Business Systems - Systems Analyst(PM)Job 388-1

SproutsAI; Santa Clara (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

SproutsAI is looking for a Technical Program Manager (Contract) based in Santa Clara, California. The role involves managing the development lifecycle of AI applications, collaborating with engineering teams, and utilizing tools like Jira and Confluence. Candidates should have over 6 years of Program Management experience, a Bachelor's in Electrical Engineering or Computer Science, and strong communication skills. This position allows for a dynamic environment focused on AI and emerging technologies.

Qualifications

• 6+ years of end-to-end Program Management experience in a similar or related role.
• Experience with Atlassian suite to guide an engineering team effectively.
• Outstanding skills in prioritizing and building alignment.

Responsibilities

• Drive strategic roadmap execution with engineering and product management.
• Collaborate on sprint planning and use Jira for reporting.
• Facilitate communication between stakeholders to align project goals.

Skills

Program Management

Agile methodologies

Communication skills

Detail-oriented

Organization

Education

Bachelors in Electrical Engineering or Computer Science

Tools

Jira

Confluence

Job description

Technical Program Manager (Contract)

NVIDIA Metropolis offers GPU-accelerated libs, SDKs, Microservices, Tools and Blueprints that help developers build, deploy and scale AI-enabled applications - from the edge to the cloud. This suite of software offerings provides a variety of starting points to accelerate and optimize any aspect of AI application development and deployment. We are looking for a passionate Technical Program Manager (Contract) to be part of this journey. This role will be leading all steps of the development lifecycle from concept to model training, engineering for optimized inference and deployment.

What You Will Be Doing

• Closely work with engineering and product management to deliver and drive strategic roadmap execution
• Collaborate with engineering on sprint planning, stand ups, sprint review and retrospective
• Use Jira dashboard and bug database queries to help with various reporting, and Confluence to provide comprehensive program updates to the core and leadership teams
• Work closely with the engineering on various KPIs to improve overall execution process and deliverable
• Integral member of Vision AI development and productization workflow
• Facilitate clear communication channels between all stakeholders and members of the leadership to align project goals and resolve dependencies proactively

What We Need To See

• Bachelors in Electrical Engineering or Computer Science or equivalent experience
• 6+ years of end-to-end Program Management experience in a similar or related role
• Excellent verbal, written, interpersonal and presentation skills
• Proficient in Agile project management methodologies
• Experience with Atlassian suite (e.g., Jira, Confluence) to the point that you can comfortably guide an engineering team on how to use these tools and implement in an agile, scrum manner
• Proven track record of being well organized, detail oriented, have excellent listening skills, in the fast paced, high-uncertainty environment, adapting quickly to rapid breakthroughs and amidst technical volatility
• Ability to think long-term and build consensus to make programs successful
• Outstanding skills in prioritizing and building alignment

Ways to Stand Out From the Crowd

• Prior Program Management experience with Vision AI or AI application development including data acquisition and labeling to model training, optimization, and edge deployment
• Strong understanding of Embedded Systems (familiarity with Nvidia GPUs is a plus)
• Deep understanding of Software Product Life Cycle to develop production grade AI applications
• AI adoption in Program Management to optimize workflows and increase team velocity
• Experience managing the unique challenges of AI programs, such as, model accuracy KPIs, and "human-in-the-loop" validation processes