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Senior Technology Business Development Manager
Salesforce. Own the technical strategy for a portfolio of Salesforce’s most strategic technology partnerships .
Posted 9/15/2026full-timeSan Francisco • California • United StatesSenior💰 $172,500 - $285,800 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining technical strategies and architectures for cloud and AI integrations, with a strong focus on partnership development and execution. Possesses exceptional communication skills to engage with senior stakeholders and drive complex initiatives across organizations.
Highest-signal resume keywords
Solutions EngineeringEnterprise ArchitectureCloud Infrastructure (AWS, Google Cloud, Azure)AI and Cloud Ecosystem KnowledgeTechnical Partnerships
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Integration ArchitectureEvent-Driven ArchitecturesEnterprise Data PlatformsTechnical FrameworksAI Platform Integrations
Soft Skills
Exceptional Communication SkillsEntrepreneurial MindsetExecutive Presence
Tools & Technologies
Salesforce PlatformPartner APIsMCPAgentforceData Cloud
Industry Keywords
Technical PartnershipsEnterprise SoftwareAI TechnologiesInteroperability StandardsData Governance
Tech Stack
Tools & technologiesAWSAzureCloud
About the role
Key responsibilities & impact- Own the technical strategy for a portfolio of Salesforce’s most strategic technology partnerships
- Define joint technical vision, integration architecture, and multi-year co-innovation roadmaps with strategic partners
- Translate partnership strategy into technical execution with Product, Engineering, and GTM teams
- Deliver differentiated integrations and customer experiences
- Drive architecture for AI, data, and cloud integrations spanning Agentforce, Data Cloud, Salesforce Platform, partner APIs, models, and cloud infrastructure
- Identify emerging technical opportunities, capability gaps, and ecosystem trends to influence partnership strategy and product investments
- Represent Salesforce technically in executive partner engagements, joint engineering sessions, and technical design reviews
- Develop repeatable technical frameworks, reference architectures, and best practices
- Influence senior technical and product leaders internally and externally to align roadmaps and unblock complex cross-company initiatives
- Advise Business Development and Partner Management on partnership strategy through technical expertise
Requirements
What you’ll need- 7-10 years in solutions engineering, enterprise architecture, technical partnerships, or a closely related technical discipline
- Demonstrated track record of building and scaling technical solutions in enterprise software, cloud, or AI
- 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
- Experience working with or alongside hyperscalers, AI model providers, or leading enterprise software platforms preferred
- Background in partner engineering, solutions architecture, technical product management, or technical pre-sales preferred
- Experience designing AI platform integrations or driving adoption of cloud and AI services through technical partnerships preferred
- Familiarity with agent ecosystems, interoperability standards such as MCP, enterprise data governance, and modern AI application architectures preferred
Benefits
Comp & perks- Time off programs
- Medical insurance
- Dental insurance
- Vision insurance
- Mental health support
- Paid parental leave
- Life insurance
- Disability insurance
- 401(k)
- Employee stock purchasing program
- Incentive compensation may be available for certain roles
- Equity may be available for certain roles
- Reasonable accommodation during the application or recruiting process