Analytics Engineer

• Transform how the legal industry operates with the way you use our data

• Building all your own pipes transformations and flows - working with a modern data stack of your choice (inc. dbt) to transform data into business value

• Autonomously work from deep data analysis to providing strategic commercial and customer insights

Your purpose in our mission

Weve raised $17.8 million in Series A funding led by Google Ventures and joined by Khosla Ventures. They believe in our vision that the law should be accessible to everyone. We need you to enable a self-service data culture where teams can access insights independently.

Your manager and team

Our org structure is made up of pods with distinct areas of focus to keep us all working on the most impactful things for our customers all of the time. Some of our team members work across multiple pods. Our structure was conceived with impact autonomy and velocity in mind and wed love to share more with you throughout our interview process. Initially reporting to Alex Denne our Head of Growth (PLG) youll be empowered to elevate Genie through the power of data. Both Alex and Nitish our Co-Founder & CTO will collaborate with you and enable you when you need them to and will inspire you to push yourself outside your comfort zone.

This is what youll be doing

As an Analytics Engineer at Genie AI youll get the chance to immerse yourself within the world of law legal contracts and AI at a fast paced and autonomous start up. Were big enough to disrupt the legal industry but small enough that you can make a massive impact on the team. Some of your key day to day duties will include:

• Design build and maintain the data models which power business insights

• Develop metrics frameworks and dimensions that standardize how we measure business performance

• Work with stakeholders across marketing sales product and operations and machine learning to translate business questions into data solutions

• Creation of a unified customer data model that connects behavior across platforms and enables personalization within both growth and marketing comms and product/ML via AI

• Enable key stakeholders to share and present data insights across the business

• Enabling robust experimental results that removes opinion from discussion - this will ensure high impact growth / work is done

• Build and maintain a semantic layer that makes data accessible to non-technical users

• Help establish data governance and quality practices as we scale

• Create documentation and training to enable self-service analytics across teams

• Implement and maintain dbt models that transform our raw data into reliable tested datasets

This is how well set you up for success and the outcomes we expect from you

Over your first 90 days you can expect us to help point you in the right direction to set you up for success. During the interview process we can talk you through a high level overview of your 90 day plan.

By the end of your first six months we expect you to be:

• Month 1: Understand business needs audit data sources (Mixpanel Segment MongoDB BQ etc.) map stakeholder requirements and develop a roadmap towards a simple but modern data stack. Youll create a few high-value dashboards by working and playing with the data we already have.

• Month 2: Implement core data models in BigQuery (probably) or Snowflake/Databricks creating initial dashboards establish a metrics framework and set up dbt transformations for key entities

• Month 3: Enable self-service analytics implement automated reverse ETL for marketing activation campaigns refine dashboards based on feedback and deliver actionable insights to growth sales finance and product stakeholders specifically robust enablement of pod by pod self-serve automations

Well continually develop and measure success on the below criteria:

• Insight Activation: Business decisions across growth product sales and strategy are consistently made using data from our analytics platform

• Self-Service Analytics: Teams can answer their own data questions without your involvement using well-designed dashboards and data models

• Single Customer View: Creation of a unified customer data model that connects behavior across platforms and enables personalization within both growth and marketing comms and product/ML via AI

• Metrics Standardization: Core business metrics are clearly defined documented and consistently calculated across the company (grey areas are known to everyone)

• Data Culture: Increased use of data in decision-making with more teams requesting access to and using analytics tools

• Technical Foundation: Implementation of a sustainable documented modern data stack that can evolve with our business needs

We are a start up in an exceptionally dynamic stage of our growth. We are a customer and employee led organisation. What this means is that we adapt to our customers needs and the problems were solving today could be very different in six months or even by the end of this recruitment process. We also listen to our team as we empower you to have full autonomy of your role - youre the expert. You should expect to work with us on how your role develops grows and changes throughout your time at Genie.

