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Product Manager (30 LPA - 60 LPA)

8 years

0 Lacs

Posted:14 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

🚀 What we’re building CodeRound AI matches top 5% tech talent to fastest growing VC funded AI startups in Silicon Valley and India. Candidates apply once and get UPTO 20 remote as well as onsite interview opportunities IF selected! T op-tier product startups in US, UAE & India have hired top engineers & ML folk using CodeRound 🧩 What you'll own Work directly with the founders to define and prioritize the product roadmap. Design and iterate on AI-native workflows: dynamic assessments, LLM-led scoring, evaluation UX. Translate customer feedback into product specs that engineers and designers can run with. Own metrics: candidate quality, funnel conversion, recruiter satisfaction, system accuracy. Collaborate across design, engineering, and growth to ship features weekly. Balance speed and quality — you’ll ship, test, learn, and evolve quickly. 💥 Why this role is exciting You’ll define core product experiences for thousands of dev candidates and hiring managers. You’ll work on cutting-edge AI + UX — scoring engines, adaptive assessments, smart copilots. You’ll be joining early, with a seat at the table on product, team, and company direction. You’ll work directly with repeat founders, engineers, and real customers every day. If you’ve ever wanted to ship fast, own your metrics, and be part of a breakout product — this is it.  ✅ You’ll thrive here if you: Have 4–8 years experience in product management at a fast-paced tech company or startup. Have built 0→1 features or products, ideally in developer tools, SaaS, or AI. Have a strong sense of UX — you know what good onboarding, scoring, and dashboards look like. Think in systems — you can model user flows, edge cases, and data pipelines. Enjoy working closely with engineers and aren’t afraid to dive into how things work under the hood. ⚡ Bonus if you: Have experience designing or productizing AI systems (e.g., GPT flows, LLM evaluators, vector search). Have been the first or early PM at a startup. Are excited by a builder culture — no red tape, just high ownership.

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