As a Product Manager – AI Automation & Engagement Platform, you will play a critical role in shaping the future of Sense’s intelligent automation and agentic AI ecosystem.
You will work on some of Sense’s most strategic platform capabilities, including:
Intelligent Workflow Automation
Orchestration & Automation Engine
AI-powered recruiter productivity experiences
Agentic assistants and copilots through Sense IQ
Cross-platform engagement automation and execution systems
This role sits at the intersection of AI, workflow orchestration, automation infrastructure, and recruiter productivity. You will collaborate closely with Engineering, Design, AI/ML teams, Customer Success, and GTM teams to conceptualize, build, and scale products that automate recruiting workflows and empower recruiters with AI-driven assistance.
This is an excellent opportunity for a high-potential Product Manager who enjoys solving complex platform and systems problems, thrives in ambiguity, and wants to grow into a larger product leadership role over time.
Role And Responsibilities
Product Strategy & Vision
Work closely with Product Leadership to define and evolve the vision for Sense’s AI Automation and Engagement Platform.
Contribute to the roadmap for:
Workflow automation capabilities
Orchestration and execution engines
AI-powered recruiter experiences
Agentic assistants and copilots
Cross-channel engagement automation
Identify opportunities where AI and automation can meaningfully improve recruiter productivity, operational efficiency, and candidate experience.
Stay current with advancements in Agentic AI, LLM ecosystems, workflow orchestration, and enterprise automation trends.
Product Execution & Delivery
Own end-to-end product execution for key platform capabilities and features.
Translate ambiguous business and customer problems into clear product requirements, workflows, PRDs, user stories, and acceptance criteria.
Collaborate closely with Engineering and Design teams as part of the EPD (Engineering–Product–Design) triad.
Drive feature prioritization, sprint planning, backlog grooming, and release coordination.
Work closely with QA teams to ensure product quality and comprehensive test coverage.
Perform User Acceptance Testing (UAT) and ensure delivered features meet customer and usability expectations.
AI & Automation Platform Development
Partner with AI/ML and Engineering teams to build scalable AI-driven workflows and automation systems.
Contribute to the design of intelligent orchestration capabilities across recruiting workflows and user journeys.
Help define interaction patterns and experiences for AI assistants, copilots, and agentic systems within Sense IQ.
Collaborate on platform capabilities involving:
Workflow engines
Event-driven systems
Integrations and APIs
Automation triggers and actions
AI-generated recommendations and actions
Balance customer flexibility with platform scalability, reliability, and maintainability.
Customer & Stakeholder Collaboration
Work closely with enterprise customers, recruiters, implementation teams, and customer-facing stakeholders to deeply understand pain points and workflow inefficiencies.
Conduct customer discovery sessions, product demos, and roadmap discussions.
Collaborate with Customer Success, Solutions Consulting, and Product Marketing teams for successful feature adoption and enablement.
Gather product feedback and usage insights to continuously improve platform experiences.
Metrics & Product Insights
Define and monitor key product and platform metrics such as:
Workflow adoption and automation rates
User engagement and productivity improvements
AI feature usage and effectiveness
Platform reliability and execution success rates
Customer satisfaction and adoption
Partner with Product Analytics and Data teams to derive actionable insights and identify optimization opportunities.
Professional Qualifications
BE/B.Tech or M.B.A with at least 4 - 7 years of experience in the product management role
Proficient in English, with good written and oral communication and presentation skills
Excellent academics throughout
Good System Design and Analytical skills to able to take a problem statement and conceptualize solutions for the same
Good knowledge of the software development life cycle
Ability to prioritize and balance multiple tasks
Strong organizational skills
Able to work harmoniously within a team environment
Ability to process and apply feedback constructively
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