Jobs at Satori Analytics

Lead and mentor Cloud Engineers while owning the technical direction, roadmap, and delivery of cloud and platform infrastructure. Architect and operate Azure, Kubernetes, hybrid, and on-premises environments supporting production, data, and AI workloads. Drive Terraform-based infrastructure automation, GitOps, CI/CD, observability, security, resilience, and incident response. Collaborate with Software, Data, and AI Engineering teams on scalable infrastructure, including GPU and data-intensive workloads.

Architects and builds production-grade GenAI systems, including RAG pipelines, LLM integrations, agent workflows, evaluation frameworks, guardrails, and monitoring. Optimizes inference cost, latency, reliability, and quality while developing reusable AI components and services. Leads the transition from prototypes to production, mentors junior engineers, and manages one to two engineers.

Design, build, and operate scalable batch, streaming, and real-time data platforms for marketing analytics and AI/ML products. Develop ingestion, transformation, orchestration, and delivery frameworks across cloud data environments; improve scalability, reliability, security, governance, observability, and lineage. Lead cloud modernization, CI/CD and infrastructure automation, resolve complex production issues, influence architecture, mentor engineers, and collaborate with product, engineering, data science, and business stakeholders.

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

Integrate and extend a modular simulation-optimisation framework with AnyLogic production models and plant data. Develop Java components to run scenarios, validate I/O and KPIs, apply optimisation methods for scheduling and multi-objective problems, quantify operational benefits, and support operationalisation through dashboards, documentation, and stakeholder collaboration.

Manage end-to-end targeted CVM campaigns (audience selection, offer design, execution, monitoring, reporting). Analyze customer data, support segmentation and targeting using data-mining tools, track campaign metrics, and translate insights for cross-functional stakeholders.

Lead Satori's geographic expansion and partner ecosystem across Europe and the Middle East: open markets, build cloud and channel partnerships, engage C-level stakeholders, source and qualify enterprise opportunities, and coordinate with delivery, engineering, and product teams to convert pipeline into repeatable commercial growth.

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 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.

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

Build customer and marketing analytics solutions: segment customers using clustering, engineer customer-level features, apply explainable AI (SHAP), develop targeting/propensity/churn models, align analyses with Marketing/BI, present insights to stakeholders, and write reusable, well-documented code collaborating with Data Engineering.

Lead marketing-science projects to build and validate Marketing Mix Models and related econometric/time-series/ML solutions, quantify incremental impact, optimize media spend, explain results to stakeholders, and mentor junior colleagues while operationalising reproducible workflows.

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

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.