Top Artificial Intelligence Jobs

Own the end-to-end development of Navi’s ruggedized cockpit edge-compute device, including electrical architecture, component selection, PCB design, enclosure integration, embedded firmware, validation, certification, fleet deployment, and cloud telemetry. Build systems for high-bandwidth real-time audio and flight-data streaming in demanding aviation environments, while collaborating with software and ML teams to support automated debriefing capabilities.

Conduct outbound calls and executive discovery with prospects sourced by AI outbound tools. Qualify opportunities, advance pipeline, and provide qualified leads with context to account executives. Prioritize accounts using sales intelligence, maintain accurate Salesforce records, collaborate with marketing and GTM leadership on messaging, and share call insights. The role requires strong phone skills, pipeline generation experience, executive communication, coachability, and comfort selling complex AI or SaaS products in an early-stage environment.

Identify and prospect high-value AI and enterprise accounts through email, phone, LinkedIn, and events. Research prospects, personalize messaging, qualify opportunities, run initial conversations, and book meetings for Account Executives. Partner on account mapping and multi-threading, use AI tools to improve outreach, and stay informed on AI inference, open-source models, and GPU trends.

Build and ship backend services, APIs, and infrastructure for an AI healthcare platform. Develop LLM and Generative AI workflows, transform prototypes into secure production systems, improve observability and testing, and deploy services using Docker and AWS. Collaborate with senior engineers through code reviews and design discussions while contributing to reliable software that supports home health clinicians and patient care.

Own end-to-end product design for an AI-native clinical research platform. Responsibilities include simplifying complex research workflows, conducting user research and usability testing, prototyping, iterating, and partnering with engineering through delivery. The role also requires aligning designs with regulatory, privacy, IRB, and compliance requirements while creating intuitive experiences for research participants and clinical staff.

Own accounts payable operations, expense report auditing, month-end close, invoicing, revenue recognition, reconciliations, subsidiary accounting, ERP maintenance, financial audits, and corporate tax filing. The role requires a CPA, accounting experience in audit and technology environments, and strong NetSuite and Expensify skills.

Own the enterprise product experience, including the web application, notifications, reporting, APIs, permissions, EMR integrations, and implementation processes. Lead product work from discovery through launch, partner closely with engineering and customer-facing teams, support enterprise rollouts, and convert manual implementation work into scalable product capabilities. Engage healthcare providers and administrators to inform roadmap priorities and technical tradeoffs.

Own enterprise customer onboardings from signed agreement through stable production launch. Integrate ERP and CRM systems, clean and reconcile messy financial data, ship production TypeScript integrations, improve AI agent prompts and evaluations, and convert customer learnings into product improvements and scalable onboarding playbooks. The role combines software development, customer-facing technical ownership, and building the company’s forward-deployed engineering function.

Lead Neptune’s expert marketplace by recruiting and onboarding qualified professionals, developing supply partnerships, expanding into new markets, managing marketplace operations, analyzing performance, and building scalable processes and support systems. The role works closely with founders and requires strong commercial judgment, analytical skills, independence, hands-on execution, and comfort using AI and automation.

Build Doowii’s conversational analytics platform across frontend, backend, data interaction, and infrastructure. Responsibilities include creating data-query interfaces, developing APIs, integrating AI-driven features, optimizing query and storage performance, managing AWS and GCP systems, designing data models, and maintaining ingestion pipelines involving NiFi, Kafka, Iceberg, and BigQuery. The role also involves model evaluation, schema evolution, change data capture, high-throughput streaming, automation, and rapid startup iteration.