Jobs / United States / Datadog INC
Senior Technology Partner 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
About the Role Datadog’s Technology Partnerships team builds and scales partnerships with the technology companies that matter most to our customers from AI/ML platforms to data platform providers. As a Technology Partner Manager, you will own the full, 360-degree relationship with a portfolio of strategic Technology Partners, with a particular focus on cutting-edge AI/ML and Data Platform companies. You’ll be the connective tissue across three pillars of partnership: co-build (joint product and integration roadmaps), co-market (joint awareness and demand generation), and co-sell (joint pipeline and revenue). This is a highly cross-functional, relationship-driven role that requires equal comfort in a product roadmap discussion, a marketing planning session, and a sales enablement meeting. 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 • 360° Relationship Ownership: Own the end-to-end partner relationship for a portfolio of AI/ML and Data Platform technology partners, serving as the primary point of contact and trusted advisor across product, engineering, marketing, and sales stakeholders on both sides. • Co-Build: Partner closely with Datadog Product and Engineering teams to identify, prioritize, and drive joint integration roadmaps; ensure integrations are built, launched, and continuously improved to meet customer needs. • Co-Market: Design and execute joint marketing programs including webinars, blog posts, customer case studies, launch campaigns, and event collaboration with Datadog product marketing and partner marketing teams to build awareness and demand for joint solutions. • Co-Sell: Build and execute go-to-market and co-sell plans with Datadog channel team, partner field and sales teams; enable Datadog’s global sales organization and partner sellers on joint value propositions, use cases, and co-sell motions to drive pipeline and revenue. • Program Management: Track partnership commitments, joint business plans, and success metrics across the co-build, co-market, and co-sell pillars; report regularly to leadership on partnership health, pipeline, and revenue impact. • Cross-Functional Orchestration: Act as the connective tissue between partners and internal Datadog teams including Product, Engineering, Marketing, Sales, and Channels & Alliances to keep joint initiatives moving and unblock issues quickly. • Marketplace & Routes to Market: Ensure Datadog integrations are well-represented in partner marketplaces and directories, and identify new routes to market with partners, including joint listings on cloud and partner marketplaces. • Enablement: Create and maintain internal and partner-facing content including playbooks, battlecards, and training that helps both organizations clearly articulate the joint value proposition. • Market Awareness: Track trends across the AI/ML and data platform ecosystems to identify new partnership opportunities and ensure Datadog’s partner strategy stays ahead of a fast-moving market. Who You Are • Bachelor’s degree in Computer Science, Business, or a related field; an MBA is a strong plus. • 7+ years of experience in technology partnerships, alliances, partner management, or business development at a software, cloud, or SaaS company. • Experience managing the full partnership lifecycle including technical/product collaboration, marketing programs, and sales/co-sell motions • Comfortable working with technical products; able to understand integration architectures and translate them into clear business value for marketing and sales audiences. • Familiarity wi