Enterprise AI products and data platforms for automation and analytics
Fusemachines builds enterprise AI products and data solutions, with a heavy Microsoft Azure footprint (DevOps, Data Factory, Stream Analytics, SQL Database, Event Hubs) alongside Databricks, Snowflake, and Redshift. The stack reveals a company scaling real-time data pipelines and ML feature engineering—confirmed by active projects in low-latency streaming and AI automation. Hiring is heavily weighted toward data and engineering roles (68 of 80 open positions), with senior-level dominance, indicating mature technical execution and expansion into production AI systems.
Notable leadership hires: Engineering Director, Chief Revenue Officer
Fusemachines is a 10+ year-old AI company providing enterprise AI products and data solutions for large organizations across multiple industries. Based in New York with 201–500 employees, the company operates globally with hiring across North America, Latin America, South Asia, and Pakistan. Their project portfolio spans data integration infrastructure for public sector clients, real-time analytics pipelines, AI automation systems for customer service and phone routing, and Power BI dashboards for specialized domains like cybersecurity. The engineering and data-focused org structure supports both managed services and product-led offerings.
Primary: Kubernetes, Azure (DevOps, Data Factory, Data Lake, Stream Analytics, SQL Database, Event Hubs), Databricks, PySpark, dbt Cloud, Snowflake. Secondary: AWS, Redshift, Power BI, GraphQL, Python, Terraform. Currently adopting GCP, Ansible.
United States, Canada, Brazil, Colombia, Mexico, India, Pakistan, Nepal. Global hiring footprint across Americas, South Asia.
Other companies in the same industry, closest in size