Winter 2027, Summer 2027

Product Management Intern

Posted on 8/17/2026

Datadog

Datadog

10,001+ employees

Cloud monitoring, analytics, and observability platform

Compensation Overview

$48.08 - $52.88/hr

Company Historically Provides H1B Sponsorship

New York, NY, USA

Hybrid

Full-time work from the New York office is required during the internship session.

Bachelor's

Category
Product (1)
Required Skills
Product Management
Observability
Data Analysis

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Requirements
  • Pursuing a degree in Computer Science, Software Engineering, or a related technical field.
  • Prior internship, project, or academic experience in product management, software engineering, or another product-focused technical role.
  • Exposure to business-to-business software product development and the ability to communicate technical concepts clearly while collaborating with engineers and other technical stakeholders.
  • Interest in emerging technologies, including artificial intelligence-powered developer tools and cloud technologies.
  • Availability to work full-time from the Datadog New York office during one of the listed internship sessions.
Responsibilities
  • Conduct customer discovery conversations and gather feedback to better understand user needs.
  • Drive product initiatives from concept through launch alongside Engineering, Design, and Product Marketing teams.
  • Translate customer and business needs into clear product requirements and engineering priorities.
  • Analyze customer feedback, product data, and market insights to help inform product decisions.
  • Prepare and deliver technical product demonstrations and communication materials.
  • Develop technical understanding of Datadog’s observability platform and cloud infrastructure products.

Datadog provides a platform for monitoring and analyzing IT infrastructure, including servers, databases, and applications. The product works by collecting data from a user's cloud environment and displaying it in a single dashboard where teams can track performance, manage logs, and detect security threats. Unlike many competitors that offer fragmented tools, Datadog integrates monitoring, security, and analytics into one unified interface with a flexible pricing model based on data usage. The company's goal is to provide organizations with real-time visibility into their digital operations to ensure their systems remain reliable and secure.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

2010

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Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 2026 revenue hit $1.12 billion, rising 36% year over year.
  • Datadog serves 4,720 customers above $100,000 ARR, up 23% year over year.
  • More than 750 AI customers and 31 million-dollar accounts expanded product adoption.

What critics are saying

  • Datadog's largest customer reduced usage, and management baked that decline into 2026 guidance.
  • AWS CloudWatch, New Relic, and Splunk pressure Datadog in enterprise observability renewals.
  • If AI consumption slows, Datadog's concentration risk becomes an existential valuation shock.

What makes Datadog unique

  • Datadog unifies observability, security, and AI agent controls across one telemetry model.
  • DASH 2026 launched 100-plus features, including Bits AI autonomy and AI Guard.
  • Adaptive ML acquisition deepens Datadog AI Research and specialized agent post-training.

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Benefits

Health Insurance

Dental Insurance

Mental Health Support

401(k) Retirement Plan

401(k) Company Match

Company Equity

Employee Stock Purchase Plan

Professional Development Budget

Hybrid Work Options

Flexible Work Hours

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

-4%

1 year growth

0%

2 year growth

0%
Yahoo Finance
Aug 15th, 2026
Datadog raises full-year guidance despite largest customer usage reduction

Datadog reported second-quarter revenue of $1.12 billion, beating analyst estimates of $1.08 billion, with adjusted earnings per share of $0.65 versus expectations of $0.58. Despite the beat, shares fell sharply as the company disclosed usage reductions by its largest customer. The cloud monitoring firm raised its full-year revenue guidance to $4.46 billion from $4.32 billion and lifted adjusted EPS guidance to $2.52. The company now serves 4,720 customers paying over $100,000 annually, with annual recurring revenue reaching $4.71 billion. CEO Olivier Pomel said the company continues to see healthy customer demand trends, particularly amongst AI-native customers. However, management acknowledged incorporating the largest customer's usage decline into their risk assessment and forward outlook.

