Head of Product, Alternative Data Suite

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🕒 il y a 4 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

✅ Responsable Produit

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Guideline

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2015

💸 Finance

☁️ SaaS

🤝 B2B

💰 €200 000 000 Series E - Guideline en 2021-06

Finance • SaaS • B2B

Guideline est un fournisseur de services de plan de retraite pour employeurs et une plateforme en ligne qui propose une administration automatisée des plans 401(k), des services de tenue de registres et des portefeuilles d'investissement guidés. Elle offre des services de conseil en investissement par l'intermédiaire de Guideline Investments, conseiller enregistré auprès de la SEC, et s'intègre étroitement aux systèmes de paie (notamment Gusto) pour automatiser les déductions, les contributions, la conformité et les rapports. L'entreprise cible les employeurs avec un portail SaaS en libre-service et des offres B2B pour simplifier les prestations de retraite pour les petites et moyennes entreprises.

Description

• Set the strategy and roadmap for the ALD suite — make the hard calls about what gets built, what gets deferred, and why. • Own the relationships with ALD's most important clients — hedge fund analysts, quant researchers, mutual fund PMs. Their workflows drive the roadmap; you're in the room to hear them. • Take new opportunities from concept to client-validated conviction — Engineering engages after the evidence is in, not before. • Hold the quality commitments that differentiate Guideline in the market — coverage consistency and forecast accuracy are product promises, and you're accountable for keeping them. • Define how ALD data reaches clients — through data cloud marketplaces, direct API, flat file, or integration — and own the experience and reliability of each channel. • Be the most informed voice in the building on the competitive landscape; know where Guideline wins, where it doesn't, and what product decisions change the calculus. • Work directly with the CPO on domain strategy; bring the ground-level client and market insight that makes those conversations worth having. • Build and deploy AI agents and skills as a routine part of the job.

🎯 Exigences

• 12–16 years in product management with real depth in ad intelligence, alternative data, or data-heavy B2B products. • Has owned a licensed data product that external clients build against — understands what it costs a buyer when delivery slips or data quality shifts. • Has held a portfolio strategy across multiple buyer types — different needs, different evaluation criteria, different definitions of success — and made it coherent. • Analytically sharp — can engage with data scientists and engineers on quality methodology, not just manage from a distance. • Connects domain decisions to P&L outcomes without being prompted — speaks the language of the business, not just the product, and represents the domain credibly in executive and commercial conversations. • Builds and deploys AI agents and skills as part of everyday work; a baseline at this level, not a differentiator.

🏖️ Avantages

• 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