Engineering Manager, Tractable

Salary not provided

+ Equity

AWS
Docker
Kubernetes
TypeScript
Python
Kafka
Node.js
Tensorflow
PyTorch
Senior and Expert level
London
Tractable

AI for accident & disaster recovery

Job no longer available

Tractable

AI for accident & disaster recovery

201-500 employees

B2BArtificial IntelligenceInsuranceComputer VisionMachine Learning

Job no longer available

Salary not provided

+ Equity

AWS
Docker
Kubernetes
TypeScript
Python
Kafka
Node.js
Tensorflow
PyTorch
Senior and Expert level
London

201-500 employees

B2BArtificial IntelligenceInsuranceComputer VisionMachine Learning

Company mission

To use the latest breakthroughs in AI to solve real-world problems and improve people's lives globally.

Role

Who you are

  • 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 the job involves

  • 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
  • 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

Salary benchmarks

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

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.

Insights

Top investors

Some candidates hear
back within 2 weeks

33% female employees

-25% employee growth in 12 months

Company

Employee endorsements

Autonomy

"At Tractable, we hire smart people and give them a lot of trust and autonomy. You will work together with your manager to set stretching objectives..."

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 values

  • Persevere - We are solving big problems: be persistent, be resourceful, find solutions
  • Be results obsessed - Focus on outcomes that matter and own them
  • Always challenge - Challenge the status quo: give your opinion and be open to other opinions
  • Help colleagues succeed - Help others to be successful; spend time listening to your colleagues
  • Be exceptional at what you do - Be outstanding at what you do, always expect the best from yourself and those around you

Company HQ

Old Street, London, UK

Founders

They started their career in asset management. They have a Ph.D. in Computer Science from Imperial.

They have experience as a Research Assistant, having gained a MPhil in Computer Science/Machine Learning at Cambridge university.


People progressing

She joined as an Intern and was promoted to Deep Learning Researcher after 7 months. She is serving as the Head of AI Automotive Inspection Products as of February 2022.

He joined as a Software Engineer, and was promoted to Engineering Project Lead after 2 months. He was promoted again to Staff Software Engineer in March 2022.

Diversity & Inclusion at Tractable

  • We sponsor 'Women in Tech' events and are active in the community
  • We are providing support and awareness for both mental and physical health in the workplace

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