Principal Product Manager, AI Quality
Atlassian
Principal Product Manager, AI Quality
Job Description
Principal Product Manager, AI Quality
📋 Job Overview
As a Principal Product Manager for AI Quality at Atlassian, you will shape and execute the vision for delivering high-quality AI products. Your role involves defining strategic roadmaps, improving AI model reliability, and collaborating across teams to enhance user experiences. You will leverage deep customer insights to drive continuous improvements in AI quality.
📍 Location: Mountain View, United States or Remote (Remote/Hybrid)
🏢 Category: Product Management
📅 Posted: 2025-12-02 11:59 PM
🎯 Key Responsibilities
- Define and drive the strategic vision and roadmap for AI quality for your feature areas, clearly articulating the desired outcomes and the path to achieve them
- Lead initiatives to improve the quality, reliability, and trustworthiness of AI models and experiences, ensuring alignment with organizational goals and user expectations
- Partner with engineering, data science, product, and design teams to identify opportunities and implement improvements in AI quality
- Advocate for relevance and quality standards, influencing stakeholders and championing initiatives that elevate user experience
- Develop deep customer insights to pinpoint gaps in quality, proactively addressing issues to enhance user satisfaction and engagement
- Regularly interact with users and internal stakeholders to validate quality enhancements and prioritize feature improvements
- Create compelling narratives and communicate progress effectively to customers, stakeholders, and the broader community, highlighting Atlassian’s advancements in search relevance and quality
✅ Required Qualifications
- 8+ years of product management experience, with substantial recent experience driving relevance and quality for a consumer or enterprise AI product
- Proven proficiency in defining and improving on relevance and quality measurement metrics
- Strong technical subject matter expertise, with a comprehensive understanding of search/ads technologies, natural language processing, and machine learning principles
- Data-driven decision-making skills, including the ability to independently analyze complex data sets, identify trends, and demonstrate the customer impact of improvements
- Deep user empathy and commitment to delivering exceptional experiences, with attention to detail that drives continuous improvement
- Exceptional communication and stakeholder management skills, capable of conveying complex technical concepts clearly to both technical and non-technical audiences, including senior executives
- Demonstrated ability to influence and drive cross-functional initiatives without direct authority, maintaining alignment across diverse teams
⭐ Preferred Qualifications
- Bachelor's or Master’s degree in Computer Science, Data Science, or a related field
🛠️ Required Skills
- Product management
- Relevance and quality measurement
- Search/ads technologies
- Natural language processing
- Machine learning
- Data analysis
- User empathy
- Communication
- Stakeholder management
- Cross-functional collaboration
- Storytelling
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
Locations
- Mountain View, United States or Remote (Remote)
Salary
Estimated Salary Rangemedium confidence
250,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Product managementintermediate
- Relevance and quality measurementintermediate
- Search/ads technologiesintermediate
- Natural language processingintermediate
- Machine learningintermediate
- Data analysisintermediate
- User empathyintermediate
- Communicationintermediate
- Stakeholder managementintermediate
- Cross-functional collaborationintermediate
- Storytellingintermediate
Required Qualifications
- 8+ years of product management experience, with substantial recent experience driving relevance and quality for a consumer or enterprise AI product (experience)
- Proven proficiency in defining and improving on relevance and quality measurement metrics (experience)
- Strong technical subject matter expertise, with a comprehensive understanding of search/ads technologies, natural language processing, and machine learning principles (experience)
- Data-driven decision-making skills, including the ability to independently analyze complex data sets, identify trends, and demonstrate the customer impact of improvements (experience)
- Deep user empathy and commitment to delivering exceptional experiences, with attention to detail that drives continuous improvement (experience)
- Exceptional communication and stakeholder management skills, capable of conveying complex technical concepts clearly to both technical and non-technical audiences, including senior executives (experience)
- Demonstrated ability to influence and drive cross-functional initiatives without direct authority, maintaining alignment across diverse teams (experience)
Preferred Qualifications
- Bachelor's or Master’s degree in Computer Science, Data Science, or a related field (experience)
Responsibilities
- Define and drive the strategic vision and roadmap for AI quality for your feature areas, clearly articulating the desired outcomes and the path to achieve them
- Lead initiatives to improve the quality, reliability, and trustworthiness of AI models and experiences, ensuring alignment with organizational goals and user expectations
- Partner with engineering, data science, product, and design teams to identify opportunities and implement improvements in AI quality
- Advocate for relevance and quality standards, influencing stakeholders and championing initiatives that elevate user experience
- Develop deep customer insights to pinpoint gaps in quality, proactively addressing issues to enhance user satisfaction and engagement
- Regularly interact with users and internal stakeholders to validate quality enhancements and prioritize feature improvements
- Create compelling narratives and communicate progress effectively to customers, stakeholders, and the broader community, highlighting Atlassian’s advancements in search relevance and quality
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
Tags & Categories
Principal Product Manager, AI Quality
Atlassian
Principal Product Manager, AI Quality
Job Description
Principal Product Manager, AI Quality
📋 Job Overview
As a Principal Product Manager for AI Quality at Atlassian, you will shape and execute the vision for delivering high-quality AI products. Your role involves defining strategic roadmaps, improving AI model reliability, and collaborating across teams to enhance user experiences. You will leverage deep customer insights to drive continuous improvements in AI quality.
