AI Hire Signal
JobsCompaniesTrendsInsightsWeekly
JobsStrategy timeline
AI Hire Signal

Tracking AI hiring across 200+ US tech companies. Stage, salary, and stack signals on every role — refreshed weekly.

Contact

Browse

JobsCompaniesTrendsInsightsWeekly

Resources

AboutSitemapRobots

Legal

PrivacyTerms
© 2026 AI Hire Signal·Not affiliated with companies shown

Whatnot has 33 active AI-related job listings, with a significant focus on agents, which accounts for 64% of their open roles. The majority of these positions are within the Engineering function, and all hiring is currently concentrated in the United States. Their technical needs are reflected in frequent tags such as model_serving, inference_infra, and agent_orchestration. In the last 30 days, Whatnot posted 2 new AI roles, representing a 78% decrease compared to the previous 30-day period.

Auto-generated from active job postings · last refreshed 2026-05-24

Currently tracking 20 active AI roles, down 31% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $245k–$345k (avg $296k).

Hiring
20 / 22
Momentum (4w)
↓-13 -31%
29 opens last 4w · 42 prior 4w
Salary range · avg $296k
$245k–$345k
USD · disclosed roles only
Tracked since
Oct '25
last role 6w ago
Hiring velocityscroll left for older weeks
1 new role
Jun 3
2 new roles
Oct 28
2 new roles
Sep 8
1 new role
15
2 new roles
22
1 new role
Oct 13
2 new roles
27
3 new roles
Nov 3
1 new role
10
1 new role
17
3 new roles
24
2 new roles
Dec 1
1 new role
8
2 new roles
15
1 new role
Jan 5
29 new roles
12
3 new roles
19
7 new roles
26
11 new roles
Feb 2
5 new roles
9
3 new roles
16
6 new roles
23
9 new roles
Mar 2
3 new roles
9
7 new roles
16
12 new roles
23
18 new roles
30
17 new roles
Apr 6
3 new roles
13
7 new roles
20
22 new roles
27
13 new roles
May 4
13 new roles
11
14 new roles
18
2 new roles
25
6 new roles
Jun 1
14 new roles
8
4 new roles
15
5 new roles
22

Frequently asked questions

  • What AI roles is Whatnot hiring for?

    Whatnot currently has 9 active AI-related roles in our index. The most common open titles are: AI Tooling Engineer, Data Scientist, Risk & Fraud, Engineering Manager, Feed, Machine Learning Engineer, Growth, Software Engineer, AI Dev Tools. Most positions are in Engineering.

  • What stage of AI development does Whatnot focus on?

    Whatnot's active AI hiring is concentrated in: agents (89%), application (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Whatnot hiring AI talent?

    Whatnot is hiring AI talent in: United States (9 roles).

  • What technologies does Whatnot's AI team work with?

    Job postings at Whatnot most frequently reference: agent orchestration, recommender systems, search ranking, model serving, rag.

  • How many AI roles has Whatnot posted recently?

    In the past 30 days, Whatnot has posted 2 new AI-related roles.

Jobs (114)

