Leads technical programs across AI research areas like compute, evals, and RL environments. Drives execution of complex initiatives, establishes processes, and coordinates between research, engineering, and product teams. Requires ML background and experience building programs from scratch.

Manages portfolio of advertising partners on OpenAI's platform, guiding onboarding, campaign launches, performance analysis, and growth strategies. Requires 3+ years in digital ads, account management, or adtech with SQL and data analysis skills.

Designs evaluation pipelines, metrics, and user studies for speech generation and recognition models (ASR/TTS). Trains evaluation models, builds dashboards, and collaborates with ML, data, and product teams to improve performance on large-scale systems.

Acts as trusted advisor to Automotive OEM executives, leading strategic engagements to define vehicle software strategies, conducting market analysis, and collaborating cross-functionally on product roadmaps and GTM proposals. Requires 3+ years automotive management consulting experience and deep industry knowledge.

Develops advanced post-training and reinforcement learning techniques like RLHF/DPO and reward modeling to enhance AI model reasoning, truthfulness, and real-world capabilities at xAI. Seeks passionate AI enthusiasts obsessed with truth-seeking models; prior experience preferred but not required.

Senior/Staff Software Engineer builds end-to-end AI products for clients, spending 75% time coding and 25% with stakeholders like CTOs. Requires 8+ years experience shipping products, applying software engineering to AI systems with high ownership.

Enhances developer productivity for OpenAI's networking team by improving build systems, CI/CD pipelines, test harnesses, and workflows for C++ and Python codebases in multi-server environments. Requires experience with developer tools and infrastructure automation.

Coordinates events, tradeshows, webinars, and field marketing programs to generate prospects and support sales. Requires 1-3 years event/marketing experience, strong project management, and Salesforce familiarity; involves 30-50% domestic travel.

Drives revenue growth by selling complex agentic AI solutions to strategic healthcare and life sciences customers, owning full sales lifecycle from origination to expansion. Requires 8-12+ years enterprise sales experience in regulated healthcare environments with AI/ML fluency and executive stakeholder engagement.

Drives revenue growth by selling complex agentic AI solutions to strategic financial services clients like banks and fintechs. Owns full sales lifecycle, executive relationships, and technical pilots in regulated environments; requires 8-12+ years enterprise sales experience focused on financial services.

Postdoctoral researcher on robotics team developing foundation models, manipulation skills, and sim-to-real transfer for competent robots. Requires recent PhD and publications in top robotics/ML venues; 50/50 split on collaborative and independent research.

Leads technical strategy for complex enterprise AI deals, architects end-to-end solutions, advises executives on AI/LLM adoption, and influences product roadmap. Requires deep customer-facing engineering experience, systems architecture across cloud/data/AI, and programming skills like Python/Java.

Designs intuitive interfaces for developer tools across CLI, desktop, web, and integrations, simplifying complex AI agent behaviors. Requires 4+ years experience, Figma expertise, strong visual/interaction design, and collaboration with engineers.

Owns financial planning, forecasting, performance reporting, and strategic analysis for product lines in a high-growth AI company. Partners with product leaders on investments and metrics like unit economics, requiring 4+ years FP&A experience, SQL proficiency, and SaaS knowledge.

Annotates and evaluates AI-generated engineering workflows and outputs using verified information, while improving model responses across civil, mechanical, electrical, and chemical engineering tasks. Requires 3+ years of engineering industry experience and familiarity with CAD, material billing, and product lifecycle management.

Owns end-to-end server lifecycle in datacenters at scale, from provisioning to decommissioning, with strong focus on automation, trusted compute security, and hardware operations for AI workloads. Requires hands-on server hardware experience and proficiency in Python/Rust/Go plus cloud infra like Kubernetes/AWS/GCP.

Builds and leads accounting operations for a defense tech company, owning general ledger, month-end close, DCAA-compliant systems, government contract compliance, and financial reporting. Requires CPA, 7+ years experience including Big 4 audit, and expertise in federal contracting regulations.

