Jobs in United States

Agent Post Training in United States

781 active opportunities · Updated October 2026

Explore current agent post training jobs across United States. Filter by work mode, employment type, experience, department, date posted and distance.

H
📍 Kalamazoo, MI, United States
✓ Quality checkedCompany trend +310%

Become a part of our caring community With over 10 million sales interactions annually, Humana understands that while great products are important, it's the quality of our service that truly defines us. We know that when our members and prospects have delightful and memorable experiences, it strengthens their connection with us and enables us to put their Health First. After all, a health services company that has multiple ways to improve the lives of its customers is uniquely positioned to put those customers at the center of everything it does. The MarketPoint Career Channel Team is looking for accomplished Medicare Sales Field Agents. This is a field-based role, and you must live in the designated territory to serve their local community. As part of a collaborative team of 8–12 Medicare Sales Field Agents, you'll work under the guidance of a Senior Manager and Regional Director who are committed to your success. Together, you will help bring Humana's strategy to life: Deliver on the fundamentals, differentiate through exceptional service, and grow by expanding our reach and influence. What You'll Do in This FIELD-based Role: Deliver: Build trust and educate individuals on Humana's Medicare Advantage plans and additional offerings like Life, Dental, Vision, and Prescription coverage. Differentiate: Create meaningful, face-to-face connections through grassroots marketing, community events, and in-home visits—providing a personalized experience that sets Humana apart. Grow: Drive self-generated sales, meet performance goals, and expand Humana's presence in the market by becoming a valued resource and building relationships in your community. Benefits include: Medical, Dental, Vision, and a variety of other supplemental insurances Paid Time Off (

SalesforceRecruitment
H
📍 Lansing, MI, United States
✓ Quality checkedCompany trend +310%

Become a part of our caring community With over 10 million sales interactions annually, Humana understands that while great products are important, it's the quality of our service that truly defines us. We know that when our members and prospects have delightful and memorable experiences, it strengthens their connection with us and enables us to put their Health First. After all, a health services company that has multiple ways to improve the lives of its customers is uniquely positioned to put those customers at the center of everything it does. The MarketPoint Career Channel Team is looking for accomplished Medicare Sales Field Agents. This is a field-based role, and you must live in the designated territory to serve their local community. As part of a collaborative team of 8–12 Medicare Sales Field Agents, you'll work under the guidance of a Senior Manager and Regional Director who are committed to your success. Together, you will help bring Humana's strategy to life: Deliver on the fundamentals, differentiate through exceptional service, and grow by expanding our reach and influence. What You'll Do in This FIELD-based Role: Deliver: Build trust and educate individuals on Humana's Medicare Advantage plans and additional offerings like Life, Dental, Vision, and Prescription coverage. Differentiate: Create meaningful, face-to-face connections through grassroots marketing, community events, and in-home visits—providing a personalized experience that sets Humana apart. Grow: Drive self-generated sales, meet performance goals, and expand Humana's presence in the market by becoming a valued resource and building relationships in your community. Benefits include: Medical, Dental, Vision, and a variety of other supplemental insurances Paid Time Off (

SalesforceRecruitment
H
📍 Grand Rapids, MI, United States
✓ Quality checkedCompany trend +310%

Become a part of our caring community With over 10 million sales interactions annually, Humana understands that while great products are important, it's the quality of our service that truly defines us. We know that when our members and prospects have delightful and memorable experiences, it strengthens their connection with us and enables us to put their Health First. After all, a health services company that has multiple ways to improve the lives of its customers is uniquely positioned to put those customers at the center of everything it does. The MarketPoint Career Channel Team is looking for accomplished Medicare Sales Field Agents. This is a field-based role, and you must live in the designated territory to serve their local community. As part of a collaborative team of 8–12 Medicare Sales Field Agents, you'll work under the guidance of a Senior Manager and Regional Director who are committed to your success. Together, you will help bring Humana's strategy to life: Deliver on the fundamentals, differentiate through exceptional service, and grow by expanding our reach and influence. What You'll Do in This FIELD-based Role: Deliver: Build trust and educate individuals on Humana's Medicare Advantage plans and additional offerings like Life, Dental, Vision, and Prescription coverage. Differentiate: Create meaningful, face-to-face connections through grassroots marketing, community events, and in-home visits—providing a personalized experience that sets Humana apart. Grow: Drive self-generated sales, meet performance goals, and expand Humana's presence in the market by becoming a valued resource and building relationships in your community. Benefits include: Medical, Dental, Vision, and a variety of other supplemental insurances Paid Time Off (

