Technical Program Manager working at Sift intersection of technical implementation and customer success. Delivering maximum value to sophisticated engineering organizations with a robust platform.
About the role
- Lead end-to-end execution of AI initiatives including agentic AI platforms, GenAI-powered tools, and multi-agent orchestration systems.
- Translate strategic goals into clear execution roadmaps with milestones, KPIs, and stakeholder alignment across Sam’s Club Tech and Walmart Global Tech.
- Mentor Staff TPMs, ensuring coordination, tooling consistency, and delivery rigor across AI and platform programs.
- Manage complex interdependencies across product, data, AI/ML, and other engineering teams.
- Drive integration of autonomous agents and GenAI across club operations, associate experiences, and member-facing tools.
- Ensure platform readiness, agent collaboration, AI observability, and evaluations.
- Serve as a trusted partner across AI/ML, data engineering, product, UX, and business stakeholders.
- Champion cross-departmental transparency and alignment by driving regular program updates, risk management plans, and executive communications.
Requirements
- Option 1: Bachelor’s degree in computer science, information technology, engineering, or related area and 6 years’ experience in engineering, engineering program management, technical program management, product management, or related area.
- Option 2: 8 years’ experience in engineering, engineering program management, technical program management, product management, or related area.
- 10+ years of technical program management experience, preferably in AI/ML, data platforms, or large-scale digital transformation efforts.
- Strong technical fluency in cloud, data, and AI/ML architectures (e.g., GCP, Azure, Databricks, Snowflake, LangChain, etc.).
- Deep understanding of AI observability, model governance, multi-agent systems, and orchestration patterns.
- Experience leading cross-functional engineering teams and coordinating across TPM, product, data science, and infrastructure orgs.
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenAI APIs).
- Working knowledge of AI safety, bias detection, and model validation.
- Experience with Agile methodologies, program tracking (JIRA, Confluence), and capacity planning.
- Strong communication and systems thinking skills.
Benefits
- Incentive awards for performance
- 401(k) match
- Stock purchase plan
- Paid maternity and parental leave
- PTO
- Multiple health plans
- Short-term and long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U education benefit program
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