Associate Field Marketing Manager (US East and Canada)

Datadog is looking for a resourceful and creative Associate Field Marketing Manager to lead event strategy and execution for Datadog's AI product line across the East and Canada region. This role is ideal for someone passionate about AI and developer communities, enjoys engaging with technical audiences, and wants to build a market-leading brand presence for Datadog's AI offerings.

About the role

As part of the NAMER Field Marketing team, you will own the strategy, planning, and execution of a mix of practitioner-focused events, hands-on workshops, and surround activations at major AI conferences. This role is critical to scaling awareness and adoption of Datadog's AI products and building durable relationships with AI customers, prospects, and the broader developer community. We operate as a hybrid workplace to ensure work-life harmony.

Responsibilities

• Own the strategy, planning, and end-to-end execution of AI practitioner events, hands-on workshops, and meetups across the East and Canada
• Lead surround and off-site activations at major AI conferences (e.g., NVIDIA GTC, Ray Summit, AI Engineer Summit) to build brand visibility and drive engagement with target audiences
• Partner with Product Marketing and AI/ML product teams to translate Datadog's AI observability and LLM monitoring capabilities into compelling, technically credible event content
• Design and continuously improve hands-on workshop curriculum and live demos that showcase Datadog's AI products to practitioners and technical decision-makers
• Build scalable, repeatable event playbooks and toolkits so programs can be run consistently across multiple markets
• Manage vendors, venues, budgets, staffing, and on-site logistics, ensuring every event reflects Datadog's brand and delivers a seamless attendee experience
• Partner closely with Sales and Field Marketing to align event strategy with territory and pipeline priorities across NAMER
• Track, measure, and report on pipeline influence, attendee engagement, and program ROI, using data to continuously refine the event mix
• Cultivate and grow relationships with AI developer communities, meetup organizers, and local user groups to expand Datadog's reach and reputation
• Stay current on the AI/ML landscape and competitive events calendar to identify new opportunities for Datadog to show up and stand out

Requirements

• 1-2 years of experience in field marketing, event marketing, or program management, ideally with technical, developer, or AI/ML audiences
• Genuine enthusiasm for AI and machine learning, with the curiosity to go deep enough on the product to speak to it credibly at events
• Experience planning and running practitioner-focused events or hands-on workshops, from concept through post-event follow-up
• Strong project management skills, with the ability to manage multiple events, vendors, and budgets simultaneously in a fast-paced environment
• Excellent verbal and written communication skills, comfortable presenting to and engaging with technical audiences
• A collaborative, cross-functional operator who partners naturally with Sales, Product Marketing, and Product teams
• Process-oriented mindset with an interest in building scalable, repeatable programs
• Familiarity with marketing or sales tools (e.g., SFDC, Marketo) is a plus
• Ability to travel up to 50% of the time

Benefits

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best-in-class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
• Healthcare, dental, parental planning, and mental health benefits
• 401(k) plan and match
• Paid time off
• Fitness reimbursements
• Discounted employee stock purchase plan

Pay

The reasonably estimated yearly salary for this role at Datadog is $71,000—$94,000 USD. Datadog offers a competitive salary and equity package, which may include variable compensation based on the candidate's skills, qualifications, and experience.