Top Artificial Intelligence Jobs

Build and extend Mason, an AI-native property management assistant, across the full stack with a backend bias. Responsibilities include orchestrating multi-step LLM workflows, improving agent reliability, integrating with customer systems, extracting context from conversations and invoices, managing pipelines, and coordinating complex workflows among owners, tenants, vendors, and field agents. The role requires autonomy, attention to detail, customer engagement, and frequent in-person collaboration in San Francisco.

Drive pipeline and manage the full sales cycle for V7 Go, an AI platform serving insurance organizations. Build tailored business cases, develop multiple champions across technical and commercial stakeholders, and close $30,000–$250,000 ARR deals. Serve as an insurance-industry AI expert and strategic advisor while partnering with marketing, sales development, account management, and solution engineering teams.

Own inbound and outbound sales for a real estate lead marketplace. Conduct discovery calls and demos, qualify customer needs, close new business, develop existing accounts, generate pipeline, maintain CRM records, follow up consistently, and achieve revenue targets. The role is remote, works US hours, and offers uncapped commission with potential advancement into sales management.

Own Synthetic’s visual identity across brand, marketing, and product. Define and maintain the brand, design and build websites and launch materials, and implement product features in TypeScript and SvelteKit alongside engineers. The role requires shipping designs directly, working across multiple design disciplines, and moving quickly in an early-stage, in-person startup environment.

Lead multimodal research strategy for video and sensor understanding at petabyte scale. Select models, representations, training approaches, and evaluation methods; transition prototypes into production inference; define benchmarks; and optimize distillation, routing, cascades, quantization, GPU utilization, throughput, and cost. Translate customer research needs into technical programs while remaining hands-on with papers, models, experiments, and architecture. This is a senior individual contributor role with no direct reports.

Own Sim’s marketing from positioning and technical storytelling through launches, distribution experiments, and performance measurement. Translate the AI platform’s technical capabilities into compelling messaging, content, demonstrations, and product narratives. Work directly with founders to reach builders and enterprise teams, drive activation and qualified pipeline, and use market feedback to shape go-to-market strategy and product direction.

Builds simulation infrastructure and software-in-the-loop sensor simulation products that help customers test and validate autonomous driving, drone delivery, eVTOL, robotics, and other physical AI systems safely at scale.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Manage simultaneous enterprise customer implementation projects from kickoff through closure. Responsibilities include defining scope, success plans, requirements, schedules, budgets, and communication; tracking progress, risks, resources, and issues; managing contracts and change control; coordinating internal and customer stakeholders; leading escalations and reporting; and conducting post-implementation reviews. The role partners with Product, Engineering, Solutions Delivery, and Customer Success to deliver successful software deployments, with up to 30% travel.

Lead the intersection of patent law and AI product development for global and Japanese IP markets. Engineer and evaluate AI outputs for patent tasks, build legal benchmarks, shape the product roadmap, support client pilots and demos, develop AI adoption playbooks, and ensure readiness for Japanese-language patent documents and JPO practices. The role requires patent qualification, Japanese and English fluency, technical expertise, client engagement, and regular travel between London or New York and Japan.