Senior Forward Deployed Engineering Manager, AI (Remote)
Atlassian
Senior Forward Deployed Engineering Manager, AI (Remote)
Job Description
Senior Forward Deployed Engineering Manager, AI (Remote)
š Job Overview
As a Senior Forward Deployed Engineering Manager at Atlassian, you will lead a team in delivering AI-powered solutions directly to customers, collaborating across functions to drive innovation and business impact. This role involves managing the full lifecycle of AI solution deployment, from hiring and mentoring to overseeing production and ensuring compliance.
š Location: Bengaluru, India
š¢ Category: Engineering
š Posted: 2025-11-20 01:41 PM
šÆ 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 documentationāensuring rapid, high-quality delivery of customer-focused, production-ready solutions
- 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, maximizing business value and operational efficiency
- Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
- Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
ā Required Qualifications
- Bachelorās or Masterās 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, including 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, and experience with APIs, microservices, and enterprise integration
- Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
- Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
- Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
ā 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
š ļø Required Skills
- AI/ML
- generative AI
- LLMs
- agent-based frameworks
- Python
- JavaScript
- APIs
- microservices
- enterprise integration
- AI risk assessment
- data privacy
- GDPR
- communication
- collaboration
- strategic thinking
- innovative thinking
š Benefits & Perks
- health coverage
- paid volunteer days
- wellness resources
Locations
- Bengaluru, India
Salary
Estimated Salary Rangemedium confidence
3,500,000 - 5,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/MLintermediate
- generative AIintermediate
- LLMsintermediate
- agent-based frameworksintermediate
- Pythonintermediate
- JavaScriptintermediate
- APIsintermediate
- microservicesintermediate
- enterprise integrationintermediate
- AI risk assessmentintermediate
- data privacyintermediate
- GDPRintermediate
- communicationintermediate
- collaborationintermediate
- strategic thinkingintermediate
- innovative thinkingintermediate
Required Qualifications
- Bachelorās or Masterās 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, including 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, and experience with APIs, microservices, and enterprise integration (experience)
- Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments (experience)
- Strong communication and collaboration skills, with 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, with a 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 documentationāensuring rapid, high-quality delivery of customer-focused, production-ready solutions
- 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, maximizing business value and operational efficiency
- Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
- Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
- 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 Forward Deployed Engineering Manager, AI (Remote)
Atlassian
Senior Forward Deployed Engineering Manager, AI (Remote)
Job Description
Senior Forward Deployed Engineering Manager, AI (Remote)
š Job Overview
As a Senior Forward Deployed Engineering Manager at Atlassian, you will lead a team in delivering AI-powered solutions directly to customers, collaborating across functions to drive innovation and business impact. This role involves managing the full lifecycle of AI solution deployment, from hiring and mentoring to overseeing production and ensuring compliance.
š Location: Bengaluru, India
š¢ Category: Engineering
š Posted: 2025-11-20 01:41 PM
šÆ 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 documentationāensuring rapid, high-quality delivery of customer-focused, production-ready solutions
- 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, maximizing business value and operational efficiency
- Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
- Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
ā Required Qualifications
- Bachelorās or Masterās 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, including 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, and experience with APIs, microservices, and enterprise integration
- Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
- Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
- Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
ā 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
š ļø Required Skills
- AI/ML
- generative AI
- LLMs
- agent-based frameworks
- Python
- JavaScript
- APIs
- microservices
- enterprise integration
- AI risk assessment
- data privacy
- GDPR
- communication
- collaboration
- strategic thinking
- innovative thinking
š Benefits & Perks
- health coverage
- paid volunteer days
- wellness resources
Locations
- Bengaluru, India
Salary
Estimated Salary Rangemedium confidence
3,500,000 - 5,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/MLintermediate
- generative AIintermediate
- LLMsintermediate
- agent-based frameworksintermediate
- Pythonintermediate
- JavaScriptintermediate
- APIsintermediate
- microservicesintermediate
- enterprise integrationintermediate
- AI risk assessmentintermediate
- data privacyintermediate
- GDPRintermediate
- communicationintermediate
- collaborationintermediate
- strategic thinkingintermediate
- innovative thinkingintermediate
Required Qualifications
- Bachelorās or Masterās 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, including 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, and experience with APIs, microservices, and enterprise integration (experience)
- Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments (experience)
- Strong communication and collaboration skills, with 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, with a 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 documentationāensuring rapid, high-quality delivery of customer-focused, production-ready solutions
- 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, maximizing business value and operational efficiency
- Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
- Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
- 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