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Cohere

Cohere is seeking a Partner Development Manager for the Europe Enterprise Market to drive the adoption of cutting-edge AI solutions. This role is pivotal in transforming the European enterprise landscape through strategic partnerships, working closely with leading enterprises, system integrators, and technology partners. You will be instrumental in co-creating value, expanding market reach, and delivering impactful AI solutions tailored to the unique needs of European businesses. This is a high-impact opportunity to shape the future of AI partnerships in Europe, working at the intersection of technology, business, and policy.

Fiddler is building trust into AI, especially with the rise of Generative AI and Agents. Our platform helps organizations deploy trustworthy and transparent AI solutions by monitoring, evaluating, securing, analyzing, and improving AI applications. We partner with AI-first organizations to establish responsible AI practices, enabling engineering and business teams to understand AI outcomes. Joining Fiddler means making an impact by ensuring AI applications at production scale have operational transparency and security, offering monumental learning opportunities in a rapidly innovating industry.

$174k - $215000k

OpenAI

We are seeking an Applied AI Engineer to collaborate with strategic partners in designing, building, evaluating, and launching high-utility plugins for ChatGPT and Codex. This hands-on, partner-facing role involves contributing to the platform, leading partner engagements, and translating product needs into production-ready integrations. You will work closely with various internal teams at OpenAI and external partner teams to identify use cases, prototype solutions, debug issues, and guide partners through the entire plugin lifecycle. The ideal candidate is a product-minded engineer who enjoys coding, reliability, evaluations, and developer experience, aiming to help partners ship genuinely useful plugins.

Harvey

Harvey is transforming how legal and professional services operate by combining agentic AI, an enterprise-grade platform, and deep domain expertise. This is a rare chance to help build a generational company at a true inflection point, with strong product-market fit and world-class investor support. The team moves fast, takes ownership, and is deeply committed to the mission, operating with intensity and pushing for excellence. As a Product Manager on the Core Platform team, you will own the strategy, roadmap, and execution for the infrastructure powering every user interaction with our global legal AI platform. You will operate at the intersection of deep customer need and hard technical constraints, translating workflows into product requirements. You'll balance ambitious product bets with the operational discipline required to keep a mission-critical platform reliable, scalable, and secure as we expand.

$214k - $300k

Glean is seeking a Product Management Lead to drive product strategy and execution for their Work AI platform. This role involves managing and growing a team of product managers, delivering best-in-class products for knowledge management, and contributing to the company's long-term vision of an intelligent work assistant. As part of a lean product team, you will have a significant impact on shaping the product roadmap and the team itself. You will collaborate closely with Design, Engineering, Sales, Marketing, and Success teams to understand customer needs and build category-defining tools, gaining both breadth and depth of experience.

$210k - $240k

Speak is reinventing language learning with an AI-powered tutor that offers a conversation-first experience. Our mission is to make learning a language accessible and effective, transforming lives by opening doors to new cultures, careers, and communities. We have become the number one language learning app in South Korea and are expanding globally, serving learners across many markets and 15+ languages. As a leading AI company, we are backed by significant venture investment and operate with a distributed team across several international locations.

We are seeking a highly adaptable and results-oriented individual to join our team as a Senior Growth Lead. In this role, you will be responsible for driving growth initiatives across contributor recruitment, user reactivation, and new audience acquisition for Surge AI. You will work collaboratively across various functions, bringing structure to complex challenges and achieving significant outcomes with minimal supervision. This is an opportunity to own critical growth areas end-to-end, from strategy development to execution and iteration, in a fast-paced environment.

Surge is building a platform that powers the most powerful AI models in the world, in partnership with leading AI companies. Our mission is to advance AGI by integrating human intelligence and creativity into the data that shapes AI systems. We combine elite human expertise with cutting-edge tools for scalable oversight, from building rich RL environments to conducting rigorous evaluations. As a Research Scientist focused on data, you will work at the forefront of LLM development by designing datasets that influence how frontier models behave. You will collaborate directly with AI research teams to explore new data collection strategies, assess dataset quality, and discover insights that enhance alignment, safety, and model performance. This is a research-driven, impact-heavy role where you can rapidly test ideas in live production environments, influence data-centric methodologies for top AI labs, and help define how high-quality data drives the next generation of AI systems.

Surge is building a platform to power the next generation of AI, partnering with leading AI labs and frontier model teams. As a Forward Deployed Researcher, you will embed directly with these teams to understand how their models behave in real-world applications and ensure their reliability at scale. This role involves leading hands-on research to evaluate model capabilities, identify subtle failure modes, and design interventions that improve model behavior and deployment outcomes. You will uncover insights that inform future model development, working collaboratively to turn complex real-world challenges into actionable breakthroughs.

Surge is seeking a Software Engineer to focus on Coding Evaluation & Training Data. This role is at the intersection of software engineering and product, responsible for building and running systems that train frontier models to code. You will own end-to-end coding data projects for top AI labs, designing tasks, RL environments, and evaluation schemes that mirror real-world software engineering practices. This is an ideal opportunity for a software engineer passionate about training data quality, agentic evaluation, and system design involving humans, models, and tools, rather than traditional product feature development.

