Strategic AI Programs Lead - Equity & Data Quality

Handshake; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity in a fast-growing company

401(k) match

Parental leave and fertility benefits

Wellbeing: health coverage and stipend

Learning stipend and development

Job summary

Handshake is seeking a Strategic Projects Lead, Coding/RLE, to run large-scale coding data initiatives for AI and platform teams in San Francisco. You will coordinate SWE Fellows, design evaluation workflows, and own delivery, margins and customer relationships.

You will build rubrics, automate QA and analytics, and communicate progress to stakeholders while staying hands-on with code and data quality. A strong coding background is required.

Qualifications

• 2+ years in technical or analytical roles such as software engineering, data, analytics, or technical product.
• Hands-on coding experience with Python/SQL or similar.
• Strong coding skills and familiarity with tests, CI, version control, and basic infra.

Responsibilities

• Lead multi-week to multi-month coding data initiatives with SWE Fellows.
• Design and own evaluation and annotation workflows and ensure delivery and quality.
• Write and validate coding assessments and rubrics for reviews.
• Create scripts/infrastructure to automate QA, analytics and reporting.
• Manage stakeholders and maintain customer relationships across teams.

Skills

Python

TypeScript/Node

SQL

Unit tests

CI/CD

Data analysis

Stakeholder mgmt

Problem solving

Education

Bachelor's degree in Computer Science/Engineering/Data Science

Tools

Git

Infra basics

Job description

Handshake is seeking a Strategic Projects Lead, Coding/RLE, to run large-scale coding data initiatives for AI and platform teams in San Francisco. You will coordinate SWE Fellows, design evaluation workflows, and own delivery, margins and customer relationships.

You will build rubrics, automate QA and analytics, and communicate progress to stakeholders while staying hands-on with code and data quality. A strong coding background is required.