5 AI · 127 total active
FilteredFunctionEngineering×
Show
Active onlyAI only (≥ 7)
Stage
AllData · 1Serve · 7Agent · 24Ship · 5
Function
AllProduct · 138Engineering · 114
Country
AllUnited States · 200United Kingdom · 15Ireland · 12Australia · 9Japan · 6Germany · 5China · 4Poland · 2
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
AI Tooling Engineer
Senior AI Engineer to build internal tools, prototypes, and business workflows that put AI into the hands of every team at Whatnot. This role involves owning ambiguous, cross-org bets end-to-end, shipping working software fast, hardening what works, and scaling how Whatnot gets value out of AI. The engineer will define reusable patterns and shared infrastructure, integrate AI tools with internal systems, and stay ahead of the AI landscape. This is a builder role focused on applying off-the-shelf AI, not model training or research.
AgentEngineeringSan Francisco, CA3w ago8
Software Engineer, Machine Learning Infrastructure
Software Engineer, Machine Learning Infrastructure at Whatnot, focusing on scaling AI and ML infrastructure for large language models and other ML applications. Responsibilities include owning AI/ML infrastructure, prototyping and productionizing ML architectures, designing and scaling inference infrastructure for low-latency and high-throughput serving, and building distributed training and inference pipelines.
1–50 of 114← Prev123Next →
ServePost-train
Engineering
San Francisco, CA
Apr 23
8
Software Engineer, Machine Learning Infrastructure
Software Engineer, Machine Learning Infrastructure at Whatnot, focusing on building and scaling the core infrastructure for AI and ML models, including low-latency large model serving and distributed training/inference pipelines.
ServeEngineeringSan Francisco, CAApr 228
Machine Learning Platform Engineer
Machine Learning Platform Engineer at Whatnot, focusing on building and scaling the core infrastructure for AI and ML models, including LLM applications, low-latency serving, distributed training, and GPU inference.
ServePost-trainEngineeringSan Francisco, CAMar 38
LLM Platform Engineer
Seeking an LLM Platform Engineer to design and scale the core infrastructure for large language model applications at Whatnot. This role involves building systems for retrieval, grounding LLM responses, developing evaluation frameworks, and implementing feedback pipelines to bring AI into production for various business surfaces like growth, recommendations, trust and safety, and fraud.
AgentEval GateEngineeringSan Francisco, CAMar 38
Technical Lead Manager, ML Infrastructure
Lead the development and scaling of core ML infrastructure, including low-latency model serving, streaming feature ingestion, distributed training, and high-throughput GPU inference, to power AI/ML applications at consumer scale. This role involves hands-on coding, architectural guidance, and empowering ML scientists.
ServeDataEngineeringSan Francisco, CAFeb 278
LLM Platform Engineer
Seeking an LLM Platform Engineer to build and scale the core infrastructure for large language model applications at Whatnot. This role involves designing and deploying RAG systems, developing LLM evaluation frameworks, and creating human-in-the-loop feedback pipelines to integrate AI into critical business functions like growth, recommendations, trust and safety, and fraud.
AgentEval GateEngineeringSan Francisco, CAFeb 58
Machine Learning Infrastructure Engineer
Seeking an ML Infrastructure Engineer to design and scale core infrastructure for ML and LLM applications, focusing on low-latency serving, distributed training, and high-throughput GPU inference to productionize cutting-edge models.
ServePost-trainEngineeringSan Francisco, CAFeb 58
Machine Learning Engineer, Fraud
Machine Learning Engineer focused on fraud detection and prevention for a livestream shopping platform. The role involves designing, training, and deploying ML models (traditional and LLM-powered), building intelligent user graphs, developing data pipelines and real-time inference systems, conducting data analysis, and implementing model monitoring. Collaboration with cross-functional teams and staying ahead of emerging fraud tactics are key.
ShipDataEngineeringSan Francisco, CAFeb 38
Senior Engineering Manager, ML Platform
Senior Engineering Manager, ML Platform at Whatnot, a livestream shopping platform. This role focuses on leading the development and scaling of core infrastructure for machine learning and self-hosted LLM applications. Responsibilities include building low-latency model serving, streaming feature ingestion, distributed training, and high-throughput GPU inference systems. The role requires strong technical depth, hands-on coding, and managing production ML systems at consumer scale.
ServeDataEngineeringSan Francisco, CAJan 158
Machine Learning Engineer, Growth
