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- Tasks: Lead full stack engineering teams and drive impactful SaaS AI & Data Science projects.
- Company: Accelerant, a remote-first tech-driven insurance platform.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team reshaping the insurance industry with cutting-edge technology.
- Qualifications: 5-7 years in engineering management with Agile expertise and strong analytical skills.
- Other info: Collaborate across teams in a supportive, growth-oriented environment.
The predicted salary is between 72000 - 108000 £ per year.
Accelerant is seeking an experienced Director of Engineering to lead one of our full stack engineering teams within the Product & Technology group. You will be responsible for developing engineering talent, managing cross team dependencies, and enabling your team to build high quality, impactful SaaS AI & Data Science products.
- Product Development: Lead projects that surface data science, architects, and data teams on integration and implementation.
- Project Planning & Execution: Own end to end project delivery, create realistic timelines, identify risks early, and break down initiatives.
- Agile Process Ownership: Serve as the Agile champion for your team, ensuring consistent execution of Scrum ceremonies, tracking sprint metrics, and refining processes.
- Communication: Communicate status, manage expectations, flag risks early, and coordinate with stakeholders, Product Management, Design, and partner engineering teams.
- Engineering & Operational Excellence: Drive engineering best practices and monitor the performance of your team members, providing regular feedback.
- Full Stack SaaS Understanding: A solid understanding of full stack SaaS health monitoring and production readiness requirements.
- Machine Learning & Data Science Knowledge: Familiarity with machine learning concepts, model deployment, and inference APIs.
- Data Platform Familiarity: Familiarity with data pipelines and modern data warehousing concepts, including Snowflake.
- Familiarity with the Stack: Familiarity with our stack, which includes TypeScript, Svelte, Node.js/Nest.js, AWS, and Infrastructure.
- Agile Tooling: Proficiency with Agile project management tools such as Jira, including workflow configuration, reporting, and dashboard creation.
- Experience: 5 to 7 years as an engineering manager, ideally leading cross software projects on time, including customer facing GenAI or ML powered projects.
- Agile Expertise: Deep understanding of Agile principles and Scrum; Scrum Master or similar certification is a plus.
- Collaboration: Proven experience working with data teams, whether Data Science, Data Engineering, or Analytics.
- Analytical Skills: Strong analytical skills, able to make data driven decisions, balancing hands on support and strategic planning.
Accelerant is a data-driven, technology-fueled insurance platform that empowers underwriters. We are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. Our full-service risk exchange supports our carefully selected, best-in-class network of underwriting teams. Accelerant is a fully remote company, open to remote candidates across the U.S. Most cross-team collaboration happens in the mornings of the Eastern Time.
Director of Quality Innovation employer: Accelerant
Contact Detail:
Accelerant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Quality Innovation
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A personal connection can often get you noticed faster than a CV.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their values and goals.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Director of Quality Innovation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience in engineering management, Agile practices, and any relevant technologies like LLMs or GenAI. We want to see how you fit into our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background aligns with our needs. Be sure to mention your experience with full stack SaaS and project management.
Showcase Your Achievements: When detailing your past roles, focus on specific achievements rather than just responsibilities. Quantify your successes where possible, like improving team performance or delivering projects ahead of schedule. We love numbers!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Accelerant
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like TypeScript, Node.js, and AWS. Brush up on your knowledge of full stack SaaS applications and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Agile Expertise
Since this role requires a strong understanding of Agile practices, prepare examples of how you've successfully implemented Agile methodologies in your previous roles. Be ready to discuss specific Scrum ceremonies you've led and how you tracked sprint metrics.
✨Demonstrate Leadership Skills
As a Director of Engineering, you'll need to showcase your people management skills. Prepare to talk about how you've developed engineering talent and managed cross-team dependencies. Highlight any experience you have with performance management and fostering a positive team culture.
✨Prepare for Data Discussions
Given the focus on data science and machine learning, brush up on your knowledge of these areas. Be prepared to discuss your experience with LLMs, GenAI technologies, and how you've collaborated with data teams in the past. This will show that you can bridge the gap between engineering and data science effectively.
