Engineering Manager

What you will do

We play a key part in bringing our AI to life. We collaborate closely in cross-functional teams,  to design, build and deliver innovative E2E features that use the  AI models to solve real world problems in our products. 

We work in small product feature teams consisting of Software Engineers, Machine Learning Researchers, Designers and Product Managers. We build our teams to have all the expertise and context needed within the team to solve problems and build world-class products. We love collaboration and moving quickly. We enjoy using modern open-source technology and engineering best practices.

Engineering managers  play an active role in shaping the future direction of the product and technology of tractable. You will drive the technology collaboration across teams increasing delivery velocity collaborating on the delivery of our core micro services. 

We love to experiment and innovate and we create the opportunities to try new ideas. Engineering managers drive engineering excellence in Traceable using data to drive focus on the key areas for improvement in our products and development lifecycle.

If you join us, you will be working out how we can best help millions of people around the world recover faster from an accident.  We’re proud to see our product have a massive impact on people daily… and we know this is just the beginning.

The AI Review Team

The AI Review product automates & streamlines the claim settlement process between insurers and bodyshop once an initial estimate has been created with the power of AI. Traditionally, the review & settlement process of a claim (which comes after a repair shop sends the estimate to the insurance company) is labour-intensive and manual. Our visual AI is able to understand the nature and amount of damage in an accident by analysing the vehicle’s photos, making it possible to automate & optimise this process. 

 

AI Review is an ML-first product team (composed of Product, Engineering & Research) in charge of optimising all of the related review use cases to make the process efficient. This involves building highly accurate AI-driven triage and prioritisation mechanisms, optimising the time taken by human adjusters to review a claim with the help of AI. Levering AI in order to improve the negotiation process between bodyshop & insurers.

It’s a varied role and someone who enjoys taking autonomy and ownership will thrive in this position. It involves working together with the Product team to understand our users, speaking directly to our users to get their feedback and understand their workflows, communicating with internal teams about how we can build out our product, and championing best practices within the team. It will suit someone who enjoys introducing new processes, best practices, and driving improvements!

 

As an Engineering Manager in this team, you’ll be responsible for designing, developing and maintaining a distributed software system that processes claims at scale.

 

You will:

• Work in a cross-functional team to develop our AI review platform backend in a scalable and sustainable way; our systems process hundreds of thousands of claims every month, and we are planning to continue scaling
• Contribute to to the technical strategy for the product & Tractable
• Drive the capacity planning and delivery of the backlog
• Deploy and support our production applications (includes on-call rotations)
• Partner with product managers, researchers, data scientists and other engineers to maximise the impact of AI models
• Understand our customer feedback and increasing the value we’re delivering to our customers
• Gather requirements for new features in collaboration with our product managers
• Develop and promote engineering best practices throughout the team
• Coach and mentor junior engineers
• Share your knowledge with the team

Tech Stack:

We're tech agnostic when hiring so you don't need experience with this stack to apply. Most of our team had little experience in this stack before joining us. If you are not familiar with this stack, then it's a great opportunity to join our team and learn new technologies (and we'll support you with that).

• Python/Tensorflow/Pytorch
• Typescript/Node.js
• PostgreSQL
• Kafka
• Docker
• Kubernetes
• AWS

What you need to be successful

• 4+ years’ experience as a 2nd line People Manager. 
• A track record of mentoring team members & driving team processes
• Excellent communication and interpersonal skills to be able to liaise with internal teams
• Previous programming experience preferred (bonus if Python or Node.js)
• Previous experience with software architecture & API design
• Familiarity with the software development lifecycle and CI/CD best practices
• Prior experience working with machine learning is a big bonus but not required
• Someone who cares about quality, from the first line of code to the impact on the end user
• Someone who thrives on ownership and autonomy, with self-drive to spot where we can improve  

What's in it for you

Generous financial reward for your effort

• Twice a year compensation reviews
• Generous equity package

Time off and flexible working

• 23 days paid annual leave + bank holidays
• Ability to work from abroad for up to 6 weeks/year
• Competitive maternity + paternity leave
• Flexible hours and hybrid working 
• Additional leave to support you when you need it, including sick pay, compassionate leave, or paid time-off to recharge after an intense work period

Support for your health and wellbeing

• Mental health and career coaching through Sanctus
• Free annual Headspace subscription

Additional perks 

• L&D budget to use on Learnerbly (our learning platform)
• Meal Vouchers

 

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