
11 - 50 employees
Founded 2018
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
💰 $7M Series A - Epistemix on 2024-06
SaaS • Artificial Intelligence • B2B
Epistemix is a SaaS decision-making platform that uses large synthetic population and agent-based simulation models, AI, and inference to help organizations test scenarios, forecast trends, and optimize interventions in low-data and uncertain environments. Customers overlay their data on representative 1:1 synthetic populations to generate consumer insights, forecast adoption and tipping points, and run scenario planning for marketing, public health, pharmaceuticals, and policy decisions to reduce risk and improve outcomes.
🕒 February 26
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11 - 50 employees
Founded 2018
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
💰 $7M Series A - Epistemix on 2024-06
SaaS • Artificial Intelligence • B2B
Epistemix is a SaaS decision-making platform that uses large synthetic population and agent-based simulation models, AI, and inference to help organizations test scenarios, forecast trends, and optimize interventions in low-data and uncertain environments. Customers overlay their data on representative 1:1 synthetic populations to generate consumer insights, forecast adoption and tipping points, and run scenario planning for marketing, public health, pharmaceuticals, and policy decisions to reduce risk and improve outcomes.
• Design and execute the technical strategy for integrating the Epistemix platform into client environments. • Leverage Terraform, Kubernetes and Docker across client environments, ensuring security and repeatability with a primary focus on AWS and data connections like Snowflake and Databricks. • Interface with client IT organization to understand infrastructure environment and provide architectural guidance during implementation. • Ensure all client-side integration and deployment methods are designed to meet rigorous standards, including SOC 2 and ISO 27001, HIPAA. • Work with client IT organizations to set deployments in complex settings, including public cloud (AWS/GCP), private cloud, and traditional on-premises/dedicated application environments. • Develop and use custom automation tooling (Python is a must) to streamline deployment processes, integrating with client-side identity and access management (e.g., OAuth2/OIDC).
• 8+ years of industry experience, 3+ years of architectural implementation experience • Hands on and expert level experience in: • Python, Fast API and/or Django • Terraform. Additional knowledge of Kubernetes, and Docker highly preferred. • AWS infrastructure. General architectural mastery of another major cloud provider (GCP) is highly valued. • Bachelors Degree in Computer Science or a relevant technical discipline such as Mathematics, Statistics, Epidemiology, or Public Health • Demonstrated experience managing or contributing to organizational compliance programs, specifically the development and implementation of policies and procedures related to HIPAA (HITECH Act) privacy/security rules and achieving SOC 2 attestation • Experience with data warehouse integrations with Snowflake, Databricks or other data warehouse platforms. • Experience managing and supporting deployments in environments beyond public cloud (e.g., on-premise, private cloud, or dedicated client application environments).
• Equity & Incentives – Participation in our stock option program. • Flexible Time Off – Autonomy to manage your schedule and work-life balance. • Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees). • Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.
Apply Now🕒 February 25
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