Data Products - Member of Technical Staff (AI)

Location: San Francisco, United States; On-site

Company

hirify.global develops AI-based simulations of society and a foundation model for predicting human behavior.

What you will do

• Own data products from architecture through backend services, APIs, storage, orchestration, data modeling, and user-facing workflows.
• Build and scale pipelines that collect data from diverse sources, normalize it, and make it available to product and research teams.
• Secure sensitive data using PII redaction, tenant isolation, encryption at rest, secrets management, authentication, authorization, and access controls.
• Design reliable integrations for structured and unstructured data, handling schema changes, partial failures, and edge cases.
• Partner with researchers, product teams, and enterprise customers to turn ambiguous requirements into durable data capabilities.
• Balance architectural rigor with incremental delivery and learning from real-world usage.

Requirements

• 5+ years of professional engineering experience, excluding internships, at technology and product-driven companies, including ownership of production systems used by customers.
• Strong command of Python and/or TypeScript, plus solid SQL and data-modeling fundamentals.
• Experience with relational databases such as Postgres and cloud infrastructure on AWS, GCP, or Azure.
• Hands-on experience building data pipelines or integrations, including batch and/or streaming processing, workflow orchestration such as Temporal, and schema evolution.
• Practical experience with authentication and authorization, encryption, secrets management, multi-tenancy, and sensitive data in enterprise or regulated environments.
• A track record of balancing technical excellence with pragmatic shipping and customer-focused product decisions.
• Ability to work effectively in a fast-growing environment with loosely defined tasks and competing priorities.

Nice to have

• Experience with terabyte- or petabyte-scale datasets and distributed data processing using ClickHouse, Flink, or BigQuery.
• Experience with WebRTC, streaming speech-to-text and text-to-speech, or LLM-powered conversational products.
• Experience building customer-facing enterprise connectors, data-sharing workflows, APIs, SDKs, or developer platforms.
• Experience protecting, de-identifying, and responsibly sharing sensitive customer data; familiarity with SOC 2, HIPAA, GDPR, enterprise security reviews, or differential privacy.
• Curiosity about social science, survey research, or how people think and make decisions.

Culture & Benefits

• On-site work in San Francisco within the Engineering department.
• Thoughtful conversations and clear examples of past work are valued.
• The hiring journey is designed to align on fit, working style, and expectations.
• Reasonable accommodations are available during the application process.
• hirify.global is an equal opportunity workplace welcoming applicants of all backgrounds and identities.

Hiring process

• The process includes thoughtful conversations and discussion of clear examples of past work.
• A 90-day waiting period applies before reapplying for the same role.