Senior Manager – Software Engineering

Role Overview

• 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 2026!
• Lead the development and advanced AI models explorer/evaluation, Agentic AI application evaluation and tuning.
• 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.
• Design robust, modular, and scalable systems, leading teams hands-on to implement new features, and ensuring systems are secure, compliant, and up to date.
• Identify opportunities for system and process improvements, leverage CI/CD and process optimization, and stay current with industry trends.
• Assist in developing the technical vision, strategy, and innovation for Mercury’s application systems, fostering a culture of continuous improvement, innovation, and excellence.

Requirements

• Minimum: Bachelor’s Degree in Computer Science, Computer Engineering, Information Systems or other related fields Or equivalent combination of education and experience.
• Preferred: M.S./PHD Data Science, Computer Science, Mathematical or related
• Minimum: 10+ years of Software engineering experience with 5+ years leading and managing staff
• Preferred: 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
• 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.
• Preferred: 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

Tech Stack

• AWS
• Cloud
• Java
• Microservices
• Python

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