Reporting to the VP of Engineering and Delivery, the Engineering Manager will lead and manage all engineers on our Task team and Communications & Engagement teams.

As a senior technical leader, you will be accountable for the delivery of releases and hotfixes for our StoreForce SaaS application, ensuring engineering excellence through hands‑on code reviews and enforcement of coding standards. A critical aspect of this role is driving significant developer productivity gains through AI‑powered coding tools, championing our strategic initiative to achieve 60% productivity improvements by leveraging AI and fundamentally rethinking how we develop software.

RESPONSIBILITIES

1. Technical Leadership & Engineering Excellence

• Lead engineering resources, providing hands‑on technical guidance and direction.
• Conduct thorough code reviews ensuring adherence to engineering standards, best practices, and architectural guidelines.
• Enforce engineering standards including unit test coverage, code quality metrics, documentation, and coding conventions.
• Mentor senior engineers and technical leads, fostering technical excellence throughout the organization.
• Participate in technical design discussions, providing expert guidance on approach, architecture, and implementation.
• Champion continuous improvement in engineering practices, tools, and processes.

2. AI‑Driven Productivity & Developer Performance

• Drive adoption of AI‑powered coding tools across engineering teams to achieve 60% productivity gains.
• Serve as the organizations champion and expert for AI coding technologies with hands‑on proficiency.
• Lead the transformation of development practices, rethinking traditional approaches to leverage AI capabilities.
• Provide training, mentorship, and best practices on maximizing AI coding assistants.
• Leverage JellyFish analytics to measure, track, and optimize team productivity, AI adoption rates, and efficiency gains.
• Use JellyFish data to identify bottlenecks, set improvement targets, and demonstrate ROI from AI investments.
• Stay ahead of the AI coding landscape, evaluating new tools and techniques for adoption.

3. Delivery Management & Accountability

• Take full accountability for delivery of all StoreForce SaaS application releases and hotfixes.
• Collaborate with project manager, own the end‑to‑end delivery process, ensuring releases meet quality, timeline, and stakeholder requirements.
• Collaborate with project manager, manage release planning, scheduling, and coordination across distributed teams.
• Provide accurate insights into workload, effort estimation, and delivery timelines.
• Proactively identify and mitigate risks impacting delivery schedules or quality.
• Collaborate with project manager and devops, manage hotfix prioritization and deployment, ensuring rapid response to critical production issues.

4. Team Leadership & People Management

• Provide mentorship and support, fostering a positive and collaborative work environment.
• Set clear objectives, monitor progress, and conduct regular performance evaluations.
• Recruit top technical talent with aptitude and enthusiasm for AI‑assisted development.
• Identify training needs particularly AI coding tools and technical skill development.
• Build and maintain a high‑performing, cohesive team culture across geographic boundaries.

5. SDLC Management & Quality

• Own the SDLC process, ensuring effective management and continuous improvement
• Implement and enforce software development best practices: coding standards, mandatory code reviews, unit testing requirements, test coverage targets, documentation standards, and version control strategies.
• Ensure comprehensive unit test coverage across all code changes.
• Drive initiatives to address technical debt and improve system maintainability.
• Maintain and secure code repositories, managing version control processes effectively.

6. Collaboration & Issue Resolution

• Foster strong working relationships with Systems Architect, DevOps Manager(s), and cross‑functional teams (QA, Product, Deployment).
• Provide regular updates to VP of Engineering and Delivery on delivery status, risks, and team performance.
• Demonstrate urgency in resolving critical production issues per service level agreements.
• Lead post‑mortem analysis of significant issues, implementing preventive measures.

QUALIFICATIONS

Competencies Required:

• Technical Leadership - Recognized technical expert who leads by example with meaningful code reviews and constructive guidance
• AI Advocacy - Passionate evangelist for AI‑assisted development with vision to transform software development approaches
• Leadership - Motivational and supportive role model who fosters cooperation and collaboration
• Accountability - Takes ownership of delivery outcomes and follows through on commitments
• Communication - Excellent oral and written skills, able to adapt to technical and non‑technical audiences
• Problem Solving - Distinguishes between symptoms and causes; identifies root issues and generates solutions

EXPERIENCE / KNOWLEDGE

• Bachelors degree in Computer Science, Software Engineering, or related field (Masters a plus)
• 8-10 years software development experience with 5+ years in technical leadership or management roles
• Hands‑on experience with AI‑powered coding tools (GitHub Copilot, Cursor, Amazon CodeWhisperer, etc.) with demonstrated productivity gains
• Proven track record driving AI adoption across engineering teams and evangelizing new practices
• Experience with engineering productivity platforms such as JellyFish or similar analytics tools
• Strong hands‑on experience with Microsoft technologies: .NET, ASP.NET, .NET Core, Azure, SQL Server
• Proven track record leading distributed teams across multiple locations and time zones
• Experience conducting code reviews and establishing engineering standards in production environments
• Deep understanding of software testing practices including unit testing and test automation
• Experience managing evolution of monolithic architectures and addressing technical debt
• Proven success delivering SaaS software releases in retail software or similar domains
• Strong experience with DevOps practices and Microsoft DevOps tools (Azure DevOps, GitHub Actions)
• Experience managing remote and distributed teams is essential

Key Performance Indicators (KPIs)

• Delivery Excellence - On‑time delivery of releases and hotfixes with minimal defects
• Developer Productivity - Measured improvement in productivity metrics via JellyFish (cycle time, throughput, velocity)
• AI Adoption & Impact - AI tool adoption rates, measured productivity gains (targeting 60%), AI usage metrics
• Code Quality - Code review completion, unit test coverage, code quality scores, technical debt reduction
• Release Stability - Post‑release defect rates, hotfix frequency, production incident reduction
• Team Performance - Productivity, velocity trends, employee satisfaction, retention rates
• Process Improvement - DevOps adoption, SDLC improvements, automation metrics