Datadog

Datadog

Senior Enablement Program Manager, Technical Solutions

New York, New York, USA · Senior

Sponsorship not specified$116k-$155kDetected 3 days ago
TypeScriptDatadogData EngineeringAccessibilityJiraConfluenceStakeholder ManagementOKRsSalesforceCustomer SuccessCustomer SupportLeadershipCommunicationCollaboration

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level II · 2×
Level I$66,9141 entry
Level II$99,8402 entries
Level III$132,7463 entries
Level IV$165,6724 entries

$16,746 more$132,746 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $132,746 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer Occupations, All Other" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Computer Occupations, All Other (15-1299) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

15 transfer filings in the last year, covering 15 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • Datadog values people from all walks of life.
  • We understand not everyone will meet all the above qualifications on day one.
  • Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence.

Responsibilities

  • Own the end-to-end strategy and execution for complex, global enablement programs-managing multiple concurrent workstreams across regions, functions, and timelines with limited guidance.
  • Lead cross-functional stakeholder relationships with senior partners across StratOps, Product, TS Leadership, and the People Team-negotiating scope, aligning on priorities, and driving accountability without positional authority.
  • Design and implement comprehensive metrics frameworks to measure change adoption and program effectiveness
  • Build and deliver executive-ready materials that tell a compelling business story-translating complex data, program updates, and regional insights into structured narratives with clear recommendations.
  • Design the tools, resources, communications, and training frameworks needed to support TS workflow changes at scale-partnering with Curriculum and Field teams on content development and delivery.
  • Partner with Global Support Engineering leadership to design ramp and enablement programs that account for differences in specialist vs. generalist skill development across the support org.
  • Mentor and develop junior EPM ICs on the team-providing structured feedback on program design and stakeholder management, and raising the quality bar across program work.
  • Identify and implement AI-powered workflows, automations, and process improvements that increase the efficiency, consistency, and scalability of enablement programs-from reporting and data pipelines to content creation and stakeholder communications.
  • Design and implement comprehensive metrics frameworks to measure change adoption and program effectiveness; pull and analyze Salesforce and LMS data to track performance against KPIs; present findings to senior stakeholders and iterate for lasting impact.
  • Maintain a deep, current understanding of regional needs, TS team performance, and functional priorities to ensure programs remain relevant and impactful across a global audience.

Requirements

  • Bachelor's degree and 6-8 years of related experience in enablement, program management, change management, or a closely related field-or a Master's degree with 4+ years.
  • Proven track record leading complex, multi-quarter programs with high visibility-comfortable operating independently and making sound judgment calls with limited oversight.
  • PROSCI/ADKAR certification (or equivalent) required.
  • Track record of successfully delivering global programs across multiple regions (Americas, EMEA, APJ).
  • Proficient with the Datadog platform and monitoring best practices (e.g., DD Fundamentals certified), with solid working knowledge of the observability industry and the personas your audience serves.

Compensation

  • $116,000 - $155,000 USD

Benefits

  • Generous and competitive benefits package
  • New hire stock equity (RSUs) and employee stock purchase plan
  • Datadog offers a competitive salary and equity package, and may include variable compensation.
  • Expert-level familiarity with instructional design methodologies (e.g., ADDIE, Kirkpatrick) and adult learning theory.

Company info

  • It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers.

Visa & Work Authorization

  • t 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

This listing is sourced directly from Datadog's careers page and normalized into a canonical job model.