Full-Time
Partner Solutions Architect
Datadog
10,001+ employees
Cloud monitoring, analytics, and observability platform
No salary listed
Bengaluru, Karnataka, India
Hybrid
 Sales & Solution Engineering |
|---|
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- Possess a solid technical grounding with hands-on experience of IT Development and/or Operations
- Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of experience in a customer or partner facing technical role
- A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom
- Confident presentation skills
- Desired hands-on experience in two or more of the following areas: Observability: Datadog, Splunk, AppDynamics, New Relic or Dynatrace; Public Cloud: AWS, Azure, GCP, or Alibaba; Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry; Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go; Config Management: Terraform, Ansible, Puppet, Chef; CI / CD: Jenkins, Gitlab
- Ensure the successful onboarding, training, enablement, and certification of partner technical resources
- Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams
- Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices
- Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution
- Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities
- Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities
- Continuously help curate and evolve lead/best practices for Datadog platform adoption and success
- Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, etc.)
- Previous experience using Datadog and/or other cloud monitoring tools (APM, Infrastructure, Logs, Synthetics, NPM)
- Previous experience with root-cause-analysis, troubleshooting, debugging
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 hit $1.12 billion, up 36% year over year.
- Non-AI customer growth accelerated into the high-20% range for four straight quarters.
- More than 750 AI customers and 31 million-dollar accounts expand Datadog's revenue base.
What critics are saying
- OpenAI-linked usage cuts start in Q3 2026, hitting growth immediately.
- Datadog trades near 25x sales, leaving no cushion for execution missteps.
- A single nine-figure AI customer now drives sentiment and guidance volatility.
What makes Datadog unique
- Datadog unified observability and security into 100-plus DASH 2026 capabilities.
- Bits AI spans developers, security, and operations across the software development lifecycle.
- 58% of customers now use at least four products, proving platform stickiness.
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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
↓ -4%1 year growth
↑ 0%2 year growth
↑ 0%Bank of America reiterated its buy rating and $305 price target on Datadog following a 19% stock selloff triggered by third-quarter guidance. The observability platform beat second-quarter estimates but warned its largest customer, widely believed to be OpenAI, would reduce usage despite signing a nine-figure renewal covering 17 products. BofA analysts Koji Ikeda and George McGreehan argued the market overreacted to a single account's slowdown. Growth outside Datadog's largest customer has accelerated for four straight quarters, reaching the high-20% range. Customers paying at least $100,000 annually grew 23% year over year from a base of roughly 4,720 accounts. The price target implies 33% upside and rests on a 20.6x multiple of expected 2027 revenue, reflecting Datadog's projected 19% revenue growth against an 11% peer average.
Vercel welcomes Amit Agarwal, Standard Template Labs CEO and former Datadog President, to the board of directors. * August 7, 2026 Vercel announced a major leadership addition to strengthen its corporate governance. The agentic infrastructure platform has appointed industry veteran Amit Agarwal to its board of directors. Agarwal is currently the founder and Chief Executive Officer of Standard Template Labs. He also brings 25 years of valuable experience in enterprise software to this new role. Agarwal previously spent 13 years scaling operations at Datadog. He initially joined Datadog as Chief Product Officer back in 2012. Later, he stepped up as President in 2022 to guide global expansion. During his long tenure, he helped steer Datadog through its successful 2019 IPO. He ultimately expanded revenue at Datadog past $2.5 billion annually. Currently, he maintains a seat on the board at Datadog. "Amit scaled a developer product into an enterprise standard without losing the customer obsession that made it work," said Guillermo Rauch, founder and CEO of Vercel. "There are few operators in the world with his depth of product insight. We're fortunate to have his dual perspective as a board member and as a founder building on our platform." Consequently, this strategic board appointment arrives during a period of rapid financial momentum. Vercel expanded from frontend hosting into full-stack infrastructure for AI developers. Thanks to strong enterprise adoption, the company crossed $500 million in run-rate revenue recently. "Vercel has done something incumbents rarely do. Rather than being displaced by the AI wave, it evolved into the agentic infrastructure that many AI-native builders reach for first," said Agarwal. "I look forward to supporting the team as they take a platform developers already love and build it into a generational company." Meanwhile, Agarwal joins several prominent technology leaders on the Vercel board. These distinguished directors include Mitchell Hashimoto, Susan St. Ledger, and Steffan Tomlinson. Together, they support Vercel in delivering high-speed cloud infrastructure for modern developers worldwide. Accelerating enterprise cloud innovation. Vercel is also continuing to encourage creativity across its agentic workflow tooling. The engineering team is regularly releasing critical updates for autonomous software development. Therefore, companies are moving complex workloads to Vercel to improve developer velocity and deployment security. Finally, industry analysts view this board expansion as a big milestone for enterprise cloud adoption. Vercel is mobilizing the best executive talent to build the most advanced AI infrastructure to entrench its market dominance. This puts the platform in a unique position to power the next generation of cloud engineering. For more stories on executive leadership and business innovations, explore its CXO Insiders for the latest updates.
Datadog reported Q2 revenue of $1.12 billion, up 36% year-over-year and exceeding guidance. The company ended the quarter with approximately 33,400 customers, including 4,720 generating at least $100,000 in annual recurring revenue. Non-AI customer growth accelerated to the high-20% range. More than 750 AI customers used the platform, with 31 spending over $1 million annually. Product adoption expanded, with 58% of customers using at least four products. Billings increased 38% to $1.18 billion, whilst free cash flow reached $279 million. The company signed a nine-figure renewal with a major AI customer but expects usage to decline beginning in Q3, which is reflected in its outlook. Datadog projects fiscal 2026 revenue of $4.45 billion to $4.47 billion, representing roughly 30% growth.
Datadog reported Q2 2026 revenue of $1.12 billion, up 35.6% year on year and exceeding analyst estimates by 3.9%. The cloud monitoring platform's non-GAAP earnings of $0.65 per share beat consensus by 11.4%. Despite the strong results, Datadog's stock dropped 17.3%. The company raised its full-year revenue guidance to $4.46 billion and adjusted EPS guidance to $2.52 at the midpoint. Datadog reported 4,720 customers paying more than $100,000 annually, with billings of $1.18 billion at quarter end, up 38.1% year on year. Operating margin improved to 0.5% from negative 4.3% in the prior year period. Guidance for Q3 revenue of $1.14 billion came in 2.9% above analyst expectations.
Bank of America named Datadog its top software pick ahead of the cloud monitoring company's second-quarter earnings report on 6 August. The bank maintained its Buy rating despite the stock trading near its 52-week high of $278.76. BofA's confidence stems from analysis showing Datadog's revenue growth tracking Amazon Web Services performance, suggesting Wall Street's current estimates may be too conservative. The bank highlighted healthy demand signals, steadier large customer renewals, and stronger positioning in AI system monitoring as supporting factors. Analysts expect earnings of $0.58 per share on revenue of roughly $1.08 billion. Datadog shares closed at $267.97 on 31 July, up 108% over six months. The stock has beaten earnings expectations in each of the past four quarters.