Senior Director of Software Engineering

About the role

Point Predictive is redefining fraud detection and risk decisioning for lenders through large-scale consortium data, machine learning, and real-time systems. We are seeking a Senior Director of Software Engineering to lead the design, delivery, and reliability of our production platforms. This role will own the end-to-end engineering execution behind our core products, including real-time APIs, data ingestion, and decisioning systems that operate at scale across financial institutions. This leader will partner closely with the VP of Data & Technology to align engineering with data science and product priorities, ensuring that models, data, and customer-facing systems are seamlessly integrated and production-ready. The ideal candidate brings a strong balance of technical depth, execution rigor, and leadership - with the ability to scale both systems and teams in a high-growth environment, while leveraging modern AI tools to improve engineering velocity and quality.

Responsibilities

• Own engineering delivery, system reliability, and production outcomes across APIs, UI, and real-time decisioning systems
• Establish and own QA and release strategy, including automated testing, regression coverage, and safe deployment practices (e.g., shadow mode, canary releases)
• Implement real-time monitoring, alerting, and observability across the full stack to proactively detect and resolve issues before customer impact
• Drive architecture across backend and frontend systems, ensuring scalability, performance, and a consistent user experience
• Partner closely with Data Science to productionize machine learning models in real-time systems
• Operate as a hands-on leader, able to dive into system design, debugging, and critical production issues
• Lead and scale the engineering team, setting a high bar for execution, code quality, and accountability
• Establish strong engineering practices across CI/CD, incident response, and operational excellence
• Leverage modern AI-assisted development tools (e.g., Claude Code) to improve productivity, testing rigor, and overall engineering quality
• Collaborate with Product and Customer teams to ensure smooth deployments and high-quality integrations
• Own technical roadmap and execution aligned to company priorities
• Ensure systems meet security, compliance, and data governance requirements in a regulated financial environment

Requirements

• 10–15+ years of software engineering experience, with 5+ years leading teams and managers
• Proven ability to drive engineering execution and deliver reliable production systems at scale
• Strong experience with distributed systems and full-stack architecture (APIs, backend, and UI)
• Experience building and scaling systems in cloud environments (AWS preferred)
• Hands-on leadership style, with the ability to engage in architecture, debugging, and critical system decisions
• Experience in high-growth or scaling environments, with a track record of building teams and systems through change
• Strong experience with QA, release processes, and progressive deployment strategies (e.g., shadow mode, canary releases)
• Experience with monitoring, alerting, and observability across distributed systems
• Experience partnering with data science teams to productionize machine learning models
• Comfort leveraging AI-assisted / agentic development tools to improve engineering productivity and reduce errors
• Strong communication skills and ability to align cross-functional stakeholders
• Experience in financial services, lending, or fraud detection is a plus

What success looks like

• Consistent, reliable delivery with minimal production issues
• Predictable, low-risk releases supported by strong QA and pre-production validation
• Issues identified and resolved proactively through monitoring and alerting
• APIs, UI, and decisioning systems operate as a cohesive, high-performing platform
• Data science models are seamlessly integrated into production
• Engineering teams leverage AI tools to improve speed and reduce errors
• Clear ownership, accountability, and strong cross-functional partnership

Why this role

• Own and scale the engineering backbone of a company delivering real-time fraud and risk decisions
• High visibility role with direct impact on product performance and customer outcomes
• Opportunity to build and shape a strong engineering organization during a critical growth phase
• Work directly with executive leadership to define technical direction and execution strategy

Education

Bachelor's or Master's (Preferred)

Pay

$180,000.00 - $195,000.00 per year

Benefits

• 401(k)
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Vision insurance