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Product Manager, Financial Data - Screening & Search

AlphaSense

Trabajo remoto

Ubicación
Remote (United States)
Retribución
USD 128000-160000 per annual
Jornada
Full Time
Publicado
17 oct 2026

Confirma que la oferta sigue abierta y revisa sus condiciones en el sitio web de la empresa antes de solicitar el puesto.

Descripción del puesto

La interfaz está en español. Los títulos y las descripciones de las empresas se mantienen en el idioma original de publicación, que puede ser inglés.

About AlphaSense: AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit . Come join us. About the Team: The Financial Data team at AlphaSense is responsible for delivering the data foundation that powers our industry-leading market intelligence platform. We focus on sourcing, integrating, and surfacing structured datasets that enable clients to discover and act on insights in new ways. Our team is dedicated to delivering these datasets directly into our clients' most critical workflows. About the Role: We are seeking a Product Manager to own and define how our financial data is surfaced through search and agentic capabilities across the AlphaSense platform. In this role, you'll sit at the intersection of our vast financial datasets and the systems that make that data discoverable, screenable, and actionable for end users and AI agents alike. You will be responsible for understanding how financial content is structured, indexed, and ranked so that it can be reliably surfaced through search, screening, and agentic workflows, defining the product experience that makes our data foundation a trusted input for both human analysts and AI-driven research. You'll partner closely with engineering, design, and business stakeholders to define requirements, author PRDs, and lead the development of new features. Who You Are: An experienced Product Manager with a minimum of 2 years of experience building SaaS products in partnership with engineering and scrum teams. Experienced in financial data products. A clear, persuasive communicator who creates PRDs, roadmaps, and requirements that align stakeholders and drive execution. Organized and detail-oriented, with a proven ability to manage a complex product backlog and deliver features end-to-end. A strategic thinker with a discovery mindset, deeply curious about client workflows and pain points, especially those of financial analysts, investment bankers, and corporate development/deal teams. A track record of owning roadmap and delivery in SaaS environments. Familiarity with AI-powered search or workflow technologies is a plus. Bachelor's degree in Computer Science, Business, or a related field required. What You’ll Do: Define and execute the short- and mid-term roadmaps for how financial data is surfaced through search, screening, and agentic capabilities, aligning with business objectives and client needs. Contribute to the long-term Financial Data vision by building a deep understanding of client personas (e.g., analysts, bankers, corporate development professionals) and how they search, screen, and query financial content, both directly and through AI agents. Continuously assess gaps in searchability, screening logic, and content structure, and prioritize improvements to how data is tagged, indexed, and ranked to close them. Write and prioritize product requirements (PRDs) informed by customer discovery and client feedback, specifically related to search relevance, screening functionality, and the retrievability of financial content by agentic systems. Collaborate with engineering, design, and GTM teams to ensure successful product launches and adoption of new search, screening, and agentic features. Partner with data platform and AI/ML teams to define how financial content should be structured and exposed so it can be effectively consumed by search infrastructure and agentic tools. Lead the development lifecycle for new search, screening, and agentic capabilities, from ideation and user stories through to launch and post-launch iteration. Identify and conduct QA strategies for search accuracy, screening precision, and the reliability of agentic retrieval over financial content. Work with core data platform teams to ensure seamless data delivery, indexing performance, and reliability for search, screening, and agentic use cases. For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered a performance-based bonus, equity, and a generous benefits program. Base Compensation Range $128,000—$160,000 USD AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination. In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works. Recruiting Scams and Fraud We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note: AlphaSense never asks candidates to pay for job applications, equipment, or training. All official communications will come from an @ email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us. Originally posted on Himalayas

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Elige ejemplos reales de tu experiencia que respondan a los requisitos del puesto. Explica tu aportación y utiliza cifras solo cuando puedas justificarlas. Sigue las instrucciones de la empresa y revisa los datos de contacto, el contenido y el PDF antes de enviar la candidatura.

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Preguntas sobre la búsqueda de empleo

¿Por qué algunas ofertas están en inglés?

Las empresas publican sus propios títulos y descripciones. Conservamos ese texto para no alterar requisitos o condiciones. La navegación y esta guía están en español. Si una búsqueda en español no encuentra ofertas, prueba también el título o la competencia en el idioma del anuncio, por ejemplo «software engineer».

¿Un puesto remoto permite trabajar desde cualquier país?

No necesariamente. La empresa puede limitar los países de residencia, exigir autorización para trabajar o fijar un horario. Comprueba estos puntos en la oferta original. Si no aparecen, consúltalos con la empresa antes de asumir que puedes trabajar desde tu ubicación.

¿Qué hago si no aparecen resultados?

Prueba un título más general o una sola competencia y elimina los filtros de uno en uno. Los nombres de los puestos varían entre empresas. Si una oferta concreta ha desaparecido, busca su referencia en la página de empleo de la empresa; ampliar los filtros no recupera una vacante cerrada.

¿La candidatura se envía desde ResumizeAI?

El botón de solicitud abre un destino externo. Sigue las instrucciones de la empresa o del proveedor de selección y confirma allí el envío. Preparar un currículum en ResumizeAI no equivale a presentar una candidatura. Si el enlace solo abre la web de la empresa, busca la vacante antes de continuar.

¿Cómo adapto el currículum y la carta de presentación?

Relaciona los requisitos con proyectos, tareas y resultados que puedas explicar. Destaca lo relevante sin inventar experiencia ni copiar competencias que no tienes. En la carta, explica tu interés y aporta un ejemplo concreto. Respeta el idioma y el formato pedidos y revisa ambos documentos antes de enviarlos.