datadog

GTM Strategy and Operations Associate - Product GTM

Apply Now

At a Glance

Location
New York, United States
Experience
2–4 years
Posted
2026-03-02T16:18:52-05:00

Key Requirements

Required Skills

PythonSQLSalesforceTableau

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.