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    Job · 14629496

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    AI Project Manager

    DotKonnekt · Bengaluru · onsite · Posted 53d ago

    Not disclosed3–5 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    DotKonnekt is a vertical AI execution engine helping enterprises leapfrog with AI. We are looking for a Technical Project Manager who thrives at the intersection of client requirements, engineering execution, and AI-first thinking. You will own delivery across fast-moving AI product builds — translating ambiguity into clear, actionable direction for engineering teams.

    Responsibilities

    • Own the bridge between client requirements and engineering execution; ensure nothing gets lost in translation.
    • Drive delivery — manage timelines, track deliverables, surface blockers early, and keep teams moving without micromanaging.
    • Think AI-first — identify where automation, agents, or AI tooling can eliminate manual coordination overhead.
    • Write and iterate on prompts, workflows, and lightweight automations to speed up team output.
    • QA outputs against requirements and flag gaps before they reach clients.

    Qualifications

    You have 3+ years in leading AI use cases till production, or technical delivery role — ideally in a fast-moving startup or AI product environment.

    Required Skills

    • You have hands-on experience with no-code or low-code AI tools (Lovable, Replit, Bolt, Make, n8n).
    • You have exposure to agentic AI workflows or multi-step prompt chains.
    • You have prior experience managing AI product sprints or LLM-based feature delivery.
    • You are familiar with design thinking or solutioning frameworks.
    • You are comfortable working under fast-paced setup without dropping threads.
    • You reach for AI tools as a natural first step, not an afterthought.
    • You can write a prompt, evaluate its output, and iterate.
    • You are a strong written communicator who can distill a messy stakeholder thread into three crisp action items.
    • You have a bias for action and ship before perfect.
    • You ask good questions, make reasonable assumptions, and document both.

    Equal Opportunity Statement

    We are committed to diversity and inclusivity.

    Sourced from foundit

    Skills

    AI product sprintsLLM-based feature deliverymulti-step prompt chainssolutioning frameworksN8Ndesign thinkingAgentic AI workflowsLovableReplitBoltLow Code AI Tools

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