Product Manager – Enterprise AI Operations & — Eli Lilly | Tech Job

📋 Job Details at a Glance 📍 Location Hyderabad, Telangāna, India 🏢 Company Eli Lilly 👥 Experience 0-2 years 🎓 Qualification Hands-on with Python, Kubernetes, AWS, Azure, Microservices. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python Kubernetes AWS Azure Microservices Product Manager – Enterprise AI Operations & Observability at Eli Lilly — Full Details & How to Apply Eli Lilly is seeking a Product Manager – Enterprise AI Operations & Observability in Hyderabad, Telangāna, India , where you will play a pivotal role in developing observability platforms that ensure the reliability and security of mission-critical systems. This position is a key opportunity for those looking to establish their career in the technology sector. The role of a Product Manager – Enterprise AI Operations & Observability is increasingly vital as organizations prioritize operational excellence in large-scale environments. With the rise of AI and cloud technologies, the demand for skilled professionals who can optimize observability platforms is at an all-time high, making this position a strategic asset for Eli Lilly . What sets Eli Lilly apart as an employer is its focus on innovation and excellence in the technology space. Known for its cutting-edge solutions, Eli Lilly fosters a culture that encourages growth and collaboration, making it an ideal workplace for aspiring tech professionals. We encourage 2023, 2024, 2025, 2026 graduates to apply, especially those who are hands-on with Python, Kubernetes, AWS, Azure, Microservices , and possess a relevant technical qualification and demonstrated shipping experience . This role is suitable for candidates with 0-2 years experience , and while the salary is not disclosed , the experience gained is invaluable. In this role, you will gain hands-on experience with essential technologies such as Python , Kubernetes , AWS , Azure , and Microservices . This experience will not only enhance your technical skills but also open doors to advanced career opportunities in product management and AI operations. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Product Manager – Enterprise AI Operations & Observability at Eli Lilly is to enhance system reliability and security through innovative observability platforms and cloud technologies. Lead the development of observability platforms using Python to ensure system reliability and security across enterprise operations. Utilize AWS and Azure cloud technologies to optimize enterprise operations and improve overall performance metrics. Collaborate with engineering teams to align on operational excellence, ensuring effective use of Kubernetes for container orchestration. Monitor performance metrics and automate processes, leveraging Microservices architecture to enhance operational efficiency. Own the maintenance and support of the observability platform codebase, primarily developed in Python . Document processes and improve reporting mechanisms to provide better operational insights and metrics. Troubleshoot issues in production environments, ensuring minimal disruption to services through effective use of AIOps . This role fosters an ownership culture, allowing you to directly impact the reliability and efficiency of enterprise operations at Eli Lilly . Required Skills & Technical Competencies The skill profile for this role emphasizes technical expertise in cloud technologies and programming languages essential for developing observability platforms. Technical Skills Python — entry — essential for developing and optimizing observability platforms to enhance system reliability. Kubernetes — entry — used for container orchestration, critical for managing Microservices in cloud environments. AWS — entry — a key platform for deploying and managing applications in the cloud, optimizing enterprise operations. Azure — entry — utilized for enterprise operations, enhancing the overall performance of cloud-based applications. Microservices — entry — foundational for building scalable applications, ensuring efficient resource management in cloud environments. When showcasing these technical skills in your resume or interview, emphasize your hands-on experience and specific projects that demonstrate your proficiency. Eligibility Criteria This role is designed for recent graduates and early-career professionals eager to apply their technical skills in a real-world setting. A relevant technical qualification is required, emphasizing the importance of technical expertise. Eligible batches include 2023 , 2024 , 2025 , and 2026 . Experience requirement is 0-2 years , explicitly accepting freshers. No specific CGPA requirement mentioned, but a strong academic background is preferred. A portfolio showcasing relevant projects or internships is advantageous. