Research Product Manager AP Intelligence

About AP Intelligence

The Associated Press is an independent global news organization dedicated to factual, accurate and nonpartisan reporting.

AP Intelligence is building a new intelligence layer on top of AP's global reporting-transforming verified journalism into structured facts, events, entities, relationships and signals that machines and people can use in real time.

By combining AP's firsthand reporting, editorial standards, historical depth and global reach with modern data and AI infrastructure, AP Intelligence creates machine-readable intelligence that can be integrated into models,applications and decision systems.

We are expanding the product team responsible fordetermining what intelligence can be derived from AP reporting, how we know it is useful and reliable, and which capabilities should become scalable products.

The Role

We are seeking an intellectually curious, highly analytical Research Product Manager to lead research and product definition for emerging AP Intelligence capabilities. This is a 01 individual contributor role. Much of the work begins before there is a roadmap-and sometimes before the precise product problem is fully understood.

You will turn broad questions into structured hypotheses, researchplans and experiments; investigate them using data, customer conversations and lightweight prototypes; and translate what you learn into clear product decisions and requirements.

Here, "research" means structured product investigation: framing unanswered questions, working directly with data and product outputs, testing hypotheses, evaluating results and learning from customers.

This is not a traditional feature-delivery PM role. You will help discover the problems, define theproducts and establish the frameworks that allow engineering teams to build them.

The role does not have direct reports at theoutset, but offers significant ownership and visibility. As AP Intelligence grows, its scope may expand based on business needs and the individual's strengths and interests, including deeper product leadership, domain ownership or people leadership.

WhatYou'll Do

Research, Prototype & Evaluate

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  Lead research into ambiguous product questions across event intelligence, structured news data, knowledge graphs, real-time information and AI systems.

  
  

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  Turn questions such as "What makes an event important?" or "How should we measure whether a signal is reliable and useful?" into hypotheses, experiments and evaluation frameworks.

  
  

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  Work hands-on with AP datasets and product outputs, using tools such as SQL, Python, notebooks, LLMs and lightweight prototypes to test ideas.

  
  

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  Design benchmarks and evaluation methods for dimensions such as accuracy, timeliness, confidence, relevance and usefulness.

  
  

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  Identify patterns that can become scalable schemas, taxonomies, scoring systems and product capabilities.

  
  

Define Products & Influence the Roadmap

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  Translate research into clear product concepts, requirements and recommendations engineering teams can build.

  
  

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  Define how concepts such as event importance, impact, velocity, provenance and confidence become useful AP Intelligence capabilities.

  
  

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  Partner with engineering and applied AI teams to identify failure modes, improve product quality and move promising ideas from prototype to production.

  
  

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  Use evidence to recommend which ideas should advance, change or stop and to inform AP Intelligence priorities.

  
  

Learn With Customers & Lead Across Disciplines

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  Work directly with prospective customers and design partners to understand workflows, test emerging concepts and determine where AP Intelligence creates meaningful value.

  
  

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  Assess not only whether a capability is technically possible, but whether customers will integrate it, rely on it and pay for it.

  
  

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  Partner closely with journalists, engineers, AI teams, commercial teams and senior leaders.

  
  

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  Synthesize editorial, technical, customer and commercial perspectives into clear decisions and communicate complex ideas to technical and nontechnical audiences.

  
  

Who You Are

We expect strong candidates to bring many, but not necessarily all, of the following:

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  6+ years of relevant professional experience, including significant experience in product management, data products, AI/ML products, applied research, search/information systems or another highly analytical product environment. We care more about demonstrated 01 product ownership and judgment than a conventional career path.

  
  

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  A strong track record of taking ambiguous problems and independently turning them into structured questions, experiments and product recommendations.

  
  

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  Exceptional analytical and conceptual thinking, with an ability to find patterns in complex information and develop clear points of view from incomplete evidence.

  
  

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  Strong technical and data fluency. You do not need to be a production engineer, but should be comfortable exploring datasets, interrogating outputs and building lightweight analyses or prototypes.

  
  

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  Familiarity with structured or semi-structured data and areas such as APIs, taxonomies, ontologies, knowledge graphs, search, retrieval or related information systems.

  
  

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  Working knowledge of modern AI systems and concepts, including LLMs, RAG, embeddings, information retrieval, structured outputs and model evaluation.

  
  

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  Strong product and customer judgment, including the ability to distinguish an interesting research problem from a capability customers will use and value.

  
  

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  Excellent written and verbal communication skills and comfort working across engineering, AI, journalism, commercial teams and senior leadership.

  
  

Experience with AI/ML products, knowledge graphs, search/retrieval, real-time or event-driven data, intelligence platforms, AI evaluation, financial/risk/geopolitical information products, or early-stage 01 environmentsis especially relevant, but not required.

What Success Looks Like

In your first year, you will have:

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  Turned important unanswered AP Intelligence questions into rigorous product investigations and clear recommendations.

  
  

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  Established benchmarks and evaluation frameworks for emerging capabilities.

  
  

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  Helped define and validate new event, signal and intelligence capabilities from research through product definition.

  
  

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  Influenced the AP Intelligence roadmap through evidence from data, customers and experimentation.

  
  

Why This Role

AP Intelligence sits at an unusual intersection of journalism, data infrastructure, artificial intelligence and real-world decision-making.

AP has spentnearly two centuries building a global system for determining what happened, verifying it and communicating it accurately. AP Intelligence is exploring what becomes possible when that same reporting is structured for machines.

For someone who enjoys ambiguous problems, data, emergingtechnology and building new products, this is an opportunity to help define a new category of product for AP.

Location, Salary & Benefits

This role may be based in New York, NY or remotely within the United States.

Theanticipated salary range is $140,000-$185,000, based on a candidate's skills, qualifications and location.

The Associated Press offers comprehensive benefits, including medical, dental and vision coverage; retirement benefits; company-paid life insurance; paid vacation and sick days; paid parental leave; and mental well-being resources.