Replicant
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Lead a Product Engineering squad (8–15 engineers), prioritize people development, hiring, process, and predictable delivery. Drive AI-native practices, technical credibility, customer-focused outcomes, testing/validation, and cross-functional partnerships while owning team budget and headcount.
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Build full-stack features for enterprise-scale voice and chat AI: integrate ASR/TTS and conversational LLMs, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to ship high-impact, scalable solutions.
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Design, build, and operate customer-specific AI agents end-to-end: map workflows, write prompts and conversation flows, integrate with customer APIs, create test sets, monitor live conversations, debug production issues, and iterate on agent quality with product feedback.
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Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.
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Contract Marketing Operations / System Administrator responsible for CRM data quality and hygiene, systems administration across GTM stack, managing RevOps ticket queue, end-to-end campaign operations, and pulling ad-hoc Salesforce reports and dashboards to support revenue and marketing teams.
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Work with sales and engineering to own the technical pre-sales process: gather requirements, design AI agent integrations, write and review APIs, run hands-on trials using prospect call data, iterate prompts and conversational designs, analyze conversational insights, and present technical findings to business and technical stakeholders.
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Own and grow distributor and advisor relationships, co-sell with partners, source and drive pipeline to closed revenue, enable advisors, and help scale channel playbooks and processes.
