Partner Solutions Engineering Senior Manager

About the role

We're seeking a Senior Lead, Partner Solutions Engineering to drive strategic partnerships and technology strategy for our most important alliances. This role involves defining integration strategies, shaping joint technical roadmaps, architecting co-innovation initiatives, and serving as the technical lead across key partnerships.

Responsibilities

• Define joint technical vision, integration architectures, and multi-year co-innovation roadmaps that align partner investments with Salesforce's product strategy.
• Lead the technical execution of strategic partnerships by collaborating with Product, Engineering, Business Development, and Go-to-Market teams to deliver differentiated customer experiences.
• Architect scalable technical solutions that accelerate interoperability, co-innovation, and customer adoption.
• Advise strategic partners on product strategy, technical architecture, and integration approaches to accelerate innovation and platform adoption.
• Represent Salesforce as the senior technical lead in executive partner engagements, engineering workshops, architecture reviews, and technical design discussions.
• Develop reusable frameworks, reference architectures, prototypes, and best practices that enable scalable partner integrations across the ecosystem.
• Identify emerging technologies, ecosystem trends, and capability gaps to shape partnership strategy, influence product roadmaps, and unlock new co-innovation opportunities.
• Influence senior technical, product, and business leaders across Salesforce and partner organizations to align roadmaps, resolve complex technical challenges, and drive successful outcomes.

Requirements

• 7-10 years in solutions engineering, enterprise architecture, technical partnerships, or a closely related technical discipline.
• Deep understanding of the AI and cloud ecosystem, including major hyperscalers, AI platforms, enterprise integration patterns, and evolving market dynamics.
• Hands-on experience with cloud infrastructure (AWS, Google Cloud, Azure), APIs, MCP and agent interoperability, event-driven architectures, and enterprise data platforms.
• Strong architectural thinking with the ability to balance customer needs, technical constraints, and long-term platform strategy.
• Executive presence and exceptional communication skills with experience engaging senior technical and business stakeholders.
• Entrepreneurial mindset with the ability to thrive in ambiguity, independently drive initiatives, and create structure where none exists.
• Passion for emerging AI technologies with a demonstrated curiosity for new models, protocols, and developer ecosystems.

Preferred Qualifications

• Experience working with or alongside hyperscalers, AI model providers, or leading enterprise software platforms.
• Background in partner engineering, solutions architecture, technical product management, or technical pre-sales.
• Experience designing AI platform integrations or driving adoption of cloud and AI services through technical partnerships.
• Familiarity with agent ecosystems, interoperability standards (such as MCP), enterprise data governance, and modern AI application architectures.