Product Marketing Manager, Developer Platform
As Product Marketing Manager, you drive go-to-market strategies for OpenAI’s developer platform, focusing on adoption, strategic launch planning, and growth of APIs among developers and businesses. You collaborate closely with Product, Engineering, and GTM teams to develop product positioning, messaging, marketing plans, post-launch campaigns, and customer/market insights.
Software Engineer, Monetization Infrastructure
You will design and build backend and infrastructure systems for OpenAI’s monetization and ads stack, emphasizing reliability, privacy, security, and large-scale performance. You’ll develop APIs and platforms, drive 0→1 infrastructure projects, and collaborate cross-functionally with Product, Research, and Design teams.
Engineering Manager, Monetization Product & Platform
Lead and develop a high-performing engineering team to build core monetization and ads systems at OpenAI. Define and execute the technical strategy and roadmap for next-generation monetization infrastructure while collaborating closely with product, design, and research partners.
Engineering Manager, Monetization Infrastructure
Lead and develop a high-performing engineering team to build the core monetization and ads systems at OpenAI. Own the technical strategy, roadmap, and execution for foundational monetization infrastructure, ensuring alignment with safety, privacy, and policy standards.
Robotics Lab Manager & Technician
The Robotics Lab Manager & Technician oversees the prototyping lab, building, debugging, and maintaining robotics assemblies and subsystems. They collaborate closely with engineers to manage lab operations, track inventory, and ensure efficient hardware iteration and development.
Senior Applied AI Engineer
You will architect and develop robust backend systems to integrate with proprietary LLM APIs and take ownership of critical system components, from backend APIs to AI agent implementation. You'll collaborate closely with engineering, data, and product teams to deliver scalable AI-powered applications that improve healthcare operations.
Forward Deployed Engineer - Strategist
As a Forward Deployed Engineer Strategist, responsibilities include meeting with strategic customers to understand their critical audio and voice AI needs and identify their biggest pain points, identifying relevant use cases through deep engagement with customer problems and workflows, and working with Engineers to implement voice and audio AI technology into innovative solutions. Design and architect bespoke integrations for customers to ensure the technology fits seamlessly into their products and operations. Guide customers on best practices for implementing voice and audio AI models to maximize effectiveness. Present results of work and proposals for future work to audiences ranging from technical teams to C-suite executives. Collaborate with Research and Product teams to incorporate field insights into ElevenLabs' software products and AI models. Build and deliver compelling demos of the voice and audio AI technology to new and existing customers. Scope out potential applications in new industries and expand AI solutions across different sectors globally. Take full ownership of end-to-end execution of major projects for strategic partners, working hands-on to deliver high-impact solutions. Collaborate daily with customers' engineering and executive teams to ensure optimal implementation of ElevenLabs' technologies.
Forward Deployed Engineer
As a Forward Deployed Engineer, you will lead technical discovery with customers to understand their business challenges, data environment, infrastructure landscape, and operational workflows. You will architect end-to-end multimodal agentic AI solutions involving LLMs, vision models, speech models, RAG pipelines, realtime perception–decision–action loops, agent frameworks, planning, tool-use, orchestration, and integration with enterprise APIs, databases, security systems, VMS, IoT, MDM, or existing apps. You will conduct PoCs, benchmarks, and A/B evaluations, producing clear documentation on metrics, model performance, constraints, and ROI. You will work closely with customer data teams to gather, clean, and preprocess multimodal datasets including text, images, audio, video, and sensor data, and build and optimize custom LLM prompts, fine-tuned LLM/vision models, domain-specific embedding models, custom scorers, loss functions, and evaluation metrics. You will advise customers on LLMOps best practices including lifecycle management, scalable APIs, agent reliability, function-calling strategies, and safety guardrails. You will demonstrate how Reka’s multimodal models can interpret CCTV, documents, screens, emails, speech, and logs, combine perception with reasoning and action, and integrate with enterprise tools to perform tasks autonomously. You will help customers understand advanced concepts such as tool-use and planning, multi-agent workflows, knowledge grounding and retrieval, chain-of-thought versus distilled reasoning, and observability and telemetry for AI agents. You will design and run workshops for audiences from business leaders to data scientists and train customers on AI fundamentals, multimodal models, deployment patterns, and Reka platform usage including APIs, SDKs, and agent creation. You will produce sample notebooks, reference architectures, code snippets, reusable templates, and best-practice guidelines. Internally, you will collaborate with product, engineering, and research teams to influence the roadmap based on customer needs, contribute internal prototypes, demos, agent frameworks or tools that improve presales velocity, and assist in competitive analysis against other AI vendors.
Legal Innovation Partner
Legal Innovation Partners at Harvey provide strategic counsel to innovation leaders on planning and executing AI transformation within legal organizations. They foster product insights and thought leadership in the legal innovation community and facilitate industry collaboration.
Legal Product Specialist (Innovation)
Legal Product Specialists at Harvey build trusted relationships with law firm and in-house legal teams, guiding how to integrate Harvey's AI into daily practice. They design onboarding, enablement, and strategic programs for customer adoption, collaborate with Customer Success Managers and Account Executives, surface adoption obstacles, and translate legal needs into product feedback.
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