
Manager, AI/ML Ops Engineering (Hybrid in Bangalore)
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. As the Intelligent Work Management Platform, we are redefining the velocity of work by uniting people, data, and AI to move businesses forward. We don’t just automate tasks; we eliminate execution silos and turn strategic vision into measurable enterprise impact. We’re creating a space to think big and take action, because when challenge meets purpose and AI-powered execution meets human ingenuity, that’s magic at work. It’s what we show up for every day, helping organizations not just keep up with change, but thrive because of it.
Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for **Manager AI/ML Ops Engineering,**who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.
You Will:
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Focus on team members and coaching them to play to their strengths, grow and deliver peak performance
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Lead and mentor a team of AI/ML Ops engineers and operations specialists.
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Define and govern solutions for AI/ML operations, ensuring scalability, cost-efficiency, and reliability
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Develop and maintain standardized AI/MLOps workflows, including CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines
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Delegate and harness the aggregate strength of your team.
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Focuses on individual and team needs to foster a positive culture consistent with Smartsheet values.
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Actively helps individuals and the overall team to set priorities and focus on delivery of commitments
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Review team's designs and provide feedback on deployment safety, resilience, scale, performance, and security
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Lead and facilitate cross-team interactions, communication, and dependencies
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Ensure all changes are fully tested before being deployed
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Ensure deployment plans are well-considered and include appropriate scalability and load tests
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Work with stakeholders to align AI projects with business strategies.
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Ensure all AI/ML Ops solutions adhere to regulatory compliance, security, and ethical guidelines
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Drive Engineering and Operational excellence initiatives
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Perform other duties as assigned
You Have:
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Enterprise SaaS software solutions with high availability and scalability
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Experience building teams through recruiting and retention
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Experience in Leading and Mentoring a team of ML engineers and operations specialists.
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Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
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AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
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Knowledge of AI/ML frameworks like Lang Chain, Lang Graph for AI/ML Ops pipeline integration
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Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
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Programming languages like Python and SQL
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Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
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Solution Cost Optimisations and design to cost
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Legally eligible to work in India on an ongoing basis
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
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关于Smartsheet

Smartsheet
PublicSmartsheet provides cloud-based work management and collaboration software that allows teams to organize, track, and automate work processes. The platform combines spreadsheet functionality with project management, workflow automation, and business intelligence capabilities.
1,001-5,000
员工数
Bellevue
总部位置
$4.5B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
3.2
薪酬
2.5
企业文化
4.1
职业发展
4.0
管理层
3.0
72%
推荐率
优点
Flexible hours/schedule
Supportive management and team
Growth and learning opportunities
缺点
Heavy workload and high expectations
Compensation could be better
Limited remote work options
薪资范围
19个数据点
Mid/L4
Senior/L5
Mid/L4 · Data Scientist II
2份报告
$154,000
年薪总额
基本工资
$118,800
股票
-
奖金
-
$154,000
$154,000
面试评价
2条评价
难度
3.0
/ 5
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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