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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.

Build and iterate full-stack systems powering AI voice agents from concept through deployment. Research agent orchestration, prompting, and model-alignment approaches; collaborate with product, design, and go-to-market teams to improve usability; document findings and participate in technical reviews. The role also involves debugging live systems, responding to customer needs, and shipping continuous improvements.

Build and iterate full-stack systems powering AI voice agents from concept through deployment. Research agent orchestration, prompting, and model-alignment approaches; improve usability with product, design, and GTM teams; document findings; participate in technical reviews; and support rapid improvements to live customer deployments.

Build and iterate full-stack systems powering AI voice agents from concept through deployment. Research agent orchestration, prompting, and model-alignment approaches; collaborate with product, design, and go-to-market teams to improve usability; document findings and best practices; and participate in reviews and technical discussions. The role requires strong TypeScript, React, NextJS, and NodeJS skills, familiarity with APIs and live-system debugging, and interest in conversational AI or voice technologies.

Build full-stack systems powering AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability; document findings, share knowledge, participate in peer reviews, and contribute to technical strategy.

Build and iterate full-stack systems powering AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability; document findings, share technical learnings, and participate in reviews and technical discussions.

Build and iterate on full-stack systems powering autonomous AI agents, from user-facing experiences through orchestration and deployment. Research agent orchestration, prompting, and model alignment approaches; collaborate with Product, Design, and Engineering to improve usability for nontechnical users; document findings, share knowledge, and participate in reviews and technical discussions.

The Growth Engineer will design and optimize GTM systems to enhance revenue efficiency through data analysis, automation, and experimentation, collaborating with teams to convert ambiguous problems into structured processes.

Build and own customer data ingestion and large-scale pipelines powering AI workers. Design syncing, retrieval, and data lake systems, improve reliability/observability, partner with product/backend teams, and contribute across infrastructure to give AI agents access to enriched customer data.

The Senior Customer Success Manager will drive customer adoption and engagement, own a portfolio of enterprise clients, and advise C-level stakeholders.