Principal Product Manager, Intelligent Observability

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. The WEKA® Data Platform sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

As a Product Manager for Intelligent Observability, you’ll lead the strategy to make our high-performance data platform highly reliable and easy to troubleshoot—balancing rich observability with signal clarity. Your mission is to harness our telemetry to detect issues early, automate diagnostics, and build customer-facing tools like WEKA Home. By deeply engaging with support operations and Root Cause Analyses, you’ll turn insights into product enhancements, embedded guardrails, and best practices that reduce escalations, speed up resolutions, and improve customer satisfaction through a more resilient, self-healing platform.

Key Responsibilities:

Vision & Strategy: 

• Define and lead the product vision, strategy, and roadmap for advanced supportability and observability. Focus on proactive support, in-product best practices, and operational intelligence across hybrid deployments

Requirements & Prioritization: 

• Partner with Customer Success and Support to understand workflows and root causes of key issues, converting insights into proactive product requirements.
• Collaborate across customers, field engineers, and SREs to identify needs around failure prediction, automated RCA, and early anomaly detection.
• Conduct research on AIOps and competitor strategies for proactive support.

Roadmap & Execution:

• Maintain a backlog focused on proactive issue detection, faster diagnostics, and support case reduction.
• Drive implementation of guardrails and in-product best practices based on RCA findings.
• Specify features that analyze high-volume telemetry for self-service insights and problem precursors.
• Work with engineering to build analytics, ML, or AIOps features that reduce preventable issues.
• Track KPIs measuring proactive support impact.

Cross-Functional Collaboration:

• Partner with Engineering on scalable, real-time systems for proactive alerting.
• Align with Customer Success and Support to embed tools and insights into their workflows.
• Collaborate with design partners to build world leading AIOps and predictive analytics platforms.
• Support Product Marketing and Documentation with content on proactive support  features and best practices.

Go-to-Market & Enablement:

• Lead go-to-market plans focused on proactive support benefits.
• Develop training for internal teams and customers on using insights, guardrails, and best practices.

Required Qualifications:

• 10+ years in Product Management for enterprise software/cloud/infrastructure, focused on operational excellence.
• Strong partnership with Support and Customer Success; hands-on with RCA and translating feedback into product changes.
• Experience launching monitoring/diagnostics/observability features with measurable impact.
• Understanding of hybrid environments (cloud/on-prem) and related support challenges.
• Knowledge of observability, AIOps, analytics, and in-product guardrails.
• Technical familiarity with cloud, storage, Kubernetes, and networking.

Preferred Qualifications:

• Experience in or close collaboration with enterprise Support/Customer Success, including RCA.
• Background in high-performance or distributed systems.
• Experience with AIOps or predictive ML models.
• Familiarity with observability tools (OTEL, Prometheus, ELK, Kafka).

The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.