$180,000 – $225,000
Listed on AlphaSense’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead the strategy and technical evolution of Salesforce as the core business system for a major AI-driven intelligence platform, building and scaling a team of Salesforce engineers while establishing modern development practices and governance standards. This role suits experienced enterprise technology leaders with deep Salesforce expertise who can balance business agility with architectural rigor across a growing organization.
Our summary, not AlphaSense’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 10+ years enterprise technology, systems engineering, or platform engineering experience with significant Salesforce ecosystem background
- 5+ years leading Salesforce engineering, architecture, or administration teams
- Proven ability to build and scale high-performing teams and improve engineering quality
- Strong knowledge of Salesforce across architecture, development, integrations, data, security, and automation
- Experience establishing modern Salesforce development practices including source control, CI/CD, testing, and environment management
- Strong architectural judgment balancing business needs with scalability, reliability, security, and technical debt
- Experience setting technology strategy and roadmaps across complex business processes
- Track record of adopting AI to improve engineering, development, operations, or team productivity
- Strong communication and collaboration across technical and business stakeholders
- Pragmatic leadership style with high ownership and bias toward action
Nice to have
- Experience leading Salesforce transformation in high-growth or scaling organizations
- Experience in pre-IPO environment with evolving SOX and compliance requirements
- Experience leading teams through M&A, major platform consolidation, or organizational transformation
- Experience integrating Salesforce with modern data, AI, and enterprise technology ecosystems