AI humans for real-time human computing
Tavus builds foundational AI models enabling real-time AI humans that see, hear, and respond with emotional intelligence across text, voice, and video. They serve developers, enterprises in sales, support, healthcare, and education, and individuals with AI companions. This creates natural, empathetic human-AI interactions, bridging the gap between humans and machines.
Senior Software Engineer driving Tavus's real-time Conversational Video Interface (CVI). Own end-to-end feature development for multimodal AI conversations, integrate research models, optimize latency, and proactively fix issues in live human-AI interactions. Requires deep Python concurrency expertise and real-time systems experience.
Rapidly prototype and ship AI-powered growth experiments and marketing automation using no-code tools, LLMs, and the Tavus platform itself. Ideal for a hacker-minded growth marketer who builds faster than they brief and thrives on immediate experimentation in a Series B AI startup.
Business Development Representative responsible for top-of-funnel outbound prospecting, lead qualification, and pipeline generation for Tavus's AI Humans platform. Targets developers, product leaders, and GTM executives using AI-native tools and workflows; requires 1-2 years SDR/BDR experience and passion for AI.
Product Designer focused on architecting, governing, and elevating Tavus's design system with exceptional visual, motion, and product craft. Initially owns design system scale and adoption before evolving into product area ownership; requires 6+ years experience building systems from scratch or within frameworks.
Brand & Product Designer at Tavus, spending 80% time evolving bold, cinematic brand identity across website, social, and marketing campaigns while embedding 20% in product to ensure seamless user journeys, design systems, and high-visibility flows. Requires holistic design thinking bridging marketing and product with strong visual, IA, and storytelling skills.
Product Manager to define company-wide product strategy at Tavus, owning end-to-end customer journeys from signup to production outcomes in a high-ambiguity, fast-paced AI startup environment. Requires proven 0→1 and 1+ experience, strong execution bias, and exceptional written communication.
Enterprise Account Executive responsible for owning the full sales cycle, building pipeline through outbound efforts, negotiating complex deals, and managing C-suite relationships for Tavus's conversational AI video agents. Requires 4+ years enterprise sales experience closing six- and seven-figure deals with a $1M+ quota.
Research Engineer optimizing multimodal AI models (video, audio, language) for production using distillation, quantization, sparsification. Focus on latency, cost, quality tradeoffs for real-time generative avatar systems.
Leads research in multimodal audio-visual avatar generation for conversational AI, focusing on diffusion models, long-video synthesis, and integrating verbal/non-verbal signals. Requires PhD, 2-3+ years in generative models, PyTorch expertise, and top-tier publications.
Acts as the founder's right hand, driving cross-functional projects, strategic initiatives like M&A and financial planning, and internal operations in a high-intensity AI startup environment. Requires 0-4 years experience, high agency, curiosity, and polish from consulting, banking, or startup backgrounds.
Leads brand, product marketing, and category development for AI company, owning narratives, content creation across formats, product launches, and distribution via organic/social/PR channels. Requires 4+ years execution experience in fast-paced environments, ideally AI/developer products.
AI Researcher develops and fine-tunes large multimodal models for real-time conversational avatars, modeling verbal/non-verbal behaviors with low latency. Requires PhD or equivalent, hands-on experience with VLMs, PyTorch, and deep learning.
Senior infrastructure engineer owning GPU and AWS cloud infrastructure, partnering with teams to ensure reliability and build developer tools in a fast-paced AI environment. Requires deep AWS/GPU expertise and senior-level ownership.
Owns end-to-end data strategy including sourcing, curating, and structuring multimodal data (text, video, images) for AI model training. Requires strong Python, SQL, large-scale processing, and ML-first mindset with LLM experience.
Forward Deployed Engineer splits time supporting customers with debugging, POCs, and integrations while building SDKs, prototypes, and platform enhancements. Requires strong software fundamentals, full-stack curiosity, and customer-facing problem-solving skills.
Customer Engineer splits time supporting customers with debugging, integrations, and POCs while building SDKs, prototypes, and tools to enhance the platform. Requires strong software engineering fundamentals and customer-facing problem-solving skills.