Product Manager

• Own the end-to-end product strategy, roadmap, development, launch, and growth of AI, B2B SaaS, Data Intelligence, Cybersecurity, and Email Deliverability products.
  
• Translate customer and business requirements into scalable product features, workflows, APIs, and technical specifications .
  
• Work closely with Engineering, AI/ML, Data, DevOps, Cybersecurity, UI/UX, Sales, and Business teams.
  
• Define and manage PRDs, user stories, acceptance criteria, product workflows, API specifications, and system requirements .
  
• Participate in architecture discussions, sprint planning, backlog refinement, technical design reviews, API reviews, UAT, and release planning .
  
• Drive AI product capabilities including LLMs, AI agents, RAG, embeddings, vector search, prompt systems, AI evaluation, guardrails, and model optimisation .
  
• Work with APIs, third-party integrations, CRM/marketing platforms, webhooks, and AI model integrations.
  
• Use SQL, product analytics, funnel analysis, A/B testing, and product usage data to drive product decisions.
  
• Conduct customer discovery, competitor analysis, product validation, and MVP definition .
  
• Own product growth metrics including activation, engagement, conversion, retention, feature adoption, expansion, MRR/ARR , and other product KPIs.
  
• Collaborate with Sales and Marketing on product positioning, pricing, packaging, GTM, and product launches .
  
• Continuously monitor product performance and identify opportunities for optimization, scalability, and growth .
  
  
  
  Requirements

  • 5-10+ years of overall experience with 4+ years in Product Management / Technical Product Management .
    
  • Strong experience in B2B SaaS product management and building technology products.
    
  • Strong understanding of API architecture, SaaS architecture, system workflows, and third-party integrations .
    
  • Hands-on working knowledge of SQL and product analytics .
    
  • Experience with Agile/Scrum, product discovery, PRD writing, and data-driven decision making .
    
  • Strong understanding of AI/ML, Generative AI, LLMs, AI Agents, RAG, and vector databases is preferred.
    
  • Good understanding of REST APIs, Python, microservices, event-driven architecture, and cloud platforms is preferred.
    
  • Exposure to data engineering, cybersecurity, CRM systems, marketing automation, or email infrastructure is an added advantage.
    
  • Ability to understand and work with architecture diagrams, API documentation, Postman, SQL, and analytics dashboards .
    
  • Strong analytical, problem-solving, communication, and stakeholder-management skills.
    
  • Experience taking products from 0 1 and scaling products from 1 10 .
    
  • Engineering / software-development background transitioning into Technical Product Management is strongly encouraged.
    
    
    

    
    
    

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.