--- title: 'Inside Sales Representative at Luma' canonical: 'https://feeny.ai/job/inside-sales-representative-luma-new-york-v8yr61ktngae' type: 'job' last_seen: '2026-10-16' --- # Inside Sales Representative at Luma - **Company:** Luma - **Location:** New York, NY - **Compensation:** $150k–$190k - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-04-16 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.gem.com/lumalabs-ai/am9icG9zdDrGqYIEvKSHnKX78Nt1KN-t ## Job description ## About Luma AI Luma’s mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change. Where You Come In This is a rare opportunity to be a key part of the early go-to-market team at the cutting edge of creative AI. As our Inside Sales Representative, you will be instrumental in converting inbound interest into revenue, propelling Luma's frontier technology into the hands of millions. You'll be a high-energy performer responsible for ensuring our pipeline operates with tenacious speed and efficiency, ultimately helping us define a new category of human-machine interaction. ## What You'll Do This is a high-performance opportunity, not a maintenance role. You will: - Convert inbound demand into closed revenue, focusing on smaller deals with high velocity and efficiency. - Manage the entire sales cycle from initial interest to closed-won, ensuring a seamless and efficient pipeline flow. - Assist in refining foundational sales processes and playbooks by providing feedback on bottlenecks. - Execute direct sales strategies for a new category, turning ambiguity into tangible revenue outcomes. - Collaborate closely with marketing and product teams to optimize lead generation and product messaging. - Drive tangible, high-impact results in a fast-paced, resource-constrained environment, demonstrating extreme ownership over outcomes. ## Who You Are - 1-3+ years of full-cycle closing experience in a high-velocity sales environment, with a proven track record of exceeding quota. - A demonstrated "performer" and closer who thrives on converting inbound demand and efficiently closing deals. - Possess a sales mentality, extreme ownership, and high agency, thriving in ambiguous, fast-paced settings. - A relentless executor with high energy and a proven ability to drive tangible results. - Exceptional communication, strategic thinking, and problem-solving skills. - A genuine passion for the creative potential of AI and Luma's mission. - Experience working in the tech industry. What Sets You Apart (Bonus Points) - Experience at high-growth, Sales-Led Growth (SLG) startups. - Background in early-stage AI or creative technology companies. - Prior experience as a "First Sales Hire" or early Account Executive at a Seed/Series A startup. - Familiarity with remote closing techniques and tools. - Passionate about creative execution with an obsession with craft and detail in your sales approach. The compensation range listed is the OTE range and will be on a 50/50 split plus equity and benefits. ## About Luma ## Company Overview - **One-liner**: Luma builds multimodal AI models that can generate, understand, and operate in the physical world, shipping them in products like Dream Machine for creators and teams. - **Entity Type**: Private (Series C) - **Headquarters**: Redwood City, California, USA - **Founded**: 2021 - **Founders**: Not publicly listed on official sources ## Core Business - **Primary industry**: Artificial Intelligence / Generative AI / Creative AI - **Target customers**: B2B (enterprises, agencies, developers) and B2C (creators, filmmakers) - **Mission or purpose statement**: To build unified general intelligence that can generate, understand, and operate in the physical world. ## Products & Services - **Luma Dream Machine**: Consumer-facing product for turning ideas into compelling visuals (video, image, audio, text) using generative AI. - **Ray 3.2 API**: Production-grade video generation API with full creative control—multi-keyframe (up to 16), V2V up to 20 seconds, reframe, 1080p output, native HDR, and 16-bit EXR export. - **Uni-1.1 API**: Multimodal reasoning model API for image generation (text-to-image, reference-guided) and natural-language image editing, with up to nine reference inputs per request. - **Luma Agents**: Agentic creative workflows that plan, generate, iterate, and refine across every stage of creative work—available in the Luma App and trusted by teams at Publicis Groupe, Serviceplan, Mazda, Dentsu, and Humain. - **Open Physical AI Lab**: An open science effort to solve generalization in physical AI, built in the open for the benefit of all humanity. