Winter 2027, Summer 2027
Product Management Intern
Updated on 9/4/2026
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 on-site work from the New York office is required during the internship session.
Bachelor's
 Product (1) |
|---|
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- Pursue a degree in Computer Science, Software Engineering, or a related technical field.
- Have prior internship, project, or academic experience in product management, software engineering, or another product-focused technical role.
- Have exposure to business-to-business software product development and be able to communicate technical concepts clearly while collaborating with engineers and other technical stakeholders.
- Be interested in emerging technologies, including artificial-intelligence-powered developer tools and cloud technologies.
- Be available to work full-time from the Datadog New York office during one of the listed internship sessions.
- 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's Take
What believers are saying
- Q2 2026 revenue reached $1.12 billion, up 36%, and guidance rose to $4.46 billion.
- Datadog signed a nine-figure AI renewal and added a multiyear $30 million TCV deal.
- Vertosoft partnership and GetGo adoption expand public-sector and mobility footprints in 2026.
What critics are saying
- Datadog disclosed usage reductions from its largest customer, starting in Q3 2026.
- Palo Alto acquired Chronosphere in January 2026, directly targeting Datadog's observability turf.
- A sustained AI customer downswing would hit Datadog's usage-based revenue model within 2026.
What makes Datadog unique
- Datadog unifies observability, security, and cost controls across infrastructure, apps, logs, and AI.
- FedRAMP High certification gives Datadog for Government access to sensitive federal workloads.
- AI-native SAST now detects prompt injection across Python, Go, Java, C#, TypeScript, and JavaScript.
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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
6 month growth
↓ -8%1 year growth
↓ -4%2 year growth
↓ -4%GetGo cuts bug hunts with Datadog monitoring platform. Fri, 4th Sep 2026 (Today) GetGo has adopted Datadog's monitoring platform across its car-sharing service, giving the Singapore operator visibility across its technology systems. The deployment has reduced bug investigation time by 50 to 60 per cent and cut issue detection and resolution times by 30 to 40 per cent, according to GetGo. The company runs more than 3,000 vehicles across 1,700 locations in Singapore through its mobile app. The move came as GetGo's engineering environment became harder to manage during a period of rapid growth. Its cloud-native microservices platform supports both iOS and Android applications, increasing the number of systems engineers must monitor at once. Before the change, GetGo's monitoring tools were spread across different systems. As a result, engineering teams had to piece together data manually when problems emerged, slowing root-cause analysis and adding to operational work. The business also had limited real-time insight into how customers experienced its mobile app. That meant teams took longer to identify faults affecting user sessions and application behaviour. GetGo has now consolidated application monitoring, infrastructure monitoring, dashboards, log management, real user monitoring and software analysis on one platform, according to Datadog. The shift has reduced context switching for engineers and given the car-sharing operator a broader view of service performance. Real user monitoring has been one of the most important additions for the business, GetGo said. The tool has given teams direct visibility into user sessions, customer journeys and behavioural patterns that were previously difficult to track. That is significant for a car-sharing service that relies on a mobile app to manage bookings, access vehicles and support customer journeys from start to finish. Any service interruption or undetected software issue can affect customer trust and day-to-day operations. "As a company built on delivering seamless, on-demand mobility, blind spots have a direct impact on user trust and retention," said Kirivarnan Kumarasamy, Director of Engineering at GetGo. "Datadog brought our entire platform into view and enabled our teams to move from reactive troubleshooting to proactive, confident engineering." Every engineering team now uses the system for monitoring and troubleshooting, GetGo said. Earlier alerts have also helped staff deal with incidents before they cause significant disruption for customers. "Datadog has fundamentally changed how our teams operate. Every engineering team now relies on it as the backbone of their monitoring, troubleshooting and reliability operations," Kumarasamy said. "We can detect and resolve incidents before they significantly impact customers, giving our engineers the confidence to move quickly without compromising reliability and supporting