Machine Learning Engineer focused on driving top-of-funnel growth and first-time buyer success for a livestream shopping platform. This role will build and own ML models for personalization in onboarding and user targeting, impacting buyer growth and first-time user conversion.
ShipEngineeringSan Francisco, CA8w ago7
Machine Learning Engineer, Growth
Machine Learning Engineer focused on driving top-of-funnel growth and first-time buyer success for a livestream shopping platform. This role will build and own ML models for personalization in onboarding and user targeting, impacting buyer growth and first-time user conversion.
ShipEngineeringSan Francisco, CA8w ago7
Software Engineer, AI Dev Tools
Software Engineer focused on building AI development tools and infrastructure to enhance engineering productivity and enable autonomous agent capabilities within the company's codebase and processes. This role involves designing sandboxed environments, orchestration systems, and AI-aware infrastructure, acting as a primary interface between the Developer Tools team and the AI Tooling Working Group.
AgentEngineeringLos Angeles, CAMar 47
Software Engineer, AI Dev Tools
Software Engineer to build and own AI tooling for the engineering organization, focusing on AI coding agents and assistants. This role involves building infrastructure, workflows, and orchestration systems for AI agents to operate within the company's codebase and processes, enabling both engineers and non-engineers to leverage AI tools effectively. The role requires strong software engineering skills and familiarity with current AI development tools.
AgentEngineeringLos Angeles, CAMar 47
Feature Platform Engineer
This role focuses on building and scaling the feature ingestion and storage infrastructure that powers both core business logic and ML applications at Whatnot. The engineer will work with ML scientists to leverage near-real-time signals for critical business surfaces like growth, recommendations, trust and safety, and fraud. Key responsibilities include designing and evolving real-time feature pipelines for online and offline stores, optimizing system performance, and empowering scientists with abstractions and tools for near-real-time features. The role requires experience with production ML systems, software engineering for consumer-scale loads, Python, and various databases and cloud platforms.
DataServeEngineeringSan Francisco, CAFeb 57
Machine Learning, Content and Navigation
Machine Learning Engineer role focused on building and deploying ML models for personalized navigation, search, and recommendations on a livestream shopping platform. The role involves end-to-end ML project lifecycle, from data to production, and requires experience in applied ML fields like search and recommendations.
AgentServeEngineeringSan Francisco, CAFeb 37
Machine Learning Engineer, Fraud
Machine Learning Engineer focused on designing, training, and deploying ML models and systems for fraud detection and prevention in a high-volume marketplace. This includes building user graphs, real-time inference systems, and monitoring, with a strong emphasis on end-to-end ownership and integrating ML into fraud orchestration.
AgentDataEngineeringSan Francisco, CAFeb 37
Machine Learning Engineer, Content and Navigation
Machine Learning Engineer on the Discovery Content and Navigation team, focusing on building and deploying ML models for personalized navigation, search, and recommendations in a high-growth consumer marketplace. The role involves end-to-end project ownership, from data collection to production deployment and experimentation, with a strong emphasis on applied ML methods for consumer-scale data.
AgentServeEngineeringSan Francisco, CAFeb 37
Software Engineer, Search & Discovery Platform
Software Engineer role focused on building and scaling the Discovery Platform, including recommendation systems, feed, browse, and search functionalities. This involves integrating retrieval, machine learning ranking, real-time processing, and content understanding to create a personalized discovery experience for a live shopping marketplace.
AgentServeEngineeringSan Francisco, CAJan 157
Software Engineer, Fraud
Software Engineer role focused on building and deploying ML-driven systems for fraud detection, prevention, and intervention in a real-time, high-volume marketplace. Responsibilities include developing intelligent user graphs, training and deploying traditional ML and LLM models, creating scalable data pipelines, and implementing human-in-the-loop systems to adapt to evolving fraud tactics.
AgentDataEngineeringSan Francisco, CAJan 157
Software Engineer, Trust & Risk
Software Engineer for Whatnot's Trust & Risk team, focusing on building and iterating on production algorithms and infrastructures to mitigate systemic risks, safeguard users, and prevent abuse. The role involves designing event-driven pipelines for real-time threat response, balancing risk with user experience, and collaborating across teams to continuously evolve defenses against emerging abuse patterns. Experience with machine learning, behavioral analysis, and data warehouses is preferred.
