Head of Product, Alternative Data Suite

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop the strategy and roadmap for the ALD suite — make critical decisions regarding what features to prioritize, what to postpone, and the rationale behind those choices.

• Cultivate relationships with ALD's key clients — hedge fund analysts, quantitative researchers, and mutual fund portfolio managers. Their workflows shape the roadmap, and your presence allows you to understand their needs firsthand.

• Transform new opportunities from conceptualization to client-validated assurance — Engineering gets involved only after validating the evidence.

• Uphold the quality commitments that set Guideline apart in the industry — ensuring consistency in coverage and accuracy in forecasts are product promises, and you're responsible for maintaining them.

• Determine how ALD data is delivered to clients — whether through data cloud marketplaces, direct APIs, flat files, or integrations — and manage the reliability and experience of each delivery channel.

• Be the most knowledgeable individual in the organization regarding the competitive landscape; understand Guideline's advantages and disadvantages, and how product decisions can affect the competitive balance.

• Collaborate closely with the CPO on domain strategy; provide ground-level client and market insights that enrich those discussions.

• Regularly build and implement AI agents and skills as a standard aspect of the role.

⛳️ Requirements

• 12–16 years of experience in product management with substantial expertise in ad intelligence, alternative data, or data-intensive B2B products.

• Has managed a licensed data product that external clients utilize — understands the implications for buyers when delivery delays or data quality issues arise.

• Has developed a portfolio strategy catering to various buyer types — recognizing differing needs, evaluation criteria, and success definitions — and has ensured coherence across them.

• Possesses strong analytical skills — able to engage with data scientists and engineers on quality methodologies, rather than merely overseeing from a distance.

• Relates domain decisions to P&L outcomes without needing prompts — communicates in the language of business, not just product, and credibly represents the domain in discussions with executives and commercial teams.

• Regularly builds and deploys AI agents and skills as part of routine responsibilities; this is expected at this level, rather than being seen as a special distinction.

🏝️ Benefits

• Medical, Dental, Vision, Health Savings Account, Flexible Spending Account

• STD, Life, LTD and AD&D

• 401(k) with a company match program

• Unlimited Paid Time Off (PTO)

• Paid Parental Leave

• Commuter Benefits

• Employee Recognition Program

• Referral Bonus Program