Top Program Manager Jobs in Bengaluru

Own end-to-end delivery for enterprise AI deployments: lead solutions engineers, manage project plans, finances, risks, and stakeholder communication; ensure go-live readiness, customer value realization, and continuous improvement across programmes.

The Program Manager for Data Operations will manage data ecosystems for AI models, guide experts, and optimize workflows in reinforcement learning projects.

Manage programs within Revenue Strategy & Operations, improve GTM efficiency, drive AI adoption, and coordinate cross-functional teams to enhance revenue performance.

Serve in the Founder's Office to drive technical program management across Engineering, Product & Design (run Agile ceremonies, roadmap tracking, and dependency management). Own GRC and audit programs (SOC 2, ISO 27001, GDPR), control design and cross-framework mapping, manage security reviews and trust documentation for enterprise customers, and build operating cadence and tooling for delivery and continuous compliance.

Oversee software engineering projects, ensuring alignment with strategic goals, managing resources, risks, and quality control, while maintaining stakeholder communication.

The Program Manager will manage customer-related activities, ensure project success, track customer metrics, and enhance processes.

Lead cross-functional hardware-software teams to plan and deliver integrated products. Manage sprints, timelines, risks, budgets, documentation, and stakeholder communication across the program lifecycle.

Lead and manage the digital release lifecycle for web and marketing initiatives. Coordinate content, SEO, development, QA, analytics tracking (GA4/GTM), and paid media to ensure timely, error-free launches. Maintain release calendars, run pre- and post-release QA and retrospectives, monitor site performance and KPIs, and standardize SOPs to improve processes and stakeholder alignment.

Lead and manage R&D programs from lab to scale-up, coordinate stakeholders, apply first-principles problem solving, ensure project delivery, and collaborate with scientists and engineers to develop specialty chemical products.

Lead cross-functional teams in the software development lifecycle for embedded software projects, employing agile methodologies and technical oversight.

Lead cross-functional technical programs for clinical AI in primary care, manage EHR integrations (Epic, Cerner, FHIR), drive AI model deployment and validation, run scrum-of-scrums across engineering pods, manage scope, risks, timelines and KPIs, ensure clinical safety and regulatory compliance, and communicate program status to executives and stakeholders.

Lead cross-functional technical programs from planning through delivery, enabling AI/ML initiatives, coordinating stakeholders (clients, sales, product, engineering, QA), optimizing processes and releases, managing documentation, and driving data-driven decisions to ensure timely, high-quality deployments and client success.

As a Technical Program Manager, you'll lead high-impact programs in AI-enabled healthcare, coordinating EHR integrations and AI model deployments to enhance clinical decision-making and patient outcomes.

Lead end-to-end New Product Introduction programs from concept and prototyping through pilot manufacturing. Coordinate cross-functional global teams, manage risks and milestones, ensure design transfer and manufacturing readiness, maintain program documentation and tracking, and drive continuous improvement in program practices.

As a Technical Program Manager, you'll lead Agile practices, manage complex projects, and ensure high-quality deliverables while coaching teams for high performance.

The Technical Program Manager will lead projects in a remote setup, focusing on program planning, agile facilitation, and delivery management across globally distributed teams, particularly in the fintech domain.

Manage end-to-end release cadences for open-source and managed cloud products, coordinate cross-functional teams, define go/no-go quality gates, build release automation and dashboards, identify and mitigate release risks, serve as central release contact, and run retrospectives to drive continuous improvement.

Drive platform adoption by coordinating engineering and application teams, tracking milestones, removing blockers, reporting status to leadership, creating dashboards, developing adoption strategies, enabling change management, and producing onboarding documentation and training to ensure successful platform integration.