Data Products - Member of Technical Staff

Simile • San Francisco, CA

13d

About The Position

As a Data Products - Member of Technical Staff, you will build systems that bring real human signal into Simile. The Data Products team owns how data is collected, structured, secured, and made useful. This includes an in-house AI interview platform that runs real-time, adaptive conversations with people at scale, and infrastructure that helps security-conscious organizations trust Simile with their data.

You will design and scale products that handle sensitive, messy real-world data with rigor. Systems should be secure, auditable, and reliable by construction while remaining simple for users. The role involves owning data products from architecture through backend services, APIs, and user-facing workflows; making design decisions about storage, orchestration, and data modeling; and collaborating with researchers, product teams, and enterprise customers to build durable data capabilities. The work also requires balancing architectural rigor with incremental delivery and learning from real-world use.

Simile has raised $300 million in total funding and had a $2 billion post-money valuation in its latest funding round. Its investors include Greenoaks, Index Ventures, Hanabi, A, Bain Capital Ventures, Factory, CVS Health Ventures, and Definition.

Requirements

• At least 5 years of professional engineering experience, excluding internships, at technology and product-driven companies.
• Experience owning production systems that customers depend on.
• Strong command of Python and/or TypeScript.
• Solid SQL and data modeling fundamentals.
• Experience with relational databases such as Postgres and cloud infrastructure such as AWS, GCP, or Azure.
• Hands-on experience building data pipelines or integrations, including batch and/or streaming processing, workflow orchestration, and schema evolution.
• Practical experience with authentication and authorization, encryption, secrets management, multi-tenancy, and sensitive data handling in enterprise or regulated environments.
• Track record of balancing technical excellence with pragmatic shipping while keeping customer problems central.
• Ability to thrive in a fast-growing environment, navigate loosely defined tasks, and manage competing priorities effectively.

Nice To Haves

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

Responsibilities

• Own data products from initial architecture through backend services, APIs, and user-facing workflows.
• Make core design decisions about storage, orchestration, and data modeling, including whether to build or buy.
• Build and scale pipelines that collect data from diverse sources, normalize it into consistent formats, and make it available to product and research teams at scale.
• Build systems for secure handling and processing of sensitive data, including PII redaction, tenant isolation, encryption at rest, and appropriate access controls.
• Design flexible ways to ingest structured and unstructured data from many sources and formats.
• Handle schema changes, partial failures, and edge cases without breaking downstream consumers.
• Partner with researchers, product teams, and enterprise customers to translate ambiguous requirements into durable data capabilities.
• Balance long-term architectural rigor with incremental shipping and learning from real-world usage.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed