Lead / Principal Product Manager – Agentic AI Products
Compensation
At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,700,000 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
Responsibilities
Define product vision, strategy, and roadmap for a major product area
Conduct customer discovery and design partner engagements to validate product direction
Translate customer problems into differentiated product capabilities and business value
Analyze market trends, competitors, and emerging AI technologies to inform product strategy
Partner closely with Engineering and UX to deliver high-quality products from concept through launch
Design, validate, and deploy VMware Kubernetes Service (VKS) solutions on VMware Cloud Foundation (VCF) for enterprise customers, leading technical discovery, workshops, and proof‑of‑concepts.
Responsibilities
Act as trusted advisor for enterprise customers
Collaborate with field account teams
Lead technical discovery sessions
Partner with sales to develop proposals
Provide prescriptive guidance on Kubernetes adoption
Requirements
Bachelor’s Degree in Computer Science, Engineering, Mathematics, or related field; or equivalent experience
Nice to have: certifications in cloud-native or public cloud technologies (AWS, Azure, GCP, Red Hat OpenShift)
A Head of Engineering to lead and scale our engineering organization, drive technical strategy, and take end-to-end ownership of engineering execution and production operations.
Responsibilities
Build, lead, and scale a high-performing engineering organization, including hiring, mentoring, and developing engineering leaders and teams.
Own end-to-end engineering execution, ensuring predictable delivery, technical excellence, and alignment with business priorities.
Take full ownership of production environments and operations, including DevOps, infrastructure, deployment, monitoring, observability, availability, performance, incident management, disaster recovery, and operational reliability.
Lead architectural and technical decisions, ensuring the platform is scalable, secure, reliable, and maintainable.
Define and drive engineering strategy, standards, best practices, and long-term technical direction.
Drive the technology vision, architecture, engineering standards and delivery strategy for the Corporate Internet Banking Platform
Provide technical leadership across all domains including Payments, Accounts, Entitlements, Notifications, Approvals, Dashboard and Shared Services
Lead architecture reviews, design reviews and code quality governance to ensure secure, scalable, resilient and maintainable solutions
Work closely with business stakeholders, product owners, architects and delivery teams to translate business requirements into scalable technology solutions
Provide technical leadership and mentorship to domain leads, architects, engineering managers and development teams throughout the SDLC
Requirements
Bachelor’s degree in computer science, Computer Engineering, Information Technology or equivalent discipline
Lead MGIC's software engineering, and digital delivery functions to ensure technology investments deliver measurable business outcomes, accelerate innovation, improve customer and employee experiences, and support long-term enterprise growth.
Compensation
$209,130.00 - $376,440.00
Responsibilities
Partner with the CIO and business executives to define and execute technology strategies
Translate business strategy into technology roadmaps, investment priorities, and product portfolios
Act as a trusted advisor to executive leadership regarding technology opportunities, risks, modernization strategies, architecture decisions, and emerging technologies
Lead enterprise-wide digital transformation initiatives and modernization efforts across customer-facing and internal platforms
Lead all software engineering teams responsible for the design, development, testing, deployment, support, and lifecycle management of MGIC applications and digital products
The IT Cloud Engineer – Engineering Platform Automation is responsible for designing, developing, operating, and continuously evolving Mayo Clinic's Engineering Front Door—a cloud-native digital platform that enables engineering self-service, cloud governance automation, AI-assisted guidance, reusable knowledge management, and workflow orchestration across the Hybrid Multi-Cloud ecosystem.
Responsibilities
Serve as the technical product owner for the Engineering Front Door platform.
Define and continuously improve the platform roadmap in partnership with the CCoE and Platform Engineering teams.
Design reusable platform capabilities that improve engineering productivity and customer experience.
Maintain platform reliability, performance, and operational excellence.
Design, develop, and support automated workflows for cloud engineering, governance, and platform engineering processes.
Director of Engineering for Kyriba's future Base Platform Infrastructure, responsible for setting strategic technical direction and leading engineering execution for foundational platforms including Kubernetes, networking, persistence, and middleware.
Responsibilities
Define and own the strategic technical direction of the base platform
Define and enforce engineering standards, best practices, and quality gates
Lead the design and implementation of core platform components (Kubernetes, network, storage)
Drive adoption of Infrastructure as Code (IaC) and GitOps
Own the reliability, performance, and security posture of the base platform
The AI Platform Engineering team builds, operates, and evolves Mastercard's enterprise AI platforms, providing scalable, secure, and reliable AI infrastructure to accelerate development and deployment of AI-powered solutions.
Shape the future of AI in Intellectual Property by setting the vision for the Data Science & AI organization and turning advances in machine learning, Generative AI, and Agentic AI into scalable products, smarter operations, and measurable business value.
Compensation
The expected base salary for this position is $240,000–$300,000 USD per year. This role is eligible for bonus earnings. Individual pay is based upon experience, education, skill and ability, expertise, and relevant factors.
Responsibilities
Define and execute the enterprise data science and AI vision, aligning investment and delivery with business strategy, product innovation, and long-term growth.
Differentiate our products, operations, and customer experiences through AI.
Create a multi-year roadmap for machine learning, Generative AI, Agentic AI, and advanced analytics adoption.
Lead the strategy, architecture, and implementation of Generative AI and Agentic AI solutions across the business.
Build scalable AI agents, copilots, assistants, reasoning systems, and workflow automation capabilities.
Provide security consulting and governance oversight for technology initiatives in a banking environment.
Locations (3)
Toronto, Ontario, Canada
Scarborough, Ontario, Canada
Mississauga, Ontario, Canada
Responsibilities
Provide security consulting and risk assessments for technology initiatives and projects
Review solution designs and provide risk-based security recommendations aligned with enterprise security standards
Develop and maintain security standards, technical requirements, STIGs, control mappings, and implementation guidance
Support governance and security reviews for cloud, hybrid, on-premises, containerized, B2B, and emerging technology environments
Assess and provide guidance on security controls for Kubernetes, cloud-native platforms, APIs, SaaS solutions, AI-enabled technologies, and partner connectivity solutions
New York City, New York: $168,000 - $277,000 USD; Arlington, Virginia: $161,000 - $266,000 USD; Atlanta, Georgia: $140,000 - $231,000 USD; Austin, Texas: $140,000 - $231,000 USD; Boston, Massachusetts: $161,000 - $266,000 USD; O'Fallon, Missouri: $140,000 - $231,000 USD; Purchase, New York: $161,000 - $266,000 USD
Responsibilities
Lead the design, development, and operation of enterprise platforms supporting machine learning, generative AI, agentic AI, and advanced analytics workloads.
Translate business, engineering, and operational requirements into scalable platform solutions and implementation approaches.
Design and maintain advanced AI and machine learning systems that meet enterprise requirements for security, reliability, availability, scalability, and performance.
Own technical delivery across public and private cloud environments, identifying dependencies, resolving complex challenges, and influencing cross-functional decisions.
Build and optimize services and workflows that simplify onboarding, development, deployment, operations, and lifecycle management for AI solutions.
Lead / Principal Product Manager – Agentic AI ProductsNewBMC Software · Bangalore, India
Lead AI Platform EngineerMastercard · New York City, US+6 more