Hook's mission is to reinvent how businesses engage with their customers by providing machine-learnt insights to help companies radically improve customer loyalty and revenue forecasting using data.

We've raised $multi-million in funding from some of the top investors in Europe and the US and have an enviable list of customers that we're working with including some of the fastest growing companies in the world. We're looking for ambitious people that want to be part of our meaningful vision of changing how businesses engage with their customers, and of building one of the world's leading workplaces for great people along the way.

One of the foundational technical challenges at Hook is to create self-service data and ML pipelines for our customers which surface useful business outputs like churn and upsell prediction.

Responsibilities:

You will wear many hats in your engineering duties. Your day-to-day will include:

Working in a team with technical and non-technical colleagues to design and build product features that add value to our customers
Working across the product - and writing clean, well-tested code
Own significant parts of our product architecture and propose and lead new improvements
Reviewing other software engineers code and provide structured feedback
Designing our engineering processes and patterns to be the best for our team
Monitoring system performance and ensure everything is up and running
Designing our data schemas to suit the needs across the business

There's a lot going on - you'll be building a brand new category of SaaS product! The more you want to be involved, the more you will find there is to do and the more impact you will have on our joint success.

Requirements

We're looking for an ambitious self-starter who wants to be part of an early-stage company full of amazing talent and with a global vision.

Experience working on scalable data pipelines and data infrastructure
Understanding the product/business requirements and building features within the data pipeline to deliver value to customers
Experience working in taking data products through different development environments into Production
Selecting and implementing appropriate data storage solutions based on use-case and cost-efficiency
Understanding features required by machine learning models and ensuring data pipelines adapt to ML requirements
Building appropriate data monitoring solutions that help detect and recover from data issues
Excellent communication skills, with the ability to effectively collaborate and convey ideas to diverse stakeholders
The ability to pick up and use third party APIs and tools
Experience working with Python and different databases and data platform tools

Desirable: A good understanding of cloud technologies

Benefits

💸 £60,000 - £105,000 (depending on experience)

🏖️ 27 days holiday (option to buy and sell holiday) + bank holidays

📈 Generous stock options

🏥 Private health insurance so you can get the best care you need

🧘 Flexible monthly wellness allowance that you can use monthly on things like gyms, yoga, mental health & healthy food

📚 Annual learning & development budget for every employee

🏢 Flexible working - we'll all come together two days a week but otherwise you can work from home or come into our awesome office in Liverpool Street

💻 The best equipment for everyone to work with

Our founder and team are incredibly passionate about creating a company culture that is diverse, inclusive, productive and enjoyable for all our colleagues. As part of a growing start-up team, we expect a lot from you and will work hard to make sure you have everything you need to be at your best.

Apply for this job

At Hook, we embrace diversity in all its forms and are committed to creating an inclusive workplace where everyone feels valued and respected. We encourage applications from individuals of all backgrounds, experiences, and perspectives, as we believe that a diverse and inclusive team fosters innovation and contributes to our collective success. If you share our passion for excellence and want to contribute to a workplace that celebrates diversity, we encourage you to apply. We are an equal opportunity employer.

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