AI Agents Jobs

This is a Senior Business Development Representative role focused on selling Voice AI API products to enterprise and mid-market customers. The position requires strong sales execution skills, data-driven pipeline management, and the ability to engage both technical and commercial stakeholders in a fast-scaling SaaS environment.

Senior Software Engineer role focused on building and maintaining the core real-time voice infrastructure powering PolyAI's conversational AI agents. The position requires full-stack ownership of voice runtime services spanning telephony, audio processing, speech recognition/synthesis, LLM orchestration, and production support across AWS and Azure at enterprise scale.

Senior technical role supporting Systems Integrators and ISV partners in deploying PolyAI's voice AI assistants into enterprise environments. Combines hands-on solution architecture with partner enablement, while driving adoption of AI automation tools across the GTM organization. Requires deep expertise in enterprise integration, voice AI systems, and the ability to translate complex technical requirements into successful partner-led customer deployments.

Senior Channel Solutions Consultant who enables Channel Partners and Technology Services Distributors to successfully position and deliver PolyAI's voice assistant solutions. The role involves leading technical discovery sessions, educating partners on conversational AI capabilities, and guiding customers through solution evaluation and implementation processes.

Build and maintain integrations between PolyAI's voice AI platform and third-party enterprise systems like Salesforce, Zendesk, and Epic using Python and low-code tools. Design secure RESTful APIs and webhooks to enable real-time data exchange across CRM, healthcare, hospitality, and workflow platforms. Work across customer and partner projects to enhance AI agent context and automate critical business operations.

Build AI-driven automation solutions for customer onboarding and credit decisioning at Brex's Operational AI team. Work on internal AI agent platforms and KYC/underwriting automations across the full engineering stack, collaborating with teams to deliver end-to-end features that accelerate customer activation.

Lead the design and implementation of Brex's simulation and validation platform for AI-powered financial products. Own continuous testing infrastructure using synthetic data and scenario generation to ensure AI agents behave correctly under realistic conditions before reaching customers. Drive product quality through creative testing, regression detection, and safe capability validation across the organization.

Senior role building Brex's external AI ecosystem, focusing on integrations that allow customers to interact with Brex through third-party assistants and platforms. You'll own the technical strategy for exposing Brex data safely, designing permissions/auditability across boundaries, and building exemplar AI applications for sophisticated customers. Success is measured by real customer usage and trust rather than integration volume.

Senior technical owner for Brex's external AI ecosystem, responsible for building stable, secure integrations that allow customers to interact with Brex through third-party AI assistants and platforms. The role focuses on designing how financial data and actions are safely exposed, managing permissions and auditability across ecosystem boundaries, and driving adoption through exemplar applications used by sophisticated customers.

Lead technical ownership of Brex Assistant, a conversational AI product that automates financial workflows and expense management. Responsible for shipping production-grade agentic systems, setting quality standards, and deeply integrating AI capabilities into Brex's core finance platform to drive measurable customer outcomes.

Engineering Program Manager role focused on coordinating cross-functional teams building AI agents and autonomous systems at Brex's finance platform. You'll own execution planning, remove blockers, and ensure complex multi-team AI initiatives ship on time with clear objectives and accountability.

Own cross-functional execution for AI initiatives at Brex, coordinating between engineering, product, infrastructure, security, and legal teams to ship complex AI-powered financial products. Transform strategy into structured plans with clear objectives, unblock dependencies, and drive accountability across multi-team initiatives without requiring senior engineers to context-switch into program management.

Lead a team building a consumer-facing conversational AI assistant (Brex Assistant) that automates financial workflows like spend approval and policy compliance. Responsibility spans both people leadership and product outcomes, with focus on shipping agentic systems to production and measuring real customer impact rather than research novelty.

Lead a team building a conversational AI assistant (Brex Assistant) that automates financial tasks like expense approval and policy compliance. This is a people leadership role focused on shipping agentic systems to production with measurable customer impact in financial operations. Success requires balancing team management with product outcomes in a fast-paced fintech environment.

Lead Brex's Growth Product team to drive customer acquisition and onboarding through AI-native features and tools that empower GTM/Marketing teams. Oversee strategy and execution across AI agents for GTM workflows, ML-based account prioritization systems, and prospect classification models. Work cross-functionally to build scalable products that help enterprise customers with complex spending needs.

Director-level product role leading Brex's Growth/AI product team to drive customer acquisition and onboarding through AI-native features and ML-powered tools. Requires deep expertise in AI product strategy, cross-functional leadership, and GTM integration to build AI agents, enrichment systems, and ML models that empower sales and marketing operations.

Director-level product leadership role focused on building AI-powered growth products and go-to-market systems at Brex. The role requires strategic oversight of customer acquisition and onboarding features, including AI agents for GTM workflows, ML-based prospect classification, and data enrichment systems. Key responsibilities include cross-functional collaboration, product strategy execution, and enabling marketing/GTM teams with AI-native tools and models.

