Engineering Manager - AI Monitoring (AIM)
Hyderabad, India
New Relic
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We are excited to invite dynamic candidates to apply for the role of Engineering Manager overseeing our AI Monitoring initiatives. This position bridges the gap between leadership and technical expertise, thriving at the intersection of innovation in operational and AI/ML domains. As a key player in our organization, you'll have the unique opportunity to shape our technical path, foster cross-departmental collaboration, and lead impactful projects that accelerate business growth.
Introduction to AI Monitoring
Dive into the future with New Relic's groundbreaking AI Monitoring—the industry’s first APM solution providing unparalleled end-to-end visibility for AI-powered applications. AI applications represent a shift from traditional frameworks, harnessing advanced technology stacks featuring large language models (LLMs) and vector data stores. Our platform offers deep insights into key areas such as performance, cost, and quality, while exploring user interactions and response details across AI environments supported by vendors like OpenAI, Bedrock, and DeepSeek.
What you'll do
Leadership and Team Management
- Build and lead a dedicated AI Monitoring team, nurturing a culture of continuous learning and growth.
- Mentor engineers, attracting and retaining top talent while promoting diversity and inclusion.
Technical Direction and Strategy
- Define and spearhead the technical strategy to enhance developer efficiency and effectiveness.
- Set strategic goals with vision, skills, and tools that empower the team for success.
- Collaborate with stakeholders to identify key opportunities, showcasing team achievements.
Operational Excellence
- Develop and refine processes to improve team focus and efficiency.
- Enhance team and software health through regular evaluations and proactive measures.
- Implement DevOps practices for technical environment support, including managing on-call rotations.
Leadership in AI Monitoring
- Oversee the end-to-end deployment of AI monitoring features, ensuring scalability and reliability.
- Architect AI platforms to support ML model production, ensuring high availability.
- Collaborate across teams to align ML initiatives with company strategy, driving notable outcomes.
This role requires
- 10+ years of experience in leading distributed teams within a fast-paced environment, with direct people management.
- Strong leadership and communication skills to drive decision-making and inspire achievement.
- Proficient in Agile/Scrum methodologies for project planning and execution.
- Technical expertise in machine learning, AI, and software engineering, preferably in a SaaS environment.
- Experience in DevOps practices, technical support, and managing on-call rotations.
- Demonstrated success in mentoring and developing engineers across various career stages.
- Proficiency in Python & Node; familiarity with Java, .NET is advantageous.
- Knowledgeable in UI experiences using React & TypeScript.
- Bachelor's or Master's degree in a related field focusing on machine learning, AI, or software engineering.
Bonus Skills
- Experience with big data technologies such as Apache Kafka, Apache Flink, and Apache Spark.
- Familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn.
Why Join Us?
Be part of a pioneering team at New Relic —where innovation knows no bounds. Embark on a career journey filled with learning, growth, and impactful contributions. If you’re ready to lead the future of AI Monitoring and thrive in a dynamic environment, apply now to transform possibilities into reality with us!
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Please note that visa sponsorship is not available for this position.
Qualified applicants may inquire about visa sponsorship (including transfer of a current H-1B visa), but the company does not support or sponsor O-1, F-1, or J-1 visas, or candidates who require commencement of an H-1B "cap case" petition for future work authorization. This position is to be filled as soon as possible.
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Fostering a diverse, welcoming and inclusive environment is important to us. We work hard to make everyone feel comfortable bringing their best, most authentic selves to work every day. We celebrate our talented Relics’ different backgrounds and abilities, and recognize the different paths they took to reach us – including nontraditional ones. Their experiences and perspectives inspire us to make our products and company the best they can be. We’re looking for people who feel connected to our mission and values, not just candidates who check off all the boxes.
If you require a reasonable accommodation to complete any part of the application or recruiting process, please reach out to resume@newrelic.com.
We believe in empowering all Relics to achieve professional and business success through a flexible workforce model. This model allows us to work in a variety of workplaces that best support our success, including fully office-based, fully remote, or hybrid.
Our hiring process
In compliance with applicable law, all persons hired will be required to verify identity and eligibility to work and to complete employment eligibility verification. Note: Our stewardship of the data of thousands of customers’ means that a criminal background check is required to join New Relic.
We will consider qualified applicants with arrest and conviction records based on individual circumstances and in accordance with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. New Relic does not accept unsolicited headhunter and agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with New Relic.
Candidates are evaluated based on qualifications, regardless of race, religion, ethnicity, national origin, sex, sexual orientation, gender expression or identity, age, disability, neurodiversity, veteran or marital status, political viewpoint, or other legally protected characteristics.
Review our Applicant Privacy Notice at https://newrelic.com/termsandconditions/applicant-privacy-policy
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Big Data DevOps Engineering Flink Java Kafka LLMs Machine Learning OpenAI Privacy Python PyTorch React Scikit-learn Scrum Spark TensorFlow TypeScript
Perks/benefits: Career development Startup environment
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