AI Agents Jobs

Scale AI

Scale AI is seeking a highly technical and strategic Senior Manager, Defense Engineering to lead engineering efforts for defense-related projects in the Middle East region. This role involves driving the delivery of custom AI applications for defense and national security clients, combining deep defense domain knowledge with AI and full-stack engineering expertise. The company is focused on using AI to address critical public sector challenges, creating custom AI applications, generating training data for national LLMs, and providing AI upskilling and advisory services. As these applications move to production, Scale AI is investing in the infrastructure and people to ensure reliability, security, and trust with government partners.

Legora is seeking a Senior Product Manager to lead their Enterprise team, focusing on capabilities critical for demanding customers. This role involves owning the strategy, roadmap, and execution for features like data retention, audit logging, roles and permissions, ethical walls, metrics and ROI tracking, and external-facing APIs. The goal is to make Legora the most trusted, governable, and admin-friendly platform in legal AI, earning the confidence of CIOs, managing partners, and general counsels. This is a high-leverage, high-visibility position at the forefront of defining enterprise-grade governance and AI-native admin experiences for a rapidly evolving industry.

Glean is seeking a Designated Technical Support Engineer to join our rapidly expanding startup. We are building a modern knowledge assistant personalized to every employee in an organization, making all information within the company accessible, contextual, and fresh. This role is customer-obsessed, providing both proactive and reactive support to our growing customer base to ensure the best customer experience in the industry. This position requires dedication to select customers, including additional background screenings, clearances, training, certification, and carrying customer-provided equipment. Extended on-call shifts may be required based on customer contractual obligations.

Scale AI

Scale AI is seeking an Infrastructure Engineering Manager to lead a team focused on the full deployment lifecycle of AI applications in live customer environments. This role bridges the gap between AI research and production, transforming innovative prototypes into scalable, high-performance enterprise solutions. The team works on interactive AI applications, enterprise SaaS products, and platform capabilities, ensuring deployments are production-ready, secure, and built to last. The manager will drive improvements through customer feedback, automation, and scalable playbooks, focusing on complex technical problems at the intersection of customer impact and platform excellence.

$216k - $270k

Decagon is seeking a Product Manager for Duet, their AI agent building partner. This role is crucial for defining the product roadmap and customer experience for Duet, which helps teams improve their AI agents throughout their lifecycle by analyzing conversations, identifying shortcomings, and generating updates. The Product Manager will own initiatives end-to-end, from discovery to launch, and will work at the intersection of product, AI research, and go-to-market strategy. This position is ideal for someone who can set the product vision and drive the development of software that empowers agents to improve themselves.

$232k - $290k

WRITER is a company where leading enterprises orchestrate AI-powered work, aiming to expand human capacity through superintelligence. They offer a platform for building and deploying AI agents grounded in company data and powered by enterprise-grade LLMs. This role is pivotal in driving AI transformation for enterprise customers, moving beyond theory to hands-on deployment and measurable impact. The Director, Solutions Architecture will lead a team of solutions architects, mentor them, and inspire them to solve complex business challenges with innovative AI solutions, directly influencing customer success and WRITER's growth.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As a Forward Deployed Infrastructure Engineer, you will be a founding member of this function, owning the end-to-end lifecycle of customer deployments. You will help define how Sierra's AI platform is deployed and operated across enterprise environments, working directly with customers to architect, deploy, upgrade, and manage the AI platform infrastructure. Your role will be crucial in ensuring deployments meet security, compliance, and operational requirements, while also establishing the standards, tooling, and processes for scalable and repeatable deployments. You will partner cross-functionally with Engineering, Product, Sales, and Customer Success to scale complex customer engagements.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google. We are looking for a Software Engineer, Agent to design and deliver production-grade AI agents that are central to Sierra's growth, driving revenue directly. These are not prototypes but powerful, scalable systems running in production across various industries.

Glean is seeking an AI Success Manager (AISM) to serve as the primary post-sales point of contact, ensuring platform health and driving customer success. This hands-on role involves leading and orchestrating successful implementations and long-term customer engagements. You will be responsible for efficient technical deployment, providing proactive strategic guidance, and building and executing joint success plans and Executive Business Reviews (EBRs). AISMs collaborate closely with Account Executives, AI Outcomes Managers, Solution Architects, Support, and R&D teams.

$140k - $200k

Cohere

Cohere is seeking a Forward Deployed Engineer, Infrastructure Specialist to join their team. This role focuses on shaping how enterprises harness AI in real-world applications, acting as a bridge between Cohere's North AI workspace platform and client engineering teams. You will be at the forefront of solving complex problems and securely integrating AI into critical sectors like finance, healthcare, and telecommunications. The ideal candidate will be passionate about working at the cutting edge of Agentic AI and deeply care about customers.

$20k - $40k

LangChain is seeking a System Integrator Alliance Manager to foster and grow partnerships with system integrators (SIs) building on their AI agent platform. This role is crucial for ensuring SIs are technically capable and commercially aligned to successfully deliver AI agent deployments using LangChain. You will build relationships with practitioners, provide technical enablement, create co-sell motions, and develop joint go-to-market programs. The ideal candidate will have a deep understanding of the SI ecosystem and a genuine technical fluency in AI, particularly LLMs and agent architectures, to drive measurable pipeline and build impactful partnerships.