both our day-to-day performance and longer-term ambitions." Growth plans The operational improvements are helping engineers spend less time investigating faults and more time on product development, according to GetGo. The company linked that shift to broader plans to grow its service and prepare for entry into markets outside Singapore. Executives also said the data generated by the system is informing decisions on system performance, scaling and investment priorities. For a business built around vehicle availability and app reliability, those metrics are becoming more important as usage expands. "The rich metrics and insights generated through the Datadog platform allow our teams and leadership to make more informed decisions about performance optimisations, scaling and future investments," said Kumarasamy. "We went from reacting to problems to engineering ahead of them, and Datadog made that possible. The confidence that full visibility into our platform provides is what will help us scale and expand into new markets." Wider push GetGo is also examining Datadog tools for AI-assisted log analysis, monitoring and security as part of its next phase of operational development. The company said those tools could improve engineering productivity, support more personalised services and strengthen oversight as the platform expands. Datadog framed the project as an example of how transport and mobility businesses are placing greater emphasis on software reliability as digital platforms become central to urban travel. Unified visibility across applications, infrastructure and user activity is becoming increasingly important for operators that rely on mobile services for customer access and transactions, it said. "As car-sharing becomes an increasingly critical part of urban mobility infrastructure, the stakes for platform reliability have never been higher. GetGo's ability to scale confidently and expand into new markets rests on having complete and unified visibility into every layer of its technology stack," said Adrian Towsey, Vice President of Commercial Sales for Asia-Pacific and Japan at Datadog. "With that foundation now in place, GetGo teams can dedicate more time to building and innovation while upholding the seamless mobility experience customers depend on."
Largest tech companies in France. Capco delivers services and solutions to fuel digital transformation for businesses, with a primary focus on working with clients across the energy and financial services industries. The firm, which is a Wipro subsidiary, has multiple office locations throughout Europe, including one in Paris. ServiceNow infuses its software products with artificial intelligence capabilities to provide businesses with automation solutions that support efficient workflows for teams like IT and customer service. The company works with organizations across industries like retail, financial services, transportation and healthcare. Fintech innovator Airwallex provides an AI-native financial operating system designed to assist businesses with cross-border operations. Its platform offers capabilities for payment acceptance, spend management, global accounts, billing and corporate cards. The company operates internationally with a local presence in France and supports more than 676,000 businesses. Consumer technology company SharkNinja designs small household appliances and lifestyle solutions across categories such as cleaning, food preparation, cooking and beauty. Operating under its dual brand names, Shark and Ninja, the organization sells products across global markets through digital platforms and retail partners. Based in Paris, Mirakl specializes in SaaS solutions that enable enterprises to establish and grow their own online marketplaces. While rooted in the French tech ecosystem, the company generates over 80 percent of its revenue internationally, highlighting a global presence beyond its home market. InterSystems offers an array of cloud-first data management solutions to help businesses overcome challenges and make informed decisions. The company says its technology has applications for industries including financial services, healthcare, retail, manufacturing and logistics. Magna is an automotive supplier with an expansive presence in North America and across the globe. The company operates over 300 manufacturing facilities and more than 100 centers for product development, engineering and sales. Valued at $42 billion in 2023, Magna employs approximately 179,000 individuals across 28 countries. Adyen is an international company working to deliver payments, data and financial management tools for a broad variety of business types. For example, RevenueProtect is the company's risk management solution, which applies machine learning to help businesses prevent, detect and respond to fraud. BlaBlaCar provides ridesharing in 21 European countries. The company differentiates itself from its competitors by matching customers with others traveling to the same