Product Manager, IP Intelligence

Emploi pas sur LinkedIn

🕒 il y a 13 jours

🏄 California, Colorado, +14 états de plus – Distant

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🐎 Kentucky – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

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Envoy Air

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1998

📦 Logistique

✈️ Tourisme

🚗 Transport

Logistics • Travel • Transport

Envoy Air est une compagnie aérienne régionale qui fournit des services de transport aérien essentiels et opère comme une filiale détenue à 100 % par American Airlines Group. Avec un accent sur la sécurité et le service client, Envoy Air connecte de nombreuses destinations et joue un rôle crucial dans le soutien du réseau d'American Airlines à travers les États-Unis et dans le monde entier.

Description

• Own the multi-quarter roadmap and business case for Digital Envoy's core IP Intelligence and geolocation data products. • Translate market opportunities, customer needs, and the product team's vision into a prioritized roadmap engineering can execute against. • Create clear, specific product requirements, developed in partnership with engineering and GTM stakeholders. • Make the strategic trade-off calls (build vs. buy, depth vs. breadth, new capability vs. hardening) that shape where the product goes next. • Define pricing and packaging input for new capabilities in partnership with leadership and go-to-market teams. • Partner with Marketing to identify feature launch requirements and help build the right collateral. • Communicate and train stakeholders across Sales, Sales Engineering, Customer Success, and Tech Support on product capabilities. • Partner closely with engineering leads to translate roadmap priorities into well-scoped delivery, without owning day-to-day sprint mechanics yourself. • Partner with data science and data analytics to understand data quality constraints and fold them into the roadmap. • Represent the voice of the customer and the market, grounding every roadmap decision in evidence, not opinion. • Brief leadership regularly on strategy, roadmap progress, risks, and trade-offs, functioning as a trusted peer-level partner rather than a reporting layer. • Stay close to how customers use IP Intelligence and geolocation data, through support tickets, sales calls, competitive deep dives, and direct conversations. • Track competitive and market movement in IP Intelligence, geolocation, and adjacent data categories, and translate it into roadmap and positioning decisions. • Turn qualitative and quantitative signal into a roadmap that reflects real customer and business value, not just internal opinion. • Identify, define, and track the product metrics that matter (accuracy, coverage, adoption, revenue impact) in dashboards you build and own, and know which ones are moving and why. • Build reporting that shows leadership and stakeholders exactly where the product and its roadmap stand. • Hold a high bar for data quality and reproducibility, consistent with Digital Envoy's identity as a precision data company.

🎯 Exigences

• 10+ years in product management, with a track record of owning a product's strategy, roadmap, and business outcomes end-to-end at a senior or staff level. • Demonstrated experience as an individual-contributor product leader, comfortable operating at senior scope without direct reports. • Experience with data products, B2B SaaS, or infrastructure/API products; direct experience with IP Intelligence, geolocation, or network data is a strong plus. • Adept at working with AI-powered features and tools already in the product, understanding their capabilities and limits well enough to make sound roadmap and data decisions. • Fluency partnering with engineering on delivery, translating strategy into scoped, executable work. • Comfortable working with SQL, AI tools like Claude and reading data directly to make product decisions. • Working knowledge of how machine learning and LLM-based systems are trained, evaluated, and where they fail. • Familiarity with data quality frameworks and semantic data modeling as they apply to geospatial or network data. • Enough technical fluency to have a credible, detailed conversation with engineers about system design and trade-offs.

🏖️ Avantages

• Competitive Salary & Bonus program • Medical, Dental and Vision • Paid Holidays & Unlimited PTO policy • 401(k) with employer contribution match • We value your input: make a real impact in a growing company!