VP of Engineering

About Brightfield

At Brightfield, we are revolutionizing the way organizations manage their workforce. As a pioneer in workforce analytics, our AI-powered platform, TDX (Talent Data Exchange), helps the world’s largest companies make smarter decisions about how they design, source, and manage their extended workforce.

With over $573B in real-world workforce spend data from 139 countries, we provide the insights our customers need to reduce costs, manage risk, and unlock new levels of agility and performance. Since 2006, we’ve been trusted by the Global 2000 to guide strategic workforce decisions with clarity and confidence.

We are a fully remote team of data-driven innovators, problem solvers, and industry experts who value flexibility, ownership, and continuous learning. At Brightfield, how we work together matters—and we’re building a company where curious, driven people can do their best work. 

About the Role

Brightfield is seeking a hands-on VP of Engineering to lead the development and growth of our AI-powered platform, TDX. This role requires strong engineering leadership, AI operationalization and platform architecture experience—ideal for a seasoned leader who can build and commercialize products, scale teams, accelerate deployments and implement engineering best practices for a high-growth SaaS platform.

You will lead day-to-day engineering execution and team management, driving the scalability, usability, and AI capabilities of the TDX platform. Partnering closely with Product and Data leaders, you’ll ensure delivery of impactful solutions that meet customer needs. This role is ideal for someone eager to build and lead a world-class engineering team. You will report directly to the CTO.

What You’ll Do

• Lead and grow a high-performing, remote engineering team with a strong culture of ownership, collaboration, and delivery.
• Drive execution across product development cycles, ensuring high standards around code quality, testing, monitoring, and deployment.
• Collaborate cross-functionally with Product and Data to prioritize work, align on delivery timelines, and ensure technical feasibility.
• Oversee operationalization of AI models and data workflows within the TDX platform.
• Champion agile engineering processes that improve velocity and technical rigor.
• Track and report on engineering throughput, team health, and technical metrics.
• Guide engineers through critical design and code review processes.
• Drive scrum meetings with engineering teams.
• Foster a culture of continuous improvement, learning, and technical excellence.

What You Bring

• 10+ years of experience in software engineering, with 3+ years in a leadership role.
• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• Excellent communication and collaboration skills—comfortable working across disciplines and with executive stakeholders.
• Proven success building and scaling engineering teams in a SaaS environment.
• Strong experience deploying AI/ML capabilities within production software systems.
• Familiarity with enterprise data platforms, distributed systems, and cloud-native technologies (AWS preferred).
• Demonstrated ability to implement engineering best practices that balance speed and quality.
• Experience with CI/CD, infrastructure as code, and monitoring practices.
• Expertise in technologies such as Python, Snowflake, and LLM/ML frameworks is a plus.