New - grad software engineer building Quora’s distributed ML platform, model serving, and developer tooling. Supporting Quora’s global knowledge - sharing product with scalable GPU infrastructure.
About the role
- Director leading agentic AI and machine learning products for Instacart’s grocery technology platform. Building retailer solutions and guiding teams from strategy through production deployment.
Responsibilities
- Lead engineering and machine learning strategy for agentic AI solutions for Instacart’s retail partners
- Build, mentor, and inspire high-performing engineering and science teams
- Partner with retailers and internal stakeholders to translate complex business problems into AI products
- Guide development of reliable, scalable, usable systems combining machine learning, data, software engineering, and agentic capabilities
- Establish direction in a zero-to-one product space while balancing technical strategy with rapid execution
- Represent Enterprise AI across the organization and communicate tradeoffs, progress, risks, and opportunities to senior stakeholders
- Lead products through the full lifecycle from identifying customer needs and exploring technologies to deploying and scaling production-ready AI systems
Requirements
- Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments
- Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery
- Experience partnering with product, business, customer-facing, and technical stakeholders to define requirements and deliver solutions to complex problems
- Strong understanding of machine learning development practices, software engineering principles, data systems, and operational considerations required to scale AI applications
- Demonstrated ability to set technical direction, prioritize work, manage ambiguity, and deliver results in a fast-changing environment
- Preferred: Deep technical expertise in agentic systems, large language models, machine learning platforms, or related applied artificial intelligence
- Preferred: Experience delivering applied machine learning products at significant scale
- Preferred: Experience leading cross-functional initiatives across engineering, machine learning, data science, product, consulting, and customer-facing teams
- Preferred: Experience working directly with retailers, commerce platforms, or other enterprise customers
- Preferred: Track record creating clarity and momentum in zero-to-one product environments
Benefits
- New hire equity grant
- Annual refresh grants
- Flexible choice of work location (home, office, or coffee shop)
- Regular in-person events
- Market-competitive compensation and benefits
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