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.