Job Overview
Location
Massachusetts, US - Remote
Job Type
Full-time
Category
Product Marketing Manager
Date Posted
May 17, 2026
Full Job Description
đź“‹ Description
- • Lead the public narrative and market positioning for DataRobot’s Agentic AI Platform, serving as the primary thought leader and evangelist to shape industry perception and drive category creation.
- • Evangelize the Agentic AI story through live and online events, engaging with industry thought leaders to validate and grow the Agentic AI category in front of technical and executive audiences.
- • Build and execute a multi-channel awareness strategy across media, social platforms (including Reddit, HackerNews, CIO.com, and Discord), and developer communities to inspire AI developers, data scientists, and AI operators.
- • Uncover, curate, and broadcast real-world customer success stories that highlight both the technical architecture and transformative business impact of Agentic AI, demonstrating clear value to C-level executives like CDOs and CIOs.
- • Create high-impact, product-centric content including live demos, executive presentations, articles, videos, and other assets that translate complex AI capabilities into compelling, accessible narratives.
- • Collaborate with strategic partners such as NVIDIA, SAP, and Dell to co-develop and deliver joint content, webinars, podcasts, and live sessions that reinforce a "better together" narrative for technical and business buyers.
- • Go beyond standard marketing playbooks by using creative intuition to identify unique opportunities that differentiate DataRobot’s brand in a crowded AI market.
- • Engage directly with AI practitioners and leadership teams to deeply understand their needs around adoption, governance, and deployment of agentic systems, and translate those insights into resonant messaging.
- • Drive strategic partnerships and joint initiatives that amplify market reach and credibility, aligning with partner ecosystems to extend the reach of Agentic AI storytelling.
- • Work autonomously in a fast-paced, startup-like environment to quickly create, test, and iterate on content and campaigns with minimal guidance while maintaining high-quality output.
- • Represent DataRobot at key industry conferences, user groups, and technical forums as the authoritative voice on Agentic AI, building trust and credibility with both technical and executive audiences.
- • Maintain a strong, authentic presence across digital channels, actively participating in online communities to foster dialogue, answer questions, and showcase real use cases of DataRobot’s platform in action.
🎯 Requirements
- • Minimum 5-7 years of experience in the data and analytics space
- • Demonstrated experience with enterprise platforms or technical B2B software
- • Technical fluency with LLMs, generative AI, or agent frameworks (bonus)
- • Proven ability to translate complex technical capabilities into clear, motivating market narratives for both technical and executive audiences
- • Strong creative intuition and ability to devise innovative strategies to capture attention in crowded markets
- • Excellent communication and presentation skills, with comfort speaking publicly and partnering with industry leaders
🏖️ Benefits
- • Medical, Dental & Vision Insurance
- • Flexible Time Off Program
- • Paid Holidays
- • Paid Parental Leave
- • Global Employee Assistance Program (EAP)
- • Annual compensation range of $210,000 to $265,000 USD/year (base salary)
Skills & Technologies
About DataRobot, Inc.
DataRobot provides an enterprise AI platform that automates the end-to-end process for building, deploying, and managing machine-learning models at scale. Founded in 2012, the company serves industries including finance, healthcare, retail, and manufacturing, enabling data scientists and business analysts to create predictive analytics without deep coding expertise. The platform integrates with existing data infrastructure, offers governance and monitoring tools, and supports on-premise, cloud, and hybrid deployments. DataRobot emphasizes responsible AI practices and model interpretability to help organizations operationalize artificial intelligence while maintaining compliance and transparency.
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