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- Tasks: Lead a talented engineering team to build AI-powered products that transform social work.
- Company: Join Beam, a rapidly growing company revolutionising casework with innovative technology.
- Benefits: Enjoy flexible working, generous holiday, coaching, and discounts on tech and bikes.
- Why this job: Be part of a mission-driven team making a real impact while using cutting-edge technology.
- Qualifications: Experience in software development across various stacks; management experience is a plus.
- Other info: Opportunity to shape the future of AI in social services and work with a diverse team.
The predicted salary is between 43200 - 72000 £ per year.
We take care of everyone who works here with everything from coaching to personal budgets and pay highly competitively. We’re quickly expanding the breadth of our product offering at Beam with revolutionary, AI-powered products that have the potential to transform the effectiveness of caseworkers and social workers globally.
We’ve already seen incredible growth from our MagicNotes product, which is helping case workers save over 8 hours a week of admin. Our usage has increased drastically over the last few months, and we are now processing 1000+ hours of audio from caseworkers a week.
We’re looking for a Lead Software Engineer, reporting to the CTO, with a product mindset and a passion for AI to lead one of our product teams to help build the future of Beam with the right technologies. We want engineers who want to take responsibility for the product they are building and take part in every part of the product creation.
Key Responsibilities:
- Lead a team of talented engineers to build out our AI offerings in MagicNotes - from process to mentoring to technical architecture.
- Help build our technology for the future - be it infrastructure or front-end.
- Work with product, design, commercial and analytics to figure out what new features to build within our product.
- Build internal tools for our team to help as many people as efficiently as possible.
- Use the latest generative AI tooling to empower our caseworkers to focus on what matters, helping those in need.
- Run the team as you see fit and bring in other great engineers from companies to build an amazing team.
- Look for opportunities to integrate more AI into our core offerings.
- See your features used by people who really need them and receive amazing feedback for building these critical features.
Qualifications:
- Wants to move into management or has management experience and is keen to build a high-performance engineering culture.
- Breadth of experience across infrastructure, backend and frontend technology stacks.
- Experience with Ruby on Rails, Turbo, Phlex, AlpineJS, TailwindCSS, AWS, PostgresSQL.
- Worked in complex software systems - both front-end and back-end and understands the importance of good data structures, a scalable architecture and constantly evolving tech stack.
- Cares about the “right tool for the right job” and picks pragmatic options when building software.
- Enjoys working in cross-functional teams - PMs, UX, Designers and Data.
- Has a product mindset: cares about customer outcomes and wants to make data-informed decisions.
We are committed to advancing equity, diversity, and inclusion through our work as an organisation, and that starts with the team we build. 53% of the people we support are from global majority backgrounds and 17% have disabilities.
Benefits:
- Access to therapy, coaching, classes & content.
- Annual company festival to build a great Beam culture.
- 1:1 workplace coaching with More Happi.
- Discounted bike and accessories with Cyclescheme.
- Discounted tech products with Techscheme.
- Generous Holiday - 25 days plus 3 additional days over the Christmas period + bank holidays.
- Pension scheme where we contribute 3% of your salary and you contribute 5%.
- Your own financial well-being coach, through Bippit.
Lead Software Engineer - Data employer: Beam
Contact Detail:
Beam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - Data
✨Tip Number 1
Familiarise yourself with the technologies we use, such as Ruby on Rails, AWS, and PostgresSQL. Having hands-on experience or projects showcasing these skills can set you apart from other candidates.
✨Tip Number 2
Demonstrate your product mindset by preparing examples of how you've made data-informed decisions in past projects. This will show us that you understand the importance of customer outcomes.
✨Tip Number 3
Highlight any experience you have in leading cross-functional teams. We value collaboration, so sharing specific instances where you've worked with PMs, UX designers, and data analysts will be beneficial.
✨Tip Number 4
Show your passion for AI and its applications in software development. Discuss any relevant projects or ideas you have for integrating AI into products, as this aligns closely with our mission at Beam.
We think you need these skills to ace Lead Software Engineer - Data
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with AI technologies and the tech stack mentioned in the job description. Emphasise any leadership roles or projects that demonstrate your product mindset.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it can transform social work. Mention specific examples of how you've led teams or projects that align with Beam's mission and values.
Showcase Your Technical Skills: Include a section in your application that outlines your proficiency with the technologies listed, such as Ruby on Rails, AWS, and PostgresSQL. Provide examples of how you've used these tools in past projects.
Demonstrate Your Product Mindset: In your application, highlight experiences where you made data-informed decisions or worked closely with cross-functional teams. This will show that you understand the importance of customer outcomes and collaboration in product development.
How to prepare for a job interview at Beam
✨Show Your Passion for AI
Make sure to express your enthusiasm for AI and how it can transform the industry. Share examples of how you've previously integrated AI into projects or how you envision using it in future developments.
✨Demonstrate a Product Mindset
Be prepared to discuss how you prioritise customer outcomes in your work. Highlight any experiences where you made data-informed decisions that positively impacted a product's success.
✨Highlight Cross-Functional Collaboration
Since the role involves working with various teams, share specific instances where you've successfully collaborated with product managers, designers, or data analysts. This will showcase your ability to thrive in a team-oriented environment.
✨Discuss Your Technical Breadth
Given the diverse tech stack mentioned, be ready to talk about your experience with different technologies like Ruby on Rails, AWS, or PostgresSQL. Emphasise your understanding of scalable architecture and good data structures.
