Ravio is a SaaS compensation benchmarking tool aggregating anonymized HRIS, ATS and cap-table data via API to provide real-time pay, equity and benefits comparisons, banding, and pay-equity analytics.
We help companies get compensation right. What we get paid at work has a massive impact on our lives, and it’s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That’s why we created Ravio. We help many of the world’s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits. Ravio is growing fast, which means you can too. We’ve established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation. Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you’re in the right place. The role We’re looking for a Lead Software Engineer to join our engineering team and play a major role in our technical leadership during a significant platform shift. Ravio is moving from a traditional SaaS posture to a platform built around agents - parent agents fronting our compensation data, specialist agents underneath, durable workflows, an MCP-based tool layer, and an eval harness to maintain consistency. You’ll own architecture and technical design across the stack: the customer-facing web app, the agentic platform, and the shared infrastructure connecting them. You’ll bring system design depth - the kind that holds up under load, failure, and coordination across services and teams. You’ll continue to raise the bar on code quality, reliability, and the technical decisions that shape what we ship. This is a hands-on individual contributor role - leading technical decision-making and tackling the hardest problems we encounter. There are also upcoming opportunities to move into management as our company continues to grow, if you wish. Requirements - 8+ years commercial engineering experience, with a track record of technical leadership during platform shifts - owning architecture, driving decisions, raising the bar through code review and design review, especially where LLM assisted engineering has become the standard - System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency - Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or HTTP APIs, GCP-shaped infra) - Comfortable owning code in a distributed monorepo with multiple deployable services - Ships fast under product pressure - we’re moving from PMF to scale and the role needs that pace Nice to have - Production experience with agentic systems - tool calling, multi-step orchestration, LLM evals. - Workflow engines (Temporal, Cadence, Step Functions) - even if not Temporal specifically - MCP, Anthropic SDK, or other LLM platform work - Building developer platforms, internal SDKs, or framework-shaped surfaces - Eval-driven development, prompt engineering at scale, LLM-judge harnesses - React or another modern frontend framework Our tech stack - Frontend - React - Typescript - GraphQL (Apollo Client) - Playwright - Jest - Storybook + Chromatic - Mantine - GCP (Cloud Run) - Backend - Typescript - PostgreSQL - GraphQL Yoga - Jest - Auth0 - GCP (Cloud Run, Cloud SQL, Cloud Storage + more) - AI / agentic platform - Opus/GPT/Gemini/and many more model families - Vertex/Bedrock/Foundry - Cloud deployed models - Temporal - durable workflow engine - MCP servers as the tool layer - AI gateway (Bifrost) for logging, routing, governance - Eval harness (Phoenix) - golden queries, LLM-as-judge - Memory layer (Neo4j) - All the other good stuff - GitHub Actions - Datadog - Figma - Slack - Linear The opportunity at Ravio right now From your perspective, there are three critical things to look for when evaluating this role: a company going places, a strong engineering culture, and a role that gives you a true opportunity to have impact as a technical leader. Ultimately it’s for you to decide whether that’s true in our two-way street interview process. Here’s a summary of where we are right now and what you can expect as a starting point. There’s a lot happening at Ravio right now. We’ve just raised our Series A led by tier 1 US investors Spark Capital, and have acquired the benchmarking business of our competitor - Compete. We’ve got new joiners starting almost every week, and we’re rapidly expanding outside of our core markets in Europe. We need you to help us maintain our velocity and continue to build a scalable org and product. Our core benchmarking product is at product-market fit, and we have a couple of new modules in the 0-1 phase. This means we’re at an exciting stage that involves 0-to-1 building in some areas, and building for scale in others. That’s true across the business, we’re continuing to expand and experiment, while systemising and doubling down on what is already working well from our seed phase. Beyond the core product, we’re building Ravio’s agentic platform - parent agents fronting our compensation data with specialist agents underneath, durable workflows on Temporal, an MCP-based tool layer, and an eval harness to maintain consistency. It’s a platform engineering effort with the same care and rigour we apply to the rest of the product. A Lead engineer joining now would help shape the foundations of how Ravio’s prod