Engineering Lead

Engineering LeadLocation: San FranciscoCompany Stage: Seed / Series A (just raised $10M )Team: EngineeringExperience: 6–10 yearsCompensation: Competitive Metrics-Based Bonus EquityWhy Join Cred?CRED is an AI Native Command Center for businesses. It centralizes internal and external data for companies and matches it with external insights to help companies make better decisions and predict the future. With early traction in sports and entertainment and working with some of the biggest names like the PGA, Warriors and others and a fresh $10M venture round, we're scaling quickly. CRED’s dataset is one of the largest business databases in the world, and includes data on customers, people and companies and many related business entities. CRED collects and trains LLM Agents using internal and behavioral data to improve customer outcomes.At CRED, you’ll have ownership, influence, and the opportunity to work at the intersection of AI, data, and business strategy. We move fast, execute in weekly sprints, and build with purpose. If you’re excited by high-impact work, tight feedback loops, and a role that touches product, customer, and data — this is for you.What You’ll Be Working OnAs Engineering Lead at CRED, you’ll shape how we build. You’ll technically lead a growing team, drive best practices across delivery and QA, and help us scale our infrastructure, pipelines, and platform with AI and automation at the core.Key Responsibilities:Lead and scale the engineering function with a strong delivery mindset — shipping high-quality features weeklyDrive innovation around multi-platform builds, from web to Chrome and native mobile appsOwn and evolve internal processes around CI/CD, QA automation, observability, and DevOpsDesign and build internal tools to automate development, QA, and data workflows, powered by AIWork closely with Product to scope and plan features, break down technical work, and ensure quality and stabilityMentor and motivate engineers through structured sprint planning, accountability, and growth conversationsSet standards for code quality, documentation, testing, and deploymentsGuide architectural decisions across products including our web and mobile apps, AI agent, Chrome extension, data platform, and integrationsMaintain a strong pulse on delivery, helping to unblock technical issues and prioritise ruthlesslyWhat We’re Looking ForMust-Haves:6–10 years of hands-on engineering experience, with at least 2 years in engineering leadership rolesFamiliarity across our tech stack (Node.js, Python, SQL, React, iOS, Android)Proven ability to lead agile/scrum teams, set goals, track velocity, and manage delivery in sprint cyclesStrong background in DevOps and QA best practices — CI/CD pipelines, automated testing, infrastructure as codeExperience building and scaling data-rich products — including APIs, integrations, scraping tools, or cloud platformsAI-native mindset — you actively look for ways to integrate LLMs and automation into engineering processesExperience collaborating with cross-functional teams, working closely with product and designPassion for hands-on work — you enjoy building, debugging, and exploring technical edge casesExcellent communication and storytelling — you can translate complexity for any audience and align teams around a planHigh ownership and bias for execution — you take pride in results and always find a way to move things forwardBonus Points For:Background in data integration, CRM, sales/marketing tooling or AI-first productsExperience with data science models and building AI/ML infrastructure & AI-first productsStrong cloud infrastructure skills (AWS, GCP, or Azure)Built internal tools or systems for QA automation, observability, or CI/CD workflows Familiarity with building Chrome extensions, Mac apps, or multi-platform toolingSound like you?If you're a structured, hands-on engineering leader who thrives on accountability, shipping fast, and building AI-native infrastructure — let’s talk.Compensation Range: $100K - $300K

Salary : $100,000 - $300,000