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metrics**: Total Funding: $1.3B+ (official site) / $1.057B (LinkedIn); Annual Revenue: $5M (LinkedIn estimate); Users worldwide: 30M+; Team Members: 250+ - **Notable Investors/Partners**: HUMAIN (led Series C), Andreessen Horowitz (led Series B), Amplify Partners (led Series A), Matrix (led Seed Round). Partners include Envato, Comfy, Runware, Flora, Krea, Magnific, Fal, LovArt. - **Growth Signals**: 250+ team members, 30M+ users, $1.3B+ total funding, 45% yearly LinkedIn follower growth, recent product launches (Ray3.2, Uni-1.1, Luma Skills, Wonder Project partnership), $900M Series C raised November 2025. ## Competitive Advantages - **Full-stack AI**: Luma builds its own foundation models end-to-end, rather than wrapping third-party models—giving it unique control over quality, latency, and cost. - **Multimodal reasoning**: Uni-1 understands intention and responds to direction, not just prompts—offering brand intelligence at the model level. - **Cinematic-grade output**: Ray 3.2 delivers 1080p, native HDR, 16-bit EXR export—production-ready for professional film and advertising pipelines. - **Open science commitment**: The Open Physical AI Lab publishes research openly, attracting top-tier research talent and fostering community trust. - **Speed & cost**: Claims less than half the price and latency of comparable models. ## Strategic Focus - **Scaling enterprise adoption**: Custom deployment for creative teams at scale across advertising, film, and gaming production pipelines. - **Agentic workflows**: Building Luma Agents as a force multiplier for creative teams—automating repetitive tasks while maintaining brand consistency. - **Physical AI research**: Advancing the Open Physical AI Lab to solve generalization in physical AI, bridging digital generation with real-world operation. - **API ecosystem growth**: Expanding the developer platform with two tiers (Build and Scale) and SDKs for Python and JavaScript/TypeScript. ## Why Work Here - **Culture & mission**: "We believe real-world physics is the path to general intelligence. We unite research, product, and go-to-market into one engine." Described as a "lean, high-achieving team" building the future of creative intelligence. - **Compensation & benefits**: Competitive compensation, 100% covered medical/dental/vision for employee and family, $1,500/year learning stipend, catered meals, team events, home office setup. - **Work mode**: On-site roles in Redwood City, CA with additional offices in New York, NY; Los Angeles, CA; and international locations (Munich, Paris, London, Berlin). - **Engineering culture**: Emphasis on shipping frontier research directly into products—"frontier research ships straight into the hands of working creatives." Hiring across research, systems engineering, infrastructure, design, and product. - **Hiring process**: Transparent and fast—aims to complete within 2-3 weeks. Application review within a week, then recruiter screen, hiring manager interview, and team/leadership interviews. - **Employee ratings**: 4.1/5.0 on LinkedIn (9 reviews)—Work-Life: 3.6, Compensation: 4.4, Culture: 4.1, Career: 4.2. - **Open roles**: 46+ open positions including Forward Deployed Engineer, Research Scientist, Software Engineer, Robotics Engineer, Simulation Researcher, Site Reliability Engineer, Product Marketing Manager, Enterprise Account Executive, and more. ## Sources 1. [lumalabs.ai - Careers](https://lumalabs.ai/careers) 2. [lumalabs.ai - Official Site](https://lumalabs.ai/) 3. [lumalabs.ai - LLM Info](https://lumalabs.ai/llm-info) 4. [LinkedIn - Luma](https://linkedin.com/company/lumalabsai) ## Other roles at Luma - [Research Scientist / Engineer – Reinforcement Learning Infrastructure](https://feeny.ai/job/research-scientist-engineer-reinforcement-learning-infrastructure-luma-sf-bay-v3kqd6ee41ag) — Sf Bay Area, CA - [Tech Lead Manager, Inference](https://feeny.ai/job/tech-lead-manager-inference-luma-sf-bay-area-wv3qjs47nghh) — Sf Bay Area, CA - [Creative Technologist](https://feeny.ai/job/creative-technologist-luma-london-1edm2ph4be1t) — London, United Kingdom - [Sales Manager - West Coast](https://feeny.ai/job/sales-manager-west-coast-luma-los-angeles-qdhxhg06y85x) — Los Angeles, CA - [Forward Deployed Engineer (EU)](https://feeny.ai/job/forward-deployed-engineer-eu-luma-london-h5nr5x8w2bhd) — London, United Kingdom - [Product Manager, Applied Research](https://feeny.ai/job/product-manager-applied-research-luma-sf-bay-area-tgmbcragfeqt) — Sf Bay Area, CA - [Product Manager, Core Product](https://feeny.ai/job/product-manager-core-product-luma-sf-bay-area-dx7f4b6fnr4d) — Sf Bay Area, CA - [Social Media Editor](https://feeny.ai/job/social-media-editor-luma-los-angeles-ekyz2de2wh6f) — Los Angeles, CA - [Senior Video Editor](https://feeny.ai/job/senior-video-editor-luma-los-angeles-1ynx82dj6hbw) — Los Angeles, CA - [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-luma-sf-bay-area-s0n3bqsd0qy1) — Sf Bay Area, CA