Senior Staff Software Engineer, Content Intelligence

🕒 il y a 16 jours

🇺🇸 États-Unis – Télétravail

💵 $144 600 - $241 100 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Arc XP

Site WebLinkedInTous les Emplois

201 - 500 employés

📱 Médias

🤖 Intelligence artificielle

☁️ SaaS

Media • Artificial Intelligence • SaaS

Arc XP est une plateforme de contenu et un système d'exploitation conçus pour les entreprises médiatiques ambitieuses, offrant un moteur alimenté par l'IA pour la croissance médiatique. Elle propose des outils avancés pour les opérations de contenu, l'automatisation des flux de travail et l'engagement des audiences, permettant aux entreprises d'innover et de personnaliser leurs stratégies de contenu. Avec un accent sur la flexibilité et l'intégration, Arc XP donne aux organisations médiatiques les moyens de rationaliser leurs processus et d'explorer de nouveaux modèles de revenus tout en conservant un avantage concurrentiel dans le paysage numérique.

Description

• 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 through solution design, security review, incremental rollout, and deprecation • Set coherent technical direction across the organization and dependent services • Own and evolve evaluation infrastructure and shared AI quality metrics • Lead safe adoption of new models through staged rollouts, quality checks, and recovery paths • Define and maintain AI guardrails for users, tenants, platform reliability, and product alignment • Enforce multi-tenancy and tenant isolation in new development • Partner with Security on privacy-by-default practices, threat modeling, secure design reviews, and vulnerability remediation • Own the release train from customer test environments to production across regions, including hotfixes • Participate in the on-call rotation • Define and track metrics for system health, customer activity, and business-critical workflows • Partner with operations and customer enablement on customer setup and onboarding • Shape the roadmap and advocate for product-area priorities with product and engineering leadership • Lead mob programming sessions, design reviews, and architecture discussions • Mentor and unblock engineers through hands-on collaboration and design partnership

🎯 Exigences

• 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 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 • Practical equivalent experience is weighed equally; no formal degree is required • Preferred: production-scale experience with vector embeddings, storage, and retrieval • Preferred: familiarity with Temporal, Kafka, MongoDB Atlas, Datadog or comparable tooling, multiple model providers and hosting options, OpenAPI, AI-assisted development tools, large-scale multilingual or regional production systems, media/publishing/newsroom technology, streaming media or rich content delivery workflows, and multimodal AI tools

🏖️ Avantages

• Competitive medical, dental and vision coverage • Company-paid pension and 401(k) match • Three weeks of vacation and up to three weeks of paid sick leave • Nine paid holidays and two personal days • 20 weeks paid parental leave for any new parent • Robust mental health resources • Backup care and caregiver concierge services • Gender affirming services • Pet insurance • Free Post digital subscription • Leadership and career development program

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