Currently tracking 24 active AI roles, with 45 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $161k–$331k (avg $225k).
Consumer · Grocery delivery
| Title | Stage | AI score |
|---|---|---|
| Senior Product Manager, Fraud & Trust Senior Product Manager for Fraud & Trust at Instacart, focusing on strategy and execution for fraud detection, identity verification, and appeasements. The role involves evolving a real-time ML-powered decision platform and shaping an AI-native fraud defense strategy to balance cost efficiency with customer experience. Key responsibilities include owning the product vision, driving AI/ML innovations, and collaborating with Data Science and ML Engineering. | Agent | 8 |
| Senior Product Manager, Fraud & Trust Senior Product Manager for Fraud & Trust at Instacart, focusing on strategy and execution for fraud detection, identity verification, and appeasements. The role involves evolving a real-time ML-powered decision platform and shaping an AI-native fraud defense strategy to balance cost efficiency with customer experience. Key responsibilities include owning the product vision, driving AI/ML innovations, and collaborating with Data Science and ML Engineering. |
| Agent |
| 8 |
| Senior Data Scientist - Shopping Experience (Search) Senior Data Scientist focused on Search experience at Instacart. This role involves owning core search metrics, designing and analyzing experiments for ranking, retrieval, and UX, and partnering with ML teams to improve relevance, quality, and latency. The position requires strong analytical skills, A/B testing experience, and the ability to translate complex data into actionable recommendations. Experience in search relevance, NLP, and bridging offline/online metrics is preferred. | AgentServe | 7 |
| Senior Data Scientist - Ads Auctions Senior Data Scientist on the Ads Auctions team responsible for innovating and enhancing auction mechanisms, including pricing strategies, bid optimization, and selection processes. The role involves designing analytical frameworks, running experiments, developing ML models for forecasting and optimization, and building simulations to improve CPC infrastructure and bidding algorithms, directly impacting advertiser performance and revenue. Requires expertise in causal inference, mechanism design, and econometrics. | Agent | 7 |