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Anthropic

As the manager of the Solutions Architect team within Applied AI Enterprise Tech, you will drive the adoption of frontier AI in partnership with the go-to-market organization. You will leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses customer business needs, meets their technical requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the pre-sales team that partners with account executives to help companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This includes hiring great people, establishing scalable processes, and representing Anthropic directly at strategic customer engagements.

$10k - $50k

World Labs is a frontier AI research and product company advancing spatial intelligence. We are seeking a Performance Engineer to optimize our large generative world models for both training and serving, ensuring they run as fast as the hardware allows. This hands-on, individual-contributor role involves identifying and eliminating performance bottlenecks across the entire stack, from low-level kernel optimization to fleet-wide serving efficiency. You will work closely with researchers to accelerate their models and productionize them for efficient deployment.

$200k - $300k

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.

$185k - $225k

Anthropic

Anthropic's Security Governance, Risk, and Compliance (GRC) team is seeking a Security Controls Assurance Lead to translate regulatory, customer, and voluntary obligations into actionable controls. This role will define control requirements and acceptance criteria for global compliance obligations across the software development lifecycle, partnering with engineering teams to ensure implemented controls meet defined standards. The goal is to build an integrated compliance and risk ecosystem that serves as a trust engine and an independent risk advisor for Anthropic.

Replit

Replit is seeking a Senior Compensation Partner to rebuild its compensation function from the ground up. This role will architect the systems, data infrastructure, and AI-enabled workflows necessary for making fast, consistent, and high-quality compensation decisions at scale. You will translate compensation philosophy into scalable systems, leveraging data, automation, and AI to enhance speed, accuracy, and transparency. This position sits at the intersection of compensation, product, and systems design, partnering closely with various internal teams to embed compensation directly into company workflows and reduce reliance on manual processes.

Anthropic

We are seeking an Applied AI Engineer to join our Beneficial Deployments team, with a specific focus on maximizing the impact of Claude within the life sciences sector. The primary objective is to significantly accelerate scientific progress across research and development through to translation. This involves establishing Claude as the essential tool for the life sciences ecosystem, from early academic discovery and biotech innovation to reimagining pharmaceutical pipelines, supported by robust technical infrastructure.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Product Manager for our Public Sector team, which is focused on redefining the relationship between the government and its citizens. This role involves building enterprise-grade AI agents for government institutions, partnering directly with engineers and public sector customers to ship AI agents that serve people in high-stakes, mission-critical interactions. You will discover where agents can make the greatest impact by working closely with federal and state institutions to understand their missions, operating constraints, constituent needs, and service-delivery workflows, identifying and prioritizing new opportunities for AI agents. You will also engage with customers at every level, becoming a trusted advisor and hands-on partner to public sector leaders and their teams, and owning outcomes from concept through production by translating mission goals into a clear product strategy, roadmap, and definition of success.

As a Deployed Engineer, you will tackle challenging problems in applied AI, focusing on production systems that support real-world missions rather than experimental research. You will assist defense, civilian, and intelligence customers in designing, deploying, and operating AI agents within secure, regulated, and high-stakes environments. This role offers a fast feedback loop, tangible mission impact, and the opportunity to directly influence the deployment of AI agents across the federal landscape. You will operate in environments that prioritize security, reliability, compliance (such as FedRAMP, IL levels), and operational rigor.

$150k - $250k

Anthropic

The Endpoint team, also known as Client Platform Engineering, is responsible for managing all laptops and handsets used by Anthropic employees, along with the underlying infrastructure. This team operates with a "configuration as code" philosophy, treating the device fleet as a distributed platform. Currently, the mobile device strategy is Bring Your Own Device (BYOD). This role is pivotal in transitioning to a corporate-issued mobile device program, encompassing managed company phones and Apple accounts across all Anthropic operating regions. You will be instrumental in designing and implementing this program from its initial concept through to full production, defining the standards and platform decisions for a corporate mobile presence at Anthropic.

OpenAI

We are seeking dedicated, experienced, and deeply curious individuals to join our User Operations team. In this role, you will work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, your work will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you will help define what world-class support looks like in an AGI-driven future, partnering closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience.

Hebbia is seeking an infrastructure engineer who views cloud infrastructure as a software problem. In this role, you will be responsible for Hebbia's entire AWS footprint, including accounts, networking, and container orchestration, all managed through code. You will also own the developer platform that our engineering teams utilize. The core of this position involves infrastructure-as-code, ensuring all provisioning is done programmatically. This is a hands-on build role focused on designing multi-account architectures, writing IaC for reproducible environments, optimizing cloud spend, securing infrastructure for enterprise and financial services, and streamlining the path to production for developers.

$160k - $300k

Legora is seeking an AI Enablement Lead to join their growing team. This role is crucial for ensuring that every team at Legora can effectively build, use, and govern AI. As the AI Enablement function is currently managed by one person, this position offers significant ownership and the opportunity to manage engineers, translate business needs into actionable plans, and become the central point of contact for all AI-related matters within the organization. This is a high-ownership, generalist role for an individual energized by ambiguity, who prefers to figure things out and deliver results rather than wait for detailed instructions.

