Responsibilities

• Work with Imogen to modernize production legacy systems in collaboration with customers and partners
• Own and manage backlogs for highly technical modernization efforts, including acceptance criteria and testing approaches
• Balance long-term success with incremental progress through learning, risk mitigation, and iterative delivery
• Provide clarity on tradeoffs between customer needs, team capacity, technical constraints, performance, and security
• Facilitate effective decision-making across engineering, product, platform, and partner teams
• Communicate clearly with internal leadership and client stakeholders on progress, risks, and milestones
• Establish and maintain strong customer and partner relationships with alignment on priorities and outcomes
• Shape delivery scope, sequencing, and success criteria to maximize long-term leverage through partner enablement and partner-led execution
• Define and evolve Imogen usage patterns and delivery approaches that enable partners to deliver effectively with decreasing MO involvement over time
• Serve as a bridge between Delivery and R&D by gathering requirements and driving priority alignment

Considerations

• This role is client-facing and partner-facing; communication, facilitation and collaboration are core parts of the work
• This role includes regular domestic travel to client sites, up to approximately twice per month, to support delivery, alignment, and key milestones
• Much of the work involves legacy mainframe systems (e.g., COBOL, JCL)
• PMs sometimes help manage on-call escalation and delivery coordination
• Collaboration across time zones is part of the role, particularly with partners based in the US and India

Ideal Candidate

• Experience working in client-facing, delivery-oriented environments motivated by owning outcomes in complex, technical contexts
• Comfortable partnering closely with customers, SI partners, and delivery teams, navigating ambiguity, and balancing long-term strategy with the realities of execution, risk, and learning
• Strong stakeholder management skills and ability to communicate clearly and confidently with audiences ranging from engineers to executive leadership
• Curiosity about deeply technical systems and eagerness to build fluency in both the Imogen platform and the legacy environments it modernizes
• Enthusiasm about pragmatic, thoughtful use of AI and LLM-based tools with interest in defining effective patterns for their use in real-world delivery
• Enjoys working closely with engineers and R&D teams to translate field learnings into product insights and bring clarity and focus to ambiguous and high stakes work