👋 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.

🙏🏾 Your Future Team

The Go-to-Market Team plays a pivotal role in bringing all revenue-generating elements of our company together. Fueled by a successful launch through Nvidia's Inception Program and the acquisition of our first customers, we're now getting ready for the next step: building the foundation for data-driven growth.

In the GTM Team, we thrive through the following values, and being eager to embody them is deeply required to enjoy this role.

We’re all Product Advocates. Also simplifiers, trusted advisors, lifelong learners and tech-savvy people!

We’re an Integrated Team. We sell value before and after the signature. And you are responsible for implementing what you sell. It's your responsibility.

🔍 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

"We don't have volumes so exitSnowflake or Spark. Let's just keep things simple for now."

• Design 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

"We want something dynamic and easy to maintain so... Sorry Airflow, this one is not for you."

• Work hand-in-hand with the Team to define business & product activation rules.
• Design intelligent triggers that automate tasks and anticipate user needs, creating a seamless and proactive user experience.

Product Analytics &  ROI Simulators

"Let's dig into our usage data, take the outputs to prototype transparent ROI calculators and watch out who's our "ideal customer profile"

• 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

Revenue & Customers Dashboards

"We don't wanna use off-the-shelf dashboards from the SaaS products we're using and prefer to centralize all dashboards in a unique place."

• 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

Tech Stack: (subject to changes)

• 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

• GTM Team: collaborate closely with Senior Growth Manager and GTM Lead on the strategic implementation and maintenance of our internal data platform for product and customer analytics and automation
• Engineering Team: work with MLOps Engineers and Software Lead on technical implementation of trackers, ROI simulators and other dashboards

🌟 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 business concepts, particularly revenue generation and customer success metrics
• 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 intelligent triggers and 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. Confirmation Interview - We dig into your experiences, knowledge and skills that are important for the role you applied for. [~1 hour call]

3. Challenge - 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. [~1 hour call]

4. 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.