
1001 - 5000 Mitarbeiter
Gegründet 2011
🤖 Künstliche Intelligenz
💸 Finanzen
🏢 Unternehmen
💰 Debt Financing im 2022-06
Artificial Intelligence • Finance • Enterprise
AlphaSense ist eine Plattform für Marktanalysen und Suchfunktionen, die Unternehmen dabei unterstützt, entscheidende Einblicke in ein umfangreiches Universum öffentlicher und privater Inhalte zu gewinnen, darunter Unternehmensmeldungen, Broker-Research, Expertengespräche und Markttrends. Die KI-gesteuerte Technologie von AlphaSense ermöglicht es Nutzern, umfassende Due-Diligence-Prüfungen schnell und präzise durchzuführen, wodurch Unsicherheit und blinde Flecken in der Entscheidungsfindung reduziert werden. AlphaSense wird von großen Konzernen, Finanzinstituten und Vermögensverwaltungsgesellschaften weltweit vertraut und bietet generative KI-gestützte Lösungen, die interne, proprietäre Daten mit externen Premium-Inhalten integrieren und bedient Sektoren wie Finanzdienstleistungen, Gesundheitswesen und Technologie.
🕒 vor 10 Monaten
🗽 New York – Remote
💵 $131.000 - $160.000 / Jahr
⏰ Vollzeit
🟠 Senior
🔴 Experte
✅ Produktmanager
🦅 H1B-Visum-Sponsor
🗣️🇺🇸🇬🇧 Englisch erforderlich
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1001 - 5000 Mitarbeiter
Gegründet 2011
🤖 Künstliche Intelligenz
💸 Finanzen
🏢 Unternehmen
💰 Debt Financing im 2022-06
Artificial Intelligence • Finance • Enterprise
AlphaSense ist eine Plattform für Marktanalysen und Suchfunktionen, die Unternehmen dabei unterstützt, entscheidende Einblicke in ein umfangreiches Universum öffentlicher und privater Inhalte zu gewinnen, darunter Unternehmensmeldungen, Broker-Research, Expertengespräche und Markttrends. Die KI-gesteuerte Technologie von AlphaSense ermöglicht es Nutzern, umfassende Due-Diligence-Prüfungen schnell und präzise durchzuführen, wodurch Unsicherheit und blinde Flecken in der Entscheidungsfindung reduziert werden. AlphaSense wird von großen Konzernen, Finanzinstituten und Vermögensverwaltungsgesellschaften weltweit vertraut und bietet generative KI-gestützte Lösungen, die interne, proprietäre Daten mit externen Premium-Inhalten integrieren und bedient Sektoren wie Finanzdienstleistungen, Gesundheitswesen und Technologie.
•The role includes, but is not limited to, the following responsibilities •Understand the market and use cases of various AlphaSense user personas. Collaborate with Sales and Clients/Users to solicit feedback for new content and functionality or enhancement needs •Create and manage a content roadmap by working with the content organization leadership, engineering, and operations stakeholders to plan and optimize costs, benefits, timelines, and technology personpower mix for all aspects of content 3rd party sourcing or in-house generation •Take ownership of key projects to evaluate and integrate third party or self-source proprietary datasets and their related features from initial research and definition to testing, delivery, feedback, and on-going enhancements. •Lead the collaboration between content engineering and operations in designing the end-to-end data collection process including building and maintaining taxonomies and optimizing for the best mix of technology (speed, automation) and personpower (expert interpretation of reporting, exception handling), integrity checks, and QA process •Contribute to the successful launch of new features into the market, including the creation of internal and external comms/announcements, marketing collateral, documentation, training material, and client engagement. •Be the ultimate owner of content collection methodologies, rules and policies. Establish and maintain the balance between inbound expert user feedback on one hand, and process or technology/personpower limitations on the other •Track industry trends and deliver competitive intelligence to better evolve product and content vision. Analyze other relevant competing content sets in the market and interact with customers to understand their workflows and pain points and gather and document actionable feedback
•A minimum of 15 years of work experience at a leading financial institution or investment research platform firm as Product/Content Manager focused on the delivery of content, features, analytics, and models for front-office investment professionals •A minimum of 3 years of experience of managing or working closely with a sizable globally distributed content generation operation •Expert knowledge of various market data and investment research databases, products, and tools (e.g.: Fundamentals, Estimates, M&A Transactions data, Ownership data, Market data, Excel plug-in, XML feeds) •Demonstrated ability to lead a dedicated cross-functional development team of engineers, data experts, QA, scrum master •Thorough understanding of the logic and concepts of relational databases (eg: SQL); demonstrated experience using them is strongly preferred •BSc, MSc, or MBA degree with a concentration in finance or economics or a CFA certification •Demonstrated passion for corporate finance, capital markets, financial analysis, and modeling demonstrated either in previous capacity in a buy-side or sell-side analyst role or have managed products/features/data used by investment professionals •You have a natural enthusiasm for working at the intersection of data, technology, and finance •You thrive in a builder’s role - you have designed, built, launched and managed a marquee product, module, or functionality for the investment community or have set the foundation and successfully run an extensive content generation operation •You excel at aligning diverse, cross-functional teams through clear, persuasive communication and executive-level presentations •You demonstrate empathic communication, with the ability to listen and identify problems in need for solutions •You’re highly analytical, tech-savvy, and meticulous, with a strong ability to set priorities, manage deadlines, and deliver results •Material experience in the financial industry as a front office professional (e.g. research analyst or investment banker) leveraging platforms and and content similar to AlphaSense’s is preferred •Prior experience at a market intelligence or financial research SaaS start-up is preferred •Experience using iterative / agile development methodologies is preferred •Experience working with distributed teams is preferred
•You may also be offered a performance-based bonus •equity •a generous benefits program.
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