--- title: 'Field Marketing Manager at DatologyAI' canonical: 'https://feeny.ai/job/field-marketing-manager-datologyai-san-mateo-ad9zeessarq8' type: 'job' last_seen: '2026-09-12' --- # Field Marketing Manager at DatologyAI - **Company:** DatologyAI - **Location:** San Mateo, CA - **Employment:** full-time - **Posted:** 2026-08-04 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.ashbyhq.com/datologyai/4d12d099-4999-480b-8d9d-62823deedc8c ## Job description ## About the Company Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy. At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling ([BeyondWeb](https://www.datologyai.com/blog/beyondweb)) and pretraining with domain-specific data ([The Finetuner’s Fallacy](https://www.datologyai.com/blog/finetuners-fallacy)). We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data. This role is based in San Mateo, CA. We are in office 4 days a week. ## About the Role We're hiring a Field Marketing Manager to own every event we run! Conferences, leadership's speaking engagements, executive dinners, dinners and events with our investors, webinars, and whatever comes next. This is a huge ownership role. You'll take an event from a line on the calendar to a flawless day-of experience: sourcing the venue, wrangling vendors, managing the budget, building the run of show, handling registration and logistics, and running the follow-up. We have a lot in flight, the playbook is being written, and we need someone who can bring order to it and be trusted to run with it! ## What You'll Work On - Conferences and field events. Own our presence end to end: booth, venue, swag, signage, vendors, shipping, staffing, lead capture, and post-event recaps. You handle the logistics so the team can focus on the people they're there to meet. - Leadership's speaking engagements. Source and secure the right speaking opportunities, manage submissions and confirmations, coordinate travel and prep, and run point on-site. - Executive dinners. Plan and run our executive dinners. Find and book the venue, build the guest list with sales and the founders, handle every logistic, execute the night, and drive the follow-up afterward. - Investor dinners and events. Partner with our investors to plan and run co-hosted dinners and events, coordinating across their teams and ours so these come together smoothly and reflect well on everyone involved. - Webinars. Own webinars end to end: platform and setup, run of show, speaker prep, registration, promotion in coordination with the content and social team, live production, and follow-up. - Vendors and budget. Source, negotiate with, and manage vendors, and own event budgets. - Cross-functional coordination. Keep sales, the founders, and leadership aligned on what's happening, when, and what's needed from them, with clear timelines and a single source of truth everyone can rely on. - Measurement and reporting. Track attendance, engagement, pipeline, and ROI across events, and report on what's working so we invest in the events that actually move the business. ## About You - 3–6 years of field marketing, event marketing, or event production experience, ideally at a B2B technical company such as developer tools, AI infrastructure, data infrastructure, or similar - A proven track record owning events end to end, from sourcing and logistics through day-of execution and follow-up, without needing to be managed through it - Early-stage startup experience; you know what it's like to build the playbook as you execute it - Exceptional project management and organization; you run multiple events in parallel with overlapping timelines and never drop a ball - Detail-oriented in a way that's load-bearing for everyone around you, because the details are what make an event feel effortless - Comfortable interacting directly with founders, executives, investors, and senior guests, with the polish and judgment those rooms require - Strong vendor management and negotiation skills, and comfort owning a budget - Willing to travel for events ## Nice to have - Experience running executive or investor dinners and other high-touch, small-format events - A network of venues, vendors, and event partners in the Bay Area and at major industry conferences - Familiarity with webinar and event platforms, registration tooling, and lead capture - Experience running events at a startup or as part of a small, fast-moving marketing team Don't meet every single requirement? We still encourage you to apply. If you're excited about our mission and eager to learn, we want to hear from you! ## Compensation At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The base salary range for this position is $170,000 to $230,000 - The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance. Benefits: - 100% covered health benefits (medical, vision, and dental). - 401(k) plan with a generous 4% company match. - Unlimited PTO policy - Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility. - Annual $2,000 wellness stipend. - Annual $1,000 learning and development stipend. - Daily lunches and snacks are provided in our office! - Relocation assistance for employees moving to the Bay Area. ## About DatologyAI ## Company Overview - **One-liner**: DatologyAI provides an automated platform that curates training data for deep learning models, helping companies train better AI models faster and more cost-effectively. - **Entity Type**: Private (Series A) - **Headquarters**: