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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for data platforms, with a strong technical foundation in storage, query engines, and cloud architecture. Proficient in leveraging AI tools for product development and decision-making while ensuring compliance with data sovereignty and residency requirements.
Highest-signal resume keywords
Product Management ExperienceData Platform StrategyAI and LLM ToolsCloud ArchitectureData Sovereignty Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyData ProcessingQuerying with NRQL and SQLStreaming AlertsData StorageDistributed SystemsData WarehousingReal-Time ProcessingUsage-Based PricingObservability
Soft Skills
Excellent CommunicationInterpersonal SkillsLeadership Through InfluenceAnalytical ThinkingBias for Action
Tools & Technologies
New RelicAWSAzureGCPAI Tools
Industry Keywords
Data SovereigntyData ResidencyEnterprise B2B SaaSTelemetry DataRegulated Environments
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformSQL
About the role
Key responsibilities & impact- Own the product strategy and roadmap for Dirac, New Relic's data platform
- Define how data is stored, tiered, retained, priced, processed, queried, and federated across clouds, regions, and sovereign boundaries
- Shape querying experiences using NRQL, SQL, and AI-driven natural language queries
- Define streaming alerts, aggregation, roll-ups, and in-platform processing
- Lead federation and data sovereignty strategy, including New Relic Lens, data residency, and compliance requirements
- Prototype, test, and ship AI features on the platform
- Use AI tools to improve productivity, analyze data, and develop products
- Conduct ongoing customer discovery with enterprises and startups
- Track platform metrics including query volume, latency, data stored, cost per GB, and adoption
- Partner with engineering, architecture, design, finance, sales, and marketing on product delivery and go-to-market launches
- Explain technical tradeoffs to engineers and executives and align stakeholders
Requirements
What you’ll need- A Bachelor's degree or equivalent practical experience
- 5+ years of product management experience building and launching technical products, ideally platform, data, or infrastructure products
- Strong technical foundation in storage, query engines, distributed systems, and cloud architecture
- Hands-on experience with AI and LLM tools
- Ability to analyze qualitative and quantitative data and turn it into high-impact decisions
- Comfort with ambiguity and complexity
- Excellent interpersonal, written, and verbal communication skills
- Ability to lead through influence rather than authority
- Strong bias for action
- Experience with databases, data warehouses, lakehouses, or query engines is a bonus
- Experience with observability is a bonus
- Experience with streaming and real-time processing systems is a bonus
- Familiarity with data sovereignty, data residency, or regulated environments is a bonus
- Direct experience with observability products or telemetry data at scale is a bonus
- Experience with usage-based pricing, unit economics, or COGS on a data platform is a bonus
- Experience with public cloud infrastructure services (AWS / Azure / GCP) is a bonus
- Enterprise B2B SaaS experience with a developer or data persona is a bonus
- Visa sponsorship is not available for this position
- Must complete identity and employment eligibility verification
- Must pass a criminal background check
Benefits
Comp & perks- Corporate bonus plan
- Healthcare benefits
- Dental benefits
- Vision benefits
- Parental leave and planning
- Mental health benefits
- 401(k) plan and match
- Flex time-off
- 11 paid holidays
- Volunteer time-off
- Other competitive benefits
- Flexible workforce model, including fully office-based, fully remote, or hybrid workplaces