$220k - $280k

Glean is seeking a Designated Technical Support Engineer to join its growing startup. Glean offers a Work AI platform that enhances productivity through intelligent search, an AI assistant, and AI agents. The platform provides enterprise-grade infrastructure for managing AI across businesses, with extensive connectors and LLM flexibility. The company is recognized for its innovation in AI and is expanding globally. The Designated Technical Support Engineer will act as a key technical resource for customers, ensuring a high level of service and customer satisfaction.

$120k - $190k

Decagon is seeking a Senior Agent Product Manager to own the successful delivery, adoption, and expansion of AI solutions for their enterprise customers. This role serves as the primary technical and strategic owner, building trust with customer leadership, scoping solutions, and developing working AI agents. You will be the direct owner for each account's agents end-to-end, partnering with various internal teams to scale the agent in production and integrate it into the customer's core operations. This position offers a unique blend of executive influence, product building instincts, and founder-like ownership, allowing you to build solutions directly on high-stakes accounts with cross-functional support.

Cohere

Cohere is seeking a Software Engineer to join the Agents & Automations team, which builds the core platform for North, an AI workspace designed for enterprises. This role involves developing AI-powered workflows, structured automations, and flexible agents that interact with sensitive enterprise data. You will contribute to building the workflow builder, execution engine, integrations, debugging tools, observability, evaluation systems, and feedback loops that enable customers to understand and improve their AI deployments. The work is broad, spanning frontend, backend, and AI-powered systems, with a focus on shipping reliable software that helps customers augment or automate business workflows with trustworthy agents and automations.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family, which shape our culture and actions.

Decagon is seeking a Staff Software Engineer to join the Agent Product Engineering team. This role involves building and shipping best-in-class AI agents that redefine customer experiences across various channels. You will have end-to-end ownership, working directly with industry leaders to solve complex customer needs with reliable and intuitive AI agents. This position is ideal for someone who thrives on deep system challenges and building scalable solutions impacting millions of users.

$200k - $400k

AI research at WRITER focuses on building the scientific foundation for ambitious enterprise AI deployments. As a staff AI research scientist, you will drive a high-impact research agenda centered on large language models, agentic reasoning, and system-level capabilities essential for enterprise-scale AI. This role offers a unique opportunity to advance the field while directly contributing to products used by hundreds of thousands daily. You will work on post-training, planning, multi-step reasoning, and agentic workflows, directly shaping the future of enterprise AI performance and scalability. The role provides resources, infrastructure, and cross-functional support to pursue and implement ambitious ideas rapidly.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. This role is dedicated to one of Sierra's largest and most strategic customers, focusing on AI agents operating at massive scale across millions of customer interactions. You will serve as the product owner embedded within a dedicated team, responsible for the overall quality and evolution of production AI agents across chat and other channels. This position requires a blend of product sense, technical depth, and a keen eye for user experience, driving quality, and pushing platform capabilities forward.

Cohere

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! Why this role? North is Cohere's cutting-edge AI workspace platform, designed for enterprise users. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools, data and applications. The North for Finance team builds specialized AI solutions for finance teams while accelerating adoption of agentic workflows for their mission-critical operations. You'll work at the intersection of AI innovation and financial services, developing features that integrate domain-specific knowledge with enterprise-grade reliability. As an engineer on this team you will help transform complex financial workflows through intelligent automation. You'll extend core agentic platform capabilities with built-in data isolation, structured-data manipulation and collaborative governance, positioning North as the leading AI workspace for finance. As a Senior Software Engineer, you will: - Design, build, ship, and maintain customer facing workflows and agentic automations - Own features end-to-end, from technical design through implementation, testing, launch, and iteration. - Collaborate closely with Product, UX, ML, and Sales teams to validate requirements and prototype quickly - Work closely with customers in the finance domain - Develop custom interfaces that seamlessly integrate with financial data sources and existing enterprise tools - Extend core agentic platform capabilities to support finance-specific requirements and ensure reliability, security, and auditability - Develop collaborative workspaces with appropriate access controls (RBAC) and data isolation - Own technical decisions that balance speed, quality and user needs, maintaining alignment with the product roadmap - Use AI actively in your work, while staying accountable for the quality and reliability of what you ship You may be a good fit if: - You have experience in full-stack product engineering - You have built, shipped, and operated production software used by thousands of users - You have strong product judgment, pay attention to details and care deeply about the end user needs - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - You bring high agency: you learn quickly and drive change without waiting for perfect instructions. - You are curious and can identify, troubleshoot and fix issues across systems boundaries - You can clearly document and track architectural proposals and technical decisions - You are excited to use AI, while staying directly accountable for the systems you build - You have integrated AI agents in your day-to-day with well structured workflows It's a bonus if you have: - Experience in financial services or regulated industries - Familiarity with agentic AI architectures and implementation patterns - Knowledge of access control implementation in complex systems If this role sounds exciting, but your experience does not match every bullet, we still encourage you to apply. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. How and Where We Work: - Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.

Cohere

Cohere is a leading enterprise AI company building cutting-edge foundation AI models and end-to-end products. We are seeking a Product Manager for Integrations to own the end-to-end integrations surface for North, Cohere's agentic AI platform. This role involves defining the integration ecosystem strategy, prioritizing and shipping integrations, and building underlying platform capabilities. You will partner with strategic customers and collaborate with engineering and field teams to drive adoption and customer value.