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Sierra is building a platform to enable companies 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 offices globally. Our Travel, Transportation and Hospitality (TTH) team supports major players in the travel industry, helping them deliver standout customer experiences and drive business growth. We focus on supporting customers in critical moments, maximizing guest lifetime value, and building delightful products. The TTH team is small, scrappy, and collaborative, with engineers who are product-led thinkers, capable of owning an agent end-to-end. As part of this team, you will set the standard for going beyond your role and help build the future of the travel industry with AI.

Crusoe is seeking a Staff Applied AI Inference Engineer to accelerate the abundance of energy and intelligence by optimizing large language models for production environments. This role involves owning the inference stack end-to-end, from profiling costs and implementing modern optimization techniques to deep dives into serving code when defaults are insufficient. The work is applied, focusing on real customer deployments with varying models, traffic, latency targets, and cost constraints. You will collaborate with customer engineering teams to tailor deployments, transition workloads from proof-of-concept to production, and ensure engineered gains are realized by users. This is a hands-on engineering position requiring coding, profiling, and low-level optimization, with a customer-facing component involving product and technical solutions work.

$215k - $260k

Cohere

Cohere is seeking an experienced Program Manager to join our customer-facing Program Management team, focusing on UK public sector and defence accounts. This role requires a deep understanding of technical program delivery, the complexities of frontier AI models, and the unique needs of government and defence organizations. You will act as the crucial link between Cohere's advanced AI capabilities and the specific requirements of UK Government and defence clients, navigating intricate procurement processes, stringent security demands, data sovereignty concerns, and regulatory compliance to ensure successful deployment and scaling of our AI solutions. You will collaborate with various internal teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements.

$12k - $18k

Decagon is seeking a highly technical and customer-facing Agent Deployment Engineer to join their specialized technical delivery team. This role is responsible for the end-to-end execution of AI agent builds for strategic enterprise customers. You will own the implementation work required to launch and scale enterprise-quality agents, partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business. You will work closely with various internal teams to create tight feedback loops, execute builds, surface gaps, and influence the evolution of Decagon’s agent-building platform based on real customer needs. This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.

Decagon is seeking a highly technical and customer-facing Agent Deployment Engineer to join their specialized technical delivery team. This role is responsible for the end-to-end execution of AI agent builds for strategic enterprise customers, from initial design and scoping through implementation, evaluation, and production deployment. You will partner with customers and internal teams to define success, translate requirements into build plans, and deliver agents that significantly impact the customer's business. This position requires a strong technical foundation, excellent communication skills, and the ability to thrive in fast-moving, ambiguous environments, shaping solutions as much as implementing them.

$175k - $230k

Decagon is seeking a highly technical and customer-facing Agent Deployment Engineer to join their specialized technical delivery team. This role is responsible for the end-to-end execution of AI agent builds for strategic enterprise customers, from initial design and scoping through implementation, evaluation, and production deployment. You will partner with customers and internal teams to define success, translate requirements into build plans, and deliver agents that significantly impact the customer's business. This position requires a strong technical foundation, excellent communication skills, and the ability to thrive in fast-moving, ambiguous environments, shaping solutions as much as implementing them.

$175k - $230k

Decagon is seeking an Agent Deployment Engineer to lead the end-to-end execution of AI agent builds for strategic enterprise customers. This is a highly technical delivery role focused on launching and scaling enterprise-quality agents. You will partner with customers and internal teams to define success, translate requirements into build plans, and deliver agents that significantly impact business outcomes. The role involves close collaboration with Product Management, Agent Success, Engineering, and Go-To-Market teams to create feedback loops, execute builds, identify gaps, and influence the evolution of Decagon's agent-building platform based on customer needs. This position is ideal for individuals who excel in fast-paced environments, enjoy shipping customer-facing technical work, and can effectively balance hands-on execution with structured thinking.

Decagon is seeking an Agent Deployment Engineer to lead the end-to-end execution of AI agent builds for strategic enterprise customers. This highly technical role involves partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that significantly impact business outcomes. You will collaborate closely with Product Managers, Agent Success, Engineering, and Go-To-Market teams to create feedback loops, execute builds, identify gaps, and influence the evolution of Decagon's agent-building platform based on real customer needs. The ideal candidate thrives in fast-paced environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.

OpenAI

We are seeking an Applied AI Engineer to collaborate with strategic partners in designing, building, validating, launching, and operating agent enablement integrations. This hands-on, partner-facing role involves contributing to the platform, leading technical engagements, and translating complex requirements into secure, production-ready solutions. You will work across various internal teams and external partners to identify high-value user journeys, prototype architectures, write code, conduct evaluations, and support post-launch iterations. The ideal candidate is a product-minded engineer who excels in full-stack development, authentication systems, and clear communication, aiming to deliver low-friction, trustworthy agent experiences.

Cohere

Cohere is seeking an experienced Engineering Program Manager to join our customer-facing Engineering Program Management team. This role requires curiosity, drive, independence, and leadership, with hands-on experience managing projects for enterprise-grade software or enterprise-focused machine learning solutions. You will have the unique opportunity to shape Cohere’s operations, collaborate with leading minds in the LLM space, work directly with our Strategic Customers as well as Applied ML Engineering, Forward Deployed Engineering, Platform, Product, and Go-to-Market teams. You will serve as the "technical" voice of Cohere for the customer, making high-impact contributions to our fast-growing company, product, and culture. This role is open to candidates based in Korea.

