Senior Development Manager, Platforms Development AI/ML San Francisco, CA
San Francisco, CA, USA
- Pay
$163,000–292,820/year · BaseAnnual period assumed · Location-specific pay — pay source
Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $163,000 and $292,820. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingLead and mentor a team of engineers in the development and deployment of AI/ML solutions
Collaborate with cross-functional teams including product management, data science, data, and cloud infrastructure to define and execute the AI/ML platform roadmap
Create and manage plans, track, and ensure tactical execution and adherence to budgets, schedules, plans, and performance
From the employer’s posting
Responsibilities Lead and mentor a team of engineers in the development and deployment of AI/ML solutions Collaborate with cross-functional teams including product management, data science, data, and cloud infrastructure to define and execute the AI/ML platform roadmap
Lead and mentor a team of engineers in the development and deployment of AI/ML solutions Collaborate with cross-functional teams including product management, data science, data, and cloud infrastructure to define and execute the AI/ML platform roadmap Provide guidance to the design and architecture of scalable, reliable, and efficient AI/ML systems and drive critical technology decisions
Driving the execution of the platform strategy following principles of agile methodology and best practices in software development, code quality, and security standards Create and manage plans, track, and ensure tactical execution and adherence to budgets, schedules, plans, and performance Actively participate in coding review processes, and problem-solving alongside your team
What you’ll bring
All qualificationsCore experience
- 12+ years of experience of software development with 3+ years of experience as a manager
- Ability to inspire, motivate, and guide team members towards achieving project goals
- Proven experience leading and mentoring software and ML development teams
- Experience with design, build and running scalable, high-performance systems production applications on cloud platforms such as AWS, Azure, or Google Cloud Platform and containerization technologies (Docker, Kubernetes)
- Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
- Experience working with complex agentic AI architectures, API ecosystems, guardrails, context management and other best of breed AI/ML offerings
Qualification wording
12+ years of experience of software development with 3+ years of experience as a manager
Ability to inspire, motivate, and guide team members towards achieving project goals
Proven experience leading and mentoring software and ML development teams
Experience with design, build and running scalable, high-performance systems production applications on cloud platforms such as AWS, Azure, or Google Cloud Platform and containerization technologies (Docker, Kubernetes)
Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
Experience working with complex agentic AI architectures, API ecosystems, guardrails, context management and other best of breed AI/ML offerings
Tools in this posting
- AWS
- Azure
- Docker
- SageMaker
- Google Cloud (GCP)
- Kubernetes
Source — Tool mentions in context
- Proven experience leading and mentoring software and ML development teams - Experience with design, build and running scalable, high-performance systems production applications on cloud platforms such as AWS, Azure, or Google Cloud Platform and containerization technologies (Docker, Kubernetes) - Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
- Experience with design, build and running scalable, high-performance systems production applications on cloud platforms such as AWS, Azure, or Google Cloud Platform and containerization technologies (Docker, Kubernetes) - Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning - Experience working with complex agentic AI architectures, API ecosystems, guardrails, context management and other best of breed AI/ML offerings
Benefits in the posting
Full benefits wording- From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
From the employer’s posting.
About Autodesk
We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
In the employer’s words · Read in context
Job description
Job Requisition ID #
Position Overview
Autodesk is seeking a passionate and experienced Senior Software Development Manager with deep experience leading enterprise-scale platform development to lead our talented team of software and ML engineers in building AMP, our next-generation machine learning platform.
You will play a key role in developing the platform that powers the next generation of Agentic AI features across Autodesk products.
A successful candidate will require providing technical leadership, driving the technical strategy, execution, and delivery of scalable AI/ML platform, ensuring alignment with organizational goals and priorities, driving adoption of the Platform. This role requires a blend of technical expertise in AI/ML technologies, strong leadership skills, and a proven track record of delivering complex projects on time and within budget. A successful candidate will deliver while motivating the team and instilling a culture of development excellence.
Location: The role is based in the San Francisco Bay Area. Hybrid/Remote.
Responsibilities
Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
Collaborate with cross-functional teams including product management, data science, data, and cloud infrastructure to define and execute the AI/ML platform roadmap
Provide guidance to the design and architecture of scalable, reliable, and efficient AI/ML systems and drive critical technology decisions
Driving the execution of the platform strategy following principles of agile methodology and best practices in software development, code quality, and security standards
Create and manage plans, track, and ensure tactical execution and adherence to budgets, schedules, plans, and performance
Actively participate in coding review processes, and problem-solving alongside your team
Build and foster a high-performance culture, mentor team members and provide your team with the tools and motivation to make things happen
Actively participate in the hiring process to attract and onboard top-tier development talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision
Minimum Qualifications
BS/MS in Computer Science, Engineering, or a related field. (MS preferred)
12+ years of experience of software development with 3+ years of experience as a manager
Proven experience leading and mentoring software and ML development teams
Experience with design, build and running scalable, high-performance systems production applications on cloud platforms such as AWS, Azure, or Google Cloud Platform and containerization technologies (Docker, Kubernetes)
Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
Experience working with complex agentic AI architectures, API ecosystems, guardrails, context management and other best of breed AI/ML offerings
Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment
Expertise in CI/CD, automation tools, and practices for machine learning lifecycle management
Strong background in AI/ML with experience in deep learning, statistical modeling, and neural networks
Experience with Scrum and agile development processes and methodologies.
Excellent communication and written skills
BS or MS in Computer Science or related technical field
Ability to inspire, motivate, and guide team members towards achieving project goals
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Benefits
From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/
Salary transparency
Equal Employment Opportunity
At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.
Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging
In-Person Onboarding and Identity Verification
This role may require in-person onboarding and/or in-person ID verification.
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on autodesk.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary transparency Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $163,000 and $292,820. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity
- Location & working pattern
San Francisco, CA, USA
A successful candidate will require providing technical leadership, driving the technical strategy, execution, and delivery of scalable AI/ML platform, ensuring alignment with organizational goals and priorities, driving adoption of the Platform. This role requires a blend of technical expertise in AI/ML technologies, strong leadership skills, and a proven track record of delivering complex projects on time and within budget. A successful candidate will deliver while motivating the team and instilling a culture of development excellence. Location: The role is based in the San Francisco Bay Area. Hybrid/Remote. Responsibilities
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- May 1, 2026
- Recorded sightings
- 231
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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