Senior Staff Software Engineer, Content Intelligence

Arc XP•DC-TWP Remote Office, DC

9d•$144,600 - $241,100

About The Position

Arc XP is the AI-powered content platform for media companies. Purpose-built for publishers and broadcasters, it is the CMS and content platform that ambitious media organizations across digital media, news publishing, broadcast, and B2B publishing use to create and distribute content, grow and engage their audiences, and monetize through subscriptions and advertising. Fully leveraging AWS, the platform is built on a microservices architecture, and our teams deploy new features and products daily. This position sits on the Content Intelligence team, which builds and operates the AI systems that power Arc XP. The team owns the Arc Intelligence API, a multi-tenant LLM and vector platform used across Arc products; Ask the News, which provides retrieval-augmented answers over a publisher's own archive; and the intelligence layer behind our personalization and audience products. These are production systems serving publishers across North America, Europe, Latin America, and APAC. They support a wide range of newsroom, audience, and business workflows, and that breadth shapes how we build: with strong tenant isolation, reliable retrieval, thoughtful controls, and careful attention to cost, performance, and trust at scale. We are seeking a Senior Staff Software Engineer to lead technical direction across these systems. This is a senior individual contributor role with organizational technical leadership scope. You will define how these systems fit together, write the designs others build against, ship the hardest parts, and ensure the work scales across tenants, content models, languages, and operating requirements.

Requirements

8+ years designing, building, and operating backend distributed systems at scale, including significant experience setting technical direction at the senior, staff, or principal level.
Demonstrated ability to lead and architect across teams, influence technical direction without formal authority, and stay 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: 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 this role's leverage is text.

Nice To Haves

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 APM, LLM observability, and application security monitoring.
Experience evaluating and integrating multiple model providers and hosting options.
Strong API and developer-experience craft: OpenAPI discipline, versioning, deprecation paths, backward compatibility, and predictable usage contracts.
Comfortable 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.

Responsibilities

Own the end-to-end design of Arc's AI platform: 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 what it replaced.
Set technical direction that holds across the organization, keeping decisions coherent with the services we depend on.
Own and evolve the evaluation infrastructure, keeping shared metrics reliable, relevant, and aligned with evolving 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 clear standards for data retention, minimization, erasure, and compliance controls.
Partner with Security on threat modeling, secure design reviews, and prioritizing vulnerability remediation.
Own the release train from customer test environments to production across regions, hotfixes included, without needing someone else to decide 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 what gets built. Bring ideas forward, shape the roadmap for your product area, and advocate for priorities with product and engineering leadership.
Lead mob programming sessions, design reviews, and architecture discussions, using them to raise engineering standards rather than simply approving changes.
Mentor and unblock other engineers through hands-on collaboration and design partnership.