Why This Job is Featured on The SaaS Jobs
Level AI sits in the AI-native SaaS segment where product differentiation is increasingly driven by how well customer interaction data is converted into usable signals. An AI Analyst role in this context is notable because it connects model behaviour, user workflows, and business outcomes, especially relevant for platforms serving contact centres where volume and variability of conversations create rich feedback loops.
For a SaaS career, the work builds durable analytics muscle in environments where iteration is continuous and measurement is central. Experience defining metrics, analysing usage and feedback, and improving automation pipelines maps well to common SaaS operating rhythms across product analytics, applied ML, and data-informed decision making. The emphasis on prompt engineering and evaluation also reflects an emerging competency area as SaaS products incorporate LLMs into production features.
This role tends to suit early-career analysts who prefer hands-on problem solving across data, modelling, and product surfaces rather than a narrow reporting remit. It will appeal to professionals who like translating ambiguous user behaviour into structured hypotheses, running analyses end to end, and refining systems through repeated testing and monitoring within a SaaS product lifecycle.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionises customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. As a critical member of the team, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us.
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What you’ll get to do at Level AI (and more as we grow together)
- Drive product impact by proposing and conducting quantitative research into key user behaviors and trends
- Conduct in-depth analysis and build statistical models to identify trends and key drivers that inform important decisions made by the user.
- Data analysis to identify common trends
- Based on analysis, propose enhancements for automation pipelines.
- Review the output of AI models to improve performance by identifying common usage gaps
- Optimise AI model performance through effective prompt engineering techniques.
- Establish automated model performance improvement pipelines through prompt engineering.
- Responsible for generating, testing, evaluating, and curating high-quality, diverse, and representative data (including synthetic) for AI model development, training, and performance.
- Analyse model performance by diving into user feedback data and product usage reports.
- Suggest ways to improve product usage by specifically targeting each group of users and also feature.
- Create a business analysis report weekly.
- Define and monitor key metrics; investigate changes in metrics.
- Driven to continuously learn and adapt.
We'd love to explore more about you if you have
- Bachelor's degree or above with a good academic background.
- 1-2 years of full-time work experience as an AI Analyst.
- A highly resourceful individual who is looking to grow in the SaaS AI field.
- Experience in Python (Pandas, Matplotlib, NumPy) is a must.
- Experience in SQL is a must.
- Experience with Prompt Engineering is a plus.
- Familiarity with Classical ML Models (scikit-learn) and Deep Learning (Hugging Face, PyTorch) is a plus.
- Experience with Data Engineering is a plus.
- Employing test findings to do Statistical analysis and improve models.
- Knowledge of common metrics for evaluation of ML models is a plus.
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We offer market-leading compensation, based on the skills and aptitude of the candidate.
To learn more visit : https://thelevel.ai/
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn : https://www.linkedin.com/company/level-ai/