Lead the technical vision for next-generation shopping experiences at Instacart by designing ML systems that leverage generative AI, LLMs, and agentic AI to transform search and discovery. This hands-on IC role at Director level requires building production systems that move beyond traditional ranking pipelines to create intelligent, personalized shopping experiences at scale.

Principal Product Manager role leading the development of Cart Assistant, an enterprise-grade AI shopping agent for grocery commerce. Requires deep expertise in agentic AI systems, consumer and retailer needs, and ability to translate cutting-edge generative AI capabilities into compelling 0-to-1 products that serve millions of users.

Lead the design and scaling of AI-driven automation solutions for Instacart's Commercial organization, focusing on intelligent workflows that drive revenue growth and operational efficiency. Partner with business stakeholders to identify high-impact automation opportunities and mentor team members on AI platform strategy and implementation.

Design and build AI agents for Instacart's ads platform that analyze campaign performance, diagnose issues, and recommend optimizations. Develop the semantic/context layer and data infrastructure (dbt, Snowflake) that powers these agents to improve ROAS and operational outcomes. Partner across product, data science, and engineering to deploy production-ready AI solutions with measurable business impact.

Reddit seeks a Staff Systems Engineer to manage AI integration, governance, and security across corporate engineering platforms. The role focuses on designing secure connections between existing systems and GenAI tools while establishing policy frameworks that balance risk mitigation with business enablement. Required expertise includes SaaS platform integration (Okta, Cloudflare, Google Workspace) and experience scaling AI-driven automation across enterprise environments.

Reddit seeks a Senior Tech Risk and AI Automation specialist to build an AI-first internal audit function, focusing on designing and scaling agentic AI systems for SOX compliance testing. This pioneering role combines deep expertise in AI automation, risk management, and internal controls to transform traditional audit processes through intelligent automation and real-time insights.

This role focuses on building an AI-first internal audit function at Reddit, leveraging agentic AI systems to transform SOX compliance testing and automate internal control assessments. The ideal candidate will architect scalable AI-driven testing solutions, integrate automation with internal systems, and serve as a technical champion for AI in risk management across the organization.

Lead development of Reddit's large-scale GenAI Platform, focusing on building an LLM Gateway with unified API endpoints, rate limiting, and intelligent failover. Design and operationalize enterprise-grade RAG applications and agentic AI workflows while establishing MLOps/LLMOps best practices for production GenAI systems at scale.

Build AI-powered fee explainability experiences for Stripe merchants using agentic systems and NLP to help users understand complex billing and pricing. Work across full-stack engineering—backend services, frontend dashboards, data pipelines, and AI agents—while ensuring reliability and accuracy at scale through robust evaluation frameworks.

Lead design for Stripe's Agentic Commerce initiative, shaping next-generation payment experiences powered by AI agents. Partner with product and engineering to build transformative products across merchant, agent, and consumer surfaces while establishing design excellence standards for AI-driven workflows.

Senior product leader role responsible for defining and scaling ML/AI applications across Stripe's product suite while advancing the company's AI infrastructure and tooling strategy. The position requires cross-functional leadership to incubate novel ML/LLM techniques, drive agentic capabilities adoption, and align investment priorities across business units. This is a principal-level product management role focused on enterprise-scale AI strategy and execution.

Stripe seeks an ML Engineer to design, build, and deploy state-of-the-art AI/ML models for supportability detection and compliance across their financial platform. The role focuses on scaling LLM-based systems using agentic approaches while balancing high-precision detection with system scalability for millions of merchants. You'll collaborate across teams to operationalize ML systems in production and drive innovation in financial AI applications.

Build end-to-end ML and agent architecture for an intelligent Stripe Assistant that executes high-trust actions, provides accurate analytics, and orchestrates multi-tool capabilities. Establish rigorous evaluation frameworks, governance models, and human-in-the-loop execution patterns while driving improvements in quality, latency, cost, and availability.

Build and deploy custom AI tools, agents, and automations embedded within marketing teams to transform workflows at scale. Coach marketers through progressive AI adoption while identifying patterns and systematizing successful tools across cohorts.

Embed with marketing teams to identify and build AI-powered workflow transformations using LLMs and agents, coaching marketers to achieve AI-first operations. Design, build, and systematically scale custom tools and automations while fostering self-sufficiency and documenting reusable patterns across the organization.

A customer-facing AI enablement role focused on embedding with marketing teams to build custom AI agents, automations, and tools that transform workflows. Success is measured by permanently changing how marketers work and scaling effective patterns across the organization while teaching teams to build their own AI solutions.

Stripe seeks an experienced Engineering Manager to lead a new team deploying LLM agents and AI tools to accelerate internal developer productivity. The role requires strong people leadership, product instincts, and the ability to move quickly in a rapidly evolving AI space while managing a senior cross-continental team. Prior AI devtools experience is beneficial but not required; demonstrated success building high-performing teams and shipping innovative products is essential.