Redwood City, California, United States - **Founded**: 2023 - **Founders**: Ari Morcos (CEO), Bogdan Gaza (CTO), Matthew Leavitt ## Core Business - **Primary industry/industries**: Artificial intelligence, Machine learning infrastructure, Data curation - **Target customers**: B2B — Enterprises and AI teams training large-scale deep learning models across verticals - **Mission or purpose statement**: "Democratize AI data curation, allowing every company to easily train its own custom model on the right data without needing to invest massive resources." [datologyai.com](https://www.datologyai.com/about) ## Products & Services - **DatologyAI Platform**: A fully automated, scalable data curation platform that identifies redundant, noisy, or harmful data points in training datasets. It integrates with existing infrastructure (from blob storage to dataloader), is modality-agnostic (works for text, images, etc.), and requires no labels. The goal is to optimize training efficiency, maximize model performance, and reduce compute costs. [datologyai.com](https://www.datologyai.com/about) ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Total funding of $57.65M [cbinsights.com](https://www.cbinsights.com/company/datologyai) - **Notable Investors/Partners**: M12 (Microsoft’s venture fund), Amplify Partners, Amazon Alexa Fund [datologyai.com](https://www.datologyai.com/about) - **Growth Signals**: Founded in 2023 and already raised $57.65M (including a $46M Series A in 2024); backed by top-tier investors; founded by researchers with backgrounds at DeepMind, Meta AI (FAIR), and MosaicML (acquired by Databricks); cutting-edge research (80% novel and unpublished) directly powers the product. ## Competitive Advantages - **Research-driven product**: The platform is built on frontier research in data curation for deep learning, with the team publishing novel techniques at top conferences (NeurIPS, ICLR). - **Modality-agnostic & label-free**: Works across data types and doesn’t require labeled data, making it applicable to a wide range of use cases. - **Deep technical team**: Founders bring expertise from leading AI labs (DeepMind, Meta AI, MosaicML) and large-scale infrastructure experience (Amazon, Twitter). - **Customer-obsessed and scalable**: Designed to be easy to implement and generalize across models, directly reducing compute costs for customers. ## Strategic Focus - **Product & research**: Continue to push the boundaries of data curation research and deploy it directly into the product to improve model efficiency and capability. - **Customer success**: Deeply focus on customer problems and goals to drive adoption and success. - **Scaling the team**: Actively hiring across engineering, research, sales, and product roles to grow the organization. ## Why Work Here - **Impactful mission**: Solve the "biggest problem in AI model training" — data quality — with research that has real-world impact. - **World-class team**: Work alongside researchers and engineers from DeepMind, Meta AI, and MosaicML. - **Culture of research**: Engineering and research are deeply intertwined; ideas are deployed into production, not just published. - **In-office culture**: HQ in Redwood City, CA, with a strong in-office expectation ("In-Office" listed for all roles on Built In). [builtin.com](https://builtin.com/company/datologyai) - **Benefits**: 100% covered health benefits (medical, vision, dental), 401(k) with 4% match, unlimited PTO, $2,000 annual wellness stipend, $1,000 annual L&D stipend, daily lunch/snacks, dinner for late work, relocation assistance. [datologyai.com](https://www.datologyai.com/careers) - **Fast-paced, high-growth environment**: A chance to grow fast and make a significant impact at a well-funded startup. ## Sources 1. [DatologyAI About Page](https://www.datologyai.com/about) 2. [DatologyAI Careers Page](https://www.datologyai.com/careers) 3. [Built In Company Profile](https://builtin.com/company/datologyai) 4. [CB Insights Company Profile](https://www.cbinsights.com/company/datologyai) 5. [LinkedIn Company Page](https://www.linkedin.com/company/datologyai) ## Other roles at DatologyAI - [Product Designer](https://feeny.ai/job/product-designer-datologyai-san-mateo-wkhnwrcrj4j0) — San Mateo, CA - [AI Developer Experience & Media Lead](https://feeny.ai/job/ai-developer-experience-media-lead-datologyai-san-mateo-pf7jfn1t6ad9) — San Mateo, CA - [Content Marketing Manager](https://feeny.ai/job/content-marketing-manager-datologyai-san-mateo-knnrrtw00qdj) — San Mateo, CA - [Research Engineer](https://feeny.ai/job/research-engineer-datologyai-san-mateo-5cps4zyfezck) — San Mateo, CA - [Forward Deployed AI Engineer (Post-Sales)](https://feeny.ai/job/forward-deployed-ai-engineer-post-sales-datologyai-san-mateo-exyc2z5wjfcx) — San Mateo, CA - [Research Scientist](https://feeny.ai/job/research-scientist-datologyai-san-mateo-01jmy0y7mzym) — San Mateo, CA - [Product Manager](https://feeny.ai/job/product-manager-datologyai-san-mateo-f6ef705z2p47) — San Mateo, CA - [Software Engineer, Front-end](https://feeny.ai/job/software-engineer-front-end-datologyai-san-mateo-r9gh13jqy1rt) — San Mateo, CA - [Software Engineer, Cloud Infrastructure](https://feeny.ai/job/software-engineer-cloud-infrastructure-datologyai-san-mateo-48ybp4z0yc7x) — San Mateo, CA - [Solutions Engineer (AI/ML, Pre-Sales)](https://feeny.ai/job/solutions-engineer-ai-ml-pre-sales-datologyai-san-mateo-8nw2w7atdymv) — San Mateo, CA