Engineering Manager (B2B SaaS)

StoreForce is deeply passionate about Specialty Retail – it’s in our roots and part of every single line of code we write. We’re known to say we’re Retailers first, and a technology vendor second. Every day, we strive to help Specialty Retailers set a new standard for operational excellence.

At StoreForce, we bring together innovation and solid engineering expertise to create modern, scalable, and high-performing solutions. Our team values clean architecture, efficient development practices, and a collaborative, international environment where everyone has a real impact.

We are now looking for an Engineering Manager based in Poland!

OVERVIEW

Reporting to the VP of Engineering and Delivery, the Engineering Manager will lead and manage software engineers on specifically assigned domain team(s).

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 organization's 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

Bachelor's degree in Computer Science, Software Engineering, or related field (Master's 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

StoreForce is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing emp