DatologyAI — AI Developer Experience & Media Lead

DatologyAI — AI Developer Experience & Media Lead Type: Full-time | Hybrid (in-office 4 days/week) | Redwood City, CA Compensation: $160K–$230K base + competitive equity Hiring count: 1 Visa sponsorship: Open to visa transfers (e.g. OPT, H1B transfers). Intake call also referenced visa sponsorship as available. Reports to: Sama Iqbal, Hiring Manager About DatologyAI DatologyAI is building the future of AI training data. Its core insight is that models are what they eat: a large share of training compute is wasted on data that is already learned, irrelevant, or harmful, which produces worse models that cost more to train and deploy. The company has built a state-of-the-art data curation suite that automatically curates and optimizes petabytes of data into the best possible training set for deep learning models. The algorithms are modality-agnostic and require no labels, making them suited to powering the next generation of large-scale AI models. Reported results include 7x to 40x faster training, performance as if trained on more than 10x the raw data at no extra cost, and smaller models with fewer than half the parameters outperforming larger ones. Founded: 2023 | Team size: see note below | Total funding: $57.5M (Seed + Series A) Industry: AI, Data, Enterprise Website: www.datologyai.com Office: Redwood City, California Investors: Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, plus Geoff Hinton, Yann LeCun, and Jeff Dean Source note (team size): the page reports headcount inconsistently. The company sidebar lists 43 employees, the role highlights say ~51 people, and the About section says ~54 scaling to 80–90 by year-end. Engineering is ~20 people on a flat structure. Why Candidates Should Join Be the voice of a company changing AI training: 7x to 40x faster training and smaller models that outperform larger ones, backed by $57.5M and by AI figures including Hinton, LeCun, and Dean. Genuinely compelling material to work with daily. Own the entire media and developer experience function from scratch: a greenfield role with no legacy process or bureaucracy, building the playbook while operating it. Early-stage equity at an inflection point: joining while brand and community presence compound most, as the team scales toward 80–90 by year-end against a strong customer pipeline. Competitive comp: $160K–$230K base plus significant equity, 100% covered health benefits, 4% 401(k) match, unlimited PTO, $2K wellness stipend, $1K L&D stipend, daily lunches, and relocation assistance if needed. Work alongside world-class researchers and engineers: direct access to the people doing the work, making the storytelling authentic and technically grounded. Built-in community credibility: the AI community already follows the company's investors and research, so the role amplifies existing signal rather than starting from zero. Intake Call Summary Role centers on running the company's X (Twitter) presence and publishing content on behalf of DatologyAI. Responsibilities include turning research papers into content and engaging directly with a technical audience. Candidate must have a strong personal X presence: at least 1,000 followers and a technical audience. Background should be in engineering, research, or development; AI-native with real technical prowess. Strong writing skills to rewrite and process content; comfort with AI tools is important. The founder prioritizes a strong X presence as a growth lever for the company. Compensation is $160K–$230K with flexibility based on fit; visa sponsorship and relocation assistance are available. This is a priority hire for the next few weeks. Interview process: initial call, Head of Marketing, take-home assignment, on-site meeting. Pain point: difficulty finding candidates who meet both the technical bar and the social-media-presence bar, and who align with the founder's vision for X engagement. Ideal candidate is dependable, quick, and adaptable to working closely with the founder; startup experience or strong startup adaptability preferred. Source note (location): the intake transcript states the company is "moving to San Mateo," while the role requirements, role details, and About section all list Redwood City, CA. Treating Redwood City as authoritative; flag for confirmation before it reaches candidate-facing copy. The Role DatologyAI needs someone with deep technical legitimacy in AI/ML who is genuinely X-native and can turn cutting-edge research into narratives, demos, threads, and videos that resonate with a technical audience. The role sits at the intersection of engineering and media, and rewards a track record of building recognizable voices and driving organic engagement in the AI community. A personal audience on X or experience at an AI model or infrastructure company is a bonus. What You'll Be Doing Turn DatologyAI's research and product work into technical storytelling: threads, demos, videos, and launches that a technical audience finds genuinely interesting. Build and run a recognizable, native voice for DatologyAI on X day-to-day, including replying, quote-posting, and joining live conversations in real time. Help founders and researchers show up in their own voices by drafting and enabling their social presence authentically. Own end-to-end research launches across X, the technical blog, and video, from angle and assets through sequencing and follow-through. Build real relationships with