SalesforceRecruitment
H
📍 Muskegon, MI, United States
✓ Quality checkedCompany trend +310%

Become a part of our caring community With over 10 million sales interactions annually, Humana understands that while great products are important, it's the quality of our service that truly defines us. We know that when our members and prospects have delightful and memorable experiences, it strengthens their connection with us and enables us to put their Health First. After all, a health services company that has multiple ways to improve the lives of its customers is uniquely positioned to put those customers at the center of everything it does. The MarketPoint Career Channel Team is looking for accomplished Medicare Sales Field Agents. This is a field-based role, and you must live in the designated territory to serve their local community. As part of a collaborative team of 8–12 Medicare Sales Field Agents, you'll work under the guidance of a Senior Manager and Regional Director who are committed to your success. Together, you will help bring Humana's strategy to life: Deliver on the fundamentals, differentiate through exceptional service, and grow by expanding our reach and influence. What You'll Do in This FIELD-based Role: Deliver: Build trust and educate individuals on Humana's Medicare Advantage plans and additional offerings like Life, Dental, Vision, and Prescription coverage. Differentiate: Create meaningful, face-to-face connections through grassroots marketing, community events, and in-home visits—providing a personalized experience that sets Humana apart. Grow: Drive self-generated sales, meet performance goals, and expand Humana's presence in the market by becoming a valued resource and building relationships in your community. Benefits include: Medical, Dental, Vision, and a variety of other supplemental insurances Paid Time Off (

SalesforceRecruitment
R
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an

RestAIGoRust
R
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 6.5 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $257M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. Applying to Render We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, an

RestAIGoRust
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors . This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination . Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. Contribute

AWSMachine LearningAI
C
📍 United States· Full-time
✓ Quality checkedCompany trend -100%

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors . This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination . Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. C

AWSMachine LearningAI
D
📍 Colorado, California, United States· Full-time
✓ High-confidence listingCompany trend -84.7%

From $85K/yr

Quick readStrong listing-quality and freshness signals

The Team As Datadog’s in-house product experts, the Technical Escalation Engineering (TEE) team plays a critical role in driving our global success. We enable our customers, from the world’s most innovative startups to the largest enterprises. Through deep technical expertise, relentless problem-solving, and exceptional customer engagement, we educate, guide, and troubleshoot, delivering high-impact solutions that shape the customer experience. Whether through hands-on technical call, in-depth fact findings meeting, or complex investigations, we set the gold standard for technical excellence and customer advocacy. As part of our TEE team, you’ll tackle the most challenging technical problems, collaborate directly with Engineering and Product to refine and evolve our platform, and mentor teams worldwide, elevating the technical bar at every level. Role Summary As part of the Technical Escalation Engineering (TEE) team, you’ll operate at the heart of Datadog’s ecosystem, working at the intersection of Technical Solutions, Engineering, Product, and our Customers. Every challenge you take on will directly impact the performance, scalability, and success of both our clients and our platform. You’ll be in an environment that moves fast, challenges you daily, and rewards curiosity, ownership, and technical excellence. This is your chance to shape the future of observability and security, driving innovation, mentoring teams, and influencing product direction while witnessing your expertise make an immediate and lasting impact. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop deep technical expertise and continuously learn as the product evolves. Investigate complex escalations, lead high-stakes technical calls, and drive solutio

PythonDockerKubernetesLinux
D
📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%

