Senior Product Manager for AI-Driven Ticketing Product

Lahore - Pakistan

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Department:

Product Management

Job Summary

About 7Vals
7Vals is a collective of passionate innovators and builders applying best practices to ensure awesomeness. We build disruptive enterprise software products used by Netflix NBC Universal Disney John Deere BBC and more.

Role Overview

This role is the product lead for our next generation AI-Powered Ticketing System - a product built for mid-market IT departments that need automation intelligence and predictable execution. You will define and deliver a platform that uses workflows automations knowledge systems and AI agents working together to drive resolution to IT and ticket incidents.

You will own major product pillars end-to-end and operate as both a systems thinker and rapid builder shaping how human and AI workflows come together into a unified product experience.

Who You Are

Lightning-fast executor: Bias toward action momentum and learning. Leverages AI tools as a force multiplier deciding building and validating in hours not days.
Extreme owner: You pursue the outcome results not just the delivery. You really care about the product making it better and better for customers by being a critical evaluator of your solutions spotting gaps and driving improvements.
Self-reflective learner: Regularly audits your own playbook seeking feedback iterating on your process and mentoring peers in rapid skill growth.
Master problem-solver: Breaks down ambiguity into clear hypotheses rapid experiments and creative high-impact solutions.
Rapid domain learner: Drinks from the firehose quickly developing fluency in IT solutions AI workflows and customer pain points to drive meaningful growth.
Teamwork Partner: Cultivates trust with engineers data scientists stakeholders and customers deeply listening to uncover root problems and co-create exceptional solutions.
Systems Thinker: You think holistically how multiple AI agents knowledge bases and workflows connect into a unified system.

Key Responsibilities

Lead Vision for AI-powered Ticketing Product
1. Define how LLMs tools agents and knowledge systems work together to power an ITSM CoPilot.
2. Own the model for autonomous resolution: intent detection agent orchestration guardrails knowledge integration and human escalation.
3. Establish principles for safety accountability and predictable agent behavior.
Drive Research-Led Innovation
1. Run rapid discovery cycles combining user interviews workflow observation competitive research and AI capability testing.
2. Frame every opportunity with clearly documented problem statements hypothesis trees and impact sizing before solutionizing.
3. Translate ambiguous IT workflows (onboarding troubleshooting ticket resolution) into structured sequences where humans systems and AI Agents work together to resolve tickets.
Build Fast Learn Faster
1. Ship in short cycles: MVPs in weeks not months. Wireframes scripts or low-code demos are expected deliverables.
2. Use AI tools pre-trained models and no-code stacks to validate ideas in-market quickly.
Pivot with Purpose
1. Design tight research build measure cycles to ensure hypotheses are either proven or discarded.
2. Monitor qualitative and quantitative feedback loops to trigger fast course corrections.
3. Set directional bets but detach from sunk cost pivot cleanly when hypotheses fail.
4. Communicate pivots transparently to keep teams and stakeholders aligned.
Manage Speed Without Chaos
1. Lead cross-functional team around monthly OKRs tied to your North-Star metric.
2. Ensure the team works on the right problems not just whats easy to build.
3. Provide a clear monthly summary of direction progress/risks experiments lessons and next-sprint plans.
4. Coach PMs on hypothesis-led decision-making and owning outcomes.

Required Skills & Qualifications

4-7 years of PM experience including at Senior level in Business SaaS Business workflows/automations ITAM/ITSM or AI-powered products
Systems Thinking: Demonstrated ability to build plans composed of multiple engines services or components. Ability to break down ambiguous problems into well structured workflows and systems.
Technical Aptitude: Conceptual grasp of IT solutions and AI/ML workflows; comfortable engaging with APIs data models and analytics tools
Mindset: thrives on ambiguity loves technology goal driven (owns the outcome) data-driven customer obsession/research bias toward action
Excellent communication collaboration and leadership skills
Degree in Computer Science AI or technical related field
Not required but is a key plus: Experience building Agentic AI systems or ITAM/ITSM systems startup or hyper-growth experience

Required Experience:

Senior IC

About 7Vals7Vals is a collective of passionate innovators and builders applying best practices to ensure awesomeness. We build disruptive enterprise software products used by Netflix NBC Universal Disney John Deere BBC and more.Role OverviewThis role is the product lead for our next generation AI-Po...