Yahoo Finance
Aug 13th, 2026
Datadog hits $1.1B quarterly revenue while Trade Desk faces volatility at $715M

Datadog's revenue has grown consistently quarter-over-quarter, reaching $1.1 billion in Q2 2026, whilst The Trade Desk's revenue fluctuates more, hitting $715.1 million in the same period. Datadog provides cloud-based monitoring software for businesses and recently acquired Adaptive ML to enhance AI capabilities. It posted a 4% net income margin for the quarter ended 30 June 2026. The Trade Desk offers a self-service digital advertising platform. It generated a 14% operating margin for Q2 2026 whilst navigating executive leadership changes and shareholder investigations. Datadog forecasts approximately $4.5 billion in revenue for 2026, up from $3.4 billion in 2025. The Trade Desk expects at least $650 million in third-quarter revenue.

Reuters
Aug 12th, 2026
AI code review platform CodeRabbit valued at $1.5 billion in latest funding round

AI code review startup CodeRabbit said on Wednesday it had raised $143 million in a funding round that valued it at $1.5 billion.

SiliconANGLE Media
Aug 12th, 2026
CodeRabbit raises $143M to manage AI code explosion with new governance platform

CodeRabbit has raised $143 million in Series C funding led by Atomico and Smash Capital. The round included participation from BMW i Ventures, Datadog, and existing investors including CRV and Scale Venture Partners. The company, which provides AI-enabled code review tools, has launched Agentic Change Management to help organisations manage the growing volume of AI-generated code. The new platform includes three capabilities: CodeRabbit Triage, which scores and routes pull requests based on value and risk; CodeRabbit Change Stack, which visualises a pull request's impact on system dependencies; and CodeRabbit Security, which monitors code after deployment and generates recommended fixes. Co-founder and chief executive Harjot Gill said code changes now originate from across organisations, including developers, non-technical personnel and coding agents, creating a need for expanded governance beyond simple quality reviews.

Treja Power SEO
Aug 12th, 2026
Essential web app monitoring tools for performance in Dixon, IL.