AgentEngineeringSan Francisco, CAJan 157
Software Engineer, Trust & Risk
Software Engineer role focused on building systems for trust, risk, fraud, and integrity within a consumer marketplace. The role involves designing and developing production algorithms and infrastructures to mitigate systemic risks, protect users, and prevent abuse. It requires experience in event-driven pipelines, detection frameworks, and a data-driven mindset, with a preference for experience in Trust and Risk or Fraud domains. Explicit data science or machine learning experience is a plus.
AgentEngineeringSan Francisco, CADec '257
Software Engineer, Fraud
Software Engineer role focused on building and deploying ML-driven systems for fraud detection, prevention, and intervention in a livestream shopping marketplace. Responsibilities include developing intelligent user graphs, training and deploying traditional ML and LLM models, creating scalable data pipelines, real-time inference systems, and human-in-the-loop systems for continuous refinement. The role emphasizes analyzing behavioral and adversarial data to identify emerging fraud trends and evolving systems to combat them.
AgentDataEngineeringSan Francisco, CAOct '257
Technical Program Manager
Technical Program Manager to work across Engineering and Product teams to drive high-impact initiatives and help scale operations. This role will focus on programs improving execution, alignment, and velocity across the organization, including product, infrastructure, and AI initiatives. The TPM will define requirements, technical roadmaps, and improve engineering processes. Experience with AI tools like Claude Code and Cursor is required for efficiency gains.
—EngineeringSan Francisco, CA2w ago5
Technical Program Manager
Technical Program Manager to work across Engineering and Product teams to drive high-impact initiatives and help scale operations. This role will focus on programs improving execution, alignment, and velocity across the organization, including product, infrastructure, and AI initiatives. The TPM will define requirements, technical roadmaps, and improve engineering processes. Experience with AI tools like Claude Code and Cursor is required for efficiency gains.
—EngineeringSan Francisco, CA2w ago5
Engineering Manager, Feed
Engineering Manager for the Feed team, responsible for building and scaling Whatnot's feeds and recommendation systems, with a focus on using feed visibility to help small sellers and new categories grow. The role involves leading backend engineers, owning system design, and partnering with product and ML teams to deliver discovery experiences.
AgentEngineeringNew York, NY2w ago5
Fullstack Engineer, Trust Experience
Fullstack Engineer for Whatnot's Trust and Risk team, focusing on building systems for policy enforcement, dispute resolution, and intelligent detection/prevention of abuse using ML and behavioral analysis. The role involves developing features to ensure a safe and trustworthy marketplace.
AgentEngineeringSeattle, WAApr 75
Fullstack Engineer, Seller Growth
Fullstack Engineer role focused on seller growth, involving building systems for fraud detection, identity verification, seller enrichment pipelines, and A/B testing. The role also involves creating scalable data pipelines and growth systems. While not directly building core AI models, the role leverages and builds systems that incorporate predictive models and signals for seller routing and risk assessment, indicating an AI-adjacent function within a consumer marketplace.
AgentEngineeringSan Francisco, CAApr 65
Software Engineer, Data
Software Engineer, Data at Whatnot, responsible for the retrieval platform powering next-gen systems. Focuses on defining technical direction, leading development, and ensuring scalability and performance. Integrates data systems, optimizing machine learning, real-time analytics, stream processing, and content understanding.
—EngineeringSan Francisco, CAApr 35
Software Engineer, Horizontal Ops
Software Engineer, Horizontal Ops at Whatnot, a livestream shopping platform. The role involves building internal operations tooling, including a workflow engine for intelligent, automated resolutions and AI-powered automations to help ops teams work faster and more reliably. Focus on backend systems, scaling infrastructure, and translating business problems into technical solutions.
AgentEngineeringSan Francisco, CAApr 25
Software Engineer, CX
Software Engineer, CX at Whatnot, a livestream shopping platform. This role focuses on building a world-class Customer Support platform, including user-facing experiences, scaling internal infrastructure, and designing intelligent AI-powered automations to handle a high volume of customer issues. The engineer will lead solutions end-to-end, translating business problems into technical solutions and driving delivery.
