Senior Product Manager, Automation & Detection Systems

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AI Summary

Seeking a Senior Product Manager to drive automation in detection and mitigation systems. This hands-on, technical role involves product strategy, data analysis, and ML operations to identify and implement automation solutions. Requires strong data analysis, ML understanding, and experience building complex systems.

Key Highlights
Own and drive automation within detection and mitigation systems.
Hands-on, technically-oriented role involving data analysis and ML operations.
Requires experience building internal tools, ML models, and complex systems.
Key Responsibilities
Identify and prioritize automation opportunities based on attack trends, operational efficiency gains, and customer impact.
Define success metrics and track performance of automation features post-launch.
Build business cases grounded in quantitative evidence—expected detection improvements, false positive trade-offs, operational cost reductions.
Conduct hands-on analysis of detection data, traffic patterns, and attack signatures to identify automation opportunities.
Work with telemetry and truth data to validate that proposed automation will perform as expected before engineering investment.
Partner with ML researchers & analysts to translate detection research into productized automation capabilities.
Work with engineering teams to scope, prioritize, and deliver automation features on schedule.
Collaborate with SOC and customer-facing teams to understand operational pain points and incorporate feedback into product direction.
Communicate automation strategy and progress to executives, customers, and internal stakeholders.
Gather customer feedback and market insights to inform product direction.
Support sales and solutions teams with technical context on automation capabilities.
Technical Skills Required
SQL Claude Code
Benefits & Perks
Relocation assistance is provided
Nice to Have
Experience in bot detection, fraud prevention, or cybersecurity domain
Familiarity with detection systems, classification pipelines, or anomaly detection
Proficiency with data tools beyond SQL (Python, notebooks, visualization tools)
Experience with Agile methodologies (Scrum, Kanban) and tools like JIRA/Confluence
Advanced degree in a technical or business field

Job Description


Job Title - Senior Product Manager

Job Location - Pune, Maharashtra

MUST Have Skills - Exp in building internal tools, ML models, and complex systems (e.g., pricing models, recommendation/discord systems), Exp in tools like Claude Code within dev environments to build prototypes and run analysis.


Role Overview

Our client is looking for a Product Manager to own and drive automation within the detection and mitigation systems. This role sits at the intersection of product strategy, data analysis, and machine learning operations, you'll be responsible for identifying opportunities to automate threat response, validating those opportunities through rigorous data analysis, and working closely with data scientists and engineers to bring automation solutions to production.


This is a hands-on, technically-oriented PM role. You'll spend significant time in the data yourself—validating hypotheses, understanding detection performance, and ensuring that automation investments deliver measurable impact against evolving attack patterns.


Key Responsibilities

Product Strategy & Roadmap

  • Identify and prioritize automation opportunities based on attack trends, operational efficiency gains, and customer impact.
  • Define success metrics and track performance of automation features post-launch
  • Build business cases grounded in quantitative evidence—expected detection improvements, false positive trade-offs, operational cost reductions

Data Analysis & Opportunity Validation

  • Conduct hands-on analysis of detection data, traffic patterns, and attack signatures to identify automation opportunities
  • Work with telemetry and truth data to validate that proposed automation will perform as expected before engineering investment

Cross-Functional Collaboration

  • Partner with ML researchers & analysts to translate detection research into productized automation capabilities Work with engineering teams to scope, prioritize, and deliver automation features on schedule
  • Collaborate with SOC and customer-facing teams to understand operational pain points and incorporate feedback into product direction

Stakeholder Engagement

  • Communicate automation strategy and progress to executives, customers, and internal stakeholders
  • Gather customer feedback and market insights to inform product direction
  • Support sales and solutions teams with technical context on automation capabilities

Must Have

  • 5+ years of product management experience in security, fraud prevention, or data-intensive B2B SaaS products
  • Strong data analysis capability you're comfortable writing SQL, analyzing large datasets, and drawing actionable conclusions from ambiguous data
  • Experience working with ML/data science teams: you understand how models are trained, validated, and deployed, and can translate research into product requirements

Hands-On Technical Drive:

  • You are able to leverage LLMs and tools like Claude Code for analysis, prototyping and understanding code, and take ownership of complex problems, driving solutions forward with resourcefulness and urgency

Technical fluency:

  • Able to engage deeply with engineers on system design, trade-offs, and feasibility
  • Proven ability to define and ship products from concept through launch, with measurable business impact

Excellent communication skills:

  • Able to articulate complex technical concepts to diverse audiences and build alignment across stakeholders

Nice to Have

  • Experience in bot detection, fraud prevention, or cybersecurity domain
  • Familiarity with detection systems, classification pipelines, or anomaly detection
  • Proficiency with data tools beyond SQL (Python, notebooks, visualization tools)
  • Experience with Agile methodologies (Scrum, Kanban) and tools like JIRA/Confluence

Advanced degree in a technical or business field

This is a hybrid role based in Pune, India, with an expectation of three days per week in office. Relocation assistance is provided for candidates outside of Pune.


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