Software Engineering Manager
Jellyvision
| Company | Jellyvision |
| Category | Engineering |
| Location | Remote |
| Remote | Remote |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 8 Apr 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Software Engineering Manager
Who we are
Jellyvision is redefining how organizations experience benefits by bringing everything together in one modern, intelligent home. With ALEX Home, we combine our award-winning ALEX® decision support with a flexible benefits administration platform, giving employers and employees a simpler, smarter way to manage benefits year-round.
Our mission is to help organizations reduce complexity, lighten administrative burden, and drive real employee understanding and utilization without forcing rip-and-replace decisions. We meet teams where they are today and give them a clear path to what’s next.
The people behind Jellyvision are creative problem solvers who care deeply about getting it right. We debate ideas, give real feedback, and sweat the details because those details are what turn complicated problems into great experiences for real humans.
We’re a human-first company that trusts smart people to do great work. We value curiosity, kindness, and willingness to try new things, learn fast, and try again. You won’t just show up to do a job, you’ll help build what’s next, solve real problems, and have some fun doing it.
What’s the role?
The Software Engineering Manager grows and develops talented engineers to drive meaningful business outcomes. You'll build an environment where engineers do their best work—clearing obstacles, sharpening skills, and connecting individual contributions to what matters most for the product and our customers. You'll own delivery accountability across your product teams and serve as the Agile Owner, keeping quality high and momentum moving.
What you'll do to be successful
1. Grow engineers and drive technical excellence
Directly manage a team of software engineers—owning their development, quality bar, and technical direction
Coach and mentor engineers to sharpen skills, design better systems, and develop sound judgment about when and how to use AI tools effectively
Organize and assign work alongside the Technical Lead and Product Owner, breaking it into right-sized pieces that maximize efficiency
Balance feature work with maintenance, tech debt, and internal support
Set a high bar for technical quality across our JavaScript (React) and Python stack; you're accountable for the team's output
2. Champion AI-augmented engineering
Model and encourage fluent, responsible use of AI coding assistants (e.g., Claude, GitHub Copilot) to accelerate delivery and reduce toil
Help engineers develop sound judgment about AI-generated output—when to trust it, when to push back, and how to prompt effectively
Stay current on AI tooling; evaluate new tools with a practical, outcomes-focused lens and bring relevant advances to the team
Identify opportunities for AI to improve team workflows: code review, test generation, documentation, incident analysis
Contribute to org-wide conversations about AI governance, appropriate use, and engineer skill development
3. Manage and collaborate with key stakeholders
Handle team logistics: performance management, hiring, right-sizing, training, and promotions
Partner with the Product Owner to ensure work is designed, developed, and tested to high quality standards and aligned with the architecture vision
Proactively communicate delivery targets, commitments, and progress
Drive operational excellence through team metrics (DORA, SLIs, CI/CD health, security vulnerabilities, infra cost/usage)
Mitigate risks proactively, escalate when needed, and collaborate across teams to find solutions
Experience and skills you'll need
Deep understanding of how large-scale software systems are designed, built, tested, deployed, and delivered to customers
Experience using delivery and performance metrics to drive a team
At least 2 years managing offshore development teams using Agile methods (Scrum, Kanban, XP)
Genuine hands-on familiarity with AI coding
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