Lead Machine Learning Engineer, Video
The Walt Disney Company
AirflowAWSCloudDockerGoogle Cloud PlatformHadoopHDFSJavaScriptKafkaKubernetesPythonSpark
Senior Technical Program Manager, AI
SailPoint
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AirflowDockerHadoopSpark
About the role
- Own and drive critical AI/ML program portfolios from ideation through execution and delivery
- Partner closely with AI/ML engineers, product managers, data scientists, and cross-functional stakeholders to deliver complex, multi-team initiatives
- Align teams to shared goals, define success metrics, and foster a culture of accountability and continuous improvement
- Build strong, trusted relationships across Product, Engineering, Research, and Executive Leadership
- Proactively communicate program status, risks, dependencies, and opportunities to senior leadership and cross-functional teams
- Translate technical detail into clear and concise messaging for varied audiences
- Use sound technical judgment and AI/ML domain knowledge to assess risks, unblock teams, and guide program direction
- Navigate the end-to-end machine learning lifecycle (data collection, modeling, evaluation, deployment, monitoring)
- Foster cross-team collaboration and ensure scalable, high-quality solutions
- Manage programs from concept through production and ensure successful execution and delivery
Requirements
- 10+ years of program management experience, with at least 5 years in SaaS software and at least 2 years in ML/AI domains
- Proven track record delivering complex, cross-functional technical programs in a fast-paced environment
- Technical experience and knowledge of developing SaaS products - grounded in modern web technologies and agile processes
- Strong technical acumen, able to engage in discussions about ML pipelines, data infrastructure, model deployment, or MLOps
- Solid understanding of the end-to-end machine learning lifecycle (data ingestion, feature engineering, model training, evaluation, deployment, monitoring)
- Ability to build frameworks to track and execute program direction
- Highly evolved EQ and ability to adapt to the needs of the program and current maturity of the teams
- Passion for building partnerships and experience leveraging those to achieve success
- Relentless passion and persistence and a focus on meeting commitments
- Self-driven and highly motivated work ethic
- Passion for driving impact and delivering customer value through AI
- Preferred: Background in computer science, engineering, AI/ML, or a related technical field
- Preferred: Familiarity with AI/ML tooling (e.g., SageMaker, Docker, Airflow) and big data technologies (e.g., Spark, Hadoop)
- Preferred: Experience in identity governance, security, or enterprise software a plus
- Preferred: Hands-on experience in AI/ML engineering, data science, or MLOps (bonus points!)
- Preferred: Experience with Identity Management, Security or Governance
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