From $192K/yr

Quick readStrong listing-quality and freshness signals

As the Senior Product Manager for the Actions & Automations team, you will own the ecosystem that enables customers, partners, and Datadog teams to build, deploy, and operate AI agents on Datadog. You will drive the strategy and execution for the platform capabilities, developer experience, integrations, and extensibility model that make Datadog the best place to build agents that understand and act on production systems. Modern engineering organizations are entering a new era where software is not only monitored and operated by humans, but increasingly by AI-powered agents. As agentic workflows reshape how teams build, operate, secure, and troubleshoot systems, customers need a platform for creating specialized agents, connecting them to business and engineering systems, governing their behavior, and extending them to solve unique organizational problems. You will define and build the ecosystem that makes this possible. Agent Builder sits at the intersection of Datadog's products, AI capabilities, and ecosystem strategy. You will have the opportunity to work across the breadth of the Datadog platform, partner with teams throughout the company, and help establish Datadog as the foundation for operational AI. At Datadog, we place value in our office culture, the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Define the vision, strategy, and roadmap for Datadog's Agent Builder platform and ecosystem. Own the core platform capabilities that enable customers and partners to create, customize, deploy, and manage AI agents. Drive the extensibility model for agents, including integrations, tools, actions, context sources, APIs, SDKs, and developer workflows. Shape how agents perform actions across Datadog products and third-party systems. Partner closely with AI, platform, infrastructure, and product tea

AIGoRustSpring
D
📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%

From $192K/yr

Quick readStrong listing-quality and freshness signals

Today, everyone from PMs to Sales to SREs uses AI to query their business data - but every answer is a one-off with no governance, no consistency, and no visibility for data teams. We're building the system that fixes this: a context layer that learns from existing data tools driving high quality and consistent answers, an AI-powered query experience, full governance for data teams, and rich analysis surfaces to present and share the results. You'd be building a zero to one product of what we believe will become a major new product line for Datadog. At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What you'll do Drive the product vision and roadmap spanning the Data agent experience, the semantic/context layer, governance console, chat experience and analysis surfaces (dashboards, notebooks, sheets) Own the end-to-end product lifecycle from discovery to launch, working with a cross-functional team of engineers, designers and other PMs Deeply understand the needs of two key personas: data teams (who govern and curate) and data consumers (PMs, engineers, SREs, executives who ask questions) Design the context and governance layer that makes AI-powered analytics trustworthy - including auto-generation from existing BI tools, eval frameworks, confidence scoring, and self-improvement loops Define how observability data and business data come together to serve unique use cases Engage directly with early customers and internal dogfooding users to iterate on accuracy, usability, and trust Independently research the competitive landscape across legacy BI vendors, warehouse-native analytics, AI-first startups, and AI labs Work on the product pricing Work with GTM teams to define positioning, packaging, and the path to displacing entrenched tools Who you are 5+ years of experience

SQLAIGoRust
D
📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -84.7%
Quick readStrong listing-quality and freshness signals

Datadog's integrations are the connective tissue between our platform and the technologies our customers run in the real world. As a Sr. PM on the Agent Integrations team, you will own the vision, prioritization, and execution for 100+ integrations that run directly inside the Datadog Agent from foundational infrastructure (MySQL, Kafka, Kubernetes) to the rapidly growing landscape of self-hosted AI and on-premise enterprise technologies. This is a high-impact, breadth-first role at the intersection of infrastructure observability and the frontier of AI-native workloads. At Datadog, we place value in our office culture; the relationships it builds, the creativity it brings, and the collaboration of being together. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Own the Agent Integrations roadmap. Determine which new integrations to build and which existing ones to improve, balancing customer demand, business impact, and engineering capacity across a catalog of 100+ technologies. Drive the expanding AI integration surface. Lead product strategy for self-hosted AI workloads, including LLM inference frameworks (e.g., Hugging Face TGI, BentoML), AI agents, MCP servers, and model orchestration tools, so Datadog customers can monitor every layer of their AI stack. Expand on-prem and hybrid coverage. Prioritize and execute new integrations for on-prem technologies including storage systems, HPC schedulers, network devices, and legacy enterprise platforms where customers run critical workloads. Build observability for ERP systems. Define and drive Datadog's strategy for monitoring enterprise ERP platforms (SAP, Oracle EBS/Fusion, Microsoft Dynamics) covering performance, job execution health, and integration layer telemetry so enterprise customers can observe their ERP stack alongside the rest of their infrastructure. Analyze adoption and customer feedback at scale. Use data from multiple sources to

