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About the Role

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 for real-time use. This role focuses on leading research and product definition for emerging AP Intelligence capabilities, turning broad questions into structured hypotheses, research plans, and experiments.

Responsibilities

• Lead research into ambiguous product questions across event intelligence, structured news data, knowledge graphs, real-time information, and AI systems.
• 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.
• Work hands-on with AP datasets and product outputs, using tools such as SQL, Python, notebooks, LLMs, and lightweight prototypes to test ideas.
• Design benchmarks and evaluation methods for dimensions such as accuracy, timeliness, confidence, relevance, and usefulness.
• Identify patterns that can become scalable schemas, taxonomies, scoring systems, and product capabilities.
• Translate research into clear product concepts, requirements, and recommendations for engineering teams.
• Define how concepts such as event importance, impact, velocity, provenance, and confidence become useful AP Intelligence capabilities.
• Partner with engineering and applied AI teams to identify failure modes, improve product quality, and move promising ideas from prototype to production.
• Use evidence to recommend which ideas should advance, change, or stop and to inform AP Intelligence priorities.
• Work directly with prospective customers and design partners to understand workflows, test emerging concepts, and determine where AP Intelligence creates meaningful value.
• Assess whether a capability is technically possible, and whether customers will integrate it, rely on it, and pay for it.
• Partner closely with journalists, engineers, AI teams, commercial teams, and senior leaders.
• Synthesize editorial, technical, customer, and commercial perspectives into clear decisions and communicate complex ideas to technical and nontechnical audiences.

Requirements

• 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.
• Demonstrated 0→1 product ownership and judgment.
• Strong track record of taking ambiguous problems and independently turning them into structured questions, experiments, and product recommendations.
• Exceptional analytical and conceptual thinking, with an ability to find patterns in complex information and develop clear points of view from incomplete evidence.
• Strong technical and data fluency; comfortable exploring datasets, interrogating outputs, and building lightweight analyses or prototypes.
• Familiarity with structured or semi-structured data and areas such as APIs, taxonomies, ontologies, knowledge graphs, search, retrieval, or related information systems.
• Working knowledge of modern AI systems and concepts, including LLMs, RAG, embeddings, information retrieval, structured outputs, and model evaluation.
• Strong product and customer judgment, including the ability to distinguish an interesting research problem from a capability customers will use and value.
• 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 0→1 environments is especially relevant, but not required.

Skills

• Product Management
• Data Products
• AI/ML Products
• Applied Research
• Search/Information Systems
• SQL
• Python
• LLMs
• Knowledge Graphs
• APIs
• Taxonomies
• Ontologies
• Information Retrieval
• RAG
• Embeddings
• Structured Outputs
• Model Evaluation

Location

• New York, NY
• Remote (United States)

Work Type

• Full-time

Experience Level

• 6+ years of relevant professional experience
• 0→1 individual contributor role

Salary/Compensations

• $140,000–$185,000

Benefits

• Medical, dental, and vision coverage
• Retirement benefits
• Company-paid life insurance
• Paid vacation and sick days
• Paid parental leave
• Mental well-being resources

About the Company

• The Associated Press is an independent global news organization dedicated to factual reporting.
• Founded in 1846, AP is the most trusted source of fast, accurate, unbiased news in all formats and the essential provider of the technology and services vital to the news business.
• More than half the world's population sees AP journalism every day.
• 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.
• AP Intelligence sits at an unusual intersection of journalism, data infrastructure, artificial intelligence and real-world decision-making.
• AP has spent nearly 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.
• This is an opportunity to help define a new category of product for AP.

Equal Opportunity

• AP seeks to build an inclusive organization grounded in respect for differences. We support all aspects of diversity and provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, marital status, national origin, age, sexual orientation, gender identity, disability, status as a veteran, or other characteristic protected by law.