Design and build intuitive interfaces for AI infrastructure tools by collaborating with research and engineering teams. You will translate complex AI workflows into actionable product features while maintaining high standards for usability and visual quality.
You will own the full sales cycle for an observability and developer-tools offering, from prospecting to closing enterprise deals. You will also partner with founders to establish repeatable sales motions, refine messaging, and build lightweight sales systems.
Design and build backend services to ingest and contextualize data from IoT devices and external partners. Manage end-to-end data flows, including normalization, warehousing, and monitoring to support shipment risk assessment.
You will build and operate scalable data ingestion pipelines and develop entity resolution systems to match inconsistent listing data. Additionally, you will create valuation logic and monitor data quality to ensure accurate pricing estimates for the marketplace.
Design and productionize computer vision architectures for fine-grained item identification in a resale marketplace. Own the entire lifecycle from research to production, including model accuracy, latency, and reliability.
The CFO will establish the finance function, own financial planning and modeling, and partner with leadership on strategy and growth. They will also develop finance systems using AI tools and manage commercial terms with bank and fintech clients.
Build and ship product features across the stack, including CRM and deal pipeline tools, integrations with real estate portals and business services, and AI-powered capabilities. Own the quality, performance, and reliability of features while collaborating with founders and customers to refine the product.
You will partner with leadership to prioritize and deliver the product roadmap while designing and owning complex features end-to-end. Additionally, you will write robust, scalable code and contribute to engineering best practices and team culture.
You will own the design process for an AI-powered recruiting product, creating intuitive interfaces and end-to-end flows for candidates and hiring teams. Additionally, you will build and evolve the product design system while conducting user research to inform product decisions.
You will own product features from initial hypothesis and prototyping through to production release and iteration. You will collaborate with customers and sales teams to identify problems and build scalable, AI-powered solutions.
You will lead product marketing strategy by developing clear messaging and positioning for AI-powered legal technology products. You will also collaborate with cross-functional teams to create sales enablement materials, manage content production, and drive product launch narratives.
You will own the full sales cycle from initial outreach to closing and account growth for AI data solutions. This involves building relationships with research and data teams at AI labs to provide expert annotation and reinforcement learning services.
You will build and scale full-stack production systems for a complex B2B financial SaaS product. You will own features from initial problem definition through launch and iteration while collaborating with stakeholders.
The Principal Product Manager will lead a team to build an AI-driven platform by identifying operational problems and prototyping solutions. They will collaborate with engineers to productionize these prototypes into reliable, scalable systems that improve operational workflows.
You will lead production deployments and build integrations with third-party systems using APIs and webhooks. Additionally, you will translate customer requirements into robust workflows and debug production issues to ensure reliable implementations.
You will define the visual and interaction design direction for an early-stage AI recruiting startup while building and documenting design systems. You will also create high-fidelity prototypes and collaborate closely with product and engineering teams to ship features.
You will shape platform architecture and own critical product features while establishing engineering practices to scale the platform. Additionally, you will partner with leadership to deliver the product roadmap and provide technical mentorship to the engineering team.
You will build and improve scalable systems to automate quality control for training data used in reinforcement learning. This involves defining data quality standards, designing evaluation metrics, and integrating validation pipelines into vendor workflows.
The role involves owning the early sales motion from prospecting to closing for healthcare and emergency services billing organizations. You will develop outreach strategies, conduct product demos, and provide customer feedback to the product team.
You will build evaluation pipelines and benchmarks to measure AI system performance while turning research prototypes into production-ready workflows. Additionally, you will manage cloud infrastructure, backend services, and APIs to support the deployment of AI-driven legal products.
You will build and maintain reliable APIs, backend services, and document processing workflows while integrating AI capabilities into practical legal software. The role involves delivering core product features from technical design through release and collaborating with cross-functional teams to improve system performance.
Lead enterprise sales efforts by managing relationships with law firms and corporate legal departments from outreach to contract closure. Collaborate with product and engineering teams by providing market feedback and insights gathered from legal operations leaders.
Design and scale backend services, data pipelines, and AI-powered infrastructure to support manufacturing supply chain workflows. Manage system observability, incident response, and the integration of intelligent agents and third-party APIs.
Build and ship features for AI agent evaluation, execution replay, and developer experience. Engage with the AI engineering community and translate user feedback into product improvements.
You will evolve an AI agent product into scalable infrastructure and design the agent runtime including orchestration and memory. Additionally, you will set technical architecture and engineering standards while building across the full stack.
Lead complex data and evaluation programs for AI research teams by turning technical requests into clear specifications and milestones. Manage external vendors, improve data quality processes, and collaborate with cross-functional teams to drive product improvements.
You will own the real-time voice layer, managing streaming speech-to-text, LLM turn-taking, and text-to-speech pipelines. Additionally, you will focus on reducing end-to-end latency and building evaluation harnesses to ensure reliable production performance.
You will own the full end-to-end sales cycle, including prospecting, discovery, demos, and closing deals. Additionally, you will partner with founders to refine go-to-market strategies and translate customer feedback into product insights.
You will own the product roadmap for a logistics orchestration and quality compliance platform, focusing on agentic AI features. You will collaborate with engineering, design, and data science teams to translate complex regulated workflows into shippable product solutions.
You will define the product vision and strategy for an AI-powered platform connecting brands and creators. You will also manage the end-to-end product lifecycle, from identifying customer pain points to driving execution and launch.
You will manage the full shipper lifecycle, including prospecting, quoting, and coordinating freight deliveries. Additionally, you will negotiate rates with customers and carriers while identifying opportunities to grow existing accounts.
You will design and build the geometry and data core for a new BIM authoring tool specifically for AI agents. Additionally, you will develop generative design features that adhere to building codes and client constraints.
You will own the end-to-end lifecycle of full-stack features from concept to production using NestJS and React. Additionally, you will engage directly with customers to validate needs and iterate on the product roadmap.
You will own the end-to-end US sales cycle, including outbound prospecting, technical evaluations, and closing enterprise deals. Additionally, you will build and manage partner channels while providing market feedback to the founding team to influence product development.
You will own the full enterprise sales cycle from prospecting to closing while collaborating with founders to build repeatable sales systems. Your role involves leading technical evaluations and establishing effective procurement and forecasting rhythms for the company.
Design and build purpose-specific AI coding agents to automate supply chain integrations. Develop and maintain core infrastructure for hosting and running integration platforms.
You will design and build interfaces for an AI agent development platform, managing the full product lifecycle from concept to shipment. You will collaborate with research and engineering teams to translate complex reinforcement learning workflows into clear, actionable user tools.
Design and build backend services for a logistics orchestration platform while managing end-to-end partner data flows. Develop predictive systems for OTIF performance and automate exception-handling workflows for high-value shipments.
The intern will execute B2C marketing strategies to attract top talent to the Clera platform through paid social campaigns and content creation. They will also manage community engagement and analyze user acquisition funnels to optimize growth metrics.