Cohere

Cohere is seeking an experienced Program Manager to join its customer-facing Program Management team, focusing on public sector and defense accounts in Europe, particularly in France. This specialized role requires an individual who understands technical program delivery, the complexity of frontier AI models, and the unique requirements of government and defense organizations. You will act as the critical bridge between Cohere's AI capabilities and the needs of Ministries, Agencies, and defense organizations across Europe, navigating complex procurement processes, security requirements, data sovereignty, and regulatory compliance to ensure successful deployment and scaling of AI solutions. You will collaborate with various internal teams, serving as the technical program lead and trusted advisor for sensitive government and defense engagements.

OpenAI

As an Enterprise Applied AI Engineer at OpenAI, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. This role involves writing and debugging code, building evaluation systems, resolving complex integrations, and guiding decisions across model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve.

Glean is seeking backend and infrastructure engineers to build platforms that measure, explain, and improve AI quality at scale. This role involves owning core systems for large-scale evaluations, processing traces, powering observability workflows, and providing engineers with clear signals about assistant and agent behavior. You will work on systems that need to be scalable, secure, permissions-aware, fast, and cost-efficient, directly shaping how AI products are shipped. This is an opportunity to work at the intersection of distributed systems, data infrastructure, applied AI, and product quality, helping to build the systems that determine if new models, prompts, retrieval strategies, and agent workflows are ready for enterprise customers.

Mercor is seeking an Enterprise Applied AI Leader to build and scale a technical delivery team responsible for deploying Mercor's Enterprise AI platform for enterprise customers. This is a customer-facing leadership role integrated with Sales/GTM and delivery teams, focused on leading engineers in the end-to-end technical delivery of production-grade AI systems. You will work hand-in-hand with customer stakeholders to solve complex business problems and contribute to the commercial relationship, with success measured by customer outcomes and commercial impact. Your primary responsibility is enabling your engineering team to execute, while being technically credible and capable of hands-on contribution.

OpenAI

OpenAI is seeking an experienced systems generalist to join the GPT Infrastructure team. This role involves building an automated inference optimization platform that handles workload analysis, target hardware profiling, compiler and runtime context, and trusted verification. You will design and implement both the OpenAI-hosted control plane and the partner-side software responsible for evaluating candidates on real accelerator hardware. The goal is to create a reliable system that ensures reproducible performance results and maintains clear trust boundaries for sensitive information, turning a powerful research workflow into a scalable product.

Cartesia is a foundation model company pioneering AI that learns and interacts with the world like humans. Our mission is to architect the next generation of AI, building on our invention of State Space Models (SSMs). We are a well-funded startup with a team of experts in AI research, systems engineering, and product development. As a Technical Sourcer, you will be instrumental in our growth by identifying and engaging top-tier technical talent. This is a hands-on role where you will source, screen, manage candidates, and contribute to strategic hiring initiatives. You will be responsible for developing and executing innovative sourcing strategies across various channels, building robust candidate pipelines, and crafting personalized outreach to attract exceptional individuals.

Lambda Security is responsible for protecting critical digital assets, including training data, model weights, and sensitive inputs for AI models. As a Security Engineer, you will contribute to various aspects of the security program, such as building detections, hardening infrastructure, reviewing designs, automating tasks, and responding to incidents. You will collaborate closely with Product Engineering, Data Center Operations, IT, and Technical Program Managers to enhance the security posture of Lambda's AI cloud infrastructure. The role involves delivering on the security roadmap, expanding detection capabilities for AI-specific threats, maturing incident response processes, and developing security automation. You will have access to LLMs hosted on Lambda's infrastructure to advance security operations.

$12k - $18k

We are seeking a high-ownership Deal Desk Manager to be one of the first hires for our Deal Desk function in the APJ region. This is a hands-on individual contributor role that sits at the intersection of Sales, Legal, Finance, and Revenue Operations. You will partner with the APJ sales team to structure, price, and close enterprise deals, providing essential in-time-zone deal support as the region scales. You will own the APJ deal desk as your domain, bringing global discipline to the region and managing deal support end-to-end. This role offers significant strategic weight, requiring you to be involved in live deals, manage pricing and deal structure, build quotes and order forms, and shepherd deals through approvals. You will also identify and address recurring friction points in deal processes, establishing scalable processes, playbooks, and guardrails.

Poolside is building a world where AI drives economically valuable work and scientific progress, aiming to accelerate software development with agentic systems, coding assistants, and frontier models. This role is on the compute team, focusing on optimizing GPU workload scheduling and inference serving. You will partner with the inference team to enhance throughput and latency for evaluations and reinforcement learning, collaborate with the scalability team to stabilize large-scale fault-tolerant training, and work closely with the infrastructure team to ensure GPU nodes are healthy and fully utilized. Your work will directly impact research velocity and contribute to the company's mission of building frontier models.

Poolside is building a world where AI is the engine behind economically valuable work and scientific progress, aiming to accelerate software development with agentic systems, coding assistants, and frontier models. This role focuses on designing and implementing the build, CI/CD, and tooling infrastructure that researchers and engineers rely on daily. You will join the infrastructure team as the second engineer focused on developer experience, partnering closely with the current owner while sharing on-call, incident response, and platform ownership. The mission is to make it seamless for researchers and engineers to build, test, and ship by optimizing the monorepo, ensuring reproducible builds, and maintaining a coherent Python ecosystem through automation.