
201 - 500 employees
Founded 2004
💼 Consulting
📣 Marketing
📚 Education
Consulting • Marketing • Education
Packt is a global technical learning content provider, founded in Birmingham, UK. The company offers a wide array of resources including books, e-books, audiobooks, and video courses, catering to IT professionals who seek to gain expertise in emerging technologies or enhance their skills in established tools. Packt's portfolio covers various topics such as machine learning, cybersecurity, and web development, featuring contributions from groundbreaking authors. Additionally, they provide an AI Assistant as part of their digital books and have a commitment to supporting open-source projects through their royalty scheme.
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201 - 500 employees
Founded 2004
💼 Consulting
📣 Marketing
📚 Education
Consulting • Marketing • Education
Packt is a global technical learning content provider, founded in Birmingham, UK. The company offers a wide array of resources including books, e-books, audiobooks, and video courses, catering to IT professionals who seek to gain expertise in emerging technologies or enhance their skills in established tools. Packt's portfolio covers various topics such as machine learning, cybersecurity, and web development, featuring contributions from groundbreaking authors. Additionally, they provide an AI Assistant as part of their digital books and have a commitment to supporting open-source projects through their royalty scheme.
• Lead products, applications, and workflow systems from discovery and prototyping through launch, iteration, and scale • Translate user needs and commercial priorities into product bets, requirements, milestones, and measurable outcomes • Identify opportunities for AI agents, copilots, automation, and orchestration; prototype solutions and guide them into reliable production workflows • Design product-led and channel-led growth loops and remove adoption friction • Collaborate with Growth, Marketing, Sales, Content, and Verticals to expand reach • Create operating mechanisms, feedback loops, instrumentation, and decision frameworks • Define success metrics, combine quantitative data with user insight, run experiments, and make investment and sequencing decisions • Align stakeholders across Product, Engineering, Content Engineering, Growth, commercial teams, operations, and external experts • Resolve ambiguity and unblock decisions • Maintain direct contact with technology professionals and convert technology and behaviour shifts into product opportunities • Deliver useful products and systems with clear ownership, quality standards, and measurable user value • Improve reach, activation, engagement, and retention through distribution and product discipline
• 5+ years in product management, product leadership, venture building, or a closely related role, with evidence of increasing ownership • Strong track record of building and launching systems, applications, platforms, or digital products and improving them after launch • Hands-on experience working with development teams throughout discovery, design, build, release, and iteration • Experience scaling product distribution, adoption, or growth through product-led loops, partnerships, channels, lifecycle programmes, or other repeatable mechanisms • Practical experience using AI-native tools such as Claude Code, Codex, Cursor, Lovable, or equivalent tools to prototype, automate, analyse, or accelerate delivery • Working knowledge of AI agents and agentic workflows • Strong cross-functional leadership and communication skills, including the ability to influence without relying on formal authority • Strong product analytics and experimentation discipline, with the ability to define metrics and turn evidence into prioritisation decisions • Systems thinking, commercial awareness, and a bias toward delivery, learning, and measurable outcomes • Direct experience building, deploying, or evaluating agents is highly desirable • Experience in developer tools, technical learning, publishing, knowledge products, SaaS, marketplaces, or platform businesses is helpful but not required • Experience taking an AI prototype into production, including evaluation, observability, safety, cost, and human-in-the-loop design is helpful but not required • Experience working in a remote, globally distributed organisation or an early-stage product environment is helpful but not required
• Bonus scheme • 5 day working week • 25 days annual holiday (plus bank holidays) • Flexible hours: choose how, when, and where you work within India • Training programs and Certification • Flexible and remote work • Growth opportunities and internal mobility • Social collaboration and knowledge-sharing • Healthy work-life balance • Broad range of benefits and initiatives • Wellbeing and healthy lifestyle support • Peer-to-peer recognition • Self-development and career progression opportunities
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