Engineering Manager - Platform

<h2><strong>About Shelf</strong></h2> <p>There is no AI Strategy without a Data Strategy. Getting GenAI to work is mission-critical for most companies, but 90% of AI projects haven't been deployed. Why? Poor data quality is the #1 obstacle companies face in getting GenAI projects into production.</p> <p>We've helped some of the best brands, including Glovo, Lufthansa, Herbalife, and Nespresso, solve their data issues and deploy their AI strategy with Day 1 ROI.</p> <p>Simply put, Shelf unlocks AI readiness. We provide the core infrastructure that enables GenAI to be deployed at scale. We help companies deliver more accurate GenAI answers by eliminating bad data in documents and files before they are fed into an LLM, thereby preventing the creation of incorrect answers.</p> <p>Shelf is partnered with Microsoft, Salesforce, Snowflake, Databricks, OpenAI, and other big tech players who are bringing GenAI to the enterprise. </p> <p>Our mission is to empower humanity with better answers everywhere.</p> <h2><strong>Engineering Manager</strong></h2> <p><strong>What you’ll lead and how you’ll work</strong></p> <p>As an Engineering Manager of Platform at Shelf, you will own the delivery of the Platform infrastructure—the foundation that enables the core capabilities of a future-proof knowledge platform. You will manage and grow a backend-centric Platform team consisting of software engineers, DevOps, SRE, and QA specialists, partnering closely with Staff Engineers, Tech Leads, Product Managers, and other Engineering Managers who lead product development teams.</p> <p>You’ll set clear contracts and boundaries between platform surfaces and product services; prevent creating bespoke solutions for product teams; earn self-service adoption with strong defaults, and drive complex migration programs with thoughtful deprecations rather than rewrites. </p> <p>Reliability will be operated efficiently with SLOs and error budgets; incidents will be handled with a healthy on‑call, runbooks, and blameless reviews; and cost will be measured and managed as a first‑class outcome. While product teams own their services and on‑call, the Platform team provides the defaults, guardrails, and consultation.</p> <p>Together with Product Managers, you’ll exercise product thinking to enhance developer productivity, reduce cognitive load, and ultimately, decrease time-to-market.</p> <p><strong>What you’ll bring</strong></p> <p>You’ve managed platform/infrastructure teams in product companies that operate multi-tenant distributed systems processing big volumes of structured or unstructured data. You’re comfortable operating in AWS with event‑driven/serverless patterns and modern data pipelines, and you can challenge solution designs and sequence complex migrations with high delivery velocity while maintaining high system uptime.</p> <p>You’ve built paved roads that product teams adopt voluntarily, run successful architecture modernization programs, and operate to SLOs and error budgets, solving development, cross-team collaboration, and production support challenges. </p> <p>You have a proven track record of developing Tech Leads and Senior ICs, hire well, and foster a culture that values reliability, learning, and clear ownership.</p> <p><strong>What success looks like in the first 12 months</strong></p> <p>In the first 3 months, you will establish a transparent approach to the Platform Roadmap, accounting for the business needs and proactively accommodating external factors, such as cloud provider system updates and API deprecations. You will delineate the boundaries between platform and product team scopes. </p> <p>By the end of your first year, Platform will be measurably easier and safer to build on. Most new services will adopt the paved road by default. Platform-owned surfaces will adhere to explicit SLOs, featuring a visible error budget policy and faster recovery when incidents occur. A new region will be live with the same IaC, observability, and complia ... (truncated, view full listing at source)