Original job description
Clinical Solution Engineering ManagerOverview
At Greenspace, our mission is to empower mental health systems, providers, and individuals in care with the MBC technology and data they need to continuously enhance care quality.
We're looking for an Engineering Manager to lead and grow our Clinical Solution engineering team - a high-impact group building the tools that directly improve how mental health care is delivered across North America. This is a player-coach role: you'll lead through mentorship, process, and strategic clarity, while staying genuinely hands-on with the technical work alongside a team navigating the rapidly evolving AI-assisted development landscape.
The Role
You'll manage a lean team of engineers working on our Clinical Solution product, reporting directly to the Head of Engineering Operations. Your job is to help each individual do their best work - removing obstacles, raising the technical bar, and creating an environment where engineers grow and continuously ship meaningful product.
This isn't a purely managerial role. You'll be in the code: contributing to reviews, participating in design discussions, and leading by example. As AI-assisted development reshapes what individual and team productivity looks like, you'll help the team adopt and evaluate these tools - and model what it means to use them with strong engineering judgment.
What You'll Do
People & Leadership
Coach direct reports through regular 1:1s, clear expectations, and ongoing feedback - helping each person grow in their role and career.
Hire and onboard new engineers; facilitate performance reviews and career development conversations.
Build trust and clarity so the team can focus on doing their best work.
Facilitate knowledge sharing through code reviews, pairing, design discussions, and other forums.
Technical Contribution
Stay hands-on: contribute to code reviews, technical design and architecture, and write code regularly.
Help the team navigate AI-assisted development - evaluate tools, establish good practices, and model what it looks like to use AI effectively without compromising correctness, security, or maintainability.
Raise the bar on engineering quality: testing practices, code hygiene, CI/CD, observability, and scalability.
Contribute to building AI-powered product features where appropriate - LLM integrations, agentic flows, evaluation pipelines.
Delivery & Process
Own the team's delivery health: ensure we're continuously shipping high-quality product improvements in a CI/CD environment.
Collaborate closely with Product and Design as well as other product development teams to shape the roadmap, break down work, and deliver iteratively.
Maintain and evolve agile processes that help the team move fast without accumulating unnecessary debt by balancing short-term delivery with long-term technical health.
What You’ll Bring (Key Skills)
Engineering depth (8+ years): Strong full-stack development experience across frontend, backend, APIs, and data. Fluency in or ability to quickly ramp up in our stack: Python, JavaScript/TypeScript, Django, PostgreSQL, Redis, AWS.
Player-coach mindset: Comfortable moving between writing code and leading people - and knowing when each is needed. You lead by example, not just direction.
AI-assisted development: A practitioner's understanding of how GenAI tools (e.g., Claude, Copilot, Cursor) change engineering workflows - what they're great at, where they fall short, and how to build a team culture that uses them well.
Leadership: Experience hiring, coaching, and managing software engineers. Able to give direct, constructive feedback and build trust quickly.
System design: Proficiency in designing scalable, maintainable systems - databases, APIs, job queues, integrations, cloud infrastructure.
Engineering processes: Comfortable implementing and iterating on software delivery practices - CI/CD, code quality, testing, security, compliance, and reliability.
Communication: Strong written and verbal communicator; able to translate between technical and non-technical audiences and align across Product, Design, and Customer Success.
Growth mindset: Continuously learning and helping others do the same - especially in a landscape where the tools and best practices are evolving quickly.
Nice to Have
Experience in digital health, healthcare software, or other regulated/sensitive data environments.
Familiarity with healthcare compliance standards (e.g., HIPAA, SOC 2).
Experience building GenAI-powered product features end-to-end.
About Greenspace
Founded at St. Michael's Hospital in Toronto, Greenspace was created to bridge the gap between the proven benefits of measurement-based care in research and its implementation in practice. Our solutions empower organizations to use data to inform treatment decisions and significantly improve the quality of mental health care across North America.
Our product suite includes:
Measurement-Based Care Platform: Enables mental health providers to implement evidence-based measurement into their practice, using data to guide treatment decisions.
Intake Module: A flexible solution that streamlines referrals into mental health and addiction services, prioritizing care for those who need it most.
Population Health Module: A patient-facing wellness portal empowering individuals to track their progress and take ownership of their care.
Our Culture
As a startup, we offer significant responsibility and the opportunity to play a pivotal role in the growth of our solutions. We're driven by a passion for improving mental health care and the lives of millions of people. We foster a collaborative environment where all ideas are valued, regardless of where they come from. Learn more on our website.
Diversity
We believe that diversity makes our organization stronger and we are committed to being an equal opportunity employer. Greenspace recruits, employs, trains, compensates and promotes employees regardless of race, religion, colour, national origin, gender, age, sexual orientation, gender identity or disability.
Perks
Healthy work/life balance - building a startup is a marathon, not a sprint.
A tight-knit, collaborative work environment where we work in teams, not silos.
Flexible hybrid-remote environment with physical hubs in Vancouver, Kelowna, and Toronto.
Ongoing mentorship, coaching, and personal development opportunities from experienced team members and external resources.
Generous vacation and comprehensive benefits package, including paid parental leave.
