- 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.

- Solid
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.

📌 Product Manager (Coimbatore)
🏢 Important Company of the Sector
📍 Coimbatore