Director of Engineering (Platform Intelligence)

Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. They are seeking an experienced Director of Engineering to lead full stack engineering teams, focusing on developing engineering talent and managing project delivery of impactful SaaS applications.

Responsibilities:

• Lead projects that surface Data Science model outputs and GenAI capabilities into product features. Partner with data science, architects, and data teams on integration, implementation, and delivery of AI powered product capabilities
• Champion the adoption of AI tools and practices within the team. Evaluate and implement AI assisted development tools, establish best practices for AI augmented workflows, and drive measurable improvements in developer productivity
• Own end to end project delivery. Define scope, create realistic timelines, identify risks early, break down initiatives into milestones, and track progress against commitments
• Invest in your team members by promoting continuous growth, offering guidance and support, and fostering a positive and inclusive work environment
• Serve as the Agile champion for your team. Ensure consistent execution of Scrum ceremonies, track sprint metrics, and refine processes to improve predictability
• Build relationships with business stakeholders, Product Management, Design, and partner engineering teams. Communicate status, manage expectations, flag risks early, and coordinate across teams to prevent blockers
• Partner with the team Architect on technical direction and design decisions. Contribute to quarterly planning and OKR definition. Balance technical debt reduction with feature delivery
• Drive engineering best practices and scalable solutions. Own production reliability, lead incident response and postmortems, and improve system stability
• Monitor and guide the performance of your team members, providing regular feedback and helping each individual reach their career potential

Requirements:

• 5 to 7 years as an engineering manager, ideally leading cross functional teams in a SaaS environment
• Track record of delivering complex software projects on time, including customer facing GenAI or ML powered features
• Deep understanding of Agile principles and Scrum methodology
• Proven experience working with data teams, whether Data Science, Data Engineering, or Analytics
• Comfortable with on call responsibilities and production support
• Proven track record of effective team leadership, performance management, and fostering a positive, growth oriented environment
• Strong analytical skills, able to make data driven decisions, and balance between hands on support and strategic planning
• A solid understanding of full stack SaaS applications and best practices
• Strong experience consuming external APIs and integrating third party services
• Demonstrated experience building production features using LLMs and GenAI technologies, including prompt engineering, model integration, RAG patterns, agentic workflows, and guardrails
• Solid understanding of machine learning concepts, model deployment, and inference APIs
• Familiarity with data pipelines and modern data platforms
• Familiarity with our stack, which includes TypeScript (for both frontend and backend), Svelte, Node.js/Nest.js, AWS, and Infrastructure as Code (IaC)
• Proficiency with Agile project management tools such as Jira
• Scrum Master or similar certification