👋 About us

At Pruna, we’re on a mission to make AI more efficient to build a better future.

While AIs from Big Tech are transforming our societies, for better or for worse, we're levelling the playing field by building tech that makes AI models as accessible and sustainable as possible.

After years of research on efficient ML we decided that the best way to spread our impact was to take it into our own hands. Each of us cares deeply about empowering people to maximize their impact while minimizing their carbon footprint.

🔍 Role Description

As a Data & Analytics Engineer at Pruna AI, you're in a full-spectrum position that merges the expertise of data engineering, analytics engineering, and revenue operations. Your days will be a dynamic blend of diverse responsibilities, including:

Unified Data Platform

• Iterate on the Design of the general data architecture and develop all the data pipelines

• Have ownership on picking the right technology, solutions, and vendors

• Approx. 15-20 data sources estimated, for now.

Growth Engineering & Trigger-Based Automation

• Design intelligent triggers that automate tasks and anticipate user needs, creating a seamless and proactive user experience.

Product Analytics &  ROI Simulators

• Integrate with our products to extract telemetry data, analyze insights, and cross-reference them with data from other business tools for comprehensive analysis.

• Develop ROI simulators to equip users with data-driven insights that confirm our value proposition

• Supported by the engineering team for frontend and backend integration

Tech, Revenue & Customers Dashboards

• Provide easy-to-understand, up-to-date dashboards for all team members.

• Partner with engineering to integrate telemetry data and create user-friendly product usage dashboards

• Help customers analyze their usage trends in a self-serve fashion

Useful Tech:

• Hosting Provider: AWS

• Infrastructure: Docker, Kubernetes, Terraform

• Datastore: PostgresSQL (RDS)

• Orchestration: GitHub Actions, Kestra or Lambda

• ETL: Airbyte

• Data Modelling: dbt or SQLMesh

• Data Visualization: Metabase

• Development: Python, SQL, Git

People you will work with

• Engineering Team: work with Software and ML teams on technical implementation of trackers, simulators, and dashboards relevant to our AI model deployments.

• GTM Team: collaborate closely with the GTM team to strategically implement and maintain data platforms for products and customers.

• Communication Team: Collaborate with the communication team to track distribution channels and strategies for our AI models.

🌟 Your Skills

You're a data engineer with a proven track record of tackling complex projects from the ground up. This experience has instilled in you the confidence and adaptability needed to thrive in the ever-evolving landscape of a startup.You understand the value of quick wins and iterative development, knowing that initial solutions may need refactoring as requirements evolve. You're comfortable taking calculated risks and making data-driven decisions based on your experience and insights.

We would love to see

Experience

• 3 - 7 years of as a data or analytics engineer with exposure to the modern data stack

• Proficiency in GitOps & Docker, along managing version control and environment provisioning entirely as-code (Terraform, GitHub Actions...)

• Experience in building & implementing a simple yet highly effective data stack from the ground up (events & triggers-driven, mostly).

Core skills

• Understanding of core tech and business concepts, including AI model deployment pipeline and customer pipeline

• A constant desire to learn about new technologies and explore their potential applications for data analysis and automation

• Excellent communication skills (written and verbal) to collaborate effectively with cross-functional teams (engineering, marketing, sales)

• Fluency in English

It is a plus if you have

• Experience with designing automation processes

• Experience developing ROI simulators and dashboards

• Experience with telemetry data integration

We’d love to hear from you — even if you don’t meet 100% of the requirements.

⚖️ Expected Salary

We pay top market rates based on seniority and location, leveraging publicly available data that we share with you during the process. We are also working towards competitive and useful benefit packages.

🛤️ Recruitment process

The recruitment process consists of 4 interviews to check the expectations, skills and team/culture fit of the candidate.

1. Intro Call - We have a chat to get to know you, discuss your expectations, and give a feeling of who we are. [~30 min call]

2. Challenge interview - Depending on the role you applied for, we will dive together into a task that is representative of the work that you would be doing at Pruna AI. We also dig into your experiences, knowledge and skills that are important for the role you applied for.[~1 hour call]

3. Meet the team - You will have the chance to meet the team and get to know better the everyday life at Pruna AI. [~1 hour call]

Accessibility note: To ensure that everybody who is interested in joining Pruna AI has equal opportunity and ability to start that journey, we have made sure our hiring process is flexible and accessible. From the application to interviews, our team will adapt to your needs and what works best to help you show your best.

💜 Our Values

We care deeply about the organization we are growing to achieve our goal of making AI accessible and sustainable. There's many ways we could manage our people and work, and it will evolve over time, however we wanted to share the following main aspirations we want to uphold:

🧠 Decide Wisely

Make rational, customer-focused decisions based on collected insights and experiences.

🤝 Trust by Default

Assume good intentions, communicate transparently and precisely, a and create a safe space for collaborating.

🌍 Foster Inclusion

Build an enjoyable and supportive workplace that values integrity, personal growth, diverse backgrounds and perspectives. Read our Code of Conduct for more info :)

🌱 Grow Together

Provide actionable feedback and credit to strengthen teamwork and collaboration.

🚀 Learn Relentlessly

Embrace adaptability in a fast-moving landscape to drive innovation and efficiency.