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Job description
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
Qualifications
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
401(k)
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance
Application Question(s):
This is an in‑person‑only position. Will you commute to the office every day?
Our Core Values are 1) Be the Export 2) Get it Done and 3) Pitch In. - Describe in detail how you have embodied these Values in the Past and how will you continue to honor them in the future.
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Worksite address
san diego, CA, 92189, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.