Role Overview

You will own major product pillars end-to-end and operate as both a systems thinker and rapid builder shaping how human and AI workflows come together into a unified product experience.

Who You Are

Lightning-fast executor: Bias toward action momentum and learning. Leverages AI tools as a force multiplier deciding building and validating in hours not days.
Extreme owner: You pursue the outcome results not just the delivery. You really care about the product making it better and better for customers by being a critical evaluator of your solutions spotting gaps and driving improvements.
Self-reflective learner: Regularly audits your own playbook seeking feedback iterating on your process and mentoring peers in rapid skill growth.
Master problem-solver: Breaks down ambiguity into clear hypotheses rapid experiments and creative high-impact solutions.
Rapid domain learner: Drinks from the firehose quickly developing fluency in IT solutions AI workflows and customer pain points to drive meaningful growth.
Teamwork Partner: Cultivates trust with engineers data scientists stakeholders and customers deeply listening to uncover root problems and co-create exceptional solutions.
Systems Thinker: You think holistically how multiple AI agents knowledge bases and workflows connect into a unified system.

Key Responsibilities

Lead Vision for AI-powered Ticketing Product
1. Define how LLMs tools agents and knowledge systems work together to power an ITSM CoPilot.
2. Own the model for autonomous resolution: intent detection agent orchestration guardrails knowledge integration and human escalation.
3. Establish principles for safety accountability and predictable agent behavior.
Drive Research-Led Innovation
1. Run rapid discovery cycles combining user interviews workflow observation competitive research and AI capability testing.
2. Frame every opportunity with clearly documented problem statements hypothesis trees and impact sizing before solutionizing.
3. Translate ambiguous IT workflows (onboarding troubleshooting ticket resolution) into structured sequences where humans systems and AI Agents work together to resolve tickets.
Build Fast Learn Faster
1. Ship in short cycles: MVPs in weeks not months. Wireframes scripts or low-code demos are expected deliverables.
2. Use AI tools pre-trained models and no-code stacks to validate ideas in-market quickly.
Pivot with Purpose
1. Design tight research build measure cycles to ensure hypotheses are either proven or discarded.
2. Monitor qualitative and quantitative feedback loops to trigger fast course corrections.
3. Set directional bets but detach from sunk cost pivot cleanly when hypotheses fail.
4. Communicate pivots transparently to keep teams and stakeholders aligned.
Manage Speed Without Chaos
1. Lead cross-functional team around monthly OKRs tied to your North-Star metric.
2. Ensure the team works on the right problems not just whats easy to build.
3. Provide a clear monthly summary of direction progress/risks experiments lessons and next-sprint plans.
4. Coach PMs on hypothesis-led decision-making and owning outcomes.

Required Skills & Qualifications

4-7 years of PM experience including at Senior level in Business SaaS Business workflows/automations ITAM/ITSM or AI-powered products
Systems Thinking: Demonstrated ability to build plans composed of multiple engines services or components. Ability to break down ambiguous problems into well structured workflows and systems.
Technical Aptitude: Conceptual grasp of IT solutions and AI/ML workflows; comfortable engaging with APIs data models and analytics tools
Mindset: thrives on ambiguity loves technology goal driven (owns the outcome) data-driven customer obsession/research bias toward action
Excellent communication collaboration and leadership skills
Degree in Computer Science AI or technical related field
Not required but is a key plus: Experience building Agentic AI systems or ITAM/ITSM systems startup or hyper-growth experience

Required Experience:

Senior IC

Key Skills

Time Management
Data Analytics
Analytical
Agile
Requirement Gathering
Strategic thinking
Visio
Communication
Problem Solving
Market Research
UML
Cross Functional Teams

Apply Now

About Company

7Vals

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