Heritage Auctions

Oct 28, 2026

Search & AI Discovery Architect

United States

Irving, Texas, United States

JavaScript

Description

Build your career with Heritage Auctions, the world’s largest collectibles auctioneer.

Celebrating its 50th anniversary in 2026, Heritage Auctions has spent five decades connecting collectors with extraordinary objects and the stories behind them. Headquartered in Dallas, Texas, with offices across the United States and around the world, Heritage serves more than 50 auction categories, including Coins, Sports, Comics, Entertainment, Historical, Jewelry, Fine and Decorative Art, Luxury Accessories, Wine, and many more. Join a collaborative, fast-paced company where curiosity is valued, expertise is celebrated, and every day offers an opportunity to work with remarkable pieces of history and culture.

SUMMARY

Heritage Auctions is seeking a Search & AI Discovery Architect to make Heritage’s information easier for people and AI systems to discover, understand, trust, and cite across traditional search engines, AI-powered search, answer engines, assistants, and emerging agent ecosystems.

This role combines deep search knowledge with hands-on technical architecture and experimentation. You will own the technical designs, information and relationship models, standards, feasibility assessments, dependencies, implementation guidance, and validation that support Heritage’s search and AI-discovery strategy. You will personally build prototypes and reference implementations, then partner with Engineering to turn validated approaches into production capabilities.

As part of our Enterprise AI team, reporting to the Manager, Enterprise AI, you will work closely with the SEO and AEO Strategy Manager, who owns commercial strategy, growth priorities, the delivery backlog, and business outcomes. You will advise and influence the growth roadmap through technical evidence and emerging capabilities.

Success means making Heritage a more accessible and trusted source for auctions, collectibles, valuations, provenance, historical objects, and market intelligence while preserving the meaning and accuracy of its information. In partnership with the SEO and AEO Strategy Manager, you will support improved visibility and citations for strategic topics and a measurable contribution to qualified traffic, registrations, consignments, bidding activity, purchases, and revenue

BENEFITS

Medical, Dental, Vision coverage

Paid time off

401k savings plans

Onsite gym with access to a personal trainer

COMPENSATION: Commensurate on experience

LOCATION: South of Dallas/Fort Worth International Airport, NW corner of W. Airport Freeway (Hwy. 183) and Valley View Lane

Heritage Auctions welcomes and encourages applications from women, minorities, veterans, mature workers, and persons with disabilities. EOE

KEY RESPONSIBILITIES

Define, document, and govern technical standards for crawlability, indexing, rendering, canonical URLs, metadata, internal linking, structured data, content architecture, and search performance. Maintain reusable implementation patterns that reduce ambiguity and repeated research. Assess how Heritage’s inventory, archives, specialist expertise, and market data are exposed to search engines and AI systems, and identify barriers to accurate discovery, retrieval, attribution, and citation.

Develop information models, reusable schema patterns, and knowledge and relationship graphs that distinguish an object from its auction appearances, an active offering from a historical auction result, and an estimate from a realized price. Preserve provenance, relevant dates, price definitions, and reliable links between records. Work with Heritage specialists, Data Services, and Engineering to validate entity definitions, attributes, identifiers, and relationships. Validate that discovery outputs preserve these distinctions.

Translate business priorities into clear technical designs, requirements, dependencies, tradeoffs, and acceptance criteria for Product and Project Management, Web, Data Services, and Engineering. Provide practical implementation guidance and test cases, surface risks and unresolved dependencies early, and help resolve technical gaps through production delivery and validation against intended behavior

Personally build prototypes and reference implementations using Heritage data to test technical approaches, expose assumptions, and demonstrate proposed standards. Run focused experiments, compare results, and iterate before recommending broader adoption.

Evaluate APIs, data feeds, agent access, Model Context Protocol (MCP) capabilities, and emerging discovery approaches, providing practical guidance on security, data availability, feasibility, and integration. Track evolving schema practices, naming conventions, and changes in how search engines and AI agents discover and interpret information. Use experimental evidence to explain their practical implications and proactively surface capabilities and constraints that should inform or reshape planning while following agreed business priorities.

Establish technical and discovery baselines with the SEO and AEO Strategy Manager and relevant analytics partners. Measure and validate implemented improvements for information accuracy, crawlability, index coverage, structured-data quality, and accessibility to search and AI agents. Collaborate on measurement of visibility, citations, qualified traffic, conversions, and agreed business outcomes, distinguishing technical performance from commercial results.

In your first 90 days, work with the SEO and AEO Strategy Manager, Engineering, Data Services, Web, and Heritage specialists to establish discovery, technical-accessibility, and information-accuracy baselines for an agreed representative scope. Identify the most consequential barriers and dependencies, agree on a representative category’s information model and pilot acceptance criteria, and build and test a reference implementation. Deliver a measurable implemented pilot with Engineering and validate results against the baselines and acceptance criteria, including information accuracy and accessibility to search and AI agents. Document results, remaining limitations, and recommendations for the next business-prioritized improvements

Requirements

QUALIFICATIONS

Experience in technical SEO, web architecture, digital marketing technology, organic growth, or a related discipline, with strong knowledge of crawlability, indexing, website structure, metadata, canonicalization, and search performance.

Broad technical understanding of front-end websites, back-end systems, structured data, APIs, data flows, and AI-discovery integrations.

Ability to build and test prototypes and reference implementations and translate them into practical implementation guidance.

Ability to model entities and relationships clearly and preserve the meaning of complex information across systems.

Familiarity with AI-powered search, large language models, answer engines, and emerging discovery practices.

Ability to translate business and marketing objectives into technical requirements and explain capabilities, constraints, and tradeoffs to technical and nontechnical partners.

Experience partnering with developers, data engineers, product or project managers, marketers, and business stakeholders.

Strong analytical, research, communication, and problem-solving skills, including the judgment to evaluate unfamiliar technologies and recommend a practical path forward.

A strong sense of ownership for technical outcomes, including proactively identifying opportunities, surfacing risks, resolving gaps, and following work through validation.

PREFERRED EXPERIENCE

Experience implementing or guiding schema, structured-data, knowledge-graph, or entity-modeling initiatives.

Familiarity with answer engine optimization (AEO), generative engine optimization (GEO), entity authority, or LLM visibility measurement.

Working knowledge of JavaScript-rendered websites, content management systems, APIs, data feeds, and modern web architecture.

Familiarity with agent integrations, MCP, or other methods for making organizational content available to external AI systems.

Experience with Google Analytics, Google Search Console, Semrush, Ahrefs, Adobe Analytics, Salesforce, Robohead, or similar platforms.

Experience with marketplaces, ecommerce, luxury goods, auctions, collectibles, or other expertise-driven industries

Languages

Search & AI Discovery Architect

Description

SUMMARY

BENEFITS

KEY RESPONSIBILITIES

Requirements

QUALIFICATIONS

PREFERRED EXPERIENCE

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