VP, Engineering

Job Description

UnitedMasters is seeking a Vice President of Engineering to lead and scale an 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.

Key Responsibilities

• Define the multi-year technical and AI strategy across the UnitedMasters product ecosystem, championing new technologies, especially AI/ML, automation, and mobile innovation, to drive continuous improvement.
• Build AI-powered customer-facing capabilities: artist insights, content recommendations, automated marketing, distribution optimization, and ML-driven discovery, monetization, and predictive tools.
• Deliver measurable improvements from AI-enabled engineering, including gains in delivery speed, cycle time, and quality through capabilities such as code generation, automated testing, code review, debugging, and engineering operations automation.
• Create and scale the paved path for AI-assisted and agentic software development across engineering: define the methodology and repeatable end-to-end workflows, determine how work is decomposed across sub-agents and tools, select and integrate the tooling, establish the supporting development practices and infrastructure, and drive adoption across the engineering organization.
• Establish the technical foundations for reliable and secure AI agents in UnitedMasters products, including agent architecture, agent memory and state management, context engineering, RAG, tool use, an evaluation framework, human-in-the-loop controls, and defenses against prompt injection, data exfiltration, and other adversarial risks.
• Drive architectural modernization and scale initiatives across our web applications, mobile apps, and internal tech platforms.
• Ensure systems are reliable, performant, secure, and built for global scale.

Organizational Leadership & Global Team Management

• Lead, mentor, and develop an 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.
• Foster an environment where teams experiment and ship quickly, backed by strong measurement and rapid iteration.
• 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.

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 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.
• Track record of improving engineering velocity and developer experience through tooling, process, and automation.
• Direct, hands-on experience building agentic-development capabilities from the ground up (must-have): methodology, tooling, context standards, and eval/safety frameworks you personally designed and shipped, with measurable developer-productivity gains you drove.
• Exceptional communication skills and experience partnering with product and executive leadership.

Nice to Have

• 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.

What We Offer

• Salary Hiring Range: $275K - 310K + bonus opportunity