Technical Project Manager / Delivery Lead

Job Description

Job Description: Technical Project Manager / Delivery Lead Location: Pune Experience Required: 5+ years Employment Type: Full-Time Education: BTech / MTech / MSc in Computer Science, Engineering, or a related field About Anervea.ai Anervea.ai is an AI-native pharma intelligence company building products that drive high-impact decisions for global pharmaceutical teams. Our platform powers competitive intelligence, clinical trial prediction, AI-powered field enablement, and digital HCP engagement—used by commercial, clinical, and medical affairs teams across the US and EU. We are building fast, solving real-world problems, and scaling globally with a lean, deeply technical team. We’re looking for a Delivery Lead who can operate at the intersection of engineering, product, and execution —with a solid understanding of system design and the ability to guide technical choices. Role Overview As the Technical Project Manager / Delivery Lead , you’ll take full ownership of engineering execution across our product pods and client deliverables. You’ll lead sprints, manage cross-functional collaboration, and most importantly, act as the technical system architect for early-stage product decisions and delivery success. You’ll be the bridge between ideas and execution—balancing sprint velocity, product quality, and platform scalability. Key Responsibilities Own project planning, sprint execution, and backlog prioritization across 4–5 product pods Lead daily standups, retrospectives, and sprint reviews for engineering + AI teams Translate product and business requirements into structured technical tasks Review architecture plans and ensure systems are modular, scalable, and maintainable Collaborate with the Head of Engineering to validate system design decisions Troubleshoot project delays or bottlenecks and realign sprint workflows Maintain Jira/ClickUp/Notion boards with task breakdowns, dependencies, and blockers Interface with commercial and product leadership to align delivery timelines with client expectations Ensure code quality, documentation, and deployment discipline across pods Create visibility through weekly status reports, burn-down charts, and roadmap alignment Technical Skills & System Design Experience Strong foundation in system design and understanding of scalable backend architectures Familiarity with microservices , API-first architectures, and LLM/AI pipelines Experience with CI/CD, cloud deployment workflows (preferably AWS), and Dockerized environments Ability to review and guide architecture decisions made by backend and AI teams Experience managing teams working with: Python (FastAPI/Flask) React/Next.js ML models, LLM agents, vector databases (Pinecone/FAISS) Redis, PostgreSQL, MongoDB Bonus: Past hands-on coding or architectural design in an AI/ML or SaaS environment Personal Attributes Strong systems thinker with architectural intuition High accountability—you take ownership of outcomes, not just task tracking Proactive communicator with strong cross-functional coordination skills Structured, process-driven, but adaptive when required Calm under pressure and solutions-oriented in dynamic environments Able to influence engineers and product teams through clarity and logic—not hierarchy Comfortable managing complexity across multiple teams and clients simultaneously Why This Role Matters You’ll drive the execution engine behind some of the most innovative AI products in life sciences today. From clinical trial prediction tools to autonomous HCP research agents, our work is only as good as its delivery—and that’s your domain. This role is ideal for someone who wants to move beyond conventional project management into a more technical, architecture-aware delivery leadership role . Show more Show less