Harvey

Harvey is seeking a Manager, Enterprise Application Engineering to build and lead the engineering team responsible for the company's internal business systems. This role involves managing a team of Enterprise Application Engineers and AI Enablement Engineers who develop critical applications, integrations, and agents that power Harvey's business operations. The manager will also remain hands-on with coding and architecture, setting the technical direction and standards for the team. This is a key leadership position, establishing Harvey's Business Technology presence in Dublin and anchoring the EMEA engineering efforts as the company expands internationally. The ideal candidate is a working manager with experience building internal applications and integrations in a fast-paced environment, leading small engineering teams, and a passion for applying AI agents to solve internal business challenges.

Harvey

Harvey is seeking a GTM Systems Administrator to join their GTM Systems team and help scale the systems that power their pipeline and customer experience. This role involves working on a variety of projects across the full GTM lifecycle, from lead management to customer support. The position emphasizes an AI-first approach, utilizing AI tools and agents to build, automate, and maintain systems, moving beyond traditional RevOps or Salesforce administration. The administrator will partner with Sales, Marketing, Support, and Customer Success teams to translate business needs into scalable systems that drive revenue and retention.

Synthesia is seeking an Applied Research Engineer to join their Video team and contribute to building the next generation of production-grade foundation models for human-centric video generation. This role involves working at the intersection of large-scale generative modeling, distributed systems, and production engineering, with a focus on developing and optimizing video base models for realistic, controllable, and expressive synthetic humans. This is an applied research position with direct product impact, requiring the candidate to advance training recipes, scale distributed systems, improve evaluation frameworks, and optimize inference for real-world deployment. The work will directly influence models used by tens of thousands of businesses globally.

Sarvam AI is seeking a Product Manager to join its specialized Chanakya vertical, focused on national security and institutions of national importance. This is a unique opportunity to be at the forefront of building a next-generation defense decision-support product, taking it from conception to launch with real users. You will be instrumental in shaping the product's direction, working closely with senior institutional users and navigating complex environments. This role offers unparalleled learning across the full stack, from understanding customer needs to customizing AI solutions and potentially fine-tuning models. It's a leadership seat with a clear growth path, offering the chance to build and lead emerging functions within a high-impact, zero-to-one journey backed by Sarvam's capabilities.

OpenAI

The Strategic Delivery Lead (SDL) for the Intelligence Community will identify, shape, and deliver OpenAI’s highest-impact deployments for U.S. intelligence organizations. You will help IC customers translate mission priorities into secure, technically feasible AI deployments built on the OpenAI API and enterprise products. This role is highly cross-functional and customer-facing, requiring partnership with various internal teams and government stakeholders to align on scope, remove delivery obstacles, and communicate progress. You will own end-to-end execution of technical delivery workstreams, establishing mission outcomes, requirements, roadmaps, and acceptance criteria, while coordinating secure architecture, data integration, and production rollout. Success requires technical fluency, deep program-management expertise, executive presence, sound judgment in classified environments, and a commitment to translating novel AI capabilities into trusted, real-world intelligence mission outcomes.

LangChain is seeking a Deployed Engineer to join their team and work on challenging applied AI problems, focusing on production systems that real teams depend on. This role involves working directly with customer engineering teams to co-architect and co-build AI agents, ensuring technical wins through designing POCs and guiding evaluations. You will help customers deploy and operate agent-based applications, advise on architecture and best practices, and run technical demos and trainings. The position offers a fast feedback loop, visible impact, and the opportunity to shape how AI agents are built in the real world. You will also surface field feedback and contribute reusable patterns and example code, occasionally contributing code upstream to improve customer outcomes.

$150k - $250k

OpenAI

As an Applied AI Architect for Education, you will be the senior technical owner for a named portfolio of education customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business,” shaping each institution’s AI strategy and guiding its journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable institutional impact. You will own the technical account plan across ChatGPT Edu, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate institutional priorities into a focused portfolio of use cases, an actionable adoption roadmap, and a clear path to durable value and growth. You will work across academic, research, administrative, and operational contexts, accounting for the realities of education environments, including shared governance, complex stakeholder networks, academic calendars, accessibility, data privacy, responsible-AI expectations, and the need to build confidence among communities with differing levels of AI readiness.

Mercor is seeking a Member of Technical Staff to join their Enterprise Platform team. This role is crucial for building and running complex agents used by enterprise customers and internal Applied AI engineers. You will work across the full stack, focusing on enterprise-grade security, routing, isolated execution, and the intelligence plane that drives improvements. This is a pure platform and infrastructure engineering position, with the opportunity to shape the future of agent platforms in a production environment. You will collaborate closely with Applied AI engineers, owning the platform that bounds the business's offerings.