Set and evolve the technical direction for the team, ensuring architectural decisions align with product goals, scalability requirements, and industry best practices.
Champion the adoption of GenAI-powered developer tooling (e.g., GitHub Copilot, Claude Code) to accelerate delivery and improve code quality.
Conduct and guide rigorous code reviews, architecture discussions, and design sessions to maintain high engineering standards.
Stay current with emerging technologies, frameworks, and AI/ML advancements relevant to enterprise SaaS development.
Has full accountability for technical output within the group, ensuring solutions are scalable, secure, and maintainable.
2.Team Leadership and People Development:
Lead, mentor, and grow a team of 10-15 engineers of varying experience levels, including senior engineers and individual contributors.
Own the full talent lifecycle: hiring, onboarding, performance management, career development, compensation planning, and retention
Foster a culture of technical curiosity and continuous improvement, where engineers feel empowered to experiment with new technologies and tools, including AI-assisted workflows.
Identify skills gaps and build targeted development plans, advocate for team members' growth and promotion opportunities.
Responsible for a major engineering function, demonstrating strong leadership and management skills with the ability to manage mid-sized teams.
3.Delivery and Execution:
The role's core accountability is ensuring the team delivers high-quality, reliable software that meets enterprise-grade reliability and compliance requirements.
Partner with Product Management and Design to translate business requirements into well-scoped engineering deliverables.
Own sprint planning, capacity management, and roadmap execution, balancing feature velocity with technical debt reduction.
Drive a culture of engineering rigor: automated testing, CI/CD maturity, observability, and incident response.
Define, track, and report on delivery metrics (cycle time, defect rates, deployment frequency) using data-driven approaches.
Manage competing priorities with transparency, proactively communicating risks and trade-offs to stakeholders.
Develops operational plans for the group based on broader engineering and corporate strategy; strategic decisions have a 2-4 year impact horizon.
4.GenAI Adoption and Developer Productivity:
Lead by example in the evaluation, piloting, and scaled rollout of generative AI tools for code generation, test automation, documentation, and developer workflows.
Define best practices and guardrails for responsible GenAI use within the software development lifecycle (SDLC), including security, IP, and compliance considerations.
Partner with platform and DevOps teams to integrate AI tooling into CI/CD pipelines and developer environments.
Measure and communicate the ROI of GenAI adoption through productivity metrics and developer experience surveys.
Act as an internal evangelist for AI-augmented engineering, educating teams, leadership, and stakeholders on capabilities and responsible use.
5.Cross-Functional Collaboration and Stakeholder Engagement:
Serve as the primary engineering point of contact for product, design, security, and customer success teams.
Collaborate with architects, platform engineering, and other group managers to drive consistency in technology choices, shared services, and reusable components.
Engage with customers and partners when needed to understand technical requirements and provide confidence in engineering capabilities.
Represent the engineering team in executive reviews, quarterly planning, and cross-functional forums.
6.Security, Quality, and Compliance:
Ensure software development practices comply with enterprise security standards and relevant regulatory requirements (e.g., SOC 2, HIPAA where applicable).
Instill quality engineering
Benefits
Health insuranceRemote work options
Additional Information
Merge medical imaging solutions, offered by Merative, combine intelligent, scalable imaging workflow tools with deep and broad expertise to help healthcare organizations improve their confidence in patient outcomes and optimize care delivery.
We are seeking a proven and forward-thinking Sr. Manager, Software Engineering to lead a team of 10-15 software engineers delivering enterprise SaaS solutions. This role is central to driving technical excellence, developer productivity, and the thoughtful adoption of AI-assisted development practices across the engineering organization. The Sr. Manager will balance hands-on technical leadership with strategic people management-coaching engineers, partnering cross-functionally, and ensuring the team delivers high-quality software at scale. The ideal candidate brings deep experience in enterprise software development, a genuine enthusiasm for generative AI tooling, and a track record of building collaborative, high-performing teams.
This role is remote and open for both U.S and Canada.