Lead digital and AI strategy workstreams, build business cases, guide solution selection, manage client engagements, and prototype AI solutions for Canadian clients from the MNP Spark office in Bangalore.
Responsibilities
Lead digital and AI strategy workstreams
Build business cases and executive narratives
Guide solution selection and vendor evaluation
Manage client engagements and workstreams
Prototype AI solutions using Copilot and LLM platforms
Requirements
Bachelor’s degree in Engineering (B.E./B.Tech) or Business (BBA/B.Com)
Consultant in Digital Advisory working with Canadian clients to develop digital and AI strategy, build prototypes, and deliver transformation solutions.
Responsibilities
Support digital and AI strategy engagements
Prepare and co‑facilitate discovery sessions
Contribute analysis and draft content to strategic roadmaps
Carry out process mapping and change impact analysis
Build business case models and ROI analyses
Requirements
Bachelor’s degree in Engineering (B.E./B.Tech) or Business (BBA/B.Com)
Lead AI-driven marketing initiatives, transformation, and corporate-field alignment to drive business impact.
Locations (3)
Redmond, Washington, United States
San Francisco, California, United States
New York City, New York, United States
Compensation
Product Marketing IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Responsibilities
Partner with corporate and field marketing teams to understand business priorities, customer needs, workflow challenges, and opportunities for improvement.
Turn ambiguous challenges into clear priorities, practical initiatives, and measurable outcomes.
Product manager who prototypes AI solutions and translates complex asset management challenges into scalable, reusable products, focusing on Maintenance Schedule Optimization.
Responsibilities
Define the vision, scope, and priorities for Maintenance Schedule Optimization templates combining agentic AI, intelligent automation, and advanced optimization.
Build prototypes using generative AI and low-code tools to validate maintenance schedule concepts, planning scenarios, and agentic workflows with customers early.
Identify recurring customer challenges and translate them into business workflows, decision criteria, and enterprise data requirements.
Set measurable success criteria with customers — such as planning effort, schedule adherence, or asset availability — and use feedback and usage data to improve reusability.
Partner with product, platform, AI, and delivery teams to turn emerging AI capabilities into enterprise-ready templates and reusables.
Requirements
Nice to have: asset management
Nice to have: asset-intensive industries experience
The Product Manager or Senior Product Manager willown growth, focusing on the experiences that turn awareness of Carrum into members who start and finish an episode of care. This involves bringing consumer-tech craft to marketing experiences, landing pages, and conversion funnels.
Locations (3)
Chicago, Illinois, United States
San Francisco, California, United States
United States
Compensation
The salary range for this role is $175,000 - $210,000 depending on geography and level of experience, plus equity and an annual bonus.
Responsibilities
Own the growth funnel end to end: map, instrument, and improve every stage from first touch to a confirmed episode.
Set the north-star and stage metrics, and be accountable for moving them.
Build marketing experiences that convert: landing pages, campaign destinations, eligibility check and sign-up flows, and the employer demo and savings-analysis paths.