Senior Technical Solutions Operations Engineer

1 week ago

Boston, MA, United States Datadog Full time

We are seeking a Senior Technical Solutions Operations Engineer (Sr TSOE), on our Technical Solutions Operations (TSO) team, to lead the configuration, optimization, and governance of the tech stack supporting Datadog's Technical Solutions team members across the globe. Delivering impactful high-quality solutions for a highly technical, enterprise-grade customer base, this role combines deep hands-on expertise with systems-level thinking, process design, and automation. The successful candidate will play a key part in configuring, optimizing, and future-proofing our tech stack - Zendesk, Assembled, AWS, Workato, Snowflake, Salesforce, and more. You will implement platform enhancements, lead automation initiatives, and serve as a key liaison across internal and external teams.

Key Responsibilities:

  • Design, implement, monitor, and maintain scalable workflows, triggers, SLAs, and automations, using process mapping and root cause analysis to continuously reduce operational friction and improve business outcomes.
  • Collaborate with cross-functional teams to integrate core platforms with internal systems (e.g., Zendesk, Jira, Salesforce, Slack, SSO, analytics platforms).
  • Contribute to the evaluation and deployment of AI-powered tools (e.g., summarization, intelligent routing, and agent-assist) that enhance agent productivity and customer experience.
  • Manage roles, groups, and permissions across a global user base, ensuring compliance with data privacy and security standards (e.g., SOC 2, GDPR).
  • Stay current on industry innovations to continuously improve our tech stack. Contribute to roadmap planning, evaluating new features, and leading system upgrades and change management.
  • Collaborate with vendor representatives to manage system escalations and influence product direction.
  • Work a hybrid model of 3-5 days in office per week.
Qualifications:
  • 4-6+ years of hands-on experience developing integrated solutions in Zendesk or Salesforce, using off-the-shelf and custom-built components in a global, enterprise SaaS environment.
  • Solid technical background with an engineering degree in computer science or information systems.
  • Experienced in programming/scripting with any of the following: Python, JavaScript, Java
  • Experience supporting or implementing AI/automation in a support context (e.g., triage, routing, deflection).
  • Strong understanding of API-based integrations and automation platforms. Familiarity with middleware/integration tools and REST APIs.
  • Excellent analytical, communication, and documentation skills.
  • Experience with data analytics and reporting (e.g., Metabase, Tableau) is a plus.
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.

To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.

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.

The reasonably estimated yearly salary for this role at Datadog is:

$110,000-$161,500 USD

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 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 other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog's Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

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