Essential web app monitoring tools for performance in Dixon, IL. August 12, 2026 By Treja Management LLC Editorial Team · Updated 2026-08-12 Web application monitoring tools such as Datadog, Dynatrace, Sentry, and Site24x7 track uptime, response times, and error rates across critical user paths. ManageEngine Applications Manager adds Real Browser Monitoring for identifying performance issues before end users notice. Engineering teams evaluating options should compare alerting depth, integration breadth, and pricing tiers against actual infrastructure complexity and traffic volume. Key takeaways. * Paessler PRTG, Sentry, Dynatrace, and Datadog rank among the 10 best website monitoring tools available today. * ManageEngine Applications Manager provides visibility into critical business applications across different website and web app types. * Website downtime causes user churn and support ticket burdens when applications fail to run smoothly. * Web application monitoring requires continuous oversight to maintain revenue-generating apps and prevent customer dissatisfaction. What should engineering teams monitor first? Performance, user traffic, and response times form the foundation of any monitoring strategy. These three signals reveal whether an application runs smoothly or silently drives customers away. Engineering teams that skip this baseline lose visibility into the exact moment a small slowdown becomes a business problem. Response time deserves priority attention. Up to 53% of visitors abandon a web application when a page takes longer than three seconds to load. A threshold that turns milliseconds into measurable revenue loss. Teams relying on manual checks or infrequent spot-testing miss these windows entirely. What technical signals matter beyond basic uptime? Monitoring platforms extend well past simple availability checks. Comprehensive web app monitoring tools track SSL certificate status, domain expiration, page speed, user journeys, and real user performance data, then route alerts through email, SMS, or team messaging channels. A layered monitoring approach typically covers: * Application performance and error rates * Traffic patterns and concurrent user load * Page-load speed tied to core web vitals APM benchmarks * Certificate and domain expiration windows * Real user session and journey tracking Where does search visibility fit into monitoring priorities? Technical health and search performance connect directly. The POWER Framework treats Web Vitals. AI Retrieval as a distinct methodology pillar, formally linking site speed monitoring to search performance tracking rather than treating them as separate disciplines. Teams that monitor both together catch ranking risk before it shows up in traffic reports. How does the POWER Framework close monitoring gaps? Fragmented dashboards leave engineering teams guessing which alerts matter and which signals point to real revenue risk. The POWER Framework closes that gap by unifying five disciplines into one operating system: Performance Architecture, Optimization and Semantic Mapping, Web Vitals and AI Retrieval, Experience and UX Signal Management, and Results and Revenue Attribution. Instead of stitching together separate web app monitoring tools, technical teams get a single structure connecting infrastructure health to search visibility and business outcomes. What makes this different from standard monitoring reports? Generic reporting tracks uptime and traffic without context. Treja Power SEO builds bespoke strategy around each engagement, pairing radical transparency with documented ROI rather than dashboards full of vanity metrics. Every engagement ties directly to pipeline performance, not surface-level counts. Does the framework account for AI-driven search behavior? Yes. APEX Automation and LLM/AI search visibility services extend the core framework into AI-driven monitoring, covering core web vitals APM alongside retrieval performance across large language model answer engines. The framework's five pillars break down as follows: | Pillar | Function | | Performance Architecture | Site speed and infrastructure health | | Optimization & Semantic Mapping | Content structure and topical coverage | | Web Vitals & AI Retrieval | Core metrics plus AI citation tracking | | Experience & UX Signal Management | User behavior and engagement quality | | Results & Revenue Attribution | Pipeline-tied search performance tracking | Each pillar feeds the next, closing gaps that isolated tools leave open. Ready to turn monitoring data into revenue? Uptime dashboards and error logs mean little without a path to pipeline. Treja Power converts monitoring data - response times, error rates, uptime percentages. Into measurable revenue growth for high-growth SMBs and global enterprise companies. That conversion runs through the proprietary POWER Framework, a system built to dominate both traditional search rankings and AI answer engines simultaneously. Engineering teams already track web app monitoring tools output daily. The gap sits between that raw telemetry and business outcomes like organic traffic, qualified leads, and closed revenue. Treja Power closes that gap by tying technical health metrics. Including core web vitals apm data - directly to search visibility and conversion tracking. How fast should results show up? Engagements follow a defined timeline. Results appear within 90 days, or a direct strategy discussion follows to reset the approach. What does starting the process involve? Scheduling a strategy session requires no commitment. The process runs through an HTTPS-encrypted booking flow, keeping technical evaluation low-risk for teams still comparing vendors. Technical decision-makers evaluating search performance tracking platforms gain a clear next step: * Review current monitoring data alongside search performance signals * Schedule a no-commitment strategy session * Receive a framework-based plan tied to measurable revenue outcomes Treja Power operates out of Dixon, Illinois, serving engineering and marketing teams nationwide. Effective monitoring tools for web applications represent a critical investment in operational excellence and user satisfaction. Organizations that implement comprehensive monitoring strategies gain visibility into system performance, identify issues before they impact end users, and make data-driven decisions to optimize their digital infrastructure. The selection of appropriate monitoring solutions depends on specific business requirements, application architecture, and scalability needs. By prioritizing robust monitoring practices, enterprises establish the foundation for reliable, high-performing web applications that support sustained business growth. Faq. Response time carries extra weight since up to 53% of visitors abandon a web application when a page takes longer than three seconds to load. What do web app monitoring tools track beyond uptime? Tools like Datadog, Dynatrace, Sentry, and Site24x7 track SSL certificate status, domain expiration, page speed, user journeys, and real user performance data. ManageEngine Applications Manager adds Real Browser Monitoring to catch issues before users notice. How does the POWER Framework improve on standard monitoring dashboards? The POWER Framework unifies five disciplines - Performance Architecture, Optimization and Semantic Mapping, Web Vitals and AI Retrieval, Experience and UX Signal Management, and Results and Revenue Attribution. Into one operating system. This connects infrastructure health directly to search visibility and business outcomes, unlike fragmented dashboards. Facts. * TREJA POWER is located in Dixon, il, US. * TREJA POWER has 1 employees.