It can be tough here because

• We dont structure your work for you. We give you the what and you come up with the how

• We dont try to get things perfect the first time. We get things to good enough and then we continuously iterate

• This is a generalist analytics role - we need you to be good at a lot of data areas rather than specialising in one

But we think youll love

• The autonomy and trust we give you to deliver your best work

• Learning from some of the brightest minds in the field of AI

• The exhilaration of a fast pace start up

The skills you need to succeed in this role

The ideal candidate will have 2 years experience and:

• Advanced SQL: Expert-level SQL for complex data modeling and transformation

• Data modeling/transformation: Strong experience with dbt for transforming raw data into analytics-ready datasets

• Cloud data warehouses: Experience with BigQuery (preferred) or Snowflake/Redshift

• Business communication: Proven ability to translate data insights into business outcomes

• Data visualization: Experience creating intuitive dashboards that tell clear data stories

• BI tools: Proficiency with modern tools like Looker Holistics PowerBI or Tableau

• Metrics definition: Experience defining standardized business metrics and dimensions

• Python: Basic programming skills for data transformation and analysis

• Version control: Experience with Git for managing data transformation code

• Product Analytics: Experience with tools like Segment Snowplow Mixpanel or Amplitude

Nice to have:

• Cloud platforms: Familiarity with GCP (preferred) or AWS services

• Data quality: Experience with testing and validating data transformations

• ETL/ELT tools: Familiarity with tools like Fivetran or Stitch

• Reverse ETL: Understanding of how to activate data in marketing tools

(Dont worry about ticking every single box on the list to be considered for this role.)

The data challenges well solve together

Were excited to discuss with you the specific data problems were working to solve from unifying user journey data across multiple touchpoints to creating actionable customer segments that drive growth.

Youll help us answer questions like:

• What behaviors predict our highest-value customers

• How do we measure product adoption across 150000 companies and a range of AI features

• What engagement patterns lead to contract renewals

Youll work with data from Mixpanel MongoDB Segment Stripe and more to build a unified view that powers everything from marketing campaigns to product decisions.

This role offers the rare opportunity to shape our entire data strategy while delivering immediate business impact. Wed love to dive deeper into these challenges with you during our conversations.

Unleash your magic: our interview process

• Step 1: Meet our Head of Talent Acquisition Char to assess your motivations and baseline skills

• Step 2: Complete our take home task

• Step 3: Business / Analytics interview with Alex Denne (our Head of Growth) and Will Bond (our Global Content Marketing Lead)

• Step 4: Engineering interview with Nitish Mutha (our Co-founder & CEO) and Ana Robalo (our Frontend Engineer)

• Step 5: For Lead level roles and above we collect blind references to set you up for success. These insights help us ensure a smooth transition into our team and foster meaningful collaboration between you and your manager from day one.

We cant wait to meet you! Bring your authentic self and get ready to explore our culture team events and big mission. Were excited to discover what makes you and us unique.

Our benefits

Heres just some of the benefits you can look forward to when you enter the Genies lamp:

• Generous Stock Options: We want all our genies to share in our success

• Private healthcare: To help keep you fit as a fiddle

• Fully Remote Working: Work from anywhere your heart desires

• Unlimited book budget: Dive into an unlimited budget for business law or technology books

• Home Office Setup: Equip your home office with the best a top-of-the-range laptop monitor wireless keyboard mouse and a comfortable office chair. Your workspace will be as splendid as a royal palace

• Learning and Development Budget: Each Genie gets an individual 500 L&D budget annually plus five days off for any job specific learning adventures

• Unlimited Holiday: Take as much time off as you need to recharge your batteries

• Parental Leave: Both genie parents get enhanced leave to welcome their little genies into the world

• Free access to Genie: For you to create negotiate and collaborate on legal documents in real time on one platform!

About Genie AI

Genie AI is a machine learning startup with a mission to enable everyone to draft quality legal documents. Were shaking up the legal world and flipping the business model on its head!

Think of what GitHub did with open source code Instagram and TikTok with entertainment Airbnb with hospitality and Uber with travel Genie AI is doing that with legal contracts. Were conjuring up a community-based AI law platform thatll change the game. Join us and lets make some legal magic together!

• 100000 companies use Genie AI today - weve been growing exponentially!

• Were funded by the worlds top investors with significant runway - and were growing the team

• Weve collaborated with Oxford University and Imperial College London to co-author research papers on explainable AI

• According to Forbes were also rated one of the top 29 AI startups in the UK

• Were a Sunday Times Best Places to Work Award Winner 2024

• Were backed by top legal pedigree from Lord Neuberger to representing the UK on multiple Ministry of Justice trade missions

• Our customers save on average 15000 on legal fees per year with Genie

• This isnt just a SaaS product - were redefining the business model of law

Ready to grant wishes and disrupt a 750bn industry Click apply and join us in creating a world of digital wonders!

At Genie were committed to creating a diverse environment. Whilst were on the cutting edge of innovation its all about the people. We embrace differences and hire based on merit giving equal consideration to all applications regardless of gender background and race.

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