VP, Engineering

TranslationSan Francisco, CA
5d$275,000 - $310,000Hybrid

About The Position

UnitedMasters is seeking a VP of Engineering to lead and scale our engineering organization across backend, mobile (iOS/Android), web, data, QA, DevOps. This leader will drive the architectural vision, delivery excellence, and technical culture behind our consumer subscription products and our growing B2B indie label business. A core mandate of this role is leveraging AI to enhance both customer experience and engineering productivity. You will champion AI-driven personalization, artist tools, recommendations, and automation while also deploying AI-enabled development tooling, test automation, and ML-driven operations to improve engineering velocity and quality. This role is ideal for a systems-level thinker, an inspiring people leader, and an operator who thrives in a fast-moving, culture-driven environment. This role is based in San Francisco with four days in-office and one day remote.

Requirements

  • 12+ years engineering experience with 5+ years leading orgs of 25+ engineers, including managers and senior ICs.
  • Proven success as a senior engineering leader (Director/Sr. Director/VP) at a scaled B2C, marketplace, or subscription-driven technology company.
  • Strong technical background with the ability to dive deep into systems architecture, data modeling, mobile performance, and platform-scale challenges.
  • Demonstrated experience deploying AI/ML in both customer-facing features and internal engineering workflows.
  • Hands-on leadership managing distributed teams.
  • Track record of improving engineering velocity and developer experience through tooling, process, and automation.
  • Exceptional communication skills and experience partnering with product and executive leadership.

Nice To Haves

  • Experience with large-scale content distribution, media ingestion pipelines, payments, subscription systems, or rights management.
  • Familiarity with Python/Django, JavaScript/TypeScript, Kubernetes, event-driven architecture, or modern mobile frameworks.
  • Strong understanding of data science, ML infrastructure, and experimentation platforms.
  • Background in creator economy, digital media, or marketplace ecosystems.

Responsibilities

  • Technical Leadership, AI Innovation & Architecture Define the multi-year technical and AI strategy across the UnitedMasters product ecosystem.
  • Build AI-powered customer-facing capabilities (e.g., artist insights, content recommendations, automated marketing, distribution optimization).
  • Introduce AI/ML for internal engineering productivity (e.g., code generation, automated testing, anomaly detection, observability insights, ops automation).
  • Drive architectural modernization and scale initiatives across our marketplace, mobile apps, analytics pipelines, and label services.
  • Ensure systems are reliable, performant, secure, and built for global scale.
  • Organizational Leadership & Global Team Management Lead, mentor, and grow our engineering organization, including managers, and senior ICs.
  • Own engineering competencies, performance systems, and technical excellence standards.
  • Execution, Delivery & Productivity Drive SDLC practices with strong CI/CD, automated testing, and AI-enabled developer tools.
  • Ensure predictable execution and high-quality delivery across all engineering pods.
  • Partner with Product and Design leadership on prioritization, planning, and resource allocation.
  • Own engineering commitments and ensure exceptional communication around timelines, risks, and dependencies.
  • Cross-Functional Partnership Collaborate closely with Product, Design, Data Science, Revenue, Marketing, and Artist Relations teams.
  • Translate business goals into clear, actionable technical plans.
  • Improve expectations-setting and visibility with executive stakeholders.
  • Innovation & Velocity Foster an environment where teams experiment and ship quickly, backed by strong measurement and rapid iteration.
  • Champion new technologies especially AI/ML, automation, and mobile innovation to drive continuous improvement.
  • Use data and machine learning to power artist discovery, monetization tools, predictive insights, and sync opportunities.

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What This Job Offers

Job Type

Full-time

Career Level

Executive

Education Level

No Education Listed

Number of Employees

251-500 employees

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