destination and allowing them to share a ride. BlaBlaCar also helps riders book public transportation. Rubrik aims to help organizations enhance business resilience through data security solutions. The Rubrik Security Cloud leverages machine learning to combat cyber attacks, malicious insiders and operational disruptions and uphold data integrity and availability, even amid adverse conditions. Operating in the realm of cloud security, Datadog is a major employer of tech professionals around the world. Its premier platform provides digital security and monitoring, enabling companies to supervise their entire IT architecture while guarding against cyber threats. Datadog has partnered with major players like Samsung, Sony, Uber Freight and other household names. Snap has a French office in Quartier Pigalle, Paris. The company offers the Snapchat media app that combines visual media and communication. Users can engage with one another through messages, as well as videos and images using its variety of filters and lenses. It integrated a ChatGPT-based chatbot into its app, which can offer users personal, real-time suggestions and conversations. Soitec is a significant player in the semiconductor industry. Instead of developing chipsets, the company manufactures materials used in their production. The company holds over 4,000 patents for products used to create semiconductors for smartphones, computers, IT servers and automobiles. Dassault Systemes is a French software company with over 20,000 employees and the developer of the 3DEXPERIENCE platform. 3DEXPERIENCE is a virtual sandbox where companies can design proof of concepts for new innovations before spending resources to manufacture them. Dassault Systèmes is headquartered in the outskirts of Paris. 360Learning uses artificial intelligence to improve and modernize collaborative learning for the corporate environment. It provides client companies with software tools that enable training and upskilling programs. The company's global presence is fully remote, but it has headquarters in Paris. Media giant Comcast builds solutions to streamline TV advertising. Its technology serves the needs of both marketers and distributors, offering tools for monetizing media inventory, strategically targeting audiences and efficiently managing campaigns. The company operates more than 100 global offices, including a location in Paris. Navan, a travel and expense management company with an office in Paris, equips organizations with real-time data to keep traveling employees safe, reduce spend and drive productivity. The company's mobile app allows employees to track bookings and purchases in one place, and even change or cancel their trips. This streamlined approach ensures that finance teams have access to insights on employee spending. Hivebrite offers a mobile app that connects users to their corporate, educational or nonprofit network. The subscription-based platform provides features such as an RSS feed, media centers, newsletter delivery, event management and an integrated CMS. It allows its users to connect with other members, post job listings and share resumes. Capgemini is a large IT provider with a presence in over 50 countries. Its services include cloud computing, cybersecurity and generative AI product development. Capgemini's headcount stands above 300,000 employees.
Palo Alto (PANW) stock: CEO held talks to buy Okta and Datadog before CyberArk deal. Palo Alto Networks (PANW) stock: CEO Nikesh Arora held acquisition talks with Okta and Datadog before both fell through. Now eyeing Cribl and ClickHouse. By Trader Edge August 26, 2026 3 Mins Read Tldr. * Palo Alto Networks CEO Nikesh Arora held acquisition talks with Okta between late 2024 and early 2025, but talks broke down over price. * Arora also approached Datadog CEO Olivier Pomel in spring 2025, but Pomel was not interested and no formal offer was made. * Palo Alto went on to acquire CyberArk for $25 billion in July 2025 and Chronosphere for $3.35 billion in January 2026. * Those two deals contributed $338 million to the $3 billion in revenue Palo Alto generated in the April quarter. * Arora is now reportedly eyeing Cribl, valued at $3.5 billion, and ClickHouse, valued at $15 billion, as potential targets. Palo Alto Networks (PANW) CEO Nikesh Arora held talks to acquire both Okta and Datadog before they fell through, according to a report from The Information published Wednesday. Between late 2024 and early 2025, Arora met several times with Okta CEO Todd McKinnon. The two companies discussed how their products could work together, but the conversations stalled over price disagreements. Okta was valued at around $13.5 billion at the start of last year. It has since risen roughly 30%, giving it a market cap near $23 billion. In spring 2025, Arora approached Datadog CEO Olivier Pomel with the idea of a deal. At the time, Datadog was publicly valued at more than $40 billion. Pomel was not interested, and no formal offer was ever