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Product Manager (AI Native SaaS Startup)
Location: Gurgaon (Onsite)
KNR is bringing together its two decades of global recruiting experience and is launching a new Venture, an early-stage HR-tech startup building an end-to-end, AI-native platform that unifies HRIS, Applicant tracking, sourcing, assessment, and recruitment into a single system. We're on a mission to help companies hire, manage, and grow their teams more intelligently, replacing fragmented point solutions with one connected, AI-powered platform.
About the Role
We're hiring a Product Manager to help shape the core product from the ground up. You'll work directly with the founding team to define what we build next, turn customer needs into a clear roadmap, and partner closely with engineering and design to ship features that HR teams and recruiters genuinely love using. This is a high-ownership role for someone who wants to help build a category-defining product at an early stage.
Key Responsibilities
What We're Looking For
Nice to Have
What We Offer
Job ID: 150631463
Skills:
web products , google sheets , campaign tracking , user behavior , User Stories, Automation Tools, Requirement Documentation, Cms, Jira, Dashboards, Figma, Wireframes, event-tech, product notes, analytics funnels, acceptance criteria, product metrics, learning platforms, PRDs, Notion, Miro, product management fundamentals, execution trackers, Google Docs, user journeys, CRM
Skills:
Apis, User Research, Creative Tools, Generative AI, Product Management, Analytical Skills, Generative Model Behavior, Developer Platforms, Workflow Products
Skills:
Java, Agile, Scrum, Python, Technical Documentation, Product Management, trading platforms, MS-SQL Server, Technical Writing
Skills:
Pci Dss, Saas, Hipaa, AI-assisted product development, AI tools, Third-Party Vendor Risk Management, Governance Risk Compliance, LLMs, SOC 2, Security, AI copilots, agentic workflows, NIST SP 800-53, Compliance frameworks, Agile product teams, Audit, RAG, ISO IEC 27001, CMMC, NIST Cybersecurity Framework
Skills:
Ml, Machine Learning, Data Modeling, Unsupervised Learning, Sql, MLops, embeddings, evaluation methodology, fine-tuning, LLMs, generative AI, supervised learning, model deployment, Ai, Analytics, data-centric products, RAG
We don’t charge any money for job offers