Senior Principal Technical Program Manager - ML Platform
Atlassian
Senior Principal Technical Program Manager - ML Platform
Job Description
Senior Principal Technical Program Manager - ML Platform
📋 Job Overview
The Senior Principal Technical Program Manager - ML Platform at Atlassian is responsible for driving the evolution of the ML platform by translating AI and Search innovations into practical solutions. This role involves defining long-term strategies and roadmaps, managing complex technical programs, and collaborating closely with engineering teams to enhance platform capabilities and deliver value to customers.
📍 Location: Seattle, United States
🏢 Category: Engineering
📅 Posted: 2025-12-11 02:37 PM
🎯 Key Responsibilities
- Understand and stay up-to-date on latest innovations in AI and Search
- Partner closely with engineering teams to translate innovations into practical platform evolution
- Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends
- Define long-term strategy and roadmap for platform and product components
- Translate business objectives into technical systems problems and prioritize solutions
- Define specific systems programs and create action plans for capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements
- Use technical understanding to partner with and influence engineers and architects
- Take a systematic approach to engineering problems including prioritizing tasks, scoping projects, defining objectives, and making consistent progress
- Manage the entire lifecycle of technical programs from initiation to forecasting, budgeting, scheduling
- Manage complex dependencies and projects with a broad scope across the company
✅ Required Qualifications
- 8+ years of experience on software teams as Development Manager, Technical Product Manager or TPM leading technical platforms areas
- Deep domain experience in AI and/or Search (e.g., Model Inference, Model Evaluation, Model Training, LLM Ops, Semantic Search, Search Relevance)
- Strategic thinking and ability to understand business objectives to translate them into technical problems and programs
- Technical understanding of systems involved
- Willingness to develop domain expertise in areas like storage, networking, authentication, capacity management, service deployments
- Experience defining and running end-to-end complex technical programs
- Strong leadership, organizational, and communication skills
⭐ Preferred Qualifications
- A B.S. in Software Engineering, Computer Science, or Technical Discipline
🛠️ Required Skills
- AI
- Search
- Model Inference
- Model Evaluation
- Model Training
- LLM Ops
- Semantic Search
- Search Relevance
- Strategic thinking
- Technical understanding of systems
- Storage
- Networking
- Authentication
- Capacity management
- Service deployments
- System flows
- Block architectures
- APIs
- Leadership
- Organizational skills
- Communication skills
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support employees, their families, and community engagement
Locations
- Seattle, United States
Salary
192,600 - 301,975 USD / yearly
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
- AIintermediate
- Searchintermediate
- Model Inferenceintermediate
- Model Evaluationintermediate
- Model Trainingintermediate
- LLM Opsintermediate
- Semantic Searchintermediate
- Search Relevanceintermediate
- Strategic thinkingintermediate
- Technical understanding of systemsintermediate
- Storageintermediate
- Networkingintermediate
- Authenticationintermediate
- Capacity managementintermediate
- Service deploymentsintermediate
- System flowsintermediate
- Block architecturesintermediate
- APIsintermediate
- Leadershipintermediate
- Organizational skillsintermediate
- Communication skillsintermediate
Required Qualifications
- 8+ years of experience on software teams as Development Manager, Technical Product Manager or TPM leading technical platforms areas (experience)
- Deep domain experience in AI and/or Search (e.g., Model Inference, Model Evaluation, Model Training, LLM Ops, Semantic Search, Search Relevance) (experience)
- Strategic thinking and ability to understand business objectives to translate them into technical problems and programs (experience)
- Technical understanding of systems involved (experience)
- Willingness to develop domain expertise in areas like storage, networking, authentication, capacity management, service deployments (experience)
- Experience defining and running end-to-end complex technical programs (experience)
- Strong leadership, organizational, and communication skills (experience)
Preferred Qualifications
- A B.S. in Software Engineering, Computer Science, or Technical Discipline (experience)
Responsibilities
- Understand and stay up-to-date on latest innovations in AI and Search
- Partner closely with engineering teams to translate innovations into practical platform evolution
- Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends
- Define long-term strategy and roadmap for platform and product components
- Translate business objectives into technical systems problems and prioritize solutions
- Define specific systems programs and create action plans for capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements
- Use technical understanding to partner with and influence engineers and architects
- Take a systematic approach to engineering problems including prioritizing tasks, scoping projects, defining objectives, and making consistent progress
- Manage the entire lifecycle of technical programs from initiation to forecasting, budgeting, scheduling
- Manage complex dependencies and projects with a broad scope across the company
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support employees, their families, and community engagement
Tags & Categories
Senior Principal Technical Program Manager - ML Platform
Atlassian
Senior Principal Technical Program Manager - ML Platform
Job Description
Senior Principal Technical Program Manager - ML Platform
📋 Job Overview
The Senior Principal Technical Program Manager - ML Platform at Atlassian is responsible for driving the evolution of the ML platform by translating AI and Search innovations into practical solutions. This role involves defining long-term strategies and roadmaps, managing complex technical programs, and collaborating closely with engineering teams to enhance platform capabilities and deliver value to customers.
