Belonging at Snap

At Snap, we know we have a huge responsibility to the 850 million people around the world who use Snapchat. We are committed to delivering products that resonate with our global community. Doing so requires hiring the most talented team members and creating an environment where everyone belongs and can use their unique talents and contributions to succeed and do their best work.

At a glance

Inspiring Empathy

We encourage openness and use storytelling to create awareness of different perspectives.

Design Inclusively

We build innovative and inclusive products that resonate with our global community.

Cultivate Belonging

We foster a culture of belonging where everyone is seen, valued and can show up authentically.

Recently posted jobs

8 Hours AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Staff Software Engineer will lead the development of Snapchat's client-side ads stack on Android, focusing on networking and performance, while ensuring code quality and leveraging AI tools for scalable services.
2 Days AgoSaved
Hybrid
5 Locations
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Define and lead Sponsored AR product strategy across priority advertiser verticals. Partner with engineering, design, data science, sales, and marketing to build, launch, and iterate AR advertising products. Translate market and customer insights into roadmaps, business cases, and success metrics; prioritize opportunities, run experiments, and influence executives to drive adoption and revenue.
2 Days AgoSaved
Hybrid
6 Locations
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Lead product-focused quantitative analysis and machine learning projects to deliver actionable insights, metrics, and optimizations. Collaborate with product, engineering, and design teams to build scalable, statistically rigorous solutions, dashboards, and experiments. Use AI tools and high-velocity workflows to accelerate decision-making while ensuring methodological integrity and data quality.