Senior Product Manager, Data Platform & Intelligence
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Data Platform & Intelligence based in United States.
This role offers the opportunity to shape the data foundation and intelligence products powering next-generation AI experiences.
You will own the strategy and execution of critical data platforms, insights, and AI-driven capabilities that create measurable customer value.
Working at the intersection of product, engineering, data science, and AI, you will define how complex data becomes actionable intelligence.
You will influence the future of intelligent enterprise solutions by building scalable systems, meaningful signals, and customer-facing innovations.
This is a high-impact senior product leadership role for someone passionate about transforming data into competitive advantage.
You will help establish the foundation that enables AI products to deliver reliable, trusted, and valuable outcomes at scale.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Data Platform & Intelligence based in United States.
This role offers the opportunity to shape the data foundation and intelligence products powering next-generation AI experiences.
You will own the strategy and execution of critical data platforms, insights, and AI-driven capabilities that create measurable customer value.
Working at the intersection of product, engineering, data science, and AI, you will define how complex data becomes actionable intelligence.
You will influence the future of intelligent enterprise solutions by building scalable systems, meaningful signals, and customer-facing innovations.
This is a high-impact senior product leadership role for someone passionate about transforming data into competitive advantage.
You will help establish the foundation that enables AI products to deliver reliable, trusted, and valuable outcomes at scale.
Accountabilities:
- Own the end-to-end product strategy and roadmap for data platform capabilities and intelligence products.
- Define and launch intelligence solutions, including signals, scores, insights, and recommendations that create measurable value.
- Shape how data is structured, enriched, and delivered to AI systems to ensure accurate and effective outcomes.
- Partner closely with AI engineering, data science, product, and platform teams to drive execution and manage dependencies.
- Build data applications that support product use cases, analytics, AI agents, and operational decision-making.
- Establish success metrics for data products, including adoption, quality, coverage, performance, and customer impact.
- Make strategic decisions around data freshness, reliability, scalability, cost, and governance.
- Evaluate build-versus-buy opportunities and guide integrations with external data technologies.
- Define best practices for data quality, lifecycle management, and responsible AI enablement.
- Stay current with advances in AI, retrieval systems, grounding techniques, and context-driven applications to inform product strategy.
- Communicate complex technical concepts clearly across engineering, product, leadership, and business teams.
- 5+ years of product management experience, with significant experience in data platforms, AI infrastructure, analytics products, or intelligence solutions.
- Proven experience delivering AI-powered or data-driven products in SaaS, enterprise software, or technology environments.
- Strong technical fluency with the ability to collaborate effectively with data engineers, machine learning teams, and software architects.
- Experience working with data lake, data warehouse, or analytics platforms such as Snowflake, BigQuery, Redshift, or similar technologies.
- Understanding of data modeling, pipeline architecture, schema evolution, and large-scale data consumption.
- Experience building intelligence products such as recommendations, scoring systems, insights, or predictive capabilities.
- Familiarity with evaluating AI systems and measuring the effectiveness of data and context pipelines.
- Experience operating in environments where data governance, security, compliance, and scalability are critical.
- Strong ownership mindset with the ability to manage priorities, resolve ambiguity, and drive cross-functional execution.
- Ability to make thoughtful tradeoffs between data quality, latency, cost, and reliability.
- Excellent communication skills with the ability to translate technical concepts into clear product strategies.
- Customer-focused and outcome-oriented approach to product development.
- Remote-first work environment.
- Competitive salary range of $139,000 - $200,000 plus bonus and equity opportunities.
- Medical, dental, and vision insurance with multiple plan options.
- Fertility assistance benefits.
- 401(k) retirement plan with company match up to 4%.
- Stock options for employees.
- Flexible paid time off policy.
- 16 paid U.S. holidays, including a winter break.
- Paid family leave and paid medical leave programs.
- Mental health and wellness support programs.
- Wellness subsidy for fitness memberships and activities.
- Professional growth opportunities and a culture focused on innovation and learning.
- Opportunity to work on impactful AI and data products shaping the future of enterprise technology.
As Senior Product Manager, Data Platform & Intelligence, you will own the roadmap, prioritization, and execution of data platform capabilities and intelligence products. You will partner with technical and business teams to transform complex data ecosystems into scalable solutions that improve AI performance, customer outcomes, and business decision-making.
Requirements:
The ideal candidate is a senior product leader with strong technical understanding of data platforms, AI systems, and enterprise software. You should have experience building products powered by data and intelligence while balancing customer value, technical complexity, and business priorities.