AgentEngineeringSan Francisco, CAApr 25
Software Engineer, CX
Software Engineer, CX at Whatnot, a livestream shopping platform. This role focuses on building a world-class Customer Support platform, including user-facing experiences, scaling internal infrastructure, and designing AI-powered automations to handle customer issues. The engineer will lead solutions end-to-end, translating business problems into technical solutions and driving delivery.
AgentEngineeringSan Francisco, CAApr 25
Software Engineer, Horizontal Ops
Software Engineer, Horizontal Ops at Whatnot, focusing on building internal operations tooling and AI-powered automations for customer support and trust & safety workflows. The role involves developing a workflow engine for intelligent, automated resolutions at scale.
AgentEngineeringSan Francisco, CAApr 25
Data Scientist, Risk & Fraud
Data Scientist focused on risk and fraud detection for a livestream shopping platform. The role involves translating data into actionable recommendations, defining KPIs, analyzing existing methods, partnering with ML engineers to develop anti-fraud practices, designing and evaluating experiments, developing causal inference frameworks, building data products, and collaborating cross-functionally to shape fraud strategy. Requires advanced SQL, Python/R, A/B testing, and causal inference experience.
AgentEngineeringSan Francisco, CAApr 15
Software Engineer, Logistics Platform
Software Engineer, Logistics Platform at Whatnot. This role focuses on building and improving backend systems, APIs, and internal platform interfaces for logistics workflows. Responsibilities include data quality, shipment state normalization, observability, and operational debugging. The role emphasizes product-minded platform work with external impact on buyer/seller experience and operational efficiency. The engineer will partner with various teams to solve real-world logistics problems and improve data correctness and timeliness. A thoughtful approach to AI usage in engineering is encouraged.
—EngineeringLos Angeles, CAMar 305
Feature Platform Engineer
This role focuses on building and scaling the feature ingestion and storage infrastructure that powers both core business logic and ML applications. The engineer will work on real-time feature pipelines, optimize system performance, and empower ML scientists to iterate faster by building abstractions and tools. The goal is to enable faster ML model responses to marketplace dynamics and scale AI across the ecosystem.
ServeEngineeringSan Francisco, CAMar 35
Data Scientist, Risk & Fraud
Data Scientist focused on risk and fraud detection for a livestream shopping platform. The role involves translating data into actionable recommendations, defining KPIs, analyzing existing methods, partnering with ML engineers to develop anti-fraud practices, designing and evaluating experiments, developing causal inference frameworks, building data products, and collaborating cross-functionally to shape fraud strategy. Requires advanced SQL, Python/R, A/B testing, and causal inference experience.
AgentEngineeringSan Francisco, CAJan 295
Software Engineer, Customer Experience
Lead Backend Engineer for the Customer Experience Platform team, responsible for building a world-class Customer Support platform. This includes developing user-facing experiences, scaling infrastructure, and designing intelligent AI-powered automations to handle high volumes of customer issues. The role involves end-to-end solution ownership, translating business problems into technical solutions, and driving delivery and experimentation.
AgentEngineeringSan Francisco, CAJan 155
Software Engineer, Seller Growth
Software Engineer on the Seller Growth Platform pod responsible for designing and building systems that sit at the heart of the new seller funnel. This includes developing and scaling systems for identity verification, fraud detection, and automated trust/risk reviews, as well as powering accurate seller identification through enrichment data, signals, and predictive LTV models. The role also involves creating scalable infrastructure like reusable trust and reputation systems and modular fraud prevention frameworks, and driving long-term seller success by enabling better bucketing of sellers by value and risk profile.
AgentEngineeringSan Francisco, CAJan 155
Software Engineer, Discovery (Search)
Software Engineer for the Search team at Whatnot, responsible for building the best search experience for users to find relevant content (streams, products, community). Focuses on taxonomy, search/filters, retrieval/ranking algorithms, and content understanding, using data-informed decisions and shipping quickly. Experience in applied statistical and machine learning fields like Search, Recommendations, Fraud, and Experimentation is required.
