Senior Manager, Software Engineering- Full Stack

Safe-Guard Products International LLC•Atlanta, GA

1d•Hybrid

About The Position

We are seeking a growth-minded Senior Manager to lead our Self-Service Claims Platform used by customers on mobile and desktop to file and manage claims. Reporting to the Head of Software Engineering, you will own the day-to-day leadership of the platform and its team, executing the engineering strategy, standards, and AI-native vision set by engineering leadership while being personally accountable for your platform’s success today and its evolution going forward. The right candidate has operated in environments where platform quality is directly tied to customer experience and has a genuine passion for using AI to improve both the product and the way it’s built. You will lead the existing team and platform driving continuous improvement, stability, security, and predictable delivery while helping shape and execute a future ground-up redesign of the platform with an AI-first mindset.

Requirements

8+ years of professional software engineering experience, with at least 3 years in a people management or engineering leadership role.
Demonstrated experience leading and improving an existing customer-facing platform, with the ability to also plan and architect a future greenfield rebuild in parallel.
Experience owning a digital product where platform quality directly affects customer experience and business metrics.
Deep working knowledge of Angular, Node.js, and Java Spring Boot; ability to guide architectural decisions and review code credibly.
Practical experience with progress web application architecture’s offline capability, responsive design, and performance optimization across mobile and desktop.
Hands-on experience integrating LLMs/chatbots into a customer-facing product, and demonstrated use of AI-assisted development tooling (such as Claude, Cursor, or similar) in the development workflow itself is a must-have.
Experience designing and integrating with shared/microservice APIs consumed by multiple platforms.
AWS cloud-native development experience, with a working understanding of secure development practices (DevSecOps), code quality standards, CI/CD, and production observability.
Exceptional communication skills able to translate complex technical concepts for executives, business partners, and engineers alike, and to listen as well as they speak.
Proven record of building and developing engineering teams, retaining top talent, and creating a psychologically safe environment that encourages bold ideas.
Experience leading teams in Agile/Scrum environments with a bias toward delivery, learning, and continuous iteration.

Nice To Haves

Background in insurance, claims, or other regulated customer-facing platforms.
Experience with accessibility standards (ADA/WCAG) in customer-facing product design.
Event-driven architecture experience (Kafka, SNS/SQS, EventBridge).
Hands-on experience with observability tooling (Datadog, Splunk, or similar).

Responsibilities

Own the day-to-day leadership of the team that builds and operates the self-service claims platform while fostering a culture of ownership, accountability, and continuous learning.
Lead with humility and curiosity, actively solicit ideas from your team, challenge assumptions, and foster a culture where innovation is everyone’s responsibility.
Drive a cultural shift of taking to ownership. Energize and shape the team to be proactive, and create an environment where engineers think independently and make hard decisions when needed.
Grow and develop your team through regular 1:1s, performance reviews, coaching, clear expectations, and stretch assignments; build career progression that rewards technical excellence and leadership growth, and develop your strongest engineers into future leaders.
Own platform stability, quality, and continuous improvement on Angular/Node.js (frontend) and Java Spring Boot (backend), integrating with shared APIs used by SG Connect and SG VSC (internal claims systems).
Set the technical direction for the platform within the architecture strategy and standards established by engineering leadership; make sound build/buy/partner and design decisions and clearly communicate trade-offs upward to your leadership and stakeholders.
Help shape and prepare for a future ground-up redesign of the platform, balancing ongoing delivery on the current system with planning and architecture work for what comes next.
Guide architectural decisions and review code credibly across the stack, partnering with Architecture, Security, and shared-API teams to ensure cohesive, integrated platform experiences.
Champion an AI-first mindset to identify where AI/LLM capabilities (chatbots, intelligent claim triage, guided self-service flows) can improve the customer experience today and in the upcoming redesign.
Bring hands-on AI-led development practices into the team’s day-to-day workflow, operationalizing the organization’s approved AI tooling to accelerate development velocity, improve code quality, and reduce operational work.
Apply Safe-Guard’s responsible-AI evaluation frameworks and responsible-use guidelines to your platform, ensuring any AI capability deployed to production meets the company’s quality, compliance, security, and reliability standards.
Partner closely with Operations and business teams to translate real-world claims handling and customer service needs into platform design decisions, with strong communication and negotiation skills.
Work with Compliance and Legal partners to ensure the claims platform meets the regulatory requirements of insurance and automotive product administration.
Communicate technical strategy, progress, risks, and trade-offs clearly to both technical and business stakeholders.
Own business-critical customer experience metrics including claims completion rate and call deflection by treating the platform as a direct driver of customer satisfaction, not just a technical deliverable.
Establish and uphold engineering standards for code quality, automated testing, observability, and incident response on your platform.
Drive predictable delivery: manage release cadences and track engineering health and delivery metrics that give leadership clear visibility into team performance and platform health.
Champion proactive reliability over reactive firefighting through runbooks, post-incident reviews, and continuous improvement of system reliability, performance, and security.
Identify and remove technical and organizational blockers that impede team velocity.