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Arc XP

Content platform and OS for media

Senior Staff Software Engineer - Content Intelligence

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 8 years of experience designing, building, and operating backend distributed systems at scale, including significant experience setting technical direction at the senior, staff, or principal level.
  • Ability to lead and architect across teams, influence technical direction without formal authority, and remain accountable for outcomes that depend on other teams' work.
  • Strong Python experience, including production API development with FastAPI or a close equivalent.
  • Deep AWS experience across core services, including Lambda, ECS, S3, CloudFront, DynamoDB, Bedrock, CodePipeline, and CodeBuild.
  • Experience with infrastructure-as-code frameworks, including Terraform, OpenTofu, Terragrunt, CloudFormation, or similar.
  • Hands-on experience building production AI systems, including model routing, retrieval architecture, embedding and chunking strategy, reranking, streaming responses, guardrails, and evaluation harnesses.
  • Experience with multi-tenant SaaS architecture, including tenant-isolation enforcement, per-tenant configuration, and usage metering.
  • Demonstrated written clarity across design documents, roadmaps, and runbooks; much of the role's leverage is text.

Responsibilities

  • Own the end-to-end design of Arc's AI platform, including model routing, prompt management, vector storage, and agentic runtimes.
  • Lead major architectural changes end to end, including solution design, security review, incremental rollout, and deprecation of replaced systems.
  • Set technical direction across the organization and keep decisions coherent with dependent services.
  • Own and evolve evaluation infrastructure, keeping shared metrics reliable, relevant, and aligned with changing quality needs.
  • Lead the safe adoption of new models through staged rollout practices, quality checks, and clear recovery paths.
  • Define and maintain AI guardrails that protect users, tenants, and platform reliability while keeping model capabilities aligned with product needs.
  • Own the multi-tenancy model and enforce tenant isolation in all new development.
  • Partner with Security to strengthen privacy-by-default practices, with standards for data retention, minimization, erasure, and compliance controls.
  • Partner with Security on threat modeling, secure design reviews, and vulnerability-remediation prioritization.
  • Own the release train from customer test environments to production across regions, including hotfixes, and determine when it is safe to ship.
  • Participate in the on-call rotation.
  • Define and track key metrics for system health, customer activity, and business-critical workflows.
  • Partner with operations and customer enablement to streamline customer setup and onboarding.
  • Drive product-area priorities, shape the roadmap, and advocate for priorities with product and engineering leadership.
  • Lead mob programming sessions, design reviews, and architecture discussions to raise engineering standards.
  • Mentor and unblock engineers through hands-on collaboration and design partnership.

Desired Qualifications

  • Production-scale experience with vector embeddings, storage, and retrieval.
  • Familiarity with workflow orchestration frameworks such as Temporal.
  • Familiarity with event-streaming platforms such as Kafka.
  • Experience with NoSQL and document databases such as MongoDB Atlas.
  • Experience implementing observability with Datadog or comparable tooling, including application performance monitoring, large language model observability, and application security monitoring.
  • Experience evaluating and integrating multiple model providers and hosting options.
  • Strong API and developer-experience craft, including OpenAPI discipline, versioning, deprecation paths, backward compatibility, and predictable usage contracts.
  • Comfort leveraging AI-assisted development tools such as Claude Code across prototyping, implementation, testing, and documentation while applying strong engineering judgment.
  • Experience evolving large-scale production systems while maintaining customer continuity across multiple languages or regions.
  • Media, publishing, or newsroom technology background.
  • Experience developing streaming media or rich content delivery workflows.
  • Hands-on experience with multimodal AI tools for media analysis and generation, including video, photo, or audio.

About the Company

Arc XP

Content platform and OS for media

Arc XP provides a content platform and operating system designed for media companies that want to grow and win. It combines AI-powered tools for generating content and personalizing reader experiences with automation to handle low-value workflows. This enables editorial teams to focus on high-value work while delivering highly personalized experiences that turn casual readers into subscribers and fans. The platform is built on scalable, extensible infrastructure so media companies can move faster and innovate without limits. Arc XP differentiates itself by combining a unified, end-to-end platform with AI-driven content and audience personalization, backed by experience from The Washington Post. The company’s goal is to help media organizations own their audiences, run smarter, and outpace competitors by achieving aggressive, technology-driven growth.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Chicago, IL
Founded
2016

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