As a Research Engineer, Coding Evaluation & Training Data at Surge, you will be at the forefront of developing systems that train frontier models to code. This role blends software engineering and product development, focusing on creating and managing the processes that teach AI to perform real-world software engineering tasks. You will own coding data projects from conception to completion, designing tasks, environments, and evaluation methods that accurately reflect the complexities of software development. This is an excellent opportunity for a software engineer passionate about training data quality, agentic evaluation, and system design involving humans, models, and tools.

Surge is building a platform to power the next generation of AI, aiming to achieve AGI by combining human intelligence and creativity with cutting-edge tools. As an RL Environments Architect, you will be responsible for designing, instrumenting, and governing the simulated worlds where AI agents learn. This involves defining the core components, reward structures, interfaces, and telemetry that ensure faithful, stable, and scalable training signals. You will also establish standards for data quality and reproducibility across large-scale agent environments, focusing on simulation fidelity, coverage, and failure surfaces to create learnable curricula that drive safe and rapid progress in agentic systems.

Runpod is seeking a Site Reliability Engineer to join their remote-first team. This role is central to ensuring the stability, performance, and operational excellence of Runpod's global AI Developer Cloud platform. You will partner with engineering teams to enhance system design, strengthen observability, and proactively prevent incidents. This position blends software engineering with production operations, focusing on reliability frameworks, SLO design, automation, and production hardening to reduce errors and improve performance across various services and infrastructure. Your work will directly impact platform uptime, incident frequency, and overall system resilience, playing a key role in maintaining trust with developers running critical AI workloads.

$150k - $200k

Glean is seeking a lead engineer to drive the billing and revenue platform that powers Glean’s consumption-based pricing for our AI products. As a lead engineer, you’ll provide deep technical leadership and own critical parts of our billing stack end to end. You’ll work closely with Product, Finance, Data, and Go-To-Market to ensure every AI feature we ship is accurately metered, transparently billed, and margin-positive. At the same time, you’ll help design powerful, elegant abstractions that make it easy and safe for product teams to integrate with billing—from logging usage to surfacing billing insights in the admin console.

$210k - $300k

Replit

Replit is seeking a Security Operations Lead (SOC Lead) to establish, enhance, and manage a 24/7 detection and response capability within a modern, cloud-native, and AI-driven environment. This leadership role will oversee global SOC functions including monitoring, SIEM management, detection engineering, alert triage, and operational readiness. A key aspect of this position involves evaluating and integrating emerging AI-based SOC products and autonomous response platforms. The role requires monitoring across multi-cloud environments (primarily GCP, with AWS/Azure secondary), Kubernetes, SaaS services, endpoints, developer tools, and AI workloads. Collaboration with Cloud Security, Compliance/GRC, SRE, Platform Engineering, IT/Endpoint teams, and AI Infrastructure is essential to ensure the detection strategy scales effectively against evolving threats. This is a hands-on leadership opportunity to shape the future of SOC operations while addressing complex challenges in a high-scale AI setting.

Glean is seeking product engineers to contribute to the development of AI Agents for the workplace. This role involves collaborating across product, AI, and platform teams to enable users in building, evaluating, self-improving, deploying, and operating sophisticated agents within the Glean platform. It's a cross-functional position for engineers who enjoy owning user-facing product experiences from conception to completion, while also engaging with the underlying systems. You will influence how users create agents, how these agents function in auto-mode or independently, how they are assessed and enhanced over time, and how to ensure their reliability, safety, and scalability.

Perplexity is seeking creative, AI-native engineers to join our Enterprise Adoption team. This team is responsible for reshaping how people interact with AI agents within organizations and ensuring that Perplexity's AI tools are a perfect fit for our growing Enterprise business. You will engineer the core systems that make Perplexity Computer an indispensable multiplier for internal teams, from recruiting and go-to-market to finance, legal, support, and operations. Learnings from internal teams will also be applied for enterprise customers, bringing frontier AI working patterns to external organizations.

Decagon is seeking a Senior Commercial Counsel to join their fast-growing team. This role will serve as a senior strategic legal partner, primarily responsible for leading complex, high-impact, revenue-generating transactions and partnering closely with sales leadership to structure, negotiate, and close sophisticated enterprise agreements. The position will also support broader commercial legal initiatives, including advising on go-to-market strategies, privacy and regulatory matters, and commercial policies. The ideal candidate is a creative, analytical thinker with exceptional business judgment, a pragmatic, business-first approach, and the ability to build trusted advisor relationships across the organization.

$250k - $300k

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. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving 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.

OpenAI

As an Applied AI Engineer in the Digital Native segment, you will work with industry-leading technology companies to bring new AI capabilities into the products their customers use every day. You will partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products, requiring strong 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. Success is measured by production systems, sustained adoption, and meaningful customer impact.