datadog
GTM Strategy and Operations Associate - Product GTM
At a Glance
- Location
- New York, United States
- Experience
- 2–4 years
- Posted
- 2026-03-02T16:18:52-05:00
Key Requirements
Required Skills
Domain Knowledge
- Banking
Requirements
At least 2-4 years in GTM strategy & operations, management consulting, investment banking, or equivalent.
Proven ability to proactively develop actionable recommendations and process improvements from qualitative and quantitative data.
Experience manipulating and analyzing complex datasets using SQL or Python
Experience with Salesforce and other sales systems
Datadog values people from all walks of life.
Compensation & Benefits
Continuous training and career growth
New hire stock equity (RSUs) and employee stock purchase plan
Generous and competitive
US benefits
Friendly and inclusive workplace culture
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.
Responsibilities
Define and execute on our GTM strategy for specific products in close collaboration with Product and Product Marketing.
Own GTM performance measurement and business review cadences for our products, including forecasting and Monthly Business Reviews.
Conduct competitive and market analysis to inform and refine our GTM strategy.
Identify priority customer segments and target accounts for our products, and work with the field to ensure appropriate coverage.
Prioritize, design, and validate transformation programs to improve GTM performance based on quantitative analytics and qualitative insights.
Build a strong field/product feedback loop by analysing qualitative and quantitative data and regularly shadowing Sales and Customer Success calls.