across multiple regions, backed by a platform trusted by 7,000+ customers worldwide. In Bangalore, that comes with flexible annual leave and paid volunteer days, training and career development programs, comprehensive private medical coverage for you and your family, life insurance at 3x compensation, personal accident insurance, and fertility support and paid parental leave.

On-Camera Policy

To support a fair, transparent, and engaging interview experience, candidates interviewing remotely are expected to be on camera during all video interviews. Being on camera fosters authentic connection, improves communication, and allows for full engagement from both candidates and interviewers. We understand that technical, bandwidth, or location-related challenges may occasionally prevent video use. If this applies, candidates are required to notify us in advance so we can explore appropriate accommodations.

About Arctic Wolf

At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2025), Best Places to Work – USA (2021-2025), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024-2026), and Kununu Top Company – Germany (2024-2026). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 10,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry.

Our Values  

Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that—by protecting people’s and organizations’ sensitive data and seeking to end cyber risk— we get to work in an industry that is fundamental to the greater good.  

We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.   

We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.  

All India wolves receive compelling compensation and benefits packages, including:  

• Equity for all employees 

• Flexible annual leave, paid holidays and volunteer days 

• Training and career development programs 

• Comprehensive private benefits plan including medical insurance for you and your family, life insurance (3x compensation), and personal accident insurance. 

• Fertility support and paid parental leave 

• Employee Assistance Program

Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodation by emailing [email protected].   View our Hiring Page to learn more about our application process.

Security Requirements 

• Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes, and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies). 

• Background checks are required for this position.  

• This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”).  Please note that, if applicable, an offer for employment will be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations.