[Hiring] Senior Director, Revenue Systems @AlphaSense

Role Description

We are looking for a Senior Director, Revenue Systems to lead the strategy, architecture, engineering, and evolution of Salesforce and our broader revenue systems ecosystem. You will build and develop a high-performing team of Salesforce engineers, architects, administrators, and technical professionals while establishing the engineering practices and technical standards required to scale the function.

• Own the long-term strategy and architecture of Salesforce, balancing evolving business needs with scalability, reliability, security, and maintainability.
• Bring technical credibility to challenge solution designs, navigate complex tradeoffs, and guide architectural decisions.
• Shape how Revenue Systems operates and build the technology foundation that enables our go-to-market organization to scale.

Qualifications

• 10+ years of experience in enterprise technology, systems engineering, platform engineering, or a related technical discipline, with significant experience in the Salesforce ecosystem.
• 5+ years leading Salesforce engineering, architecture, or administration teams, with a track record of hiring, developing, and retaining strong technical talent.
• Proven ability to build and scale high performing teams and raise the bar on engineering quality, ownership, and delivery.
• Strong Salesforce platform knowledge across architecture, development, integrations, data, security, and automation.
• Experience establishing modern Salesforce development and release practices, including source control, CI/CD, automated testing, and environment management.
• Strong architectural judgment and the ability to balance business priorities with scalability, reliability, security, technical debt, and long term maintainability.
• Experience setting technology strategy and roadmaps across complex, cross functional business processes.
• A demonstrated track record of adopting AI to improve engineering, development, operations, or team productivity.
• Strong communication and collaboration skills, with the ability to work effectively with technical teams, business leaders, and executive stakeholders.
• A pragmatic, high ownership leadership style with a bias toward action, continuous improvement, and measurable outcomes.

Requirements

• Build and lead a high performing engineering organization.
• Lead, develop, and grow a high performing team of Salesforce engineers, architects, administrators, and technical professionals.
• Set a high bar for technical judgment, engineering quality, delivery, and operational excellence.
• Build a culture of ownership, continuous improvement, and speed while maintaining the discipline required to operate critical business infrastructure.
• Establish modern engineering and release practices, including source control, CI/CD, automated testing, environment management, and reliable deployment processes.
• Improve how the team plans, builds, releases, and supports the platform, using meaningful metrics to drive quality, reliability, and delivery.
• Establish standards for development, documentation, observability, and operational support.
• Own the long term strategy, architecture, roadmap, and health of Salesforce and the broader revenue systems ecosystem.
• Define how the platform should evolve as AlphaSense scales, balancing business needs with scalability, reliability, security, data quality, and technical debt.
• Establish clear priorities and partner with leadership to shape and communicate strategy, tradeoffs, capacity, risks, and investment needs across the business.
• Serve as a senior technical leader and escalation point for complex platform, architecture, integration, and engineering challenges.
• Review and challenge solution designs and partner with architects and engineers on major technical decisions.
• Establish the governance, controls, and operating discipline required for Salesforce to serve as a trusted system of record.
• Lead the adoption of AI across Revenue Systems and Salesforce development.
• Scale practical AI use cases across development, testing, documentation, troubleshooting, administration, and team productivity.

Benefits

• Base Compensation Range: $180,000 — $225,000 USD.
• Performance-based bonus.
• Equity.
• A generous benefits program.