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant projects, and technical skills. Highlight any experience with Python , AWS , and Kubernetes . Pro tip: Tailor your application to emphasize your hands-on experience with AIOps and cloud technologies, as these are critical for this role. Salary for Product Manager – Enterprise AI Operations & Observability at Eli Lilly 💰 Compensation Not Disclosed The advertised compensation for the Product Manager – Enterprise AI Operations & Observability role at Eli Lilly is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Product Manager – Enterprise AI Operations & Observability Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with job requirements. Recommended Courses & Resources Python — Essential for developing AI solutions and automating processes. Kubernetes — Crucial for managing containerized applications in cloud environments. AWS — Key for deploying scalable applications and services in the cloud. Azure — Important for leveraging Microsoft’s cloud services in enterprise solutions. KodNest — Useful for enhancing coding skills and understanding software development best practices. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python — Ensure you highlight your Python skills clearly. ❌ Using a generic resume — Tailor your resume to reflect the specific responsibilities outlined in the job description. ❌ Listing technologies like Kubernetes without context — Provide specific examples of how you have applied these technologies. ❌ Ignoring the requirement for 0-2 years of experience — Make sure your experience aligns with the job requirements. ❌ Adding unrelated technologies — Stick to relevant skills and experiences that match the job description. ❌ Not verifying the job details before submission — Always check the official Apply URL for the most accurate information. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Product Manager – Enterprise AI Operations & Observability Optimizing your resume for ATS is crucial for ensuring it passes initial screenings and reaches hiring managers. ATS Keywords to Include Product Manager Enterprise AI Observability Python Kubernetes AWS Azure Microservices AIOps Operational Excellence Automation Performance Monitoring Resume Tips for This Role Highlight experience with Python, as it is a critical skill for the role. Emphasize familiarity with Kubernetes and cloud platforms like AWS and Azure. Showcase projects that involved observability or operational excellence. Use exact keywords from the job description to enhance ATS alignment. Avoid adding unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated experiences or technologies that do not directly support your application for this role. How to Apply for Product Manager – Enterprise AI Operations & Observability at Eli Lilly Apply Now — Eli Lilly Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Eli Lilly NexisGrow.com does not charge any fees for job applications. Eli Lilly Eli Lilly , founded in 1876 , is headquartered in Indianapolis, Indiana , and employs over 35,000 employees globally. With a presence in over 120 countries, the company has established itself as a leader in the pharmaceutical industry, focusing on innovative solutions for various health challenges. The company specializes in a range of products, including Trulicity for diabetes management and Verzenio for breast cancer treatment. Additionally, Eli Lilly invests in advanced technologies, such as AI-driven drug discovery , to enhance its product offerings and improve patient outcomes. Eli Lilly fosters a culture of collaboration and innovation, recognized by numerous awards, including being named one of the World's Most Ethical Companies for several consecutive years. Employee programs focus on professional development and community engagement, promoting a supportive work environment. Recently, Eli Lilly announced a significant investment in expanding its manufacturing capabilities in North Carolina , aiming to enhance production efficiency. The company is also actively pursuing partnerships in the tech sector to leverage machine learning for operational improvements. For freshers in Technology, Eli Lilly offers a robust career launchpad, providing hands-on experience with cutting-edge technologies like cloud computing and data analytics . The opportunity to collaborate with experienced professionals in a global setting enhances skill development and career growth. Company Details Industry Technology Location Hyderabad, Telangāna, India Connect With Us Careers Apply Now Website 🔗 lilly.wd115.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Product Manager – Enterprise AI Operations & Observability at Eli Lilly? Eligibility Tap to expand + Answer Candidates with Hands-on with Python, Kubernetes, AWS, Azure, Microservices. Relevant technical qualification and demonstrated shipping experience and 0-2 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, Kubernetes, AWS, Azure, Microservices. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Eli Lilly? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, Kubernetes, AWS, Azure, Microservices. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Product Manager – Enterprise AI Operations & Observability interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Kubernetes, AWS, Azure, Microservices, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Eli Lilly research, (5) Clear communication. ? What is the work culture like at Eli Lilly? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Eli Lilly Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com