Senior Engineering Manager, AI (Remote)
Atlassian
Senior Engineering Manager, AI (Remote)
Job Description
Senior Engineering Manager, AI (Remote)
📋 Job Overview
As a Senior Engineering Manager at Atlassian, you will lead the Forward Deployed Engineering team to deliver AI-powered solutions directly to customers. This role involves collaborating with cross-functional teams to innovate and solve complex problems using Atlassian's AI capabilities, making a significant impact on business outcomes in a fast-paced environment.
📍 Location: London, United Kingdom
🏢 Category: Engineering
📅 Posted: 2025-11-12 03:08 PM
🎯 Key Responsibilities
- Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
- Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation
- Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
- Champion the adoption of AI-augmented workflow automation within customer environments
- Oversee the end-to-end deployment of AI solutions into production
- Navigate risk and compliance requirements, including AI risk assessment, data privacy, and regulatory frameworks
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
✅ Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of experience managing software engineering teams at scale
- Experience delivering impactful AI/ML solutions in production environments
- Experience as a founding or forward-deployed engineer in 0-to-1 product development
- Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
- Proficiency in Python, JavaScript, or similar languages
- Experience with APIs, microservices, and enterprise integration
- Demonstrated ability to solve complex, ambiguous problems
- Strong communication and collaboration skills
- Experience influencing cross-functional teams without formal authority
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
- Strategic and innovative thinking
- Track record of aligning technical solutions to business goals
⭐ Preferred Qualifications
- Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features
- Familiarity with regulated industries (e.g., finance, healthcare)
- Experience deploying AI solutions to complex production systems at scale
- Prior experience mentoring or leading engineering teams
🛠️ Required Skills
- AI/ML solution design
- Code quality
- Scalable architecture
- Testing
- Debugging
- Documentation
- Data analysis
- Workflow automation
- Production deployment
- Risk assessment
- Data privacy
- Regulatory compliance
- Communication
- Collaboration
- Influencing
- Strategic thinking
- Innovative thinking
- Python
- JavaScript
- APIs
- Microservices
- Enterprise integration
- Generative AI
- LLMs
- Agent-based frameworks
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- London, United Kingdom
Salary
Estimated Salary Rangemedium confidence
100,000 - 140,000 GBP / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML solution designintermediate
- Code qualityintermediate
- Scalable architectureintermediate
- Testingintermediate
- Debuggingintermediate
- Documentationintermediate
- Data analysisintermediate
- Workflow automationintermediate
- Production deploymentintermediate
- Risk assessmentintermediate
- Data privacyintermediate
- Regulatory complianceintermediate
- Communicationintermediate
- Collaborationintermediate
- Influencingintermediate
- Strategic thinkingintermediate
- Innovative thinkingintermediate
- Pythonintermediate
- JavaScriptintermediate
- APIsintermediate
- Microservicesintermediate
- Enterprise integrationintermediate
- Generative AIintermediate
- LLMsintermediate
- Agent-based frameworksintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (experience)
- 5+ years of experience managing software engineering teams at scale (experience)
- Experience delivering impactful AI/ML solutions in production environments (experience)
- Experience as a founding or forward-deployed engineer in 0-to-1 product development (experience)
- Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks (experience)
- Proficiency in Python, JavaScript, or similar languages (experience)
- Experience with APIs, microservices, and enterprise integration (experience)
- Demonstrated ability to solve complex, ambiguous problems (experience)
- Strong communication and collaboration skills (experience)
- Experience influencing cross-functional teams without formal authority (experience)
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR) (experience)
- Strategic and innovative thinking (experience)
- Track record of aligning technical solutions to business goals (experience)
Preferred Qualifications
- Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features (experience)
- Familiarity with regulated industries (e.g., finance, healthcare) (experience)
- Experience deploying AI solutions to complex production systems at scale (experience)
- Prior experience mentoring or leading engineering teams (experience)
Responsibilities
- Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
- Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation
- Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
- Champion the adoption of AI-augmented workflow automation within customer environments
- Oversee the end-to-end deployment of AI solutions into production
- Navigate risk and compliance requirements, including AI risk assessment, data privacy, and regulatory frameworks
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories
Senior Engineering Manager, AI (Remote)
Atlassian
Senior Engineering Manager, AI (Remote)
Job Description
Senior Engineering Manager, AI (Remote)
📋 Job Overview
As a Senior Engineering Manager at Atlassian, you will lead the Forward Deployed Engineering team to deliver AI-powered solutions directly to customers. This role involves collaborating with cross-functional teams to innovate and solve complex problems using Atlassian's AI capabilities, making a significant impact on business outcomes in a fast-paced environment.