researchers, open-source developers, AI creators, and technical founders in the community. Bring community feedback back to the product and research teams to inform what gets built and communicated next. Run experiments across formats and channels, track what earns attention and trust from the right people, and use data to sharpen strategy. Tech stack: X (Twitter), Video Production, AI/ML, Python, Technical Writing, Content Strategy, Social Media Analytics Qualifications Seniority 2–7 years of experience in technical content, developer marketing, or DevRel in AI/ML [Required] Work Experience IMPORTANT: Active personal X (Twitter) account with 1,000+ followers and a technical audience [Must have] Experience creating content for social media platforms, on technical concepts [Must have] Education CS, ML, or technical degree, or equivalent self-taught depth [Strongly preferred] Hard Skills Proficient building technical demos (code, notebooks, video) [Must have] Strong short-form technical writing (threads, posts, blogs) [Must have] Miscellaneous Willing to work in the Redwood City office 4 days/week [Must have] Traits to Avoid None specified on the role page. (See the Non-ideal companies list under Ideal Companies & Backgrounds for sourcing exclusions.) Role Details Salary$160K–$230KEquityCompetitiveOn-site policyHybrid, in office 4 days/week in Redwood City, CAVisa sponsorshipOpen to visa transfers (e.g. OPT, H1B transfers)Employment typeFull-timeLocationRedwood City, CA Screening Questions What's your X (Twitter) handle? We'd like to review your posting style and engagement patterns. Describe a time you took a technical AI research result and turned it into content (thread, demo, video, etc.) that resonated with a technical audience. What was the result and how did it perform? Can you be on-site? If not, are you willing to relocate? What is your salary expectation? How actively are you exploring new opportunities? Interview Process Stage 1 — Submit candidate After submission, you're notified if the hiring manager wants to proceed. Stage 2 — First Chat (30 minutes) Initial conversation with Sama to assess basic fit, review the candidate's X presence and posting history, confirm location and in-office requirements, discuss compensation expectations, and evaluate overall alignment. This is the first gate. Stage 3 — Head of Marketing Interview (45 minutes) Conversation with Dan, Head of Marketing, on content strategy thinking, experience creating technical content for social platforms, audience building, and overall marketing acumen. Dan assesses team fit and ability to execute on content initiatives. Stage 4 — Take-Home Exercise (1 hour) An async creative/content exercise, likely turning a DatologyAI research paper into an X thread, demo, or video concept, to evaluate technical storytelling, writing quality, creator instincts, and grasp of the AI/ML space. Stage 5 — Founder Conversation (30 minutes) A short conversation with Ari (co-founder) on cultural fit, working style, and ability to collaborate closely with a founder day-to-day. Stage 6 — On-Site Team Meet (1 hour) On-site meeting with other teams to evaluate cultural fit and cross-functional collaboration, and to give the candidate a feel for the office. Stage 7 — Offer Extended Stage 8 — Candidate Hired Ideal Companies & Backgrounds Updated Aug 17, 2026 AI model and infrastructure companies (developer relations, marketing, and communications teams) OpenAI, Anthropic, Hugging Face, Cohere, Stability AI, Together AI, Replicated, Modal Labs, Anyscale AI-focused developer tools and platforms with strong technical content and community presence Weights & Biases, LangChain, Vercel, Replit, Cursor, Supabase, Pinecone, Weaviate, Scale AI, Databricks AI-native content creators, developer advocates, and technical media professionals from high-growth startups Fireworks AI, Perplexity, Runway, Midjourney, ElevenLabs, Deepgram, AssemblyAI, Sourcegraph, Linear Technology, Notion Non-ideal companies (avoid sourcing) — Traditional media, PR agencies, and non-technical marketing firms Edelman, Weber Shandwick, FleishmanHillard, Ogilvy, WPP, Publicis Sapient, dentsu, Omnicom Media, Havas Creative Network, BCW Global Company lists confirmed complete as of Aug 20, 2026. Ideal Candidate Profiles For reference only — do not source these specific profiles. Sarah Chieng — LinkedIn Content & media at Cerebras | San Francisco, United States | sarahchieng.com Currently creating strong content and media for Cerebras on X: sit-down conversations, podcasts, and engaging technical content. Strong personal X following. Comes from a great school, has co-founder experience, and previously worked at Exa (an AI startup). Very technical; uses AI to create content and build things. Described as the "ideal ideal" profile, a tier above Ryan, and a "superstar in this space." Dan reached out the week prior. Would be very difficult to recruit given her current position. Ryan Biddy — LinkedIn Senior Social Media Manager, Weights & Biases by CoreWeave. ex-OpenAI, Brex, AWS | San Francisco Bay Area Strong X profile posting on LLMs, research, and engineering, aligned to what DatologyAI needs. Technical background; audience of ML researchers and practitioners, many of whom are DatologyAI researchers. Among the first results in LinkedIn searches for this type of role. Technical degree and strong job experience. Already sourced by the internal team via LinkedIn (not Paraform) and progressing to on-site.