You will design and implement scalable machine learning pipelines while serving as a technical lead to mentor junior team members. Additionally, you will build modular infrastructure and CI/CD pipelines to transition research models into production-grade insurance applications.
The Senior Customer Success Manager will own the entire post-sales experience, including onboarding, renewals, and strategic account management for enterprise clients. They will act as a trusted advisor, collaborating cross-functionally to drive product adoption and maximize customer value.
Lead a small team of engineers by providing architectural guidance, mentorship, and code reviews to ensure high-quality delivery. Collaborate with cross-functional teams to architect and build scalable features across the stack while driving engineering best practices.
You will build, deploy, and iterate on machine learning models and agentic workflows to address customer needs in the insurance sector. Additionally, you will monitor production systems, diagnose issues, and collaborate with engineering teams to ensure reliable, high-impact solutions.
You will lead and grow the Infrastructure and Security organizations while fostering a high-performing engineering culture. You will also partner with senior technical leaders to evolve cloud infrastructure and drive the team's roadmap to ensure platform reliability and scalability.
Lead and evolve core AI-focused product areas while managing a cross-functional team of engineers. Define the technical vision and architecture for agentic platforms to drive operational efficiency and customer experience.
You will lead complex technical implementations, serving as the primary escalation point for integration issues and custom solutions. Additionally, you will drive product feedback, mentor junior engineers, and influence architectural decisions through hands-on coding and cross-functional collaboration.
Lead the acquisition and growth of the largest, most complex insurance carriers and MGAs as a senior individual contributor. Manage the full sales cycle from initial relationship building and executive alignment to negotiation and closing.
Build and maintain robust ETL pipelines and internal frameworks to support AI/ML features and prompt-based LLM workflows. Collaborate with cross-functional teams to ensure data reliability, scalability, and the implementation of engineering best practices.
Lead technical sales engagements from discovery to close, delivering tailored demos and translating customer workflows into platform configurations. Collaborate with Product and Engineering teams to align the roadmap with customer pain points and refine pre-sales frameworks.
