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product

Posted 3 days ago

Senior Product Manager, Data Visualization

at Datadoghq

New York, United StatesHybrid

Responsibilities

  • Set the strategy for Datadog’s visualization and analytical platform across products and customer segments
  • Expand Datadog’s analytical capabilities beyond observability data, enabling customers to explore and visualize third-party and business data alongside their telemetry
  • Build onboarding and guided workflows that help customers move from raw data to useful analysis faster
  • Define and measure success through improvements in time to insight, product adoption, analytical depth, and customer retention Who You Are

Requirements

  • experience for an AI-first world, combining natural-language interaction with the precision and control expert users expect
  • Bring automated investigation directly into visualizations through anomaly detection, dimensional analysis, and AI-powered investigation
  • Work closely with engineering, design, research, and go-to-market teams to turn technically ambitious platform investments into clear customer value
  • experience building technically complex products, ideally in analytics, visualization, observability, databases, developer tools, or business intelligence
  • You understand that great analytical products require both power and approachability—and know how to balance the needs of new and expert users
  • As Datadog expands into new data sources, audiences, and AI-powered workflows, this team will define how humans and agents explore and understand that data.
  • Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale.
  • It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.
  • Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.
  • Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.

Benefits

  • New hire stock equity(RSUs) and employee stock purchase plan (ESPP)
  • Datadog offers a competitive salary and equity package, and may include variable compensation.
  • Actual compensation is based on factors such as the candidate's skills, qualifications, and experience.
  • benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
  • The reasonably estimated yearly salary for this role at Datadog is: $192,000 — $240,000 USD

Additional details

  • Datadog’s visualization platform is how customers turn complex data into understanding and action.
  • It powers analytical workflows across nearly every Datadog product—from troubleshooting production systems to understanding security risk, product usage, and cloud costs.
  • You’ll shape the analytical capabilities used across Datadog’s product portfolio, working with a team of roughly 30 engineers and some of the strongest visualization talent in the industry.
  • Your goal is simple: shorten the distance between data and value.
  • That means helping new users reach useful insights faster, making sophisticated analysis easier to perform, and enabling experienced users to understand complex systems with greater speed and precision.
  • This is not just a charting role. You’ll define how customers query, explore, interpret, and act on data across Datadog.
  • At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table.
  • We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do
  • Make visualizations more self-explanatory and contextual through better labels, annotations, descriptions, and embedded system knowledge
  • Partner with product teams across Datadog to create coherent analytical experiences while preserving the flexibility required by different domains

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