Salesforce Engineering Manager

What We’re Looking For:

2U’s Engineering team is seeking a Salesforce Engineering Manager in the UK. This is a hands-on role for a senior engineer who enjoys building at the architecture level as much as they enjoy leading a team. While you will manage a small team of 4–6 developers, your primary impact will be as the technical architect and individual contributor—driving our Salesforce roadmap, building Agentforce/AI-driven solutions, and ensuring code excellence. If you are a Lead Engineer looking to own complex platform strategies while mentoring a high-performing team, this is the role for you.

Exciting Ownership Project

In this role, the Engineering Manager will lead and take ownership of the "Agentforce AI" project, driving innovation and implementation across the organization.

Responsibilities Include, But Are Not Limited To:

Technical

• Architectural Ownership: Own the production environment and maintain a robust Salesforce architecture, ensuring scalability across Sales, Service, and Experience Clouds.
• Data Strategy & Orchestration: Lead the implementation and management of Salesforce Data Cloud, ensuring high-quality data ingestion, harmonization, and unification (Identity Resolution) to power downstream AI and analytics.
• AI & Agentic Workflows: Lead the strategy and deployment of Agentforce, building and managing autonomous agents that leverage Data Cloud insights to streamline business processes.
• Requirements Alignment: Collaborate with Product and Stakeholders to ensure CRM and Data strategies align with technical capabilities and long-term roadmap goals.
• SDLC & Data Governance: Accountable for the sprint lifecycle, ensuring best practices in Salesforce DevOps and strict adherence to data privacy and governance standards within the CRM.
• Quality & Integrity: Ensure code integrity (Apex, LWC) and declarative configuration quality, proactively seeking platform optimizations to reduce technical debt and data silos.

People Management

• Performance Leadership: Take hands-on responsibility for the CRM engineering team’s performance and output.
• Mentorship: Set S.M.A.R.T goals, providing specific guidance on Salesforce career paths and emerging AI technologies and Data Cloud.
• Talent Pipeline: Build and grow the team through recruitment and interviews, specifically looking for talent capable of navigating the shift toward agentic AI.
• Team Health: Prioritize employee morale, fostering an environment of continuous learning and high engagement.

Accountability for Results

• Strategic Execution: Collaborate on strategic requirements, translating high-level business needs into operational Salesforce execution plans.
• SME Leadership: Act as the CRM Subject Matter Expert, identifying potential platform bottlenecks and solving complex integration problems.
• Resource Allocation: Own sprint planning and resource allocation to ensure high-v