made. Since then, Datadog's market cap has roughly doubled to more than $80 billion. That kind of price tag makes any future deal far less likely. The deals that did happen. With Okta and Datadog off the table, Palo Alto moved in two other directions. In July 2025, it agreed to acquire CyberArk for $25 billion. Then in January 2026, the company paid $3.35 billion for Chronosphere, a log data and observability platform that competes with Datadog. Together, the two acquisitions contributed $338 million of the $3 billion in revenue Palo Alto reported for the April quarter. Palo Alto stock was down 0.38% on Wednesday, trading at $338.60. Datadog rose 2.95% on the news, while Okta fell 1.12%. A Palo Alto spokesperson said the company does not comment on "rumors or speculation." Spokespeople for Datadog and Okta did not comment. What Arora is looking at next. The M&A engine does not appear to be slowing down. Arora is now reportedly evaluating companies that complement Chronosphere's capabilities. Cribl, a data management startup valued at $3.5 billion, is one name on his radar. ClickHouse, a database company that raised money at a $15 billion valuation in January 2026, is another. Arora is also said to be looking at deals in the AI security space. The thinking is that AI tools are changing how cyberattacks are carried out, making continuous monitoring a higher priority for enterprises. Chronosphere, which trades under the ticker CHRN, was down 4.64% on Wednesday. Stop guessing and start investing with confidence. KnockoutStocks gives you the AI insights, market intelligence, and stock research you need to spot opportunities, cut through the noise, and make smarter investment decisions - all in one powerful platform. Simply use coupon code SPECIAL50 at checkout to claim your exclusive discount. Limited Time Offer Get 3 free stock ebooks. Discover top-performing stocks in AI, Crypto, and Technology with expert analysis. * Top 10 AI Stocks - Leading AI companies * Top 10 Crypto Stocks - Blockchain leaders * Top 10 Tech Stocks - Tech giants
DDOG vs. NOW: Which cloud software Stock has an edge right now? 1 hour ago Back to top PDF Published on August 25, 2026 | NOW DDOG The Case for DDOG Stock Datadog presents an attractive cloud software opportunity as rising cloud and AI complexity increases demand for unified observability, security and workflow automation. Its SaaS platform integrates infrastructure monitoring, application performance, logs, user experience, cloud security and service management, helping organizations manage increasingly complex technology environments, improve collaboration across teams, accelerate problem resolution and expand automation. This broad platform approach gives Datadog multiple avenues to increase adoption within existing accounts.Second-quarter 2026 results reinforced this thesis as revenues jumped 36% year over year to $1.12 billion, free cash flow reached $279 million and $100K-plus ARR customers rose 23% to about 4,720. Trailing net revenue retention remained in the low 120s, while 58% of customers used at least four products, supporting a strong land-and-expand model.Datadog serves about 33,400 organizations, ranging from startups to large enterprises; more than 750 AI customers use its platform, including all 10 of the top AI leaders. This broad customer footprint gives Datadog exposure to both established enterprises and fast-growing AI workloads, while rising AI adoption could create additional demand for monitoring, security and management tools.Growth opportunities are expanding through AI-powered Bits Code, Bits Chat, Bits Agent Builder, AI Guard and autonomous incident remediation. The Adaptive ML acquisition adds reinforcement-learning expertise that could strengthen specialized agents and world-model research. Since July, Datadog has also advanced Cloud Cost workflows and Work Management, while its August AI-native SAST release broadens protection for LLM applications. Nevertheless, investors should consider the significant risks alongside these opportunities. Competition remains intense, while rapid technological change, cybersecurity threats, service interruptions and weaker IT spending could pressure growth. Datadog has also indicated that usage by its largest customer will decrease starting in the third quarter of 2026; this highlights the sensitivity of its usage-based model to changes in customer workloads. The Case for NOW Stock ServiceNow remains a leading cloud-based enterprise software platform helping large organizations manage technology complexity, automate workflows and connect data, AI and security. Its investment case rests on whether it can turn this broad enterprise footprint into a larger opportunity in AI, cybersecurity and workflow automation.However, investors should weigh several concerns first. In the second quarter of 2026, GAAP operating margin fell to 4% from 11% a year earlier, while GAAP gross margin declined to 70.5% from 77.5%, both contracted 700 basis points year over