Senior Manager, Software Engineer (AI)

Location: US Remote; candidates must be authorized to work in the United States

Salary: $131,256.00–$223,134.00 annually

Company

hirify.global is a global advisory and technology services provider combining technology with domain expertise to help clients solve complex challenges.

What you will do

• Directly manage an initial team of three software and data engineers, including coaching, performance management, hiring, onboarding, and team growth.
• Own engineering and product roadmaps, translate utility use cases into product capabilities, and lead delivery from discovery through production support.
• Establish standards for coding, testing, documentation, version control, reviews, releases, software quality, and production readiness.
• Guide applications, APIs, shared services, data products, cloud operations, deployment, monitoring, and secure production practices.
• Lead AI-assisted engineering and AI-enabled product capabilities with evaluation, monitoring, data governance, privacy, security, and human oversight.
• Support client meetings, demonstrations, discovery, proposals, technical narratives, estimates, and delivery plans.

Requirements

• Bachelor’s degree in a relevant technical field.
• 5+ years of progressive software engineering experience, including leadership of complex engineering or product initiatives.
• Direct people-management experience with software or data engineers, including coaching, performance management, hiring, and team development.
• Experience leading data-intensive, client-facing software products from development through production, scaling, and cloud-based support.
• Strong experience with Python, SQL, APIs, data engineering, front-end technologies, cloud services, CI/CD, and modern software development practices.
• Experience setting technical roadmaps, leading cross-functional engineering initiatives, and applying AI-assisted development tools or AI-enabled capabilities.
• Ability to communicate technical decisions, priorities, risks, and tradeoffs to technical, client, and executive audiences.
• Must be authorized to work in the United States.

Nice to have

• Master’s degree in computer science, software engineering, data science, information systems, or a related field.
• Experience with Microsoft Azure, Azure DevOps, Databricks, Apache Spark, and Docker.
• Experience with data-intensive SaaS platforms, analytical products, configurable multi-client applications, React, Next.js, FastAPI, .NET, or comparable full-stack frameworks.
• Experience operationalizing machine learning, optimization, digital-twin, generative-AI, or agentic capabilities.
• Experience with enterprise architecture, cybersecurity, privacy, software governance, production-readiness reviews, utility-sector data, and analytical use cases.
• Familiarity with OpenDSS, CYME, Synergi, DERMS, or ADMS, and experience supporting technical sales, proposals, demonstrations, or modernization of analytical codebases.

Culture & Benefits

• Flexible workplace arrangements and work-life balance.
• Donation matching and volunteer opportunities.
• Tuition reimbursement and professional development resources.
• 401(k) matching and an Employee Stock Purchase Plan.
• Employment is full-time; the position is not eligible for new H-1B visa sponsorship.
• Applications must be submitted directly by the applicant; AI tools may not be used to generate or assist with interview responses unless an accommodation is approved.