Account Executive, Expert Data Services
Job description
Account Executive, Expert Data Services at Office Hours.
About the role
Office Hours is building the foundational layer for the emerging knowledge economy, and this role is central to that mission in the Expert Data business. You will own the new revenue strategy for one of the most technically sophisticated offerings in the market, focused on serving the highest stakes use cases. The position requires you to act as both a strategic advisor and a trusted operator for the world's most advanced AI development teams. You will translate complex technical needs into clear business value and execute against ambitious financial targets with precision. This is a leadership position where your decisions directly influence the direction and quality of AI capabilities in critical sectors like medicine and biology. You will be part of a hyper-growth environment that rewards initiative, intellectual rigor, and consistent execution. Success in this role is defined by your ability to build long-term partnerships that drive durable, multi-year value for both the customer and the company.
Key facts
What you'll do
Hit and exceed quarterly TCV targets by owning the end-to-end pipeline and forecasting with accuracy in a fast-paced environment.
Acquire new logos by identifying qualified opportunities, executing a rigorous sales process, and converting trials or pilots into long-term strategic contracts that lay the groundwork for future expansion.
Drive expansion within existing accounts by analyzing published benchmarks, research papers, and strategic roadmaps to uncover new priority workstreams and convert them into additional engagements.
Build and maintain durable relationships with senior research, data, and post-training leaders at frontier AI labs and healthcare and pharmaceutical corporations.
Represent Office Hours as a definitive category leader in expert data for health and life sciences, emphasizing domain rigor and data quality to technical buyers.
Sell complex, multi-stakeholder deals that involve long sales cycles, aligning internal expertise with specific customer objectives to craft consultative solutions.
Leverage your network and outbound efforts to generate a robust pipeline, ensuring a steady flow of opportunities that meet or exceed quota.
Work alongside technical teams and AI lab experts to validate data requirements and demonstrate how the expert network directly advances model training and evaluation outcomes.
Convert complex technical and scientific concepts into clear business value propositions that justify large, multi-year commitments.
Own the entire revenue lifecycle for your book of business, from initial discovery through negotiation, closure, and post-sale expansion.
Requirements
3+ years of enterprise sales experience with a consistent record of meeting and exceeding quota in a complex B2B environment.
A proven ability to close large, multi-year contracts and systematically grow contract value over time through strategic upselling and cross-selling.
Comfort running complex, multi-stakeholder deals that feature long sales cycles and involve multiple decision makers across technical and executive levels.
A track record of generating your own pipeline through proactive outbound efforts, warm referrals, and strategic networking rather than relying solely on inbound leads.
Experience selling sophisticated technical solutions and collaborating effectively with technical team members to align on solutions that meet precise customer objectives.
You are persuasive, persistent, and ambitious, demonstrating a consistent hunger to tackle big challenges and overcome difficult objections.
A disciplined approach to forecasting and pipeline management, ensuring predictability and transparency in revenue performance.
Strong written and verbal communication skills capable of articulating nuanced concepts to senior stakeholders in a concise and compelling manner.
Nice to have
Selling into frontier AI labs, including research, data, or post-training teams, with an understanding of their unique procurement processes.
Familiarity with evaluations, benchmarks, and expert data training methodologies for AI model development companies.
Existing relationships with research or data leaders at frontier labs that can accelerate the sales cycle and increase win probability.
A deep passion for healthcare and scientific advancement, and how AI can augment human expertise to create measurable impact.
Practical notes
This is a hybrid role, requiring presence in our NYC or SF office 2-3 times per week.
Compensation is performance-based and includes a base salary, equity, and a comprehensive benefits package.
The pay range is explicitly defined as $275-350K OTE, calibrated for seniority and relevant domain expertise.
No specific travel or visa requirements are detailed in the source material, though the role supports remote work.