We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

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’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

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.

#LI-Hybrid

About the Role

Technical Account Managers (TAMs) are at the core of shaping the Netskope customer experience. As a TAM, you’ll be responsible for driving technical success across the customer journey, ensuring organizations realize the full value of the Netskope Cloud Security platform.

You’ll partner with customers to understand their business goals, cybersecurity strategy, and technical architecture, then guide them through adoption and operational maturity using tailored value realization plans. Acting as a trusted advisor, you’ll align customer objectives with the Netskope roadmap, share best practices, and connect them with the right resources across our organization.

Successful candidates are proactive, customer-centric team players with the empathy to build strong relationships and the technical acumen to provide strategic guidance. This role blends technical expertise with business insight, helping drive customer loyalty, retention, and growth.

Typical TAM activities

• Customer Success Planning: Partner with the Customer Success Manager to define and execute success plans, value realization roadmaps, and business reviews.
• Trusted Technical Advisor: Build strong relationships with customer champions and executives, guiding them on Netskope best practices, policies, and architecture design.
• Adoption & Enablement: Coach customer teams to become self-sufficient in day-to-day operations by providing enablement sessions, configuration guidance, and best practice recommendations.
• Health Monitoring & Optimization: Conduct tenant health checks, track adoption metrics, and proactively recommend improvements to strengthen the customer’s security posture.
• Issue & Escalation Management: Coordinate with Support and Engineering to resolve technical issues, ensuring customer advocacy and clear communication throughout escalations.
• Insights & Best Practices: Share new use cases, lessons learned, and optimization opportunities with customers and across the Netskope community.
• Product Alignment & Feedback: Champion customer needs with Product Management and Engineering; provide feedback on features and roadmap relevance.
• Technology Strategy Alignment: Partner with CSMs and customer stakeholders to ensure Netskope capabilities support and align with the customer’s evolving security and business objectives.
• Reporting & Communication: Deliver regular status updates and executive-level summaries to highlight progress, risks, and outcomes.
• Cross-functional Collaboration: Orchestrate resources across Netskope and the customer organization to drive successful adoption and long-term retention.

Job Requirements

• 5+ years of experience as a Professional Services Consultant or Technical Account Manager, with a proven track record of success and strong presentation skills at both the executive and architect levels.
• Solid knowledge and prior experience with network security technologies such as Proxies, Next-Generation Firewalls, SSL/IPSec, VPNs, SSO, DLP, and Encryption Gateways.
• Strong understanding of networking concepts, MDM, and Cloud APIs.
• Experience working with large enterprise customers (Fortune 500 experience a plus).
• Proficiency in at least one scripting language (e.g., Perl, Python).
• Familiarity with regulatory and compliance frameworks (HIPAA, PCI, PII, ITAR, GLBA, SOX).
• Knowledge of data encryption technologies, SIEM, and load balancing.
• Strong background in network architecture.
• Must be proficient in written and spoken English.

Education

• Bachelor’s degree preferred; relevant experience will also be considered

#LI-GL1

Job Description

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.

Job Responsibilities

• Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
• Identify features and relationships useful for the predictive modeling of market dynamics

Desirable Candidates

• Undergraduate, MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
• Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
• Strong analytical and quantitative skills
• Demonstrated interest in financial markets and systematic trading
• Clear, concise, and proactive communicator
• Detail-oriented
• Willing to take ownership of his/her work, working both independently and within a small team

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.