Head of Product, Alternative Data Suite

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🕒 vor 10 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🔴 Experte

✅ Produktmanager

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Guideline

Guideline

201 - 500 Mitarbeiter

Gegründet 2015

💸 Finanzen

☁️ SaaS

🤝 B2B

💰 €200.000.000 Series E - Guideline im 2021-06

Finance • SaaS • B2B

Guideline ist ein Anbieter von betrieblichen Altersvorsorgediensten und einer Online-Plattform, die eine automatisierte Verwaltung von 401(k)-Plänen, Buchhaltung und geführte Anlageportfolios bietet. Es bietet Anlageberatungsdienste über Guideline Investments, ein bei der SEC registrierter Berater, an und integriert sich nahtlos mit Gehaltssystemen (insbesondere Gusto), um Abzüge, Beiträge, Compliance und Berichterstattung zu automatisieren. Das Unternehmen richtet sich an Arbeitgeber mit einem Self-Service-SaaS-Portal und B2B-Angeboten, um Altersleistungen für kleine und mittelständische Unternehmen zu vereinfachen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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

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