Jobs / United States / Datadog INC
Manager II, Engineering - Database Monitoring (AI)
Datadog INC · 🇺🇸 New York, New York, USA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 64 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 14 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Datadog INC paid sponsored hires in similar roles4 certified filings for “Manager I, Engineering” (Computer and Information Systems Managers) in NY: $240k–$286k, median $255k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Datadog INC
The US Department of Labor certified 64 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 14 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Datadog INC →
About the role
The Database Monitoring product is one of the fastest growing products at Datadog. We are not only monitoring databases, but providing self-healing loops on to our customers. For instance, we are building an AI agent which detects, remediates, validates, and deploys optimizations. We are seeking ambitious leaders who want to drive these initiatives from the ground up and own the lines of business which rely on them. You will help build and develop engineering teams, partner closely with Product, and help launch new capabilities that deliver measurable value to developers. AI-forward leaders with product engineering backgrounds will thrive in this role. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: • Launch new products and businesses into new markets. • Drive adoption and business outcomes alongside technical delivery, using customer feedback and product data to guide investment. • Continuously challenge the team to think about new vectors for market penetration. Our goal is to be in the toolkit of every company using a database. • Own the roadmap of the Database Monitoring product, with particular emphasis on AI features and developer personas. • Hire, mentor, and develop engineering managers and staff engineers across multiple geographies. Who You Are: • You have hands-on experience partnering directly with customers to refine product experiences, find product-market fit, and coach teams through the process. • You take ownership beyond product delivery, leading the go-to-market strategy and driving adoption and commercial success. • You have a proven track record scaling exceptional product engineering teams: hiring, coaching, performance management, and building appropriate team structures. • You have experience deploying applications on Postgres. 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 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: $244,000 — $305,000 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 pl