Project Manager, Software Development

Company: VYNYL

Location: Los Angeles, CA (Remote)

Salary: $100,000 - $160,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-08-11

About this role

Vynyl's technologists, designers and product strategists are experts at system modernization, new product development, and rescuing projects in distress. We use the best cloud-native and AI-enabled tools, and apply a battle-tested combination of Agile, Lean, and design thinking to collaboratively solve our client's most pressing challenges - and do it right the first time. We often work in regulated industries, such as healthcare, financial services, government and education. Our work helps detect diseases, identify kids who need special educational support, applies AI to support complex legal settlements, helps people access mental health services, and so much more.

## The Role

As a Project Manager, you'll lead cross-functional software teams from discovery through launch and iteration. The work will span from modernizations and stabilizing "project rescues" to developing exciting new products. A significant portion of our work involves cutting-edge AI and data initiatives, including AI-native and enabled product experiences, data platform and integration work, and analytics/automation that turn insights into impact. You'll keep scope, schedule, budget, risk, and quality in balance while keeping clients confident and informed.

## What You'll Do

  • **Manage** end-to-end delivery across multiple engagements, agile ceremonies, roadmaps, and iterative releases with measurable outcomes.
  • **Meet** regularly with clients representing our team, so strong client-facing skills are essential.
  • **Translate** business objectives into clear requirements and acceptance criteria; ensure tickets are unambiguous and testable. Demonstrated ability to produce logic (truth tables, etc).
  • **Keep** abreast of the rapidly developing use and deployment of AI tools and techniques, and collaborate with your team and company leadership to integrate this knowledge into our approach.
  • **Coordinate** across disciplines to ensure data readiness, evaluate and integrate AI model outp...

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