Jobs at Quo

Hands-on RevOps manager responsible for owning revenue data model, reporting, and tooling administration. Build dashboards in Mode/Salesforce, maintain integrations (Snowflake, Census), automate workflows, and design GTM processes across Sales, CS, and Partnerships to improve funnel conversion, NRR, onboarding handoffs, and quota/capacity modeling.

The Quality Assurance & Training Specialist enhances customer experience by evaluating human and AI interactions, providing coaching, and optimizing workflows through data analysis and collaboration with internal teams.

Lead developer experience strategy and build platform tooling to accelerate engineering productivity. Design and optimize CI/CD pipelines, lifecycle automation, golden paths, and developer tools; reduce fragmentation, improve reliability and observability across multi-cloud environments, and evaluate AI-assisted tooling and coding agents to improve build, test, deployment, and operations workflows.

Lead and grow an ~8-person cross-disciplinary Foundations engineering team owning core platform systems (GraphQL, client data sync, mobile frameworks, CI/testing). Drive technical direction, prioritize multi-domain work, make system design decisions at scale, partner with senior engineering leaders, and coach a distributed team to keep core systems performant and scalable.

As a Growth Lead, you'll develop and implement go-to-market strategies, define revenue targets, and drive cross-functional initiatives to achieve growth in category-specific campaigns.

The Senior Performance Marketing Manager will scale digital acquisition initiatives across various paid platforms while optimizing performance and managing budgets. Collaborating cross-functionally, this role combines strategic thinking with hands-on execution to achieve business growth targets.

As a Staff Backend Engineer, you will design and own system architectures, lead feature delivery, mentor engineers, and improve system performance and security.

As a Staff Backend Engineer, you'll lead the architecture and development of AI features, mentor engineers, and ensure system reliability and scalability within an event-driven microservices environment.