Top Artificial Intelligence Jobs

Own Decagon’s website roadmap and day-to-day execution, including page launches, site changes, workflows, and international localization. Lead SEO and AEO strategy across traditional and AI-driven search, execute programmatic content initiatives, analyze performance using marketing tools, and manage contractors and internal stakeholders. The role also supports scalable website operations, privacy updates, and pipeline-focused measurement.

Build and productionize computer vision and machine learning systems that convert video into reliable workplace safety incidents. Responsibilities include designing Flink-based perception pipelines, training and optimizing models with Triton and TensorRT, implementing tracking and probabilistic reasoning, improving latency and cost, building observability and evaluation systems, integrating ML tooling, and partnering with platform, customer success, GTM, and data operations teams on deployments and data quality.

Own federal civilian enterprise sales for a cybersecurity software platform. Responsibilities include building territory and account plans, sourcing pipeline, navigating agency buying committees and procurement vehicles, managing RFI/RFP responses, addressing FedRAMP and ATO requirements, forecasting accurately, closing deals, partnering cross-functionally, and feeding market insights back to product. The role requires strong federal civilian relationships, cybersecurity knowledge, contract vehicle fluency, self-sourced pipeline experience, and disciplined enterprise sales execution.

Work on robotics and distributed software solutions for material movement and storage in the supply chain industry. The role supports development of a new class of robotics products addressing warehouse and logistics challenges.

Leads PolyAI’s BDR/GTM organization across outbound and product-led growth motions. Responsibilities include coaching, hiring, onboarding, performance management, pipeline qualification, PLG signup conversion, forecasting, compensation planning, succession planning, and cross-functional collaboration with sales, marketing, and product teams. The role requires scaling enterprise B2B software lead generation while improving qualification processes, behavioral scoring, messaging, and pipeline quality.

Owns the intelligence platform roadmap for enterprise healthcare engagement, including decisioning, orchestration, integrations, interoperability, identity and consent management, and scalable deployment. The role defines strategy and requirements, prioritizes platform investments, leads partner integrations, establishes success metrics, and coordinates Engineering, AI/ML, Data Science, Security, Design, and client teams. It also embeds healthcare compliance, security, and responsible AI throughout the product lifecycle.

Own the product lifecycle from discovery through deployment by understanding customer pain points, prioritizing enhancements, collaborating with engineering, testing releases, and supporting demos. The role is onsite in New York City, works closely with leadership and customer teams, and includes occasional travel to Europe. Candidates need 4+ years of product management experience, enterprise customer understanding, strong communication, relationship management, and organizational skills.

Build backend systems that translate computer vision and machine learning outputs into interactive product experiences. Responsibilities include designing perception-to-product data contracts, shipping AI-generated geometry to a canvas, balancing accuracy with user experience, closing human correction loops, and bridging AI/ML and product engineering teams. The role requires Python and TypeScript, familiarity with PyTorch and model postprocessing, data contract versioning, and experience deploying computer vision or ML outputs in user-facing products.

Design, build, and scale generative AI-powered enterprise web applications. Develop Nest.js and Node.js APIs, integrate databases and LLM providers, implement prompt engineering and RAG workflows, and contribute to Angular and TypeScript frontend features. Ensure performance, reliability, security, testing, and code quality while collaborating with product and design teams. Mentor engineers, participate in system architecture discussions, and help establish technical direction for AI platform capabilities.

Own Conveo’s contract lifecycle operations, including drafting, redlining, negotiating, templating, and tracking SaaS agreements. Support data privacy, corporate legal matters, risk management, and external counsel coordination. Build AI-powered legal workflows, playbooks, and self-service processes that accelerate enterprise deal execution and reduce legal bottlenecks. Partner closely with sales and internal teams to provide pragmatic, actionable legal guidance.