Qodo is building the future of AI-powered software development. Our tools help engineering teams write better code, ship with more confidence, and move faster — without sacrificing quality. From intelligent code review to AI-driven test generation, Qodo sits at the intersection of developer tooling and cutting-edge AI. We're a fast-growing, product-led company trusted by thousands of developers and engineering teams worldwide.
We're looking for an AI Product Manager to join our product team and help shape the next generation of AI developer tools. This is a high-impact role for someone who thrives at the intersection of technical depth, user empathy, and product thinking. This role is ideal for someone who has worked on technical or developer-facing products, is deeply customer-oriented, and is comfortable rolling up their sleeves when needed.
Own the product lifecycle for one or more product areas — from ideation and requirements through delivery and go-to-market enablement
Spend significant time with customers: conducting discovery interviews, understanding pain points firsthand, and translating insights into product decisions
Work closely with R&D teams on a daily basis — participating in technical discussions, helping shape architecture trade-offs, and ensuring the team has clear, well-defined requirements
Enable the sales and customer success teams with the knowledge, materials, and positioning they need to land deals and drive adoption
Define and validate product opportunities through customer research, data analysis, and competitive intelligence
Translate complex technical concepts into clear product requirements and crisp user stories
Drive cross-functional alignment across engineering, design, sales, and customer success to ensure launches land well
Establish and track success metrics, running experiments and iterating based on evidence
Be the voice of the developer — obsessively understanding how developers work, what they struggle with, and where AI can genuinely help
5+ years of product management experience, ideally in a startup environment
Technical background — either through a software engineering background, hands-on development experience, or meaningful experience working on technical products such as developer tools, infrastructure, or APIs
Deep customer orientation — you've spent real time with customers, you know how to uncover pain points, and you can turn those conversations into product direction
Proven ability to own a product end-to-end: not just writing specs, but driving the full cycle from idea to launch to adoption
Strong technical foundation — you can read code, understand system architecture, and have meaningful conversations with engineers without needing a translator
AI Mindset, you’re comfortable adopting AI tools and being in the bleeding edge, you’re constantly looking for ways to become more productive with AI
Data-driven mindset — you know how to instrument a product, design experiments, and use data to sharpen decisions
Exceptional communication skills — you can write clearly, run tight meetings, and influence without authority
Startup DNA — comfortable with fast iteration, shifting priorities, and wearing multiple hats
Nice to have
Experience working on B2B or enterprise products
Experience with AI/ML products is a strong plus — especially familiarity with LLMs, code generation, or developer productivity tooling
You've shipped products that integrate with IDEs, CI/CD pipelines, or code review workflows
You have experience with PLG (product-led growth) motion
Background in software engineering or experience as a technical lead