Top Artificial Intelligence Jobs

Design, develop, and operate large-scale data ingestion, transformation, enrichment, and processing pipelines across cloud, hybrid, and on-premises environments. Build distributed services using Java, Python, and Kafka; optimize data models and platform performance; deploy applications on Kubernetes; support infrastructure automation and CI/CD; troubleshoot production systems; and collaborate with customers and solution architects on implementations.

Work with the founding engineering team to design, prototype, and test electromechanical robotic subsystems for autonomous construction robots. Integrate sensors and actuators, tune motor control, bring up hardware in ROS/ROS2, perform fabrication and assembly, run experiments, analyze results, debug electromechanical issues, and document designs and procedures.

Oversee educational program delivery across schools and community locations, including scheduling, staffing, classroom launches, equipment, facilities, enrollment, and compliance. Supervise and coach instructors, maintain operational procedures, resolve field issues, and communicate with families and school administrators. Develop school and community partnerships, support outreach and proposals, manage implementation, and contribute to enrollment and revenue goals. Maintain accurate operational, attendance, staffing, sales, and partnership records while supporting reporting and process improvements.

Create qualified outbound pipeline with mid-market companies by researching accounts, personalizing outreach, prospecting across phone, email, LinkedIn, referrals, and events, and qualifying sales opportunities. Engage HR, talent, legal, and global mobility leaders; improve messaging and outbound processes using data and AI; maintain CRM discipline; and collaborate with founders and the broader team.

Build and operate data platforms for finance-focused APM solutions, ingesting data into Microsoft Fabric and developing lakehouse and warehouse layers with SQL and Python. Manage source control, CI/CD, environments, security, deployments, production monitoring, incident response, backup, and disaster recovery. Support technical discovery, estimates, documentation, reusable code, and agentic coding initiatives across multiple client engagements.

Own the product surface and underlying services for an AI-powered workflow platform. Build review, correction, and approval interfaces; durable state, jobs, queues, retries, and core domain models; and deliver features end to end from schema through user interface. The role requires strong Python skills, comfort with probabilistic systems, product judgment, customer engagement, and experience building at an early-stage company.

Technical Partner Manager responsible for enabling and supporting global technology partners. Leads technical training, certifications, architecture design, demonstrations, proofs of concept, onboarding, and deployment planning. Partners with sales, product, pre-sales, and engineering teams to translate requirements into scalable semantic AI solutions, build partner self-sufficiency, provide technical guidance, and channel partner feedback into the product roadmap.

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.