Manages data projects on Hive Data platform to support AI/ML model development, including setup, auditing, and collaboration with Product/ML teams. Requires bachelor's degree, 0-2 years experience, strong organization, and analytical skills.

Owns Lovable’s end-to-end post-training pipeline for language models, adapting reinforcement learning and preference optimization to code-generation and agent workloads. The role combines production engineering, distributed training, evaluation, deployment, and rapid experimentation.

Leads brand, product marketing, and category development for AI company, owning narratives, content creation across formats, product launches, and distribution via organic/social/PR channels. Requires 4+ years execution experience in fast-paced environments, ideally AI/developer products.

Leads architecture and strategy for deploying optimized NLP models in high-throughput, low-latency production environments using Kubernetes and cloud platforms. Mentors engineers and designs custom customer deployments with 8+ years infrastructure experience.

Drives coordination across engineering teams and cloud partners (Amazon Bedrock, Google Vertex, Microsoft Foundry) for AI model deployments. Owns technical roadmaps, launch readiness, and cross-functional alignment in fast-paced AI environment. Requires TPM experience with cloud/AI tech.

Designs and builds core services for the Policy Engine, owning system architecture, tradeoffs in accuracy/consistency/latency, and internal APIs. Requires 6+ years building non-trivial distributed systems with strong engineering judgment.

Generates qualified sales pipeline through outbound prospecting, inbound follow-ups, cold calling, and events for a GenAI SaaS platform. Requires 2+ years BDR/SDR experience, strong pipeline sourcing track record, and ability to translate technical AI concepts into business value.

Optimizes ML models for performance on embedded compute platforms in ADAS/AD stacks, focusing on inference efficiency, pruning, quantization, and profiling across GPU/CPU/SoC architectures. Requires 3+ years experience with deep learning frameworks and embedded systems.

Builds systems and tooling to measure, monitor, and optimize token throughput from GPU infrastructure for OpenAI workloads. Integrates partner compute environments, benchmarks performance, analyzes tokenomics, and develops operational metrics and dashboards. Requires strong distributed systems and infrastructure engineering experience.

Builds and optimizes large-scale compute infrastructure for AI workloads, spanning hardware automation, distributed systems, Kubernetes orchestration, networking, storage, and developer tools. Requires strong systems engineering experience in performance, reliability, and production infrastructure.

Defines product positioning and messaging for developer infrastructure platform, owns launches, fills content gaps, builds internal agentic workflows, and tracks market/competitors. Requires product marketing experience in developer tools, technical fluency, and strong writing.

Leads end-to-end Tokens-as-a-Service programs, converting industrial infrastructure into operational GPU token capacity for AI workloads. Coordinates across engineering, operations, finance, and partners to resolve bottlenecks and hit aggressive timelines. Requires hyperscale infra experience and systems thinking.

Hands-on engineering manager leading a small team to build AI-powered automation systems for internal operations across sales, support, finance, and more. Requires 3+ years management experience, deep AI application expertise, and full-stack technical skills in a fast-iterative environment.

Designs solution architectures and CONOPS for DoD pursuits, translates technical capabilities into customer narratives, leads engagements and demos, and liaises between growth and engineering teams. Requires 5+ years in technical pre-sales/systems engineering, DoD expertise, and active security clearance.

Leads product initiatives for AI voice dictation and agentic frameworks, owning surfaces from vision to launch. Drives rapid experiments, prototypes with AI tools, analyzes data, and collaborates cross-functionally in high-velocity consumer environment. Requires 5+ years PM experience.

Build a human-first AI copilot for live commerce sellers automating backstage operations like chat management, inventory control, and post-show workflows. Requires strong full-stack skills in real-time systems and GenAI products with retrieval and guardrails.

