About SQOR:

At SQOR.ai, we’re not just building an AI platform—we’re spearheading a full-blown revolution in how companies harness SaaS data for actionable business intelligence. With over 300 organizations already on board, 500+ KPIs tracked in real time, and 40+ tools seamlessly integrated, our groundbreaking Execution Score Algorithm (ESA) delivers the clarity leaders crave—from granular tool metrics to holistic company health—all without needing a data science team. If you’re ready to shape the future of performance insights and join a fast-scaling team that’s redefining what’s possible, come talk to us. Oh, and did we mention? We’ve set aside significant equity for those who share our vision and drive. Let’s transform the SaaS landscape together.

Watch the vision: https://youtu.be/Aff-rX9W_TE

Position Overview:

We are seeking a passionate Senior Data and AI Engineer that wants to make a giant difference in the industry. We are developing novel ways of extracting, analyzing and summarizing data collected from hundreds of SaaS tools. You will play a pivotal role in helping invent novel algorithmic solutions to data understanding, develop efficient systems using them, test and deploy them for our customers. The ideal candidate is a person who is able to come up with innovative ideas for our problems, develop and validate the techniques, implement them efficiently in Python , and communicate to the team and users on the benefits of those solutions.

Compensation:

The role offers approximately 1% equity, based on your involvement and contribution.

Position represents a long-term commitment to grow alongside our team. As we gain a little traction and raise capital, salaries will start to become available. We intend to provide some salary compensation by the beginning of Q2.

Key Responsibilities:

• Devise methods for qualitative and quantitative analysis of time-series data.
• Develop, validate, and test methods for time-series data forecasting.
• Apply techniques based on statistical analysis, traditional machine learning, as well as deep learning, to a variety of data-intensive problems.
• Develop LLM-based applications for helping users interact with complex data.
• Collaborate closely with the data integrations team to ensure efficient data flow into the database to feed our AI.
• Contribute to strategic discussions, offering insights derived from data trends.

Required Skills and Experience:

• At least 5 years of programming experience and at least 3 years using Python.
• Strong experience with data structures and algorithms.
• Experience with databases and ETL/ELT frameworks (SQL, MongoDB, BigQuery, Snowflake, etc.)
• Experience with analyzing time-series data and forecasting methods.
• Experience with Pandas and Scikit-Learn.
• Experience with training and deploying Machine Learning and/or Deep Learning applications.
• Excellent communication skills, capable of bridging technical and business perspectives.
• Communication skills to interface with customers, data science teams, and developers
• Research skills and intellectual curiosity to stay up-to-date with the latest publications in data science and AI.
• Proven experience in data engineering, data architecture, and software development
• Experience with cloud technologies such as AWS, GCP, or Azure a plus

Desirable Attributes:

• Strong foundation in data structures, algorithms, ETL/ELT and Machine Learning. (Snowflake and BigQuery a Big Plus)
• A degree in Computer Science, Data Science, Applied Math, or related field is a plus.
• Commitment to pull up the sleeves and contribute to the team in the best way possible.
• Ability to innovate in a flat startup data team hierarchy environment.
• Focus on creating user-centric solutions, acknowledging the vast array of SaaS tools and user needs.

What We Offer:

• A pivotal role in an innovative startup, shaping the future of business intelligence.
• Equity stake as a Co-Founder.
• A chance to help drive the growth with a company on the cutting edge of AI-driven business solutions.
• A collaborative and inclusive culture.

Why Join Us:

At SQOR.ai, we are not only developing a groundbreaking business intelligence software, but we are also on a mission to disrupt venture funding and eliminate bias. By joining our team, you'll have the opportunity to make a difference and contribute to leveling the playing field for companies. We offer significant sweat equity at present, with the anticipation of raising a round in the near future. As a remote-friendly company, we welcome talented individuals from anywhere in the world to join our passionate and distributed team. Apply now, and join us in our mission to redefine data-driven decision-making in the SaaS ecosystem!