AlphaSense is a market intelligence company that leverages AI to provide insights from various content. They are seeking a Senior Product Manager to lead the Expert Research team, focusing on enhancing AI-driven solutions for market intelligence and user experience.
Responsibilities:
- Represent the customer: Act as the voice of the buyside customer and run regular user sessions to shape and execute AI product strategies that directly address user needs and business goals
- Collaborate across teams: Work side-by-side with engineering, design, and product marketing to build, launch, and optimize innovative AI-first solutions tailored to our customers. Collaborate with PMs across AlphaSense to ensure insights are built as a composable, system-wide capability
- Identify opportunities: Analyze market trends, emerging AI capabilities, and competitor moves to identify where we can leap ahead. Define and maintain a clear, prioritized roadmap with conviction about what we are building and why
- Execute and deliver: Lead the end-to-end product development lifecycle, from ideation and experimentation through to launch, post-launch analysis, and iteration. Relentlessly push for better accuracy and speed. You will constantly test our tools against real-world investment scenarios to ensure reliability
Requirements:
- Act as the voice of the buyside customer and run regular user sessions to shape and execute AI product strategies that directly address user needs and business goals
- Work side-by-side with engineering, design, and product marketing to build, launch, and optimize innovative AI-first solutions tailored to our customers
- Collaborate with PMs across AlphaSense to ensure insights are built as a composable, system-wide capability
- Analyze market trends, emerging AI capabilities, and competitor moves to identify where we can leap ahead
- Define and maintain a clear, prioritized roadmap with conviction about what we are building and why
- Lead the end-to-end product development lifecycle, from ideation and experimentation through to launch, post-launch analysis, and iteration
- Relentlessly push for better accuracy and speed
- You will constantly test our tools against real-world investment scenarios to ensure reliability
- You understand how investors build conviction, where their information gaps are, and what makes information actionable versus noise
- You have hands-on experience leveraging LLMs, ML models, and AI pipelines to solve complex data and workflow problems
- You understand the difference between retrieval, synthesis, and interpretation and you have strong opinions about where AI adds value and where it doesn't
- You're comfortable with data analysis and SQL, can evaluate quality in AI-generated outputs, design experiments, and build the measurement frameworks needed to know whether something is working
- You can articulate a product strategy and its tradeoffs in a way that earns alignment from engineering, design, and executive stakeholders
- You write clearly
- You can represent complex technical or strategic concepts simply without losing precision
- You can adjust and iterate quickly, proactively addressing challenges and mitigating risks to ensure project success in a fast-paced environment
- Direct experience as a buyside investor or building products for this persona is a strong plus