WEXHiring

Senior AI Product Manager (Context Engineering)

  • Remote, United States
  • Lead
  • Posted 2 days ago
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or apply from Claude / ChatGPT / Muse

In one line

Hands-on product role owning the context layer that feeds a company-wide fleet of AI agents, working with engineering and data teams.

About the role

Context engineering here means turning company knowledge, operational reality and business rules into trusted, permission-aware input for agents. The work sits in a data, AI and risk product group and spans semantic data, retrieval and agent workflows.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Lead
Skills
RAG, Embeddings, SQL, Data modeling, JSON, YAML, APIs, Row-Level Security
Posted
27 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Prioritise context initiatives with product, engineering and business leaders, sequencing by impact, agent demand and source readiness
  • Set standards for ingestion, chunking, caching, metadata and citations, merging legacy knowledge APIs into unified interfaces
  • Design production context packs for key workflows and SOPs, inspecting retrieval traces and debugging failures with agent teams
  • Build evaluation uses, golden datasets and error taxonomies to benchmark retrieval relevance and query precision
  • Embed auditability, lineage and least-privilege access into the context layer and track return through API cost and resolution lift

What they look for

  • Senior product management experience with data platforms, enterprise search, semantic layers, API products or internal developer platforms
  • Comfort inspecting retrieval traces, reading query plans, reviewing JSON or YAML configs and calling APIs
  • Experience designing evaluation uses, benchmark datasets and quantitative quality gates

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ClaudeConnectorChatGPTConnectorMuseby Meta

Claude

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Connector URL
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ChatGPT

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Connector URL
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Muse

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Message for Muse
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Muse is available in the US only for now.

Prompt
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Questions about this job

Is this job fully remote, and from where?

Yes. The posting lists Senior AI Product Manager (Context Engineering) as a remote role for candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a lead role. The posting asks for: senior product management experience with data platforms, enterprise search, semantic layers, API products or internal developer platforms; comfort inspecting retrieval traces, reading query plans, reviewing JSON or YAML configs and calling APIs; experience designing evaluation uses, benchmark datasets and quantitative quality gates. Skills it names include RAG, Embeddings, SQL, Data modeling.

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Click Apply with Keywordise AI, create an account and upload your CV. Your CV and cover letter are written for this job from what you have really done, then Keywordise applies for you. Trial: 7 days, no card.

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