Top Tech Jobs & Startup Jobs in Mumbai

Leads technical integration projects by gathering business requirements, translating them into product and engineering deliverables, prioritizing features, and coordinating sprint execution. Manages timelines, quality, risks, dependencies, and delivery visibility across engineering, product, and business teams. Requires knowledge of data platforms, ETL, streaming, databases, cloud technologies, automation, AI, and workflow orchestration, along with strong communication, leadership, and delegation skills.

Leads Fynd’s inside sales team for the Commerce India business, driving revenue growth, customer acquisition, pipeline generation, conversion, and productivity. Responsibilities include developing sales strategies, managing performance metrics and forecasts, building customer relationships, improving funnel efficiency, collaborating cross-functionally, and supporting sales hiring, onboarding, training, and development. The role requires strong CRM discipline, consultative B2B or enterprise selling experience, and knowledge of ecommerce, retail technology, and supply chain markets.

Design and operate scalable Python backend services, APIs, data models, asynchronous workflows, and event-driven systems. Integrate agentic AI capabilities into product features, improve observability and production reliability, optimize performance, and support incident response. Collaborate with product and engineering teams to deliver resilient solutions across containerized and cloud-native environments.

Manage end-to-end PIM proof-of-concept and implementation initiatives, coordinating business, technology, and operations teams. Track milestones, risks, dependencies, and issues; gather requirements; document workflows; support PIM-as-a-service delivery; oversee service management, onboarding, and support; monitor outcomes; and recommend process improvements.

Develop, train, evaluate, and deploy machine learning and deep learning models using PyTorch. Collaborate with engineering and data teams, preprocess data, write production-grade Python, monitor deployed models, analyze performance, troubleshoot issues, document experiments, and apply current ML best practices. The role may also involve cloud platforms, containerized deployment, MLOps, GPU optimization, NLP, computer vision, or recommendation systems.

Build and operate AI-native security controls across CI/CD, cloud, Kubernetes, detection, vulnerability management, application security, privacy, resilience, and compliance. Develop agentic security systems with bounded LLM use, automate threat modeling and privacy controls, secure software supply chains, engineer detection and response pipelines, and validate disaster recovery and chaos scenarios. The role requires production-quality tooling, hands-on GCP and Kubernetes security, infrastructure automation, and participation in security on-call operations.

Develop and maintain Android applications for rider and delivery operations. Build production features using Kotlin, integrate APIs, maps, location tracking, notifications, and offline workflows, and improve application performance. Own features through development, testing, Play Store releases, and production support. The role requires experience with modern Android architecture, Jetpack Compose, asynchronous programming, local storage, data synchronization, and mobile testing.

Design, develop, test, deploy, and maintain scalable Python backend services and RESTful APIs using Flask and/or Django. Collaborate with product and engineering teams to translate requirements into technical solutions, participate in code reviews, troubleshoot issues, optimize performance, and ensure application reliability, security, and scalability. Work with databases, integrations, internal services, and development tooling while contributing to engineering best practices and continuous improvement.

Define and execute product growth strategies across acquisition, activation, engagement, retention, and monetization. Identify opportunities through data and customer insights, prioritize experiments and roadmap initiatives, collaborate with engineering, design, analytics, and business teams, and measure results through A/B testing, dashboards, and product metrics.

Build and operate scalable web applications and cloud infrastructure. Automate operational processes, develop scripts, manage self-hosted Kubernetes clusters across multiple clouds, maintain CI/CD pipelines, troubleshoot production systems, and ensure cloud and Kubernetes security. The role requires GCP, containerization, infrastructure as code, monitoring, logging, messaging, and programming experience, with AI tools used to accelerate development, testing, debugging, and documentation.