AI-native operations platform for PE, institutions, and government
Haptiq builds an AI-native operations platform designed for private equity, institutional, and government clients. The tech stack is heavily weighted toward ML infrastructure (GPT, BERT, LLAMA, TensorFlow, PyTorch) and data orchestration (Airflow, Prefect, dbt, Snowflake, Databricks), indicating deep investment in predictive modeling and workflow automation at scale. Leadership hiring is concentrated in director and senior roles—including an AI Director—while the company scales engineering, suggesting a push to mature internal ML capabilities and operationalize AI products.
Notable leadership hires: AI Director
Haptiq is an AI-native enterprise software company founded in 2009 with headquarters in New York and four global offices. The company serves private equity firms, institutional investors, and government organizations with purpose-built solutions for portfolio management, performance analysis, compliance, and operational automation. Its platform centralizes fragmented data, automates complex workflows, and generates predictive insights to help large-scale operating environments improve decision-making and performance. The company employs more than 300 engineers and delivery professionals globally.
Haptiq's stack includes GPT, BERT, and LLAMA for NLP, TensorFlow and PyTorch for deep learning, and scikit-learn for traditional ML. Data processing relies on Airflow, Prefect, dbt, Snowflake, Databricks, and PySpark.
Haptiq is actively hiring in the United States, Canada, and Poland. Current open roles span engineering (5), product (3), data (1), and HR (1), with most positions at director and senior levels.
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