SAP iXp Intern - AI Technical Program Manager, AI & Machine Learning

SAP
Palo Alto
Workplace: HybridFull timeFunction: Program & Project Management (PMO)Skills: ["Initiative","Communication","Organization","Problem-solving","Leadership"]

Coordinate AI/ML projects across data, ML engineers, software engineers, product managers, and stakeholders. Drive work through data collection/annotation, training, evaluation, and deployment by tracking AI-specific milestones and latency/performance goals. Identify risks like data pipeline delays or compute constraints, propose lightweight workflow improvements, and maintain clear documentation and project wikis. Build leadership-facing reports while learning AI product development end to end.

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FursaFursa
SAP
SAP
5 hours ago

SAP iXp Intern - AI Technical Program Manager, AI & Machine Learning

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Coordinate AI/ML projects across data, ML engineers, software engineers, product managers, and stakeholders. Drive work through data collection/annotation, training, evaluation, and deployment by tracking AI-specific milestones and latency/performance goals. Identify risks like data pipeline delays or compute constraints, propose lightweight workflow improvements, and maintain clear documentation and project wikis. Build leadership-facing reports while learning AI product development end to end.
Location: Palo Alto
Workplace: Hybrid
Employment Type: Full time
Job Function: Program & Project Management (PMO)
Seniority: Intern level

Key Responsibilities

  • •Coordinate ML development project phases, including data collection/annotation, model training, evaluation, and deployment.
  • •Align cross-functional stakeholders (ML engineers, software engineers, product managers, and data teams) on project goals.
  • •Track AI project milestones and metrics such as dataset readiness, evaluation metrics, and inference latency goals.
  • •Identify and escalate risks/bottlenecks (e.g., data pipeline delays or compute constraints) to senior TPMs or engineering leads.
  • •Maintain up-to-date project wikis and documentation (e.g., model cards and data dictionaries) and build reports for leadership.
Travel: Low travel

Key Requirements

  • •Pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
  • •Solid foundational understanding of AI and machine learning concepts, including supervised vs. unsupervised learning and LLMs/generative AI.
  • •Solid understanding of data analytics and AI concepts, including database structures and ETL/ELT processes and BI reporting.
  • •Understanding of software development lifecycles (SDLC) and agile methodologies.
  • •Experience building applications using agentic engineering tools (e.g., Claude Code) and/or prior internship/research/projects in ML/data/AI infrastructure.
Education:
Skills:InitiativeCommunicationOrganizationProblem-solvingLeadership
Tech Stack:Claude CodeLangchainGCPAzureAWSExcelPowerPoint

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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