year, partly reflecting acquisition-related amortization and costs. Stock-based compensation alone represented 16.5% of revenues.The balance sheet also carries more financial obligations following the Armis acquisition. ServiceNow had $2.1 billion of commercial paper outstanding at the end of June, while it issued $4 billion of senior unsecured notes in May to refinance acquisition-related borrowing.The company is facing intense competition, including pricing pressure from vendors like Salesforce, while many enterprises are still struggling to prove AI returns after investing in small-scale AI trials. A U.S. federal channel partner and systems integrator accounted for 13% of second quarter 2026 revenues, highlighting some customer-concentration risk.However, ServiceNow's underlying demand remains strong. In the second quarter of 2026, subscription revenues rose 24.5% year over year to $3.88 billion, while cRPO increased 21% to $13.2 billion. The company also recorded 123 transactions exceeding $1 million in net new ACV, up nearly 40% year over year, suggesting continued strength in large enterprise deals. ServiceNow AI surpassed $1 billion in ACV, agentic AI deployments increased ninefold in nine months, and 658 customers had more than $5 million in ACV. This indicates that AI is beginning to translate from an emerging product opportunity into a meaningful commercial growth driver. Its above 8,800 customers include roughly 90% of the Fortune 500, giving ServiceNow a substantial installed base from which to cross-sell AI, security, CRM and other workflows. Share Price Performance for DDOG & NOW Year to date (YTD), DDOG shares have surged 66%, immensely outperforming NOW's 16.4% decline. Datadog's rally is supported by its faster revenue growth, expanding AI opportunity, deeper enterprise penetration and broader platform adoption. YTD Stock Performance Image Source: Zacks Investment Research Valuation Comparison Both DDOG and NOW stocks are currently overvalued, as suggested by the Value Score F and D, respectively. While DDOG trades at a higher forward 12-month P/S multiple of 15.93X versus 7.3X for NOW, its stretched valuation is supported by faster growth, expanding AI opportunities and deeper platform adoption. Therefore, DDOG's valuation leaves less room for execution disappointments, but its stronger growth profile could help justify the premium if momentum is sustained. Forward 12-Month (P/S) Valuation Image Source: Zacks Investment Research DDOG vs. NOW: Which Has the Stronger Growth Estimates? The Zacks Consensus Estimate for DDOG's 2026 earnings is currently pegged at $2.52 per share, implying approximately 23% year-over-year growth. More importantly, earnings estimates have trended higher over the past 30 and 60 days, suggesting improving analyst sentiment and potentially stronger expectations. Image Source: Zacks Investment Research By comparison, the Zacks Consensus Estimate for NOW's 2026 earnings stands at $4.07 per share, implying 15.6% year-over-year growth. However, estimates have trended lower over the past 30 and 60 days, suggesting relatively softer expectations for ServiceNow's earnings growth. Image Source: Zacks Investment Research Earnings-surprise trends further strengthen DDOG's case. Both companies have beaten the Zacks Consensus Estimate in each of the past four quarters. However, DDOG's average earnings surprise of 15.4% significantly exceeds NOW's 6.8%, indicating that Datadog has demonstrated greater consistency in outperforming analyst expectations. Conclusion DDOG emerges as the stronger pick over NOW, backed by faster revenue and earnings growth, stronger earnings surprises, rising estimates and expanding AI opportunities. Although its premium valuation raises risk, Datadog's accelerating platform adoption, resilient customer expansion, and exposure to growing AI workloads provide a more favorable growth profile, giving DDOG an edge.Currently, DDOG carries a Zacks Rank #3 (Hold), while NOW has a Zacks Rank #4 (Sell). You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here.
Datadog launches ai-native SAST for LLM vulnerability detection. 2h ago Cybersecurity Tl;dr. Datadog Code Security now detects LLM-specific vulnerabilities like prompt injection and excessive agency using taint and control flow analysis across six languages. Key points. * Covers OWASP Top 10 for LLM Applications with AI-native detection beyond pattern matching * Supports Python, Go, Java, C#, TypeScript, and JavaScript * Uses taint analysis, control flow analysis, and pattern matching for context-aware vulnerability detection * Integrates directly into PR workflows and CI pipelines with actionable feedback Why it matters. Traditional SAST tools miss LLM-specific vulnerabilities like prompt injection and hidden context exposure that don't appear until production. This addresses a critical gap for teams rapidly deploying LLM applications, shifting security left into development workflows where remediation is cheaper and faster.