Jobs › Companies › Datadog › Senior Product Manager, Chat, Video, and Collaboration Integrations

Über diese Senior Product Manager, Chat, Video, and Collaboration Integrations Stelle bei Datadog

Datadog · Vor Ort · New York, New York, USA

As the Senior Product Manager for Chat, Video and Collaboration Integrations, you will own and lead the development of integrations that connect Datadog with the tools engineers use every day, such as Slack, Microsoft Teams, Google Chat, Zoom, Google Meet, ServiceNow, Jira and Linear. You will ensure that teams can receive alerts and notifications, collaborate in channels and meetings, take action on Datadog data, and manage tickets with bi-directional syncing between Datadog and external platforms.

 

Products across Datadog, including Incident Response, Security, Alerting, and Bits AI, use these integrations to meet teams in their existing workflows. Linking these tools with Datadog streamlines communication, accelerates issue resolution, and enhances system visibility.  These integrations also support Datadog’s agentic initiatives by giving agents like Bits AI real time context from Slack, Teams, meetings, and tickets, enabling them to understand events and act where teams work.

 

We are looking for an experienced product manager who will engage with some of the world's leading tech organizations, as well as our partners, to gain a deep understanding of their chat and collaboration needs. You will set the vision for the platform, drive the development of new capabilities, including agentic workflows grounded in real-time context, and identify new integrations as customer needs evolve.

 

What You'll Do

  • Own the strategy and roadmap for Datadog's chat (Slack, Microsoft Teams, Google Chat), video (Zoom, Google Meet, Microsoft Teams) and collaboration (ServiceNow, Jira, Linear and others) integrations, end-to-end.

  • Build integrations as a platform: frameworks, APIs and guidelines that let product teams across Datadog ship great chat, video and collaboration experiences without starting from scratch.

  • Standardize how Datadog issues and tickets sync bi-directionally across external work management systems like ServiceNow and Jira.

  • Integrate AI capabilities across collaboration tools using real-time contextual data from chats, meetings, and tickets to automate actions.

  • Deliver scalable enterprise management features, including identity mapping, administrative governance, and security controls.

  • Partner with PMs across Datadog to plan joint OKRs and decide where to invest each quarter.

  • Talk to customers constantly, from fast-moving startups to the largest enterprises. Turn what you learn into crisp PRDs, design partnerships and prioritized roadmaps.

  • Support Sales, Solutions and Customer Success on strategic deals and migrations, and equip them to sell the integration story.

  • Define and track adoption, engagement and revenue-influence metrics. Make roadmap bets and be ready to defend them.

 

What You'll Bring

  • 5+ years of product management experience shipping technical B2B SaaS products, including ownership of a product area with multiple engineering teams.

  • Deep experience with integrations, platforms or developer-facing APIs, ideally on chat or collaboration surfaces (Slack, Microsoft Teams) or ITSM / work-management systems (ServiceNow, Jira).

  • A track record of driving roadmaps across organizational boundaries: aligning many stakeholders with competing needs without losing speed or focus.

  • Experience working with strategic technology partners, or a clear point of view on how to build partner relationships that move a product forward.

  • Strong technical depth: you can work through webhooks, sync models, auth, rate limits and AI/LLM trade-offs with engineers. You don't need to code, but you can go deep.

  • Enterprise instincts: you understand how large organizations run IT operations, and you've designed for their complexity without giving up simplicity for everyone else.

  • Experience (or genuine interest) in developer platforms, observability, incident response, ITSM, or AI-assisted and agentic product experiences.

  • Clear, persuasive written and verbal communication. You're comfortable presenting to executives, customers and partner leadership, on stage and in a working session.

  • A bias for action in ambiguity. This is a high-impact area where the roadmap is yours to shape.

 

Benefits and Growth

  • High income earning opportunities based on individual performance

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)

  • Continuous professional development, product training, and career pathing

  • Sales training in MEDDIC and Command of the Message

  • Intradepartmental mentor and buddy program for in-house networking

  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)

  • Free, global Spring Health benefits for employees and dependents age 6+, competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

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. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee 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

About Datadog: 

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.


Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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Wie sich dieses Gehalt für Product Manager vergleicht

Diese Stelle zahlt $216,000/yr — über der üblichen Spanne für Product Manager Stellen.

$113,335 dem Median $166,620 $217,720

Übliche Spanne $136,000–$198,500/yr, aus 69 vergleichbaren Product Manager Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Product Manager ansehen →

Über Datadog

We tackle some of the hardest technical problems while delivering a product that "just works" for our customers. And we are backed by some of the best VCs in NYC and the world.

Do you want to make a difference? Are you exceptional at your job, and intrinsically motivated by it? Do you eat hard problems for breakfast and find them beautifully simple solutions by lunchtime? Do you ever wish you were there in the early days of these startups everyone is talking about?

If so, we want to hear from you.

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