SQLPostgreSQLMySQLMongoDB
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Agent Infrastructure team at OpenAI is responsible for building systems that enable training and deployment of highly useful AI agents, both internally and for the world. We work hand-in-hand with researchers to design and scale the environment in which agentic models are trained – providing a workspace for AI models to execute code, debug issues, and develop software just as human SWEs do. Our training environment for agentic models operates at an extremely high scale and has the flexibility to emulate any environment in which an agent might work. At the same time, our team builds and maintains OpenAI’s core platform for the deployment and execution of agents in production. Our systems power products such as Codex, Operator, tool use in ChatGPT, and future agentic products. Some of the most challenging technical problems in scaling the capabilities and utility of agents and agentic models lie in the infrastructure layer – and our team is focused on building the research and production systems that enable OpenAI to train the most capable models in the world, and maximize the utility of our agentic products for users around the world. About the Role As a Software Engineer on the Agent Infrastructure team, you will have the opportunity to work closely with both research and product at OpenAI - building and scaling systems to train highly capable agentic models, and building the platform and integrations to launch new agents to hundreds of millions of users worldwide. Your work will consist of both building new capabilities - standing up the infrastructure and integrations needed to train more complex agentic models - and rapidly scaling these new capabilities to some of the largest compute clusters in the world. At the same time, you’ll be instrumental to the launch of agentic products at OpenAI - building, maintaining, and scaling the production platform on which all agents run. We’re looking for people with deep experience building AI infrastructu

AWSKubernetesRestMachine Learning
O
📍 San Francisco, California, United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team The Agent Enablement team works across engineering, product, design, and research to bring our technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, and platform barriers. Our commitment is to facilitate the use of AI to enhance lives, supported by rigorous insights into how people use our products. About the Role We are looking for experienced full-stack engineers to join our new Agent Enablement team. Our goal is to design and grow an open ecosystem of agent-enabled sites and services. This is a wide-ranging role: you’ll build new user and agent identity protocols, user experiences to control and observe agents across web, desktop, and mobile, and much more. We will rely on you to drive our technical decisions while also steering our product and partnership direction, optimizing for both short-term impact and long-term success of the ecosystem. We value engineers who are impact-driven, autonomous, and adept at removing barriers to forward progress. In this role, you will: Design the primitives and protocols for an open agent ecosystem, enabling our users’ agents to make the best use of sites and services across the internet. Build a next-generation user experience to observe and control agents, across web, desktop, and mobile. Evolve our approach to token consumption across subscriptions and API customers. Execute on fast-paced projects in collaboration with research, design, data science and other product engineering teams. Work closely with our strategic customers and partners to grow the ecosystem. You might thrive in this role if you: Have strong full-stack engineering skills and experience shipping customer-facing products from concept to production. You’re comfortable working across frontend, backend, APIs, data models, and product desig

AWSRestAIGo
O
📍 United States· Full-time
✓ Quality checkedCompany trend -80.2%

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role We’re seeking an exceptional Staff - Principal level offensive security domain expert to build agents that continuously identify and coordinate remediation of vulnerabilities across OpenAI’s infrastructure and applications. You will be the technical owner of this effort, combining deep offensive security judgment with agent engineering to build a production system that can operate safely and reliably at scale. As OpenAI increasingly uses automation throughout the company, we believe our security testing must become increasingly automated as well. Advances in model capabilities create an opportunity to test more of our attack surface than would be possible through human effort alone and a need to ensure that we remain ahead of those same capabilities as they become available to attackers. In this role, you’ll build a portfolio of specialized agents that develop a deep understanding of OpenAI’s infrastructure, applications, processes, and security boundaries. These agents will combine internal context with feedback from running systems to explore our cloud environments, Kubernetes clusters, web applications, endpoints, external attack surface, and other high-value targets. The goal is for agents to not only discover vulnerabilities, but also to validate exploitability, document impact, drive remediation, and verify fixes. Success will be measured through outcomes like vulnerabilities fixed, attack surface covered, and performance on evals

AWSKubernetesLinuxRest
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