Senior Manager Software Engineering

Mercury Insurance Services, LLC

About The Position

Join an amazing team that is consistently recognized for our achievements and culture, including our most recent Forbes award of being one of America's Best Midsize Employers for 2025! We are seeking an Sr Manager of Engineering, AI/ML, where you'll lead the development and advanced AI models explorer/evaluation, Agentic AI application evaluation and tunning. This role is essential in building and managing a world-class team of AI/ML Engineers and Data/ML Scientists. Your expertise will guide teams in building reliable systems that deliver impactful solutions. This role will be pivotal in developing and deploying innovative AI solutions at scale, address insurtech challenges. Position Summary: The Senior Manager Software Engineering will build and manage highly motivated, high-performing software engineering teams to support various business and technology areas. Key responsibilities include hiring, mentoring, and motivating staff, driving budgeting, and planning, and collaborating with product managers to estimate effort, prioritize the roadmap, and deliver high-quality applications. The role involves designing robust, modular, and scalable systems, leading teams hands-on to implement new features, and ensuring systems are secure, compliant, and up to date. The manager will identify opportunities for system and process improvements, leverage CI/CD and process optimization, and stay current with industry trends. Additionally, they will assist in developing the technical vision, strategy, and innovation for Mercury’s application systems, fostering a culture of continuous improvement, innovation, and excellence.

Requirements

10+ years of Software engineering experience with 5+ years leading and managing staff
Proficient in building and managing a large, highly motivated, high-performing software engineering team(s) by hiring strong talent, mentoring, and motivating staff.
Experienced in hiring and developing strong next-level managers and leaders.
Proficient in project management tasks like estimating, planning, executing, tracking, and reporting progress.
Proficient in leading multiple engineering teams to deliver high-quality product solutions per roadmap on different technology stacks like mobile, web, backend, data, etc.
Experienced in designing and implementing high-quality distributed application systems that are modular, configurable, maximize reuse, are fast, effective, user-friendly, secure, compliant, scalable, and maintainable.
Proficient in leveraging technologies like APIs, messaging, data streaming, workflow, integration frameworks, microservices, containers, and cloud computing to implement best-in-class solutions.
Maximizing use of open-source libraries where possible. Experienced in leveraging DevSecOps to improve engineering efficiency.
Experienced in leveraging analytics data and experimentation to design and implement or improve systems to be fast, scalable, and effective.
Experienced in leading parts of transformative initiatives like digital transformation, omni-channel system implementation, legacy system migration, cloud transformation, system optimization & modernization, product & services development, AI/ML adoption.
Excellent written and verbal communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
Strong ability to collaborate and influence cross-functional teams and stakeholders to address impediments and deliver desired results.
Experienced in championing operational excellence and best practices with a focus on quality, performance, scalability, maintainability, and observability.
Experienced in helping to drive technical strategy, vision, and innovation.
Bachelor’s Degree in Computer Science, Computer Engineering, Information Systems or other related fields Or equivalent combination of education and experience.

Nice To Haves

5+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI.
5+ years experience in building large scale enterprise application and platform.
1+ experience on insurTech
3+ years of experience in Machine Learning algorithms, Deep Learning, NLP, LLMs, and Generative AI, Agentic AI.
Strong background in applied research and engineering, with a demonstrated ability to lead projects from R&D to deployment.
Knowledge in large-scale system deployment of AI models and Agentic AI applications.
Expertise in building and optimizing POCs, with hands-on experience in training and Agentic AI Best Practices and evaluation.
Advanced proficiency in Java, Python, ML frameworks and ml libraries.
Great communication and leadership skills, with the ability to present complex ideas to both technical and non-technical audiences.
Experience on public cloud such as aws, sagemaker, MLflow, etc.
Proven experience in insurTech or related industries
M.S./PHD Data Science, Computer Science, Mathematical or related

Responsibilities

Build and manage highly motivated, high-performing software engineering team(s) by hiring strong talent, mentoring, and motivating the staff to support a few related business/technology areas, fostering a culture of continuous improvement, innovation, and excellence. Drive budgeting and planning for their area of responsibility.
Collaborate with product managers to estimate effort, prioritize the roadmap, plan, and deliver prioritized roadmap items for their areas of responsibility.
Review and translate product requirements for their areas of responsibility into robust designs to ensure high-quality applications that are modular, configurable, maximize reuse, are fast, effective, user-friendly, secure, compliant, scalable, and maintainable.
Lead the team(s) hands-on to deliver new or improved features, addressing any impediments in delivering a high-quality solution for their areas of responsibility.
Collaborate with other teams and stakeholders as necessary to ensure an overall successful delivery of the intended functionality.
Review product requirements, design, and code to ensure the best quality and adherence to best practices.
Ensure that all application system(s) for their areas of responsibility are secure, compliant, performing per expectations, and up to date on the tech stack. Identify opportunities for system and process improvements.
Drive the implementation of new features, large refactors/migrations, as well as process changes. Leverage CI/CD and process optimization to improve time to market.
Stay up to date with the latest industry trends and technologies and drive the adoption of best practices within the team. Assist in developing the technical vision, strategy, and innovation for Mercury’s application systems.

Benefits

Competitive compensation
Flexibility to work from anywhere in the United States for most positions
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
Medical, dental, vision, life, and pet insurance
401 (k) retirement savings plan with company match
Engaging work environment
Promotional opportunities
Education assistance
Professional and personal development opportunities
Company recognition program
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more