Senior Product Manager - Journey Monitoring
Datadog is hiring a Senior Product Manager - Journey Monitoring in New York, United States. It pays $192k-$240k a year and Level rates it ; you can apply on Datadog.
Level's read on this job
- Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Pay on this posting starts 7% higher than the typical AI product manager posting on Level.
- The posting mentions product management, observability and b2b saas among its tools and skills.
- Level classes it as a senior role.
- Datadog has 433 other open roles on Level.
AI in this role
Drive product vision and roadmap for Journey Monitoring, incorporating automated features and AI integrations for root-cause investigations.
Today, organizations struggle to ensure their most important digital experiences are working as intended because observability data is scattered across products and siloed in logical layers of their technical stack. We're building the system that fixes this: Journey Monitoring, a single centralized hub that brings together Real User Monitoring (RUM), Synthetics, and Product Analytics to bridge the gap between system health and user success. You'd be building a product that establishes a new functional observability layer, enabling teams to auto-discover journeys, track conversions and uptime side-by-side, and trace root causes across their full stack without cross-team handoffs.
What you'll do:
- Drive the product vision and roadmap spanning the Journey Monitoring hub, including the journey map, details reports, automatically inferred journeys, and cross-product data federation.
- Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers, and other PMs across the Digital Experience Monitoring (DEM) products.
- Deeply understand the needs of distinct key personas: SREs and engineers (who monitor uptime and troubleshoot technical performance), product managers (who track conversion and investigate behavioral drop-offs), and business leaders (who care about outcomes and revenue impact).
- Design the functional observability layer that makes end-to-end flow monitoring intuitive — including the auto-discovery of user journeys from real traffic, Experience Level Objectives (XLOs), and seamless Bits AI integrations for automated root-cause investigations.
- Define how behavioral data and technical data come together to automatically surface whether a drop in conversion is caused by a technical failure (like a breached SLO) or a behavioral friction point.
- Engage directly with early customers and internal dogfooding users to iterate on usability, refine the journey map, and optimize the cross-sell and up-sell paths for customers with partial DEM product adoption.
- Independently research the competitive landscape across digital experience and business process monitoring vendors like Dynatrace, New Relic, Contentsquare, and Amplitude.
- Work with GTM teams to define positioning and messaging that establishes Journey Monitoring as the shared unit of analysis across engineering, product, and business teams.
Who you are:
- 5+ years of experience in B2B SaaS Product Management, with at least some of it spent on data-intensive, analytics, or digital experience monitoring products.
- You have domain knowledge of Real User Monitoring, Synthetics, Product Analytics, Application Performance Monitoring (APM), and how to bridge the gap between technical metrics and business outcomes.
- Strong analytical skills - you can write SQL, interpret complex data, and use data to drive product decisions.
- Experience with AI-powered products is a strong plus - you understand how to integrate AI workflows (like Bits AI root-cause analysis) to simplify cross-team triage.
- You have a strong sense of ownership with an entrepreneurial mindset - this requires someone comfortable with ambiguity and speed to push a major new capability to General Availability.
- Sharp communication skills with the ability to interact with technical stakeholders and executives alike.
- Bachelor's Degree in Engineering, Computer Science, Data Science, or equivalent experience is a plus.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- 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 and giving programs
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 USDAbout 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.
How we rate this
Senior Product Manager - Journey Monitoring at Datadog rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $192k
- Typical AI product manager job
- $180k
This posting starts 7% above the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where observability was part of your work. What did you do?
- Tell me about a project where b2b saas was part of your work. What did you do?
- Tell me about a project where roadmap strategy was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Product Management, Observability, B2b Saas, and Roadmap Strategy. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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