Software Engineer (Full Stack)

8w2 months ago

Quantcast

San Francisco, US · Full-time · $144,900 – $168,400

About this role

At Quantcast, we revolutionize advertising technology with our AI-powered Demand Side Platform. We connect ambitious marketers with ideal audiences across the open internet, delivering measurable outcomes. Since 2006, we've trailblazed the first AI-powered measurement platform and DSP.

The Campaign Success team builds products advertisers open daily to track ad-driven outcomes like purchases and sign-ups. We're re-imagining this experience using agentic engineering and Quantcast's unique data. Hire for new grad or early-career engineer to ship customer-used features.

Paired with a senior engineer mentor through onboarding and beyond. Participate in engineering rituals like system design, code reviews, on-call, and operational habits. Cross-functional collaboration with Product Managers and Designers to decide what to build and why.

Hands-on exploration of AI agents in product and customer workflows to identify real value. Own pieces of the product and operate built systems. Grow by building substantive projects, discussing trade-offs, and writing clearly about technical topics.

Requirements

New grad or up to 1 year of experience
Work-authorized in the United States without need for current or future employer sponsorship; not able to engage candidates on OPT
Built at least one substantive project — side project, class project, internship deliverable, open-source contribution — and can discuss trade-offs
Comfortable in at least one of TypeScript, Java, or Python, willing to dive into others
Solid CS fundamentals — algorithms, data structures, object-oriented design
Curious about code impact across services, database, on the wire
Want to understand users and ask 'should we build this?' as much as 'can we?'
Aim to write clearly about technical things

Responsibilities

Build customer-facing features surfacing ad campaign insights — full stack: React and TypeScript frontend, Java/Python backend, database, testing, monitoring, docs, operational ownership
Ship features that customers use directly
Explore how AI agents fit into product and customer workflows to unlock value
Participate in engineering rituals: system design discussions, code reviews, on-call, operational habits
Collaborate cross-functionally with Product Managers and Designers on what to build and why
Own pieces of the product
Operate the systems you build