Backend Engineer, Causal
+ Equity
A new way to think and work with numbers
Job no longer available
A new way to think and work with numbers
1-20 employees
Job no longer available
+ Equity
1-20 employees
Company mission
Causal is a tool for performing calculations, visualising data, and communicating with numbers. We take the good parts of spreadsheets and combine them with the good parts of programming, to make number-crunching fast, collaborative, and accessible to everyone.
Role
Who you are
- 5+ Years of Software Engineering Experience: You have a proven track record of building complex products over at least two years in the industry
- Startup Savvy: You've gained experience working at a Series A to C startup, thriving in fast-paced and dynamic environments
- Backend Expertise: You have practical experience with our backend technologies—including Node.js, TypeScript, Go, and Python. Ideally, you're also familiar with the modern data stack (e.g., dbt, Fivetran)
- Strong Understanding of Algorithms: You have a solid grasp of algorithms and data structures, particularly graph algorithms. You're proficient at processing and aggregating information from various sources (3rd party systems and warehouses)
- Versatile Coding Skills: You write clean, maintainable, and performant code but can also move quickly and creatively when the situation calls for it
- End-to-End Development: You're comfortable taking features from concept to production, handling everything from defining the technical specs to supporting features once live
- Strong Educational Background: You hold a Bachelor's degree in Computer Science or another quantitative field
- Thrive in Ambiguity: You excel in dynamic environments where not everything is fully defined. You confidently navigate uncertainty, take initiative, and make decisions that drive projects forward
What the job involves
- Are you a senior backend/data engineer ready to make a significant impact? At Causal, we're on a mission to build the most flexible and user-friendly number-crunching tool ever created—and we want your help!
- Innovate the Future of Data Tools: Tackle complex engineering challenges as we develop our spreadsheet-esque interface that’s backed by a performant calculation engine and data pipelines connected to third party systems. Create a platform that's incredibly powerful, yet highly intuitive
- Scale Computation and Performance: Take on the exciting challenge of enhancing the capacity, throughput, and speed of our calculation engine. You'll optimize and scale our systems to handle increasingly complex datasets, ensuring lightning-fast performance and robustness as we grow
- Your work will directly influence how companies and individuals interact with our platform and as a result make critical decisions about their businesses
- Engage with cutting-edge technologies and solve problems that keep you at the forefront of engineering and design
- Join a passionate team that values innovation, creativity, respect and mutual growth
- Deeply Understand Our Product and Customers: Immerse yourself in every aspect of our product and grasp the nuanced needs of our customers to deliver exceptional solutions
- Transform Requirements into Excellence: Convert functional requirements into clean, maintainable, and high-performance code that is well-tested and robust
- Shape Our Engineering Future: Establish and refine processes that ensure the long-term success and scalability of Causal's engineering team
- Lead and Innovate: Play a crucial role in defining the direction of Causal's product, company, and culture, making a lasting impact on our journey forward
Our take
Causal is a tool for performing calculations, visualising data, and communicating with numbers. Causal takes features from spreadsheets and combines them with key parts of programming, to make number-crunching collaborative and accessible to everyone, isolating key inputs and outputs of the model and visualising the dependencies within the model itself. Causal’s vision is to substitute spreadsheets as the de-facto way to work with numbers on a computer.
It is critical for an operator to identify and understand the levers in its business and gut instincts are no longer sufficient to drive businesses forward efficiently. A few key limitations to spreadsheets have also emerged over time, like live data integration, visual sensitivity analyses, accessibility and understandability for non-experts. Causal’s goal is to help its customers in a complex endeavour like building an effective model by making it a little bit simpler, allowing the client to visualise its business and then share it so that others can understand it and provide input.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (2 rounds)
Mar 2022
$20.2m
SERIES A
Apr 2021
$4.2m
SEED
Total funding: $24.4m
Company benefits
- Unlimited holidays
- WFH stipend to support your home office needs
- Daily Lunch Stipends
- Semi-Annual Company Retreats
Company values
- Autonomy
- Responsibility
- Transparency
Company HQ
London, UK
Articles
Leadership
Taimur Abdaal
(CEO)Previously first employee at Retool (YC S16) and a Data Scientist at Nested.
Lukas Köbis
(CTO)Previously a Software Engineer at WhatsApp.
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