Manager I, Engineering - Sensitive Data Scanner

Posted 2 Days Ago
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Paris, Île-de-France, FRA
Hybrid
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
We are building the monitoring and security platform for developers, IT ops teams and business users in the cloud age.
The Role
Lead and grow a Paris-based engineering team building real-time sensitive data detection for Datadog telemetry (logs, APM, RUM). Partner with product and cross-functional teams, stay hands-on in design and on-call, recruit and mentor engineers, and shape product and roadmap decisions focused on customer and business outcomes.
Summary Generated by Built In

We’re looking for an Engineering Manager to lead our Sensitive Data Scanner (SDS) Telemetry team. The SDS group’s mission is to be the world’s easiest-to-use tool to discover, classify, manage, and report sensitive data risks across cloud, on-premise, and code environments. This team builds and scales the detection capabilities that scan all telemetry data flowing into Datadog — logs, APM spans, and RUM events — operating in streaming, at processing time, and at very large scale. You’ll lead a small, close-knit team based in Paris, with the opportunity to shape how the team grows as SDS Telemetry’s scope expands. It’s a chance to combine hands-on technical leadership with direct customer and product impact in the security and observability space.

At Datadog, we place value in our office culture — the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.


What You’ll Do:

  • Lead and grow a team of engineers building real-time sensitive data detection across Datadog’s Logs, APM, and RUM telemetry pipelines
  • Partner closely with the Logs, APM, and RUM teams, plus Datadog’s Trust & Safety team, to align on roadmap and integration priorities
  • Shape product direction by working closely with Product, grounding decisions in customer needs and business impact
  • Stay hands-on: contribute to design decisions and participate in the team’s on-call rotation
  • Recruit, mentor, and develop engineers as the team grows beyond its initial size
  • Help build a strong engineering culture as part of Datadog’s broader Sensitive Data Scanner group

Who You Are:

  • You have experience building and shipping revenue-generating products, with strong product acumen and a customer-first mindset
  • You have hands-on experience with Go and/or Java, and a track record building distributed, streaming systems at scale
  • You have experience managing engineers — or are ready to step into your first formal management role — and know how to set goals, give feedback, and help a team grow
  • You measure success through customer and business outcomes, not just output shipped
  • You’re comfortable weighing tradeoffs between speed and correctness, ideally from experience in a fast-moving environment

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.


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)
  • Access to Inclusion Talks, our internal panel discussions
  • Free, global mental 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.

#LI-Hybrid

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.

Skills Required

  • Experience building and shipping revenue-generating products
  • Hands-on experience with Go and/or Java
  • Track record building distributed, streaming systems at scale
  • Experience with telemetry data and pipelines (Logs, APM, RUM)
  • Experience managing engineers or readiness to step into first formal management role
  • Strong product acumen and customer-first mindset

What the Team is Saying

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Datadog Compensation & Benefits Highlights

  • Healthcare Strength Health and mental‑health coverage is described as comprehensive, with multiple plan options, dedicated mental‑health access, and wellness reimbursements in eligible offices. These offerings are consistently highlighted as a standout element of the package.
  • Parental & Family Support Fully paid, gender‑neutral parental leave and broad family‑forming support (e.g., adoption, fertility, childcare assistance) indicate robust coverage for caregivers. Pet‑related benefits and community programs further reinforce family support.
  • Equity Value & Accessibility Equity features include new‑hire RSUs and an employee stock purchase plan that enables discounted ownership. These components are frequently cited as meaningful contributors to total compensation.

Datadog Insights

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The Company
HQ: New York, NY
6,500 Employees
Year Founded: 2010

What We Do

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers' entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another.

Why Work With Us

At Datadog, we learn from and celebrate each other daily - each win is a team win. Datadogs solve tough problems, innovate pragmatically, and grow together. We promote from within, provide mentorship and opportunities for career development, and support our colleagues in the process. Best of all? We truly love what we do.

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Datadog Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them and their team.

Typical time on-site: 3 days a week
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