Resume and JobRESUME AND JOB
Atlassian logo

Senior Engineering Manager, AI (Remote)

Atlassian

Senior Engineering Manager, AI (Remote)

Atlassian logo

Atlassian

full-time

Posted: November 12, 2025

Number of Vacancies: 1

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

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Atlassian logo

Senior Engineering Manager, AI (Remote)

Atlassian

Senior Engineering Manager, AI (Remote)

Atlassian logo

Atlassian

full-time

Posted: November 12, 2025

Number of Vacancies: 1

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

Target Your Resume for "Senior Engineering Manager, AI (Remote)" , Atlassian

Get personalized recommendations to optimize your resume specifically for Senior Engineering Manager, AI (Remote). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Engineering Manager, AI (Remote)" , Atlassian

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

EngineeringLondonUnited KingdomEngineering

Related Jobs You May Like

No related jobs found at the moment.