The Talent Brand Partner will create and manage Luma's employer brand, build content for social media, and enhance the recruitment presence through events and creative campaigns. This role requires hands-on content creation and system development to attract engineering and research talent effectively.
We’re hiring a Talent Brand Partner to build Luma’s recruiting and people brand from the ground up. You’ll own how the world sees us as a place to work: the content, the social presence, the campaigns, the feel. This is a hands-on creator role. We’re not looking for someone to write strategy decks. We’re looking for someone who can make a piece of content that makes a researcher or engineer stop scrolling and think, “I want to build there.”
This is a true zero-to-one role. There’s no existing content engine, no recruiting marketing footprint, no playbook handed to you on day one. You’ll be the one building it. That means making a lot of calls without a process to lean on, shipping scrappy before polished, and figuring things out in motion. It’s rarer work than operating a mature program, and it takes a specific kind of person. If you’ve built something from nothing before and loved the messiness of it, you’ll thrive here.
- Build and own "Life at Luma" across LinkedIn, TikTok, Instagram, X, Glassdoor, Built In, and our careers site. You're the editor-in-chief of how we show up externally as an employer, end to end.
- Create original content: behind-the-scenes videos, team spotlights, product launch stories, day-in-the-life series. You'll have access to some of the most interesting AI research and creative work happening anywhere.
- Own our recruiting presence at the events and conferences where our talent lives: NeurIPS, ICML, SIGGRAPH, meetups, hackathons, and university partnerships. If we’re in the room for a talent moment, you’re shaping how we show up.
- Launch an employee advocacy program so our engineers, researchers, and designers can share their work authentically. Build the templates, write the prompts, coach the people.
- Build a speaker and thought leadership program focused on talent attraction: getting Luma’s researchers, engineers, and designers on the podcasts, panels, and stages where the candidates we want are already listening.
- Design the offer experience: the moment a candidate gets an offer from Luma should feel like a milestone, not an email. Custom packets, team video messages, all of it.
- Partner with our recruiting team to make every role launch a brand moment. No more job posts that disappear into the void. You'll create the kits, the copy, the social campaigns.
- Use AI tooling to move fast. We work natively with Claude, Cursor, Lovable, and whatever else earns its keep. If you can vibe-code a microsite, spin up a content workflow, or automate the repetitive parts of your day, even better.
First 30 Days: Immerse & Diagnose
Spend real time with the researchers, engineers, designers, and creatives building Luma’s products so you understand the story you’re telling. Audit every existing asset, channel, and touchpoint candidates currently experience. Map the partners you’ll rely on (marketing, creative, Dream Lab, recruiting). Deliver a point-of-view on where we are today, where the gaps are, and the first three to five bets worth making.
Days 30–60: Ship & Validate
Get content in market. Publish the first wave of “Life at Luma” stories across the channels that matter for the audiences we’re trying to reach. Launch an employee advocacy pilot with a small, high-signal group. Ship the first role launch kit tied to an active req so we can measure impact against a real hiring moment. Stand up the offer experience v1 so every candidate who receives a Luma offer from here on feels it.
Days 60–90: Scale & Systemize
Shift from shipping one-off moments to running a system. A live content calendar with consistent cadence across channels. Advocacy program moving from pilot to scale with clear templates and enablement. First full brand-to-talent campaign tied to a product moment (Ray3, Uni-1, Dream Machine). Metrics baseline established across awareness, inbound pipeline, and candidate experience so we can measure what’s working and what isn’t.
- Turn a major product launch (Luma Agents, Uni-1, Ray3.14, Dream Machine) into a talent campaign that reaches engineers, researchers, and creatives who aren’t already in the AI conversation.
- Own Luma’s recruiting presence at a marquee industry event (NeurIPS, ICML, SIGGRAPH) end to end: booth strategy, on-site content capture, speaker coordination, and the content engine that keeps the moment alive for weeks after.
- Produce a video series that shows what it’s actually like to build multimodal AI and Unified Intelligence at Luma, told from the researchers’ and builders’ perspectives. Something worth watching whether you’re hiring or not.
- Redesign the offer experience so receiving a Luma offer feels unmistakably Luma: custom packets, personal messages from the team, and a moment that closes candidates rather than an email that gets filed.
- Build a role launch toolkit that turns every new req into a brand moment, not just a job post. Templates, copy, and social assets a hiring manager can ship in under 10 minutes.
- Define Luma’s short-form video strategy for talent across TikTok, Instagram Reels, and YouTube Shorts, reaching the next generation of builders and creators where they already spend their time.
- Build a thought leadership program that coaches Luma’s researchers, engineers, and designers into recognized voices on X, LinkedIn, podcasts, and conference stages in their respective fields.
- Stand up a lightweight careers microsite for a targeted hiring push (e.g., a specialist research team or a GTM function), using modern AI-assisted build tools to go from concept to live in a week.
- 4-6 years creating employer brand content, social media content, or content marketing at a startup or tech company. Portfolio is required and is the most important thing you'll share with us.
- You've actually made things: videos, social posts, campaigns, microsites. Not just managed agencies or written briefs. Show us the work.
- Native fluency across social platforms. You know what works on TikTok vs. LinkedIn vs. Instagram vs. X, and you don't just cross-post the same thing everywhere.
- Comfort with AI tools in your creative workflow. You don't need to be an engineer, but if you can use Claude to draft copy, Lovable to prototype a page, or CapCut to edit video, you'll thrive here.
- Systems thinking. You don't just create content, you build content machines: templates, calendars, processes that scale.
- Zero-to-one builder. You've built an employer brand (or something adjacent) from scratch before. Not “grew an existing function” - started with nothing and shipped. You can point to specific things you built, the decisions you made without a playbook, and what worked vs. what didn't.
- You're at home in a fast-moving, ambiguous environment. You'll be defining this role as you do it, and you're energized by that, not stressed by it.
- Experience at an AI company or deep familiarity with the AI/ML talent landscape.
- Light coding or vibe-coding ability (HTML/CSS, Lovable, Cursor, or similar).
- Experience building employee advocacy or creator enablement programs.
- Video production skills (even scrappy, phone-shot content).
The base pay range for this role is $141,000 – $211,000 per year.
About LumaLuma’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.
Top Skills
Ai Tools
CSS
HTML
Social Media Platforms
Video Production Software
Luma AI San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Seeking a Staff Software Engineer to lead Cash services, architect distributed systems, and manage technical strategies for Coinbase's Consumer Cash team.
Top Skills:
ClickhouseGoKafkaMongoDBRedis
Artificial Intelligence • Hardware • Healthtech • Software
Lead development of a two-way audio communication platform, optimizing performance and collaboration across embedded systems, while ensuring quality and compliance.
Top Skills:
AlsaArm-Based ArchitectureCoverityEmbedded LinuxGstreamerJtagNat TraversalValgrindVoipWebrtc
Cloud • Information Technology • Security • Software • Cybersecurity
As a Sales Development Representative, you'll drive sales growth by qualifying leads, scheduling appointments, and maintaining CRM records within a hybrid work environment.
Top Skills:
CRMSalesforce
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
