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.