📍 Location: Mountain View, United States or Remote (Remote/Hybrid)
🏢 Category: Product Management
📅 Posted: 2025-12-02 11:59 PM
🎯 Key Responsibilities
- Define and drive the strategic vision and roadmap for AI quality for your feature areas, clearly articulating the desired outcomes and the path to achieve them
- Lead initiatives to improve the quality, reliability, and trustworthiness of AI models and experiences, ensuring alignment with organizational goals and user expectations
- Partner with engineering, data science, product, and design teams to identify opportunities and implement improvements in AI quality
- Advocate for relevance and quality standards, influencing stakeholders and championing initiatives that elevate user experience
- Develop deep customer insights to pinpoint gaps in quality, proactively addressing issues to enhance user satisfaction and engagement
- Regularly interact with users and internal stakeholders to validate quality enhancements and prioritize feature improvements
- Create compelling narratives and communicate progress effectively to customers, stakeholders, and the broader community, highlighting Atlassian’s advancements in search relevance and quality
✅ Required Qualifications
- 8+ years of product management experience, with substantial recent experience driving relevance and quality for a consumer or enterprise AI product
- Proven proficiency in defining and improving on relevance and quality measurement metrics
- Strong technical subject matter expertise, with a comprehensive understanding of search/ads technologies, natural language processing, and machine learning principles
- Data-driven decision-making skills, including the ability to independently analyze complex data sets, identify trends, and demonstrate the customer impact of improvements
- Deep user empathy and commitment to delivering exceptional experiences, with attention to detail that drives continuous improvement
- Exceptional communication and stakeholder management skills, capable of conveying complex technical concepts clearly to both technical and non-technical audiences, including senior executives
- Demonstrated ability to influence and drive cross-functional initiatives without direct authority, maintaining alignment across diverse teams
⭐ Preferred Qualifications
- Bachelor's or Master’s degree in Computer Science, Data Science, or a related field
🛠️ Required Skills
- Product management
- Relevance and quality measurement
- Search/ads technologies
- Natural language processing
- Machine learning
- Data analysis
- User empathy
- Communication
- Stakeholder management
- Cross-functional collaboration
- Storytelling
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
Locations
- Mountain View, United States or Remote (Remote)
Salary
Estimated Salary Rangemedium confidence
250,000 - 350,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Product managementintermediate
- Relevance and quality measurementintermediate
- Search/ads technologiesintermediate
- Natural language processingintermediate
- Machine learningintermediate
- Data analysisintermediate
- User empathyintermediate
- Communicationintermediate
- Stakeholder managementintermediate
- Cross-functional collaborationintermediate
- Storytellingintermediate
Required Qualifications
- 8+ years of product management experience, with substantial recent experience driving relevance and quality for a consumer or enterprise AI product (experience)
- Proven proficiency in defining and improving on relevance and quality measurement metrics (experience)
- Strong technical subject matter expertise, with a comprehensive understanding of search/ads technologies, natural language processing, and machine learning principles (experience)
- Data-driven decision-making skills, including the ability to independently analyze complex data sets, identify trends, and demonstrate the customer impact of improvements (experience)
- Deep user empathy and commitment to delivering exceptional experiences, with attention to detail that drives continuous improvement (experience)
- Exceptional communication and stakeholder management skills, capable of conveying complex technical concepts clearly to both technical and non-technical audiences, including senior executives (experience)
- Demonstrated ability to influence and drive cross-functional initiatives without direct authority, maintaining alignment across diverse teams (experience)
Preferred Qualifications
- Bachelor's or Master’s degree in Computer Science, Data Science, or a related field (experience)
Responsibilities
- Define and drive the strategic vision and roadmap for AI quality for your feature areas, clearly articulating the desired outcomes and the path to achieve them
- Lead initiatives to improve the quality, reliability, and trustworthiness of AI models and experiences, ensuring alignment with organizational goals and user expectations
- Partner with engineering, data science, product, and design teams to identify opportunities and implement improvements in AI quality
- Advocate for relevance and quality standards, influencing stakeholders and championing initiatives that elevate user experience
- Develop deep customer insights to pinpoint gaps in quality, proactively addressing issues to enhance user satisfaction and engagement
- Regularly interact with users and internal stakeholders to validate quality enhancements and prioritize feature improvements
- Create compelling narratives and communicate progress effectively to customers, stakeholders, and the broader community, highlighting Atlassian’s advancements in search relevance and quality
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
Tags & Categories