Build an AI-native voice-first co-facilitator for clinician-supervised pediatric group therapy sessions, managing turn-taking, pacing, and data capture while ensuring human override control. Requires strong full-stack engineering with GenAI experience in safety-critical, expert-in-the-loop systems.

Leads design, implementation, and optimization of complex network infrastructures with expertise in cybersecurity, hardware, data centers, and cloud/hybrid environments. Requires 10+ years experience, deep protocol knowledge, and hands-on enterprise networking skills.

Develops high-performance C++ models and infrastructure for aircraft simulation pipelines, enabling faster-than-real-time testing and validation for autonomous systems. Requires 7+ years in simulation software with expertise in dynamics, aerodynamics, and modern C++.

Models inference performance across application, model, and fleet layers using microbenchmarks to build cost-to-serve estimates. Analyzes workloads end-to-end, enhances bottleneck detection tools, and collaborates on optimizations for latency, throughput, and cost.

Drives technical adoption and expansion with strategic partners through hands-on enablement, demos, architecture guidance, issue resolution, and building scalable AI-powered systems for partner success. Blends sales engineering, account management, and customer success expertise in fast-paced remote environment.

Manages deal strategy and operational execution for the EMEA sales organization, structuring non-standard SaaS contracts, pricing, and usage-based deals while coordinating approvals across Sales, Legal, Finance, and other teams. Requires 8+ years in Deal Operations or Deal Desk and strong analytical and cross-functional skills.

This role investigates and operationalizes what makes design excellent, translating design judgment into measurable evaluations, interfaces, and AI products. It suits a highly opinionated designer with strong research instincts, hands-on AI and coding experience, and broad cross-functional collaboration skills.

Build AI systems for taste evaluation, synthetic data, agent tooling, retrieval, crawling, inference, and user-facing experiences. The role favors hands-on experience shipping LLM and agent systems, early-stage startup experience, and comfort inventing infrastructure in ambiguous domains.

Leads customer-facing deployment and technical delivery of an autonomous-systems orchestration platform in military operating environments. The role requires 5+ years of full-stack engineering experience, strong systems and networking expertise, field deployment experience, and U.S. citizenship with clearance eligibility.

Runs the operating system for a curated expert network, maintaining supply data, onboarding workflows, funnel reporting, reactivation campaigns, and engagement touchpoints. The role suits an independent operator comfortable building systems amid ambiguity and prioritizing quality over volume.

Leads and scales a technical L1 support engineering team for enterprise customers, managing SLAs, triaging complex voice AI issues with LLMs/STT/TTS, and bridging feedback to engineering. Requires 5+ years technical support experience, 2+ years managing teams, and fluency in APIs, Python/JS, and voice tech.

Owns marketing strategy, social media growth on Twitter/X and LinkedIn, content creation explaining technical AI products, and event planning/execution to build brand and pipeline for AI infrastructure startup. Requires startup marketing experience and technical communication skills.

Builds QA systems, tooling, and workflows to audit and validate large-scale RL training data from suppliers. Partners with vendors to improve data quality using Python, Docker, and AI/ML techniques for frontier AI infrastructure.

Partners with engineering leaders to design hiring strategies, source and close top software/ML engineering talent using AI tools and data insights. Leads interviews, scales recruiting processes, and mentors team in a high-growth environment.

Staff AI Engineer shapes technical direction of AI agents for audit workflows, owning architecture, LLM infrastructure, and reliability systems. Requires 8+ years experience with deep expertise in TypeScript/Python, RAG, and enterprise-scale LLM products.

Leads engineering team building self-serve web apps, agentic tooling, and account services for product-led growth in voice AI. Requires strong technical background, leadership experience, and familiarity with LLMs, cloud, and startup pace.

Creates and refines custom voices, prepares audio for cloning and generation, and guides clients on audio tools and best practices. Requires 3–5+ years of audio engineering or related experience, client-facing skills, and strong DAW proficiency.