Director, Software Engineering

What you’ll do

As Director, Software Engineering for Protect, you will lead a critical part of Pindrop’s real-time, multi-signal fraud detection platform. You will guide both the technical direction and the people strategy for the team, helping scale the distributed systems that analyze voice, device, and behavioral patterns while improving execution, quality, and team effectiveness.

More specifically, you will:

• Set the engineering strategy for your area of the Protect platform and turn long-term product and business goals into clear technical plans.
• Lead and develop engineering managers and senior engineers, creating strong teams with clear ownership, healthy operating rhythms, and meaningful growth paths.
• Deliver complex distributed systems predictably and at high quality, balancing speed, scalability, reliability, and long-term technical health.
• Partner closely with Product, Research, Security, and executive stakeholders to align roadmap priorities, technical investments, and customer outcomes.
• Raise the bar on architecture, observability, operational excellence, and developer productivity across your area.
• Use metrics and sound engineering judgment to improve delivery health, team effectiveness, and the resilience of systems running at scale.

Who you are

• You are strategically minded and know how to turn complex business and technical goals into practical, executable plans.
• You are a relationship-driven leader who builds trust across engineering and cross-functional teams, especially in fast-moving and ambiguous environments.
• You care deeply about engineering quality, team health, and creating an environment where leaders and teams can do their best work.
• You are technically credible and AI-fluent, with the judgment to guide architectural decisions and adopt AI-enabled capabilities responsibly.

Your skill-set

Must-haves:

• 8+ years of engineering experience, including meaningful people leadership in software, platform, or infrastructure environments.
• Proven experience owning and scaling distributed systems, APIs, or microservices in production, ideally in SaaS environments.
• Strong technical depth in cloud-native systems and modern engineering practices across AWS and/or GCP.
• A track record of improving execution through better engineering metrics, process discipline, and organizational design.

Nice-to-haves:

• Experience in fraud prevention, authentication, voice biometrics, risk engines, or related security domains.
• Familiarity with data science infrastructure, machine learning, or generative AI in production.
• Experience leading remote or distributed engineering teams during periods of growth and change.

What’s in it for you

This is a high-impact opportunity to help shape the