ShipEngineeringNew York, NYJan 155
Software Engineer, Discovery (Feed)
Software Engineer for Whatnot's Discovery Feed & Personalization team, focusing on building and scaling backend systems for recommendation and exploration features. The role involves shipping product features, maintaining low-latency feed experiences, enabling exploration systems for sellers, and partnering with ML teams. Requires experience in discovery-related fields and building scalable backend systems.
ShipAgentEngineeringNew York, NYJan 155
Engineering Manager, Orders Platform
Engineering Manager for Whatnot's Orders Platform, responsible for leading a team that builds and operates systems supporting hundreds of millions of orders globally. The role focuses on reliability, scale, and correctness of the core order lifecycle, partnering with various internal teams and ensuring customer experiences are seamless.
—EngineeringNew York, NY2w ago0
Senior Backend Engineer, International Eng
Senior Backend Engineer for Whatnot's International Engineering team, focusing on building scalable systems for cross-border transactions, tax/regulatory compliance, and international post-purchase experiences. Requires strong backend, distributed systems, and Python/Go experience.
—EngineeringKraków, Poland3w ago0
Trust & Risk Agent, Japan
This role focuses on maintaining the safety and integrity of the Whatnot platform by identifying potential risks, enforcing policies, and protecting the buyer and seller experience. The agent will conduct investigations, communicate with customers, and analyze trends to improve mitigation strategies. This is a customer-facing role within Trust & Safety operations.
—EngineeringTokyo, Japan5w ago0
Engineering Manager, Backend Platforms
Whatnot is seeking an Engineering Manager for their Backend Platforms team. This role will own the strategy and execution of backend systems powering their livestream shopping platform, including Python and Elixir cores, realtime services, and the storage/database layer. The manager will lead senior ICs and potentially other managers, focusing on platform reliability, performance, and developer ergonomics. The role requires strong technical grounding in backend systems at scale and experience managing engineering teams.
—EngineeringLos Angeles, CA5w ago0
Engineering Manager, Backend Platforms
Whatnot is seeking an Engineering Manager for their Backend Platforms team. This role will own the strategy and execution of backend systems powering their livestream shopping platform, including Python and Elixir cores, realtime services, and the storage/database layer. The manager will lead senior ICs and potentially other managers, focusing on platform reliability, performance, and developer ergonomics. The role requires strong technical grounding in backend systems at scale and experience managing engineering teams.
—EngineeringLos Angeles, CA5w ago0
Trust & Risk Team Lead
This role is a Team Lead position within a Trust & Risk department, focusing on managing a pod of agents and specialists, scaling operational frameworks, and improving user trust. Responsibilities include daily triage, re-review workflows, setting evidence standards, partnering cross-functionally, and contributing requirements to tooling and lightweight automation. The role requires leadership experience, hands-on experience with appeals/escalations, analytical skills, and strong communication.
—EngineeringPhoenix, AZ5w ago0
Trust & Risk Team Lead
Lead a team of Trust & Risk agents and specialists, focusing on scaling operational frameworks, managing daily workflows, and improving user trust by reducing wrongful enforcement. This role involves managing direct reports, owning execution of review processes, building team and operational frameworks, and partnering with Data, Policy, Product, and Legal to measure and improve outcomes through insights and tooling requirements.
—EngineeringPhoenix, AZ5w ago0
Software Engineer, Video
Software Engineer, Video role at Whatnot, focusing on enhancing the platform's video quality and introducing tools to maximize engagement and sales for sellers. Responsibilities include building a video recording pipeline, developing seller tools for livestream interaction, and evaluating new video providers. Requires experience with scaled WebRTC systems and AWS/DevOps.
—EngineeringNew York, NY8w ago0
Software Engineer, Video
Software Engineer, Video role at Whatnot, focusing on building and enhancing the platform's video and livestream capabilities. This includes implementing measurement and observability, developing a video recording pipeline, and creating seller tools to improve user engagement and sales. The role also involves advancing video features, informing long-term video strategy, and evaluating new video providers.
—EngineeringNew York, NY8w ago0