AlphaSenseposted 9 days ago
$180,000 - $219,000/Yr
Full-time • Senior
1,001-5,000 employees

About the position

At AlphaSense Enterprise Intelligence, we're building an entirely new layer of decision-making infrastructure. We’re looking for an innovative product leader to define the foundational capabilities that enable customers to maximize the value of their enterprise data. This Senior Product Manager will lead the vision and development of enterprise integration capabilities that transform how customers integrate their proprietary internal content into AlphaSense. You’ll define product strategy based on a deep understanding of enterprise workflows, our tech stack, and the competitive landscape. You’ll partner directly with our platform and AI/ML engineering teams to shape how customer content is parsed, transformed, and made semantically searchable at scale. We’re entering a phase of explosive enterprise adoption of GenAI. Organizations are hungry to activate their internal knowledge — and you’ll lead the product that makes that possible. This role reports to the Senior Director of Product, Enterprise Intelligence. You’ll have direct accountability for the enterprise integrations domain and partner closely with senior product leadership to set direction for the Enterprise Intelligence product line.

Responsibilities

  • Define and execute the strategy for bringing client internal content into AlphaSense, including expanding our suite of connectors, scaling our integrations platform, and bringing in new types of high-value content.
  • Be the driver for how proprietary customer data flows into AlphaSense — an initiative critical to unlocking GenAI value for our largest customers.
  • Work with Search, AI, and Enterprise Intelligence product and engineering teams to ensure the enterprise integrations roadmap enhances the value of AlphaSense’s core capabilities.
  • Be the voice of the customer and drive research efforts to deeply understand AlphaSense enterprise user needs and workflows, including regularly engaging with customers to gather feedback and insights.
  • Define measurable key results and performance indicators and leverage them to continuously improve our offerings and identify new bodies of work with the highest potential impact.
  • Lead the full product cycle from ideation to solution design, requirements definition, development and monitoring for product features.

Requirements

  • Understanding of the nuances and challenges of unstructured data and integrating complex content sets at scale.
  • Track record of building products that deliver value by helping customers make sense of data.
  • Ability to connect the dots between data architecture, AI capabilities, and user needs.
  • Understanding of modern cloud and security infrastructure.
  • Ability to define a roadmap to enable very large scale data integrations.
  • Ability to integrate internal data sources and define how that data becomes actionable through LLM-native interfaces, semantic search, and retrieval-augmented generation.
  • Strong curiosity about customer workflows and needs.

Nice-to-haves

  • Expertise in enterprise data storage solutions.
  • Experience in the financial services industry.

Benefits

  • Performance-based bonus
  • Equity
  • Generous benefits program
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