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Direct Supply

AI-powered procurement for elder care

Senior Manager, Engineering - Software & Data Platforms

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeMilwaukee, WI, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in computer science, software engineering, computer engineering, or a related field, or equivalent practical experience.
  • Significant experience designing, delivering, and operating complex software products or platforms, including technical direction and production accountability.
  • Demonstrated experience leading multiple engineering teams or a broad product or platform area, with accountability for outcomes across teams.
  • Experience coaching engineering managers or technical leaders, developing talent, and building organizational capability beyond an individual team.
  • Ability to shape roadmaps and make informed tradeoffs across priorities, capacity, investment, and dependencies with senior product and business partners.
  • Experience evaluating AI, machine learning, or automation opportunities and guiding solutions from testing into sustained use, with attention to measurable value, quality, security, privacy, and operational needs.
  • Strong working knowledge of cloud platforms, continuous integration and continuous delivery, automated testing, infrastructure as code, reliability, and technical-debt management.
  • Experience guiding engineering teams across relevant application and distributed-system technologies, such as .NET, web, or mobile platforms.

Responsibilities

  • Shape engineering priorities and roadmaps with senior product and business partners, balancing customer needs, investment, capacity, and dependencies to deliver measurable business outcomes.
  • Use customer research, product data, feedback, and operational measures to guide decisions, improve product performance, and strengthen customer experiences.
  • Lead multiple engineering teams through the design, delivery, and operation of customer-facing software, ensuring accountability for architecture, quality, security, reliability, and ongoing improvement.
  • Identify and evaluate AI, machine learning, and automation opportunities across products and engineering workflows. Define success measures, assess business value and risks, and scale effective solutions with appropriate privacy, security, quality, and human oversight.
  • Develop engineering managers, technical leaders, and teams through coaching, hiring, talent development, clear expectations, and an inclusive culture of accountability and continuous learning.
  • Establish consistent engineering practices across architecture, software maintainability, security, reliability, and technical health to improve quality and long-term scalability.
  • Improve software delivery and operational efficiency through continuous integration and continuous delivery, automated testing, cloud operations, and technical-debt management.
  • Lead the adoption of new tools, practices, and ways of working across teams, aligning stakeholders, communicating the rationale for change, and building capabilities that sustain improvements.
  • Collaborate across engineering, product, security, and business teams to resolve dependencies, align priorities, and deliver shared outcomes.
  • Communicate engineering progress, risks, decisions, and tradeoffs to senior leaders and stakeholders to support informed decisions and organizational alignment.
  • Identify gaps in the software development lifecycle, developer tools, data platforms, and cloud deployments, then develop and execute strategies to fill those gaps, ensure guidance is consistently followed across the technology organization, and improve developer experience.

Desired Qualifications

  • Experience leading teams working on multi-tiered distributed platforms and relational database design.
  • Familiarity with enterprise security best practices, compliance standards, and risk mitigation.
  • Proven ability to drive innovation through hackathons, proof-of-concept initiatives, and rapid prototyping.
  • Experience with modern cloud platforms (AWS, Azure, or GCP), AI-driven automation, and containerization technologies (Docker, Kubernetes).

About the Company

Direct Supply

AI-powered procurement for elder care

Direct Supply helps senior-care providers run better by combining 40+ years of industry experience with AI, automation, and actionable insights. Its offerings include intelligent supply chains, advanced procurement tools, and purpose-built technology that streamline operations and improve resident outcomes. The company differentiates itself through its deep focus on senior living, a blend of technology with practical frontline support and policy advocacy, and end-to-end solutions that integrate sourcing, logistics, and care environments. Its goal is to empower providers to create stronger, more efficient care environments for America’s seniors and to advance the field of senior care through smarter processes and advocacy.

Company size
1,001-5,000
Company stage
Grant
Total funding
$22.5M
Headquarters
Milwaukee, WI
Founded
1985

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