- 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.

- Positive 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)
🏢 InFynd
📍 Coimbatore