Engineering Manager

Job Summary

The Engineering Manager leads the team that builds CoreVest’s lending technology — both Salesforce solutions and custom full-stack applications across origination, underwriting, pricing, and servicing. This is a player-coach role: approximately 80% hands-on engineering leadership (architecture, design, code, and technical decisions) and 20% product (shaping what gets built and owning the technical roadmap alongside the Business Product Owner). The role manages a growing team and sets the engineering bar, and runs an AI-native delivery model built for hypergrowth in a regulated lending business.

Essential Functions and Responsibilities: Include the following but not limited to; other duties may be assigned.

Engineering Leadership & Architecture

• Own system architecture and design across the Salesforce platform and custom-built solutions; make and defend build-vs-configure and integration trade-offs.
• Set and enforce the engineering bar — code quality, performance, security, testability — at a level that holds up under Salesforce platform limits (governor limits, async and transaction boundaries, sharing and scale behavior, metadata and deployment discipline) and across custom services and integrations.
• Stay hands-on: review designs and code, unblock the hardest technical problems, and ship alongside the team.
• Own delivery execution — estimates, technical commitments, release quality, and ongoing reduction of technical debt and resiliency risk.

Product Partnership 

• Translate prioritized business outcomes into a technical roadmap and architecture, and push back with informed trade-offs rather than simply taking orders.
• Shape scope and sequencing so the roadmap is genuinely buildable and value lands fast.

Team Leadership & Talent Growth

• Manage a team , consisting of employees and contractors: set expectations, run the delivery cadence, and hold quality and accountability across a fluid roster.
• Mentor engineers, raise the bar, and turn a contractor-heavy team into a dependable, high-performing delivery engine.

AI-Native Delivery (the Hypergrowth Lever)

• Drive an AI-first build model — AI-assisted coding, code review, test generation, and documentation — to deliver materially faster.
• Continuously identify where AI changes how the team should work, and pivot tooling, workflow, and staffing accordingly.
• Upskill the whole team (contractors included) on AI tooling so speed gains are team-wide, not individual.

Minimum Requirements

• Bachelor’s degree in computer science, information systems, or related field, or equivalent relevant work experience.
• 10+ years building enterprise software; 4+ years leading engineering teams, including distributed and contractor teams.
• Salesforce platform expertise — not just configuration, but internals: Apex at scale, governor limits, async patterns (Batch/Queueable/Platform Events), the sharing and security model, integration patterns, and deployment/DevOps discipline. 
• Strong custom full-stack engineering — able to architect and lead non-Salesforce services, APIs, and integrations.
• Deep financial-services / lending domain knowledge; understands the loan lifecycle and regulated-environment constraints.
• Proven system architecture and design leadership across multiple solution types.
• Demonstrated talent management and growth in a fast-moving environment.
• Hands-on use of AI to accelerate software delivery, with a track record of changing how a team works to capture that speed.
• Hypergrowth mindset: thrives in ambiguity and speed while maintaining quality and governance.

Preferred Qualifications

• Experience with Loan Origination Systems (LOS), pricing engines, or underwriting engines; lending products such as DSCR, bridge, fix-and-flip, and build-for-rent.
• Experience modernizing legacy lending platforms or building greenfield fintech systems.
• Strong understanding of credit risk, pricing models, and capital markets implications.
• Experience scaling delivery in regulated, high-growth environments.

What Success Looks Like

• Salesforce and custom solutions ship faster and cleaner, with architecture that holds up at scale and under platform limits.
• A mostly-contractor team operates like a high-performing product team — predictable, accountable, and quality-focused.
• AI is embedded in how the team builds, with measurable delivery-speed gains.
• The Business Product Owner has a true technical partner: trade-offs are honest, the roadmap is buildable, and value lands.