CareerMoonshot

Manager, Software Engineering

WGU · Arizona

📍 Phoenix, AZ💰 $151,800via workdayFirst listed here 2026-09-22
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If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career. Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. The salary range for this position takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At WGU, it is not typical for an individual to be hired at or near the top of the range for their position, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Grade: Management Technical 714 Pay Range: $151,800.00 - $250,500.00 Job Description WGU is hiring a hands-on engineering leader to build and grow the team behind the systems that place our students into the real-world experiences their degrees require — clinical rotations for nursing and health professions students in the Leavitt School of Health, and classroom placements for teacher candidates in the School of Education. When these systems work well, a student starts their placement on time and graduates on time. That is the outcome this team owns. The team builds on Salesforce and extends well beyond it: custom services, integrations with university systems, and a growing set of AI and large-language-model workflows, including direct integrations with AWS Bedrock where that is the stronger engineering answer. We are looking for a manager who is still genuinely technical — someone who reviews designs and code, prototypes alongside the team, and has the platform judgment to decide when to configure, when to build, and when to integrate. You will work in close partnership with a dedicated product team, which owns the roadmap and prioritization; you own how it gets built and who builds it. This is a build-and-rebuild role. You will inherit a capable team that has been through real change over the past year, several open positions to fill, and a meaningful say in how this group works and what it builds next. If re-energizing a team and setting its technical direction is the work you want, this role offers an unusual amount of room to do it.   Location: Phoenix, AZ. This role is based onsite in our Phoenix office, five days per week. Reports to: Director, Software Engineering. What You'll Own Lead and grow the team Manage, coach, and develop a team of software engineers; set clear expectations, give direct feedback, and conduct performance and development conversations.  Own hiring for the team's open positions — sourcing, interviewing, closing candidates, and onboarding them well.  Build a team culture people want to be part of: clear priorities, visible impact, and space to learn.  Partner closely with the product team on roadmap, scope, and sequencing — bringing engineering perspective, technical feasibility, and effort trade-offs early enough to shape what gets built.  Build strong working relationships with academic and operations leaders across the Leavitt School of Health and the School of Education alongside your product partners .  Set the AI direction  Establish how this team uses AI in its own engineering practice — AI-assisted development, code review, testing, and documentation — and hold a sensible bar for quality, security, and review as those practices mature.  Work with the product team to identify where AI and LLMs create real value — intelligent matching and scheduling, document and credential processing, summarization, and agent-style workflows that reduce manual effort for students and placement staff — and own the technical evaluation, design, and build.  Make deliberate platform decisions. Extend Salesforce where the platform is genuinely the right fit; design custom services or direct AWS Bedrock integrations where they deliver better results, lower cost, or more control. We are looking for someone who reaches for the right tool rather than defaulting to a single vendor's roadmap.  Establish practical guardrails for AI work — data handling, student-data privacy, evaluation, human review, and cost management.  Stay hands-on  Spend a meaningful share of your week in technical work: architecture and design reviews, code reviews, spikes, prototypes, and debugging alongside the team. You should expect to write code — roughly a quarter to a third of your time — and to be able to hold your own in a design discussion on day one.  Lead application architecture and make sound build / configure/buy/integrate decisions.  Mentor engineers through design and code review, raising the technical level of the team over time.  Deliver  Partner with product management on roadmap and prioritization, and own engineering delivery against it — resource planning, technical sequencing, scheduling, and delivery timelines.  Deliver quality solutions on time, within budget and scope, using Agile/Scrum practices.  Drive the full development lifecycle: technical discovery, feasibility estimates, design, implementation, documentation, testing, release, and support.  Support change management for software releases, patching, and production configuration changes.  Identify and resolve risks early, when they are still cheap to fix.  Oversee department expenses and contribute to budget planning.  Perform o

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