Engineering Manager, Elliptic

Salary not provided
AWS
Docker
Kubernetes
Scala
Redis
Terraform
Azure
Kinesis
Split
DynamoDB
Senior level
London
Elliptic

Blockchain analytics & crypto compliance platform

Open for applications

Elliptic

Blockchain analytics & crypto compliance platform

101-200 employees

B2BCryptocurrencyEnterpriseComplianceAnalyticsCyber SecurityBlockchain

Open for applications

Salary not provided
AWS
Docker
Kubernetes
Scala
Redis
Terraform
Azure
Kinesis
Split
DynamoDB
Senior level
London

101-200 employees

B2BCryptocurrencyEnterpriseComplianceAnalyticsCyber SecurityBlockchain

Company mission

Elliptic’s mission is to protect its customers from financial crime in crypto assets.

Role

Who you are

  • Build strong teams founded on trust and empowerment
  • Celebrate failure and share learnings widely
  • Care deeply about your team members' growth and find reward in their development
  • Have strong opinions about engineering management best practices, and relish the debate about what works in given situations
  • Build lasting personal relationships based on trust, vulnerability, and openness
  • Use data to make decisions and understand what is slowing your teams down and what they need to succeed
  • Are not afraid to fail, experiment often and learn quickly
  • Are keen to learn new technologies and challenge existing tools, methodologies, processes
  • Has some experience as a line manager and is passionate about mentoring and helping team members grow and succeed
  • Is a data engineer at heart who is eager to split their time equally between hands-on technical work and team management
  • Has experience in system architecture and design, particularly in distributed systems
  • Is interested in solving problems with functional programming. A background in Scala or similar languages with a desire to learn Scala if not already experienced
  • Has experience with Amazon services such as IAM, DynamoDB, Kinesis, and Lambda (or equivalent Google Cloud/Azure services)
  • Experience managing infrastructure with Terraform or Cloud Formation
  • Is comfortable collaborating with senior stakeholders from across the business
  • Knows how to attract top engineering talent and build efficient, objective hiring pipelines

Desirable

  • Worked in a cloud-native environment, ideally AWS
  • Experience managing data engineering teams
  • Has gone through a scaling phase at any time in their career
  • Experience in designing, delivering, and maintaining data processing systems; well-versed in Big Data tools and Data Lakehouse platforms
  • Experience using caching layers such as Redis
  • Experience running applications in containerised environments (e.g. Docker, Kubernetes, Helm)
  • HODLs some crypto

What the job involves

  • Our engineering platform sits at the heart of the business and forms the backbone of every product our customers rely on
  • You will join our team of experienced and passionate engineers who are not afraid to fail and enjoy tackling difficult problems head-on
  • Openness is one of our core values at Elliptic, especially in our engineering teams, where we strongly encourage engineers to challenge convention and find unique and innovative solutions to our customer's problems
  • You will quickly see your impact on the wider business as we value lean thinking and launch our ideas early and often
  • You will manage engineers across several cross-functional teams, providing them with the support and guidance they need to grow while giving them the space to make decisions and own their functional areas
  • Strategise on the future of engineering at Elliptic with your peers across the organisation
  • Provide support to your engineers, sharing your experiences and current best practices
  • Stay across all aspects of your teams, fostering a healthy culture to ensure that expectations are set and work is delivered
  • Lead system design and architecture development, steering system implementation and ensuring its alignment with our architectural vision
  • Think about how to solve hard problems and weigh up the pros and cons of different approaches against a variety of non-functional requirements, including data quality and costs
  • Promote knowledge-sharing forums across engineering to ensure best practices
  • Understand each team member's goals and help them establish and follow career development plans
  • Stay up to date and maintain a good understanding of each team's work so that you can effectively support and represent them throughout the business
  • Reporting To: Tara Hofton

Salary benchmarks

Our take

The rise of cryptocurrency has been dramatic. As more established financial institutions move into the sector, these companies need to understand when they can let transactions run — and when they should intervene.

A key issue with most cryptocurrencies is that their nature means they can be used by criminals for illicit activities, such as money laundering. Elliptic’s focus is on tackling financial compliance, and it has developed machine learning tech that screens transactions to identify suspicious patterns and dubious transactors. It offers an integrated suite of products for financial institutions to screen crypto-flows, which it analyses for links to illicit activity such as money laundering, terrorist financing and other financial crimes.

Elliptic’s dataset has been developed since 2014 and includes over 20 billion data points and covers 148 assets, representing 98% of the global trading volume. Two-thirds of global crypto volumes are transacted on exchanges that use Elliptic’s products, highlighting the company's leadership position in the market.

It works with firms like Coinbase on their internal anti-money laundering compliance, and with other big-name clients such as Santander, Revolut, Genesis, and Stellar. Elliptic is currently working with several undisclosed leading research and trading desks to develop its product to maintain its strong position.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

41% female employees

-21% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Oct 2021

$60m

SERIES C

Feb 2020

$5.6m

SERIES B

Total funding: $100.6m

Company benefits

  • Share options
  • Health insurance
  • Flexible & remote working
  • Individual training budget of USD 1,000 a year
  • LinkedIn Learning account
  • Quarterly offsites

Company values

  • Empowerment
  • Positive Impact
  • Openness
  • Creating Connections
  • Curiosity

Company HQ

City of London, London, UK

Founders

James Smith

(Board Director)

Computer Science PhD in Natural Language Processing from Oxford. Current Mentor at Seedcamp.

Adam Joyce

(Chief Architect)

Mathematics PhD from Imperial College. Previously a quantitative analyst at Liquid Capital.

Tom Robinson

(Chief Scientist)

Physics PhD from Oxford. Previous CEO of MOF Technologies, a company working towards clean energy.


People progressing

Joined as a Software Engineer in 2018 and was promoted to Lead Software Engineer in 2019. They have since been promoted to Principal Software Engineer.

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