Lead technical delivery for the Product Implementation team, balancing speed and long-term technical health. Mentor developers, manage technical forums, enforce NFRs, quantify technical risks, support estimation and readiness processes, resolve inter-team dependencies, ensure DevOps self-sufficiency, and maintain accurate time tracking and compliance.
The Technical Manager will serve as the engineering anchor of the Product Implementation team. This role is essential in ensuring we solve complex problems through a reliable, transparent, and data-informed process through working closely with Technical and Delivery leads to ensure implementations are built with technical sophistication and rigour required for long-term scalability and maintenance. The technical manager will be critical in managing daily operations, guidance to achieve technical ownership, and fostering a culture of intellectual honesty
Responsibilities:
- Ensure a balance between implementation speed and long-term technical health by adhering to key Product principles (Value, Viability and Feasibility).
- Collaborate with Technical Leads to support the feasibility of all technical solutions, ensuring they are maintainable and aligned with architectural standards.
- Manage technical forums (Developer and Architecture) and ensure they are to support the feasibility of all technical solutions, ensuring they are maintainable and aligned with our architectural standards.
- Cultivate a team environment where technical trade-offs are discussed openly and evaluated with data, replacing convenience with engineering excellence.
- Guide developers through their progression from foundational task execution to intermediate technical ownership and advanced strategic leadership .
- Ensure regular feedback, mentorship, and coaching for Software Developers to ensure successful and effective solution delivery and professional growth and development.
- Participate in the standard high-level estimation process, moving from single-point guesses to risk-adjusted forecasting.
- Systematically qualify technical confidence and quantify its impact by identifying risks, assumptions, and dependencies for every Epic.
- Guide technical readiness by holding developers accountable to the timebox and expected outcomes of technical spikes defined during the Readiness Sprint.
- Enforce the proactive handling of Non-Functional Requirements (NFRs), such as complexity and latency, treating them as non-negotiable constraints for every implementation.
- Guide the technical breakouts during the Planning Summit and hold teams accountable for achieving a high-confidence level in their 12-week commitments.
- Participate in the Scrum of Scrums (SoS) and help resolve inter-team dependencies and manage program-level risks.
- Empower the team to resolve pipeline or environment hurdles internally, fostering a culture of DevOps self-sufficiency.
- Assume ultimate accountability for the technical health of departmental commitments and the accurate reporting of billable hours within the project management tools.
- Accountable for ensuring that all working hours are accurately reported in Time Tracking System on a daily or weekly basis, that the majority of (if not all) hours are tracked as billable and that the project management tool in the time tracking system is properly and fully utilized.
- Tracking and reporting of billable hours is a critical aspect of project management and delivery to our customers and this is a major area of accountability.
- Comply with the privacy, security and confidentiality policies.
- Hold all confidential information in trust and strict confidence and ensure that it shall be used only for the purposes required to fulfill employment obligations, and shall not be used for any other purpose, or disclosed to any third party. A breach of policy or misuse of information could result in disciplinary action up to and including termination of employment.
- Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices.
Requirements:
- 6+ years of experience in software development with 3+ years of people management/leadership experience. Experience in healthcare technology industry, preferred.
- Post-secondary education in Computer Science, Engineering or similar and/or equivalent work experience.
- Proven track record in engineering management, specifically within implementation or client-facing product environments.
- Deep understanding of Agile methodology, high-level estimation rubrics, and dependency management.
- Ability to use data to qualify technical confidence and identify risks, assumptions, and dependencies.
Additional Information:
- Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support — not replace — fair and equitable hiring practices.
- This position is a replacement role, created to support Smile’s continued growth and commitment to operational excellence.
Smile Digital Health Toronto, Ontario, CAN Office
Toronto, Ontario, Canada
Similar Jobs
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Lead enterprise-wide resilience programs (BC/DR, crisis management) by managing portfolios, metrics, dashboards, cross-functional execution, risk mitigation, governance, vendor/tools, and executive reporting to improve preparedness and response.
Top Skills:
AgileBc Management PlatformsCloud-Native EnvironmentsConfluenceJIRAPower BIScrumServicenowSnowflakeTableauWaterfall
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
The Director GTM FP&A leads financial planning, forecasting, and reporting for GTM functions, supports revenue growth, and optimizes investment decisions while managing a high-performing team.
Top Skills:
ExcelOracleSalesforceSnowflakeTableau
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.
Top Skills:
AWSMySQLPandasPythonPyTorchReactRedisRuby On RailsShopifySidekiqSklearnTerraformXgboost
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