📍 Location: Seattle, United States
🏢 Category: Engineering
📅 Posted: 2025-12-11 02:37 PM
🎯 Key Responsibilities
- Understand and stay up-to-date on latest innovations in AI and Search
- Partner closely with engineering teams to translate innovations into practical platform evolution
- Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends
- Define long-term strategy and roadmap for platform and product components
- Translate business objectives into technical systems problems and prioritize solutions
- Define specific systems programs and create action plans for capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements
- Use technical understanding to partner with and influence engineers and architects
- Take a systematic approach to engineering problems including prioritizing tasks, scoping projects, defining objectives, and making consistent progress
- Manage the entire lifecycle of technical programs from initiation to forecasting, budgeting, scheduling
- Manage complex dependencies and projects with a broad scope across the company
✅ Required Qualifications
- 8+ years of experience on software teams as Development Manager, Technical Product Manager or TPM leading technical platforms areas
- Deep domain experience in AI and/or Search (e.g., Model Inference, Model Evaluation, Model Training, LLM Ops, Semantic Search, Search Relevance)
- Strategic thinking and ability to understand business objectives to translate them into technical problems and programs
- Technical understanding of systems involved
- Willingness to develop domain expertise in areas like storage, networking, authentication, capacity management, service deployments
- Experience defining and running end-to-end complex technical programs
- Strong leadership, organizational, and communication skills
⭐ Preferred Qualifications
- A B.S. in Software Engineering, Computer Science, or Technical Discipline
🛠️ Required Skills
- AI
- Search
- Model Inference
- Model Evaluation
- Model Training
- LLM Ops
- Semantic Search
- Search Relevance
- Strategic thinking
- Technical understanding of systems
- Storage
- Networking
- Authentication
- Capacity management
- Service deployments
- System flows
- Block architectures
- APIs
- Leadership
- Organizational skills
- Communication skills
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support employees, their families, and community engagement
Locations
- Seattle, United States
Salary
192,600 - 301,975 USD / yearly
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
- AIintermediate
- Searchintermediate
- Model Inferenceintermediate
- Model Evaluationintermediate
- Model Trainingintermediate
- LLM Opsintermediate
- Semantic Searchintermediate
- Search Relevanceintermediate
- Strategic thinkingintermediate
- Technical understanding of systemsintermediate
- Storageintermediate
- Networkingintermediate
- Authenticationintermediate
- Capacity managementintermediate
- Service deploymentsintermediate
- System flowsintermediate
- Block architecturesintermediate
- APIsintermediate
- Leadershipintermediate
- Organizational skillsintermediate
- Communication skillsintermediate
Required Qualifications
- 8+ years of experience on software teams as Development Manager, Technical Product Manager or TPM leading technical platforms areas (experience)
- Deep domain experience in AI and/or Search (e.g., Model Inference, Model Evaluation, Model Training, LLM Ops, Semantic Search, Search Relevance) (experience)
- Strategic thinking and ability to understand business objectives to translate them into technical problems and programs (experience)
- Technical understanding of systems involved (experience)
- Willingness to develop domain expertise in areas like storage, networking, authentication, capacity management, service deployments (experience)
- Experience defining and running end-to-end complex technical programs (experience)
- Strong leadership, organizational, and communication skills (experience)
Preferred Qualifications
- A B.S. in Software Engineering, Computer Science, or Technical Discipline (experience)
Responsibilities
- Understand and stay up-to-date on latest innovations in AI and Search
- Partner closely with engineering teams to translate innovations into practical platform evolution
- Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends
- Define long-term strategy and roadmap for platform and product components
- Translate business objectives into technical systems problems and prioritize solutions
- Define specific systems programs and create action plans for capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements
- Use technical understanding to partner with and influence engineers and architects
- Take a systematic approach to engineering problems including prioritizing tasks, scoping projects, defining objectives, and making consistent progress
- Manage the entire lifecycle of technical programs from initiation to forecasting, budgeting, scheduling
- Manage complex dependencies and projects with a broad scope across the company
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support employees, their families, and community engagement
Tags & Categories