Product Manager – RCA / ML Platform

Company Overview

An early-stage startup focused on building an AI-native root cause analysis (RCA) and troubleshooting platform for industrial operations, particularly in high-value and complex manufacturing environments like semiconductor fabrication.

Job Summary

As the Product Manager for the RCA, ML product line & Data platform, you will own the end-to-end product lifecycle. This includes defining the problem, creating the roadmap, launching the product, driving adoption, and iterating based on user feedback. Your role is vital in shaping the startup's offerings, directly impacting product-market fit and operational success.

Responsibilities

• Define and own the product vision, strategy, and roadmap for the RCA, ML, and Data platform, ensuring alignment with company and customer goals.
• Understand and analyze customer workflows (alerts, incidents, excursions, yield issues) to translate them into clear problem statements, product requirements, and features.
• Collaborate with Sales, engineering, data/ML, and design teams to determine what to build, prioritize the backlog, and deliver impactful features consistently.
• Work with ML and data teams to define RCA capabilities, including data sources, model outputs, feedback loops, and evaluation metrics.
• Partner with UI/UX teams to establish intuitive workflows for investigation, triage, and root cause exploration.
• Monitor and define success metrics (adoption rates, time to root cause, incident resolution time, user engagement) and utilize them for prioritization.
• Conduct customer discovery and validation through interviews, pilots, usability sessions, and onsite visits, translating insights into roadmap adjustments.
• Align stakeholders across sales, customer success, and leadership by clearly communicating tradeoffs, priorities, and product decisions.
• Stay informed on ML, observability, and industrial analytics trends to shape strategic differentiation.

Qualifications

• 4–8 years of product management experience in B2B software, with at least 2 years focused on data, machine learning, analytics, or platform products.
• Proven success in owning a product area end-to-end, including discovery, creating product requirement documents (PRDs), execution with engineering, and post-launch iteration.
• Ability to work effectively with technical teams (data engineers, ML engineers) and discuss data pipelines, model outputs, and APIs.
• Experience in prioritizing under constraints using frameworks such as impact vs. effort, customer value, and strategic fit, while making the tough decision to say “no” when necessary.
• Exceptional communication and storytelling abilities, capable of simplifying complex technical concepts for customers and internal teams.
• A high degree of ownership, action bias, and comfort with ambiguity typical in early-stage startup environments.

Preferred Skills

• Experience with products related to observability, incident management, DevOps, data platforms, or industrial/manufacturing analytics.
• Familiarity with root cause analysis, causal inference, or reliability and quality engineering workflows.
• Background working with industrial, IoT, or semiconductor data, such as equipment logs, sensor streams, Manufacturing Execution Systems (MES), or yield data.
• Prior experience as a founder, early PM, or the first PM in a startup.

Experience

• A minimum of 4 years in product management, specifically in B2B software, with relevant experience in data and machine learning products.

Environment

• Work location is Bengaluru, India.
• Employment is full-time, within a dynamic startup environment.

Salary

• Competitive salary and meaningful equity will be offered, although specific figures are not provided.

Growth Opportunities

• Engage in building a category-defining RCA/ML platform with ownership of critical product areas and direct access to customers and leadership for professional development.

Benefits

• Opportunities for professional growth and contribution to a pioneering platform in the industrial sector will be provided; specific benefits are not detailed.