Job Title

Director of Engineering (Platform Intelligence)Location: RemoteDepartment: Product & TechnologyReports to: Director of EngineeringAbout the RoleAccelerant is seeking an experienced Director of Engineering to lead one of our fullstack engineering teams within the Product & Technology group. This role combinespeople management with strong project management discipline and Agile practices.You will be responsible for developing engineering talent, managing cross teamdependencies, and enabling your team to build high quality, impactful SaaSapplications.Core Responsibilities• AI & Data Science Product Development: Lead projects that surface DataScience model outputs and GenAI capabilities into product features. Partner withdata science, architects, and data teams on integration, implementation, anddelivery of AI powered product capabilities.• AI Tooling & Adoption: Champion the adoption of AI tools and practices withinthe team. Evaluate and implement AI assisted development tools, establish bestpractices for AI augmented workflows, and drive measurable improvements indeveloper productivity.• Project Planning & Execution: Own end to end project delivery. Define scope,create realistic timelines, identify risks early, break down initiatives intomilestones, and track progress against commitments.• Team Development & Mentorship: Invest in your team members by promotingcontinuous growth, offering guidance and support, and fostering a positive andinclusive work environment.• Agile Process Ownership: Serve as the Agile champion for your team. Ensureconsistent execution of Scrum ceremonies, track sprint metrics, and refineprocesses to improve predictability.• Stakeholder & Dependency Management: Build relationships with businessstakeholders, Product Management, Design, and partner engineering teams.Communicate status, manage expectations, flag risks early, and coordinateacross teams to prevent blockers.• Technical Roadmap Ownership: Partner with the team Architect on technicaldirection and design decisions. Contribute to quarterly planning and OKRdefinition. Balance technical debt reduction with feature delivery.• Engineering & Operational Excellence: Drive engineering best practices andscalable solutions. Own production reliability, lead incident response andpostmortems, and improve system stability.• Performance Management: Monitor and guide the performance of your teammembers, providing regular feedback and helping each individual reach theircareer potential.Technical Requirements• Full Stack SaaS Understanding: A solid understanding of full stack SaaSapplications and best practices is necessary to effectively support and guideteams.• API Integration Experience: Strong experience consuming external APIs andintegrating third party services. Understanding of API contracts, versioning,health monitoring, and production readiness requirements.• GenAI Development Expertise: Demonstrated experience building productionfeatures using LLMs and GenAI technologies, including prompt engineering,model integration, RAG patterns, agentic workflows, and guardrails. Ability todefine and measure quality, accuracy, and observability metrics for GenAIfeatures in production.• Machine Learning & Data Science Knowledge: Solid understanding ofmachine learning concepts, model deployment, and inference APIs. Ability toevaluate model accuracy and performance and collaborate effectively with DataScience teams with enough depth to challenge approaches and drive solutions.• Data Platform Familiarity: Familiarity with data pipelines and modern dataplatforms. Experience with Snowflake, data warehousing concepts, or similartechnologies is a plus.• Familiarity with the Stack: Familiarity with our stack, which includes TypeScript(for both frontend and backend), Svelte, Node.js/Nest.js, AWS, and Infrastructureas Code (IaC), is preferred, though experience with similar technologies is alsovaluable.• Agile Tooling: Proficiency with Agile project management tools such as Jira,including workflow configuration, reporting, and dashboard creation.Qualifications• Experience: 5 to 7 years as an engineering manager, ideally leading crossfunctional teams in a SaaS environment. Track record of delivering complexsoftware projects on time, including customer facing GenAI or ML poweredfeatures.• Agile Expertise: Deep understanding of Agile principles and Scrummethodology. Scrum Master or similar certification is a plus.• Cross Team Collaboration: Proven experience working with data teams,whether Data Science, Data Engineering, or Analytics. Ability to bridge technicaldiscussions across different engineering disciplines.• Operational Mindset: Comfortable with on call responsibilities and productionsupport.• Leadership Skills: Proven track record of effective team leadership,performance management, and fostering a positive, growth orientedenvironment.• Strategic Mindset: Strong analytical skills, able to make data driven decisions,and balance between hands on support and strategic planning.ConfidentialAbout AccelerantAccelerant is a data-driven, technology-fueled insurance platform that empowersunderwriters to more effectively serve their insureds. We're using advanced dataintelligence tools to rebuild the way that underwriters share and exchange risk. With acurrent focus on the small and medium-sized businesses that power our globaleconomy and their niche insurance needs, we align incentives to improve outcomes foreveryone. Our full-service risk exchange supports our carefully selected, best-in-classnetwork of underwriting teams. We leverage granular information on each policy todeliver unprecedented insight into insurance pools, and our specialty portfolio is fullydiversified with very low catastrophe, aggregation or systemic risk. We're proud to havebeen awarded an AM Best A- (Excellent) rating. For more information, please visit.Accelerant is a fully remote company. Work where you're most productive and fulfilled.This position is open to remote candidates across the U.S., Canada, UK, and Europe,who have the flexibility to work with our teams distributed across Europe and NorthAmerica. Most cross-team collaboration happens in the mornings of the Eastern TimeZone.