While generic AI struggles with hallucinations and shallow analysis, Fortune 500 brands need strategic intelligence they can trust with billion-dollar decisions. We're building the specialized AI that delivers it.

We are Stravito and this is the problem we solve.

Stravito transforms how Consumer Insights professionals and Brand Managers work by building AI that automates their core workflows while eliminating hallucinations. We help world-leading organizations across industries accelerate strategic decision-making by turning millions of market research documents into intelligent systems that generate reports, discover insights proactively, and synthesize knowledge across vast content libraries.

The Mission

Build the data backbone that powers billion-dollar decisions at world-leading companies. We're looking for a Backend Engineer to architect and evolve the content systems that handle millions of market research documents and enable strategic decisions at the world's largest brands.

Your mission is to grow our robust, scalable content foundation that enables seamless access to business-critical content through APIs and reliable processing capabilities that other teams build upon.

Our platform processes a massive amount of market research documents and data points, powering intelligent workflows for the core work our users do at global brands.

What Makes This Role Unique

• Foundation for AI innovation: Build the content infrastructure that enables our AI brain to process the data that matters.
• Enterprise-scale challenges: Handle content ingestion from global industry elading companies with diverse requirements
• Ownership: Your decisions impact how thousands of professionals access business-critical insights
• Cross-team enablement: Create and evolve the APIs and data models that empower our customer-facing product teams to innovate.

What You’ll Do

Transform how Fortune 500 companies access their research intelligence:

• Connect diverse ecosystems: Build and maintain robust integrations that seamlessly ingest content from diverse enterprise systems
• Design for scale: Create content processing systems that handle millions of documents while maintaining low API response times
• Enable AI innovation: Build the data models that power our AI brain's ability to synthesize insights across massive content libraries