📍 Location: London, United Kingdom
🏢 Category: Engineering
📅 Posted: 2025-11-12 03:08 PM
🎯 Key Responsibilities
- Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
- Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation
- Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
- Champion the adoption of AI-augmented workflow automation within customer environments
- Oversee the end-to-end deployment of AI solutions into production
- Navigate risk and compliance requirements, including AI risk assessment, data privacy, and regulatory frameworks
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
✅ Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of experience managing software engineering teams at scale
- Experience delivering impactful AI/ML solutions in production environments
- Experience as a founding or forward-deployed engineer in 0-to-1 product development
- Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
- Proficiency in Python, JavaScript, or similar languages
- Experience with APIs, microservices, and enterprise integration
- Demonstrated ability to solve complex, ambiguous problems
- Strong communication and collaboration skills
- Experience influencing cross-functional teams without formal authority
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
- Strategic and innovative thinking
- Track record of aligning technical solutions to business goals
⭐ Preferred Qualifications
- Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features
- Familiarity with regulated industries (e.g., finance, healthcare)
- Experience deploying AI solutions to complex production systems at scale
- Prior experience mentoring or leading engineering teams
🛠️ Required Skills
- AI/ML solution design
- Code quality
- Scalable architecture
- Testing
- Debugging
- Documentation
- Data analysis
- Workflow automation
- Production deployment
- Risk assessment
- Data privacy
- Regulatory compliance
- Communication
- Collaboration
- Influencing
- Strategic thinking
- Innovative thinking
- Python
- JavaScript
- APIs
- Microservices
- Enterprise integration
- Generative AI
- LLMs
- Agent-based frameworks
🎁 Benefits & Perks
- Health coverage
- Paid volunteer days
- Wellness resources
Locations
- London, United Kingdom
Salary
Estimated Salary Rangemedium confidence
100,000 - 140,000 GBP / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML solution designintermediate
- Code qualityintermediate
- Scalable architectureintermediate
- Testingintermediate
- Debuggingintermediate
- Documentationintermediate
- Data analysisintermediate
- Workflow automationintermediate
- Production deploymentintermediate
- Risk assessmentintermediate
- Data privacyintermediate
- Regulatory complianceintermediate
- Communicationintermediate
- Collaborationintermediate
- Influencingintermediate
- Strategic thinkingintermediate
- Innovative thinkingintermediate
- Pythonintermediate
- JavaScriptintermediate
- APIsintermediate
- Microservicesintermediate
- Enterprise integrationintermediate
- Generative AIintermediate
- LLMsintermediate
- Agent-based frameworksintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (experience)
- 5+ years of experience managing software engineering teams at scale (experience)
- Experience delivering impactful AI/ML solutions in production environments (experience)
- Experience as a founding or forward-deployed engineer in 0-to-1 product development (experience)
- Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks (experience)
- Proficiency in Python, JavaScript, or similar languages (experience)
- Experience with APIs, microservices, and enterprise integration (experience)
- Demonstrated ability to solve complex, ambiguous problems (experience)
- Strong communication and collaboration skills (experience)
- Experience influencing cross-functional teams without formal authority (experience)
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR) (experience)
- Strategic and innovative thinking (experience)
- Track record of aligning technical solutions to business goals (experience)
Preferred Qualifications
- Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features (experience)
- Familiarity with regulated industries (e.g., finance, healthcare) (experience)
- Experience deploying AI solutions to complex production systems at scale (experience)
- Prior experience mentoring or leading engineering teams (experience)
Responsibilities
- Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence
- Mentor and coach your forward-deployed engineering team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation
- Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
- Champion the adoption of AI-augmented workflow automation within customer environments
- Oversee the end-to-end deployment of AI solutions into production
- Navigate risk and compliance requirements, including AI risk assessment, data privacy, and regulatory frameworks
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
Benefits
- general: Health coverage
- general: Paid volunteer days
- general: Wellness resources
Tags & Categories