Quality Assurance Engineering Manager in Montague

SpryPoint is modernizing how utilities serve their communities. As a high-growth software company, we're shaking up the status quo in the utility industry with the first and only truly cloud-nature customer service and operations platform purpose-built for modern utilities.

Founded by industry veterans in 2011, we've grown from a profitable startup to a rapidly scaling company of 300+ employees serving 100+ utility clients across North America and the Caribbean. Our mission is simple: utility leaders should expect more from their technology providers.

We deliver comprehensive solutions including SpryCIS, SpryEngage, SpryMobile, and SpryWallet that modernize the entire meter-to-cash process. What sets us apart? Our "updates, not upgrades" approach, user-centric design, and unwavering focus on customer success.

Join our award-winning team in transforming an essential industry that powers communities across the Americas. We are standing up a dedicated QA automation function, and we're looking for a QA Engineering Manager to build and lead it from the ground up. This is a rare opportunity to shape a quality practice from scratch: you'll choose the tooling, set the standards, hire the team, and define how AI fits into how we test.

This is a hands-on, player-coach role. You'll split your time roughly 50/50 between leading the team and doing the work yourself: setting direction, hiring, and coaching on one side, and writing automated tests, building framework components, and reviewing code on the other.

In your first 90 days, you'll start with discovery: partnering with our Principal AI Engineer and AI team to understand existing AI tools and practices, and working with engineering teams to understand current QA practices and define how QA and engineering will collaborate going forward. In parallel, you'll confirm prerequisites (environments, CI/CD, critical user journeys), select your tooling and framework, and stand up a proof-of-concept suite on the highest-risk flows.

By the end of year one, you'll have delivered a working, trusted automation suite on critical flows, a small high-performing team, a quality metrics dashboard in active use, and a clear plan for AI adoption.

What You Will Do

• Define and own the quality engineering strategy and roadmap across our products
• Stay hands-on: personally write automated tests, build framework components, and review code alongside the team (roughly half your time)
• Select the test automation tooling and framework, and set the standards squads build on
• Integrate automated testing into our CI/CD pipelines and partner with DevOps on stable, repeatable deployments
• Define quality gates: what blocks a merge and what blocks a release, aligned with engineering leadership and risk
• Drive a risk-based approach to testing so effort goes where it protects clients most
• Push tests down the stack (API before UI), drive down the flaky-test rate, and enable squads so the practice doesn't depend on any one person
• Hire, coach, and grow a team of automation engineers, and raise testing discipline across product squads
• Own quality metrics and a dashboard that leadership trusts, providing objective signals for go/no-go release decisions
• Evaluate and adopt AI-assisted testing tools through a practical, hybrid model, while keeping a human-in-the-loop standard

What You Bring

• 7+ years in software quality or engineering, including 3+ years leading and growing engineers
• A track record of building or significantly maturing a test automation practice
• Current, hands-on coding ability: you can build framework components and write automated tests yourself
• Strong technical judgement on automation frameworks, CI/CD, and test architecture
• Fluency with modern automation tooling (Playwright, Cypress, Selenium) and CI/CD (GitHub Actions, Jenkins, GitLab CI)
• Experience defining quality metrics and using them to influence release decisions
• Clear communicator who can translate quality risk into terms leadership and product can act on
• Hands-on understanding of how AI is changing testing
• Familiarity with testing AI or LLM features

Nice to Have

• Familiarity with Claude and Claude Code
• Background as an SDET or automation engineer earlier in your career
• Experience introducing quality practices into an organization that did not have them before
• Experience in a regulated or high-reliability domain (utilities, fintech, healthcare or similar)

Our Hiring Process

• Stage 1: Recruiter Interview (45 minutes)
• Stage 2: Hiring Manager Interview (45 minutes)
• Stage 3: Technical Assignment
• Stage 4: Final Interviews (60 minutes)
• Stage 5: References and Offer

Expect More From Your Career at SpryPoint

• Work your way - Remote-first environment, flexible working hours across North America
• Competitive Total Rewards - Comprehensive compensation package that grows with you
• Total Wellness - Health, dental, vision, and life insurance from day one
• Recharge Time - Generous PTO and unlimited sick days
• Future Security - RRSP (Canada) and 401k (US) matching programs
• Continuous Growth - $2,500 annual development fund, tuition assistance, and Book Bounty program
• Team Connection - Annual company events and team offsites that bring us together

Equal Opportunity & Inclusion

SpryPoint is an equal-opportunity employer committed to creating an inclusive environment where everyone can thrive. We welcome applications from all qualified candidates regardless of race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable laws.