DataDog Engineer – LLM Observability - Manager

PwC; New York (NY); On-site; USD 99,000 - 232,000; Full time

Job summary

A leading consulting firm is seeking a Manager in Cybersecurity & Privacy based in New York. This role involves leveraging DataDog for observability solutions and leading teams in providing insights into critical workflows. Candidates must have significant DataDog experience and a background in a related field. The company offers a comprehensive benefits package and salary range of $99,000 - $232,000, enhancing career development and innovation.

Benefits

Medical, dental, and vision benefits

401k

Vacation and sick leave

Qualifications

• Bachelor's Degree in Mathematics, Engineering, or Computer Science.
• At least 5 years of hands-on experience with DataDog.

Responsibilities

• Enhance DataDog integrations for improved monitoring capabilities.
• Mentor team members to develop their technical skills.
• Work with cross-functional teams to achieve project goals.

Skills

DataDog expertise

Cross-functional collaboration

Mentoring

Python programming

Cloud-native infrastructure

Education

Bachelor's Degree in Mathematics, Engineering, Computer Science

Master's Degree preferred

Tools

DataDog

Job description

Overview

Industry/Sector Not Applicable

Specialism Cybersecurity & Privacy

Management Level Manager

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

The Opportunity

As part of the Data and Analytics team you will architect and implement observability solutions for Large Language Models, providing real-time insights into critical workflows. As a Manager, you will lead teams in developing quality deliverables while cultivating meaningful client relationships and navigating complex challenges. This role offers the chance to leverage advanced technology and innovation, driving success in a rapidly evolving field.

Responsibilities

• Enhance DataDog integrations for improved monitoring capabilities
• Work with cross-functional teams to achieve project goals
• Mentor team members to develop their technical skills

What You Must Have

• Bachelor's Degree in Mathematics, Engineering, Computer Science
• At least 5 years of hands-on experience with DataDog

What Sets You Apart

• Master's Degree preferred
• Experience in architecting DataDog integrations
• Developing and maintaining observability for LLM platforms
• Working with cross-functional teams for automation
• Leading root-cause investigations for LLM incidents
• Contributing to open-source DataDog integrations
• Publishing or presenting in LLM observability field
• Engaging with DataDog and MLOps communities
• Experience with additional observability platforms
• Possessing specialization in architecting observability across large-scale LLM or GenAI systems
• Proficient in instrumenting Python, Node.js, Java, or Go applications
• Demonstrated experience with cloud-native infrastructure (AWS, Azure, GCP)
• Extensive understanding of LLM architectures, embeddings, and evaluation metrics
• Ability to implement and manage DataDog security monitoring and compliance reporting

Travel Requirements
Up to 40%

Job Posting End Date

Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance