Jobs / United States / Datadog INC
Product Operations Manager
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 roles6 certified filings for “Product Manager II” (Information Technology Project Managers) in NY: $181k–$205k, median $195k. Most were filed at wage level II (67%) — 2 lottery entries, ≈31% 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 product operations team enables product excellence at scale at Datadog. With over thirty standalone products on a single platform, product operations drives consistency, efficiency, and quality across the organization. As a Product Operations Manager, you will help the product organization do its best work. You'll build and scale the processes, frameworks, and cross-functional workflows that enable PMs and their partners to ship effectively. This includes touchpoints with inbound, delivery, outbound workstreams in product development. This is a role for someone who thrives in the space between teams: driving alignment, removing friction, and ensuring that the operational foundations of the product org can keep pace with Datadog's growth. 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 • Own and improve the full Product Development Life Cycle . Own and drive operational excellence for product launches. This includes coordinating across Product, Engineering, Marketing, Sales, Customer Success, and Support to ensure we are ready to bring quality products and support to our customers. • Build AI-powered workflows and agents that automate and accelerate operational work. From customer feedback triage to launch tracking to cross-functional reporting, you'll experiment with and deploy AI tools and custom agents to help the product org move faster and smarter. • Build and maintain a single source of truth for launches giving cross-functional partners real-time visibility into what's shipping, when, and what's needed from each team. • Drive centralized product knowledge and enablement , ensuring PMs and stakeholders have the tools, resources, templates, and context they need to succeed and making it easily discoverable. • Analyze and quantify product signals. Query product, CRM, and customer data systems to surface high-signal insights — aggregating and quantifying feature requests, identifying revenue opportunities, and measuring the impact of product decisions. You'll bring an analytical lens to operational work, turning raw data into clear, actionable recommendations for PMs and leadership. Minimum Qualifications • 4+ years of experience in product operations, program management, or a related relevant experience • Experience collaborating across multiple departments (Product, Engineering, Marketing, Sales, etc.) and aligning stakeholders with different priorities toward shared outcomes. • Experience communicating with and presenting to senior leadership at the Director+ level, both in writing and live settings. • Hands-on experience with product management and engineering tools (Jira, Confluence, GitHub, or similar), with a willingness to build and improve tooling as needs evolve. • Experience working in ambiguous environments where you've had to define the approach, prove out value quickly, and iterate, not just maintain an existing playbook. • Demonstrated ability to lead through influence rather than authority, building trust and driving outcomes across teams you don't directly manage. Preferred Qualifications • 2+ years of software engineering, technical product management, or other relevant technical experience. • Experience with GitHub for CI/CD, documentation workflows, or collaboration with engineering teams. • Proficiency in programming languages or SQL for data analysis, automation, or scripting • Experience building or deploying AI agents or automated workflows using frameworks • Professional use of AI tools such as Claude, ChatGPT, or Cursor, including prompt engineering and integrating AI