Jobs at Satori Analytics

As a Data Scientist, you'll analyze data sources, build ML pipelines, and contribute to the development of data analytics platforms while leveraging emerging technologies.

The Engineering Manager will lead technical teams in data and AI projects, ensuring high standards in delivery, manage senior engineers, foster collaboration, and drive improvements in engineering practices.

Lead and manage data engineering teams, own data engineering standards, collaborate across functions, and drive improvements for scalable solutions. Support engineers’ growth and align technical projects with client needs.

As an AI Engineer, you will design AI workflows, collaborate with teams, research new trends, and translate business needs into AI solutions.

Own end-to-end targeted CVM campaigns for enterprise mobile: audience selection, offer design, channel strategy, execution, and post-campaign evaluation. Use SPSS Modeller, PEGA and datasets to build statistical models, monitor CR/SR/uplift and revenues, drive ARPU and retention, and present insights to senior stakeholders while collaborating with Product, Analytics, Sales, Finance and CRM.

The Junior AI Engineer will design AI workflows using Python, collaborate with teams on projects, research trends, and solve business problems using ML/AI.

Own and evolve GCP-based infrastructure for an AI evaluation platform: manage Terraform, GKE, databases, CI/CD, observability, secrets, and cost/reliability. Collaborate with backend, ML, and frontend teams to make deployments repeatable, secure, and reliable.

Hands-on Product Manager to run delivery and GTM for AI/data products: own backlog and roadmap, validate with Lean methods, build pricing and launch plans, gather market intelligence, own customer journey and financials, and support renewals and expansion. May cover multiple products and work closely with services, engineering, sales, finance, and leadership.

Design and implement backend services, orchestration, data pipelines, and evaluation/scoring systems for large-scale AI agent testing. Ensure correctness, testability, reliability, and observability while working with LLMs and distributed workloads.

As a Low-Code AI Specialist, evaluate and apply low-code AI platforms for clients, build prototypes, and guide on implementation and best practices.

Design and develop Marketing Mix Models to optimize marketing investments, analyze datasets, build statistical models, and translate outputs into actionable business insights.

Design, build, and maintain scalable ETL pipelines and data models using SQL, Python/PySpark and modern cloud data platforms (Databricks, Snowflake, MS Fabric). Ensure data quality, governance, monitoring and collaborate with cross-functional teams to deliver analytics- and AI-ready data.

Support design and development of ETL pipelines, assist with data migrations and cloud transitions, troubleshoot data processes, and collaborate with architects, developers, and analysts while learning cloud and data engineering tools.

As a Senior MLOps Engineer, you will build and maintain infrastructure for deploying ML models, create automated ML pipelines, ensure system reliability, and enhance collaboration across AI teams.

The AI Solution Architect leads technical pre-sales and designs scalable Data & AI solutions, collaborating with stakeholders and delivery teams on complex bids.