Senior Sales Engineer - Majors
Senior Sales Engineer serving as a technical advisor for enterprise customers and Sales, leading discovery, demonstrations, solution workshops, and end-to-end technical evaluations. Requires 7+ years of enterprise sales or solutions engineering experience and advanced expertise in cloud, Kubernetes, security, and observability.
About the job
Responsibilities
- Partner with Account Executives to own the sales process and shape technical strategy across opportunities from pipeline generation through closed-won.
- Lead customer discovery to uncover technical challenges, business goals, and success criteria, translating them into tailored Datadog solutions and measurable outcomes.
- Deliver product demonstrations, technical presentations, and solution workshops for technical, business, and executive stakeholders.
- Own technical evaluations (POVs) end-to-end, including scoping requirements, defining competitive success criteria, creating project plans, and maintaining accountability.
- Identify, develop, and leverage technical champions across multi-stakeholder environments.
- Provide customer and field insights to Product and Engineering teams through structured feedback sessions.
- Maintain accurate activity, deal-progress, and customer-interaction records in related systems.
- Resolve technical and organizational blockers by collaborating with Product, Support, and GTM teams.
- Mentor peers, share best practices, and create reusable enablement assets.
Requirements
- 7+ years of experience in Sales Engineering, Solutions Engineering, or a technical customer-facing role in an enterprise environment.
- Ability to influence and adapt communication for technical, business, and executive audiences.
- Advanced experience with public cloud platforms, Kubernetes, APM/tracing, security, developer experience, and observability.
- Strong communication and consultative problem-solving skills.
- Ability to manage multiple opportunities and priorities in a fast-paced environment.
- Experience mentoring peers or contributing to team enablement.
- Experience using and scaling AI tooling.
- Growth mindset and curiosity.
- Willingness to travel as needed for customer engagements.
Benefits
- Best-in-class onboarding.
- Generous global benefits.
- Intra-departmental mentor and buddy program.
- New-hire stock equity (RSUs) and employee stock purchase plan (ESPP).
- Continuous professional development, product training, and career pathing.
- Inclusive company culture with Community Guilds and Inclusion Talks.
- Benefits may include healthcare, dental, parental planning, mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
Compensation
- Estimated yearly salary: $149,000–$198,000 USD.
- Compensation may also include equity and variable compensation, with actual compensation based on skills, qualifications, and experience.
Skills
AWS, Azure, GCP, Kubernetes, Apm, Distributed Tracing, Security, Developer Experience, Observability, AI Tools
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