Data Products - Member of Technical Staff

present of AI; San Francisco (CA); Sur place; USD 150 000 - 190 000; Plein temps

Résumé du poste

Simile seeks a Data Products - Member of Technical Staff in San Francisco for an experienced backend and data engineer to own a data product from design through to the user-facing workflow. You will build production data pipelines, keep data private and tenant-isolated, and ensure resilience as formats evolve.

Ideal candidates have 5+ years running production systems and strong Python/TypeScript and SQL skills, with the ability to make practical build-vs-buy decisions while delivering in small

Qualifications

• Five+ years running production data systems.
• Strong in Python or TypeScript and SQL.
• Able to design data products end-to-end and ship in small increments.

Responsabilités

• Own a data product from design through to the user-facing workflow.
• Maintain privacy controls and tenant isolation in data pipelines.
• Collaborate with researchers and engineers to evolve data products.

Connaissances

Python

TypeScript

SQL

Data pipelines

PII redaction

Outils

Orchestration

Privacy by design

Description du poste

Data Products - Member of Technical Staff

AI & Data · San Francisco · FullTime · Senior level

This role is for an experienced backend and data engineer who can own a data product from design through to the user-facing workflow. The work centers on pipelines that pull in messy human data, keep it private and separated by customer, and keep it reliable when formats change. A strong candidate has five or more years running production systems, is solid in Python or TypeScript and SQL, and can make practical build versus buy calls while shipping in small steps.

How it fits the AI era

AI handles the conversations here, since the company's interview platform runs adaptive, real-time talks with people at scale. That raises the stakes on the data underneath, because simulations are only as good as what goes in. Human judgment stays central in deciding what is safe to collect, how to protect people's information, and what customers can trust.

How it builds AI experience

Someone in this role would work close to the data that feeds models of human behavior, and alongside researchers who use it. Exposure to AI interviewing, voice and conversation systems, and privacy protections for sensitive data would come with the job. To build toward it, try a small project that moves conversational or survey data through a pipeline with redaction and clear access rules.

Worth showing

• Production Python or TypeScript systems
• Data pipelines with orchestration
• PII redaction and tenant isolation
• Schema evolution and reliability
• Enterprise customer collaboration

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Simile

Simile builds artificial intelligence driven simulations of human behavior so enterprise teams can test strategic decisions before launch, according to the company.