Senior Software Engineer, Tractable
Customer Engineering
AI for accident & disaster recovery
Job no longer available
AI for accident & disaster recovery
201-500 employees
Job no longer available
201-500 employees
Company mission
To use the latest breakthroughs in AI to solve real-world problems and improve people's lives globally.
Role
Who you are
- Demonstrated track record of extensive experience and expertise in software development
- Exceptional coding skills in object-oriented programming languages, particularly Python and/or Typescript
- Deep understanding and practical knowledge of CI/CD best practices and proficiency in leveraging AWS cloud-native technologies
- Extensive hands-on experience in working with REST protocols, developing web applications, architecting APIs, and managing relational databases
- Outstanding communication and interpersonal skills, with the ability to effectively collaborate and convey complex ideas to diverse stakeholders
- Proven ability to excel in an autonomous and dynamic environment, adapting quickly to evolving objectives and delivering high-quality results
- Strong ownership mentality and self-drive, demonstrating an unwavering commitment from the initial line of code to the direct impact on end users
- Successful track record of implementing and elevating coding standards and best practices within a mature codebase, optimizing efficiency and maintainability
What the job involves
- Lead and orchestrate cross-functional collaboration between AI researchers, product engineering teams, and business development stakeholders to drive innovation and strategic growth
- Architect and implement sophisticated monitoring systems to proactively detect and resolve issues, optimize performance bottlenecks, and establish comprehensive metrics across our expansive service landscape
- Demonstrate your seasoned coding expertise by developing advanced solutions on our platform to facilitate seamless onboarding and integration for new customers, leveraging your deep understanding of industry best practices
- Take charge of streamlining and optimizing the end-to-end onboarding processes, collaborating closely with AI researchers and business teams to maximize efficiency and deliver exceptional customer experiences
- Elevate the overall quality and reliability of our services through the implementation of rigorous testing methodologies, robust automation frameworks, and continuous improvement initiatives, enabling safe and efficient deployment at scale
- Exhibit exceptional communication skills by regularly engaging with customers, providing clear and transparent updates on issue resolutions, and fostering strong client relationships to ensure their satisfaction and loyalty
Salary benchmarks
Our take
Accidents and natural disasters cause roughly $1 trillion of damage each year, so Tractable is tackling a massive problem.
Recovery typically starts with damage appraisal to assess how much it's going to cost and unlock the costs to rebuild. However, getting those appraisals takes a lot of time and this delays rebuilding. Tractable use AI and computer vision to do the same job ten times quicker.
The company initially focused on car damage and developed a customer base of major insurers such as Admiral, Aviva and Geico. This has served the company well as it expanded into adjacent verticals such as property insurance and auto salvage, where the same companies could apply Tractable's technology to their insurance products in those areas.
Following a substantial 2021 Series D funding round which saw the company exceed a $1 billion valuation, Tractable is now officially the UK’s first computer vision Unicorn company. This tremendous growth combined with the rapidly growing capabilities of computer vision points to a very bright future for Tractable.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Jul 2023
$65m
SERIES E
Jun 2021
$60m
SERIES D
Total funding: $179.9m
Company benefits
- Generous equity package
- 6 month salary reviews
- Flexible hours and 3 days WFH per week
- Generous maternity and paternity leave
- Ability to work from abroad for 6 weeks/year
- Access to mental health and wellbeing providers (Sanctus, Headspace)
- Pension scheme
- Private healthcare
- Learning and Development budget
- Learnerbly subscription
Company HQ
Old Street, London, UK
Leadership
Alex Dalyac
(CEO)They started their career in asset management. They have a Ph.D. in Computer Science from Imperial.
Razvan Ranca
(CTO)They have experience as a Research Assistant, having gained a MPhil in Computer Science/Machine Learning at Cambridge university.
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