Lead engineering for Stripe's Agentic Commerce team, building APIs and integrations that enable AI agents to power e-commerce experiences. Own full-stack solutions across backend services, dashboards, and payment systems while partnering closely with product, design, and cross-functional teams to ship high-impact features that simplify financial and commerce complexity for AI-driven platforms.

Lead and scale a mission-critical engineering team (10+ engineers) building infrastructure for AI agents to interact with Stripe's financial platform. Balance deep technical expertise in agentic AI systems with startup-speed execution while maintaining the reliability standards of financial infrastructure. Partner with product and leadership to define long-term vision for how autonomous systems consume and transact through Stripe's APIs.

This role focuses on business development for Stripe's Agentic Commerce initiative, requiring deep understanding of AI agents and their integration with financial services. The successful candidate will drive go-to-market strategy, engage early adopters across AI/marketplace sectors, and collaborate with product teams to develop tailored solutions for emerging agentic use cases.

Backend engineer role focused on building AI agent-augmented systems to solve complex enterprise problems at Stripe. You'll work alongside AI agents handling structured work while you focus on engineering judgment, user relationships, and platform solutions that scale across the organization.

Technical Support Engineer role for an AI-powered cybersecurity platform requiring 4+ years of enterprise support experience, with deep knowledge of email security, SaaS platforms, and cloud ecosystems. The position emphasizes hands-on troubleshooting, cross-functional collaboration with engineering teams, and leveraging AI tools to enhance customer support and internal processes.

Build infrastructure and developer tooling for autonomous AI agents at scale, architecting the 'operating system' that enables hundreds of engineers and thousands of agents to ship code faster. Design agent-ready sandboxed environments, eliminate bottlenecks in the Plan-Code-Test loop, and embed with product teams to automate critical DevX systems. This is a staff-level role requiring full-stack engineering breadth, deep AI fluency, and product obsession for internal developer experience.

Build and scale identity security systems that protect human and machine identities across cloud infrastructure and AI agents using behavioral intelligence and automated policy enforcement. This role focuses on productionizing large-scale data pipelines that ingest and correlate identity signals while shipping guardrails to enable safe automation at cloud speed.

Build identity security infrastructure to protect machine identities and AI agents across cloud and SaaS environments. This role focuses on shipping discovery, monitoring, and policy enforcement systems that ingest behavioral signals from identity and audit logs. You'll drive 0→1 development with emphasis on rapid iteration, large-scale data processing, and AI-native development practices.

Lead Marketing Data Analyst role focused on strategic insights and root cause analysis across GTM performance metrics, pipeline velocity, and conversion optimization. Responsibilities include diagnosing data anomalies, architecting AI-driven analytics agents, maintaining data integrity across marketing tech stacks (Snowflake, Marketo, Salesforce), and partnering with revenue leadership on capital allocation decisions.

Lead internal AI transformation initiatives as a Product Manager at a cybersecurity company, identifying high-impact automation opportunities and building AI-native solutions. Requires deep AI/LLM expertise combined with strong product management experience, software engineering background, and executive-level stakeholder management skills.

Build and maintain AI agent infrastructure and platforms for enterprise GTM teams, shipping weekly releases. Balance between extending core agent capabilities (tools, APIs, integrations) and delivering self-serviceable GTM tooling directly to end users. High ownership, fast-paced environment requiring strong product instincts alongside solid engineering fundamentals in production LLM systems.

This role combines product management with hands-on AI engineering to build internal automation solutions using LLMs and agentic workflows. The ideal candidate bridges strategic thinking with technical depth, independently shipping production-grade AI solutions while communicating impact to executive leadership. Strong product intuition paired with practical AI/ML experience and demonstrated ability to solve ambiguous operational problems is essential.

Tech Lead role focused on scaling and optimizing a production Generative AI conversation engine to support hundreds of millions of enterprise users across multiple chat channels. Requires designing scalable APIs, building product infrastructure for model customization, and championing engineering excellence while collaborating closely with ML experts on real-time, multilingual conversational systems.

Staff-level software engineering role focused on advancing AI agent systems at scale, requiring 6+ years of production systems experience and expertise in distributed systems, LLMs, and agent orchestration. The position emphasizes technical leadership, system design, and collaboration with ML engineers to build enterprise-grade, reliable AI agent platforms.

Staff-level role leading the development of production-grade AI agent systems at scale, focusing on agent orchestration, execution environments, and LLM-powered capabilities. Requires 6+ years of production systems experience, technical leadership skills, and the ability to drive architectural decisions across distributed AI infrastructure.

Senior Fullstack Engineer role focused on building AI-powered agent builder experiences and web platforms at Moveworks. Requires 5+ years of web development expertise with modern frameworks like React, strong product sense, and ability to work across ML/product/engineering teams in a startup environment.