Product Manager

Role Overview

Were seeking a technical Product Manager who blends deep technical understanding with a passion for building innovative, high-impact AI-driven SaaS products. You’ll own the entire product lifecycle, from market analysis and vision creation to execution, launch, and continuous improvement.

This is not a feature coordinator role. You’ll deeply understand:

• The technical stacks we build on:
• React, Python, .NET Core, cloud architectures, microservices, MQTT, and IIoT protocols.
• The AI/ML models powering predictive maintenance, anomaly detection, and intelligent automation.
• How complex industrial user problems translate into scalable, secure, and commercially viable SaaS solutions.

You’ll work closely with engineering, design, data science, business stakeholders, and customers to deliver intelligent, production-ready products that transform industrial operations and enterprise decision-making.

Key Responsibilities

1.

• Own the vision, strategy, and roadmap for AI-driven SaaS products.
• Gather and analyze requirements from:
• Customers.
• Sales and support teams.
• Market and competitor insights.
• Translate requirements into:
• Detailed user stories and acceptance criteria.
• Wireframes and process flows in collaboration with UX designers.
• Technical documentation for engineering teams.
• Ensure alignment with:
• Multi-tenant SaaS architecture principles.
• Security, privacy, and compliance requirements.

2.

• Collaborate deeply with engineering to:
• Assess technical feasibility and trade-offs.
• Prioritize backlogs based on business value and complexity.
• Participate in architecture and design discussions.
• Understand and engage in discussions around:
• Frontend frameworks (React, modern JavaScript).
• Backend systems (.NET Core, Python, Node.js, microservices).
• Cloud-native deployments and cost considerations.
• Data pipelines and ML model lifecycle management.
• Industrial communication protocols (MQTT, OPC-UA).
• Edge vs. cloud processing decisions for IIoT solutions.

3.

• Identify opportunities for AI/ML:
• Define problem statements and success metrics.
• Collaborate with data scientists to:
• Specify datasets and model requirements.
• Translate ML outputs into user-facing insights.
• Manage AI-specific challenges:
• Explainability of ML outputs for user trust.
• Impact of model drift on user experience.
• Ethical considerations and risk management.

4.

• Drive Agile ceremonies:
• Sprint planning.
• Backlog grooming.
• Demo sessions.
• Maintain accountability for:
• Timely product releases.
• Product performance against defined KPIs.
• Quality and stability of releases.
• Collaborate with QA and DevOps teams to ensure:
• Proper testing coverage.
• Smooth deployments in cloud and edge environments.

5.

• Conduct market research and competitor analysis to:
• Identify gaps and opportunities.
• Inform roadmap decisions.
• Engage directly with customers to:
• Gather feedback and validate assumptions.
• Understand pain points in industrial workflows.
• Define and track product metrics:
• Adoption rates.
• Engagement and retention.
• Customer satisfaction (NPS).
• Contribute to customer-facing activities:
• Pre-sales support.
• Product demonstrations.
• Managing escalations for critical issues.

6.

• Act as the single source of truth for product direction.
• Clearly communicate product plans and priorities across teams.
• Prepare:
• Product demos.
• Internal training sessions.
• Release notes and user guides.
• Advocate for user needs while balancing business and technical constraints.

Key Qualifications

Must-Have Technical Knowledge

• Strong understanding of modern SaaS architectures:
• Frontend: React, Angular, or equivalents.
• Backend: .NET Core, Python, Node.js.
• Microservices, REST APIs, GraphQL.
• Familiarity with:
• Cloud platforms (AWS, Azure, GCP).
• DevOps practices, CI/CD pipelines.
• Security and compliance considerations in SaaS (e.g. GDPR, SOC2).
• Practical exposure to AI/ML:
• Training and deploying models.
• Understanding of model monitoring and lifecycle management.
• Knowledge of:
• Industrial protocols (MQTT, OPC-UA, Modbus).
• Edge computing architectures and their constraints.
• Experience working with SQL and NoSQL databases.

Preferred Candidate Profile

• Experience working in

  CMMI Level 2 or Level 3 organizations

  , with:
• Structured software development processes.
• Strong documentation practices.
• Process compliance and quality standards.
• Familiarity with process improvement methodologies.

Product Management Skills

• Proven ability to own full product lifecycles in a technical environment.
• Strong skills in:
• Requirements gathering and writing clear specifications.
• Prioritizing work based on business and technical considerations.
• Defining success metrics and data-driven decision-making.
• Comfortable working in Agile/Scrum environments.
• Excellent communication skills for collaborating across technical and non-technical teams.

Preferred Experience

• Background in:
• Industrial IoT (IIoT), Industry 4.0, or enterprise technology.
• Experience working with:
• Real-time analytics pipelines.
• Edge-to-cloud integrations.
• Data visualization tools.
• Familiarity with:
• JIRA, Confluence, Figma, or equivalent product tools.
• SaaS pricing and packaging strategies.

Education

• UG: B.Tech/B.E. in Computer Science, Information Technology, Electronics/Telecommunication, Electrical Engineering, or related fields.
• PG: MBA or M.Tech preferred but not mandatory for candidates with strong technical and product leadership experience.

Why Join Us?

• Lead the development of AI-driven products transforming industrial operations and enterprise decision-making.
• Work with modern technologies and an experienced, collaborative team.
• Enjoy full ownership and high impact in shaping product strategy and execution.
• Competitive compensation, benefits, and significant career growth opportunities.

PumpAcademy Private Limited is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.