Director, Enterprise Sales Engineering - Brazil

Posted:
11/13/2024, 4:49:06 AM

Location(s):
São Paulo, Brazil

Experience Level(s):
Senior

Field(s):
Sales & Account Management

Workplace Type:
Hybrid

Datadog is looking for a dynamic and results-driven Director of Sales Engineering to lead a team of Sales Engineers and managers to drive Enterprise New Logo acquisition and Growth. As a leader within the Sales Engineering organization, you will collaborate with our Sales, Product, and Engineering teams to shape the technical vision for prospective and existing clients, focusing on high-impact partnerships, leadership,  and technical expertise.

In this role, you will recruit, mentor, and lead a team responsible for delivering value-based technical presentations, product demonstrations, and proof-of-value (POV) engagements. The Director of Sales Engineering will foster cross-functional relationships, strategize with Account Executives and Sales Leadership to drive pre-sales success, ensuring that Datadog’s platform solutions resonate with client needs in dynamic, multi-cloud environments across areas of Observability and Security

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You Will Do:

Leadership & Team Development

  • Hire, onboard, and develop a high-performing team of Sales Engineers and first-line managers across Latin America
  • Provide ongoing coaching and development for team members, focusing on both technical skills and sales acumen.
  • Conduct regular performance reviews, feedback sessions, and career development planning to foster a collaborative and growth-oriented team culture.

Strategic Sales Partnership

  • Partner with Sales leadership to define and articulate the Datadog value proposition to clients, aligning solutions with their business objectives.
  • Build strong relationships with key stakeholders within Datadog’s largest accounts, aligning technical solutions with business outcomes.
  • Ensure the team is proficient in Datadog’s entire suite of products and is up-to-date with new features, competitive landscape, and industry trends.
  • Work closely with Product Management and Marketing to relay customer feedback and inform the roadmap.

Process & Operational Excellence

  • Develop and refine sales engineering processes, methodologies, and tools to enhance pre-sales productivity and scalability.
  • Implement best practices for customer engagement, POV management, and cross-functional alignment.
  • Track and analyze performance metrics, identifying areas for process improvement and team efficiency.

Cross-functional Collaboration

  • Build and nurture relationships with cross-functional leaders in Customer Success, Product, Technical Post Sales, Marketing, and Engineering to ensure seamless transitions from pre-sales to post-sales and a unified customer experience.

Who You Are:

Experience

  • 10+ years of experience in Sales Engineering, Solutions Architecture, or a similar technical pre-sales role, with 5+ years in a management or leadership role.
  • Proven experience in the cloud, SaaS, or IT infrastructure space, with a strong understanding of monitoring, observability, and security solutions.
  • Exceptional leadership and coaching abilities, with a track record of building and scaling high-performing teams.
  • Able to travel via auto, train or air up to 40% of the time
  • Ability to articulate complex technical concepts and corresponding business outcomes in simple, impactful terms, with excellent written and verbal communication skills.
  • Familiarity with MEDDICC, Command of Message (CoM), or similar sales methodologies.

Benefits and Growth: 

  • Best-in-breed onboarding
  • Generous global benefits
  • Intra-departmental mentor and buddy program for in-house networking
  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.


About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.


Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

Datadog

Website: https://www.datadoghq.com/

Headquarter Location: New York, New York, United States

Employee Count: 1001-5000

Year Founded: 2010

IPO Status: Public

Last Funding Type: Post-IPO Debt

Industries: Analytics ⋅ Cloud Computing ⋅ Cloud Data Services ⋅ Cloud Infrastructure ⋅ Data Management ⋅ DevOps ⋅ Productivity Tools ⋅ SaaS