TubeScience

Technical Recruiter

• Own the full hiring lifecycle for technical roles: software engineers, data scientists, ML engineers, DevOps, and product managers.
• Source proactively and creatively: go beyond LinkedIn to technical communities, GitHub, Stack Overflow, engineering meetups, and referral networks.
• Partner closely with engineering leadership and hiring managers to understand technical requirements, team dynamics, and the profile of candidates most likely to succeed.
• Build and implement role-specific sourcing strategies, not generic pipelines: each search should reflect the specific technical domain and seniority level.
• Create a high-quality, personalised candidate experience that reflects TubeScience's culture and moves fast without sacrificing rigour.
• Apply data-driven insights to track pipeline health, identify drop-off points, and continuously improve hiring processes and time-to-hire.

Full-stack Engineer

• Architecting and shipping systems that directly move business outcomes
• Working across the full stack — frontend tooling for complex ad workflows, cloud infrastructure, and backend systems
• Building frontend applications for ad operations workflows that handle scale and complexity
• Developing cloud infrastructure on AWS/GCP/Azure: deployment pipelines, monitoring, autoscaling
• Creating backend services and APIs that support multiple AI agent integrations running in production
• Designing system architecture that can grow

Full Stack Engineer

QA Automation Engineer

• Architect end-to-end automation across ingest, QC, editing, delivery, and archival
• Deploy LLMs, generative video platforms, and intelligent metadata/tagging systems
• Design agent-based workflows that eliminate manual effort
• Evaluate emerging AI tooling and own build-vs-buy decisions
• Own our Iconik MAM: custom actions, metadata schemas, transcoding, and API integrations
• Build REST API and webhook integrations across post tools and third-party platforms
• Develop automation pipelines in n8n, Make, or Zapier — or go custom in Python/JS
• Design for resilience: logging, error handling, alerting, and monitoring
• Write production-grade Python and JS/Node.js scripts across Adobe Creative Suite
• Build internal tools that give editors superpowers without exposing the complexity
• Build and maintain Adobe CEP/UXP panels inside the tools editors already use
• Audit the post pipeline for bottlenecks before the team surfaces them
• Prototype emerging tech — AI, ML, new codecs, cloud-native media workflows
• Own the Post-Production tooling roadmap with minimal oversight
• Translate Post-Production creative needs into precise technical requirements
• Align with core engineering on infrastructure, deployment, and architecture
• Document every system thoroughly so the team can run it confidently
• Serve as final escalation for complex technical issues the post team can’t resolve

Post Production Automation Engineer

Account Manager

• Source and recruit creators based on briefs from Creator Leads — finding talent that matches specific demographic, content style, and brand requirements
• Negotiate rates, terms, and contracts with creators — closing deals that work for both sides while staying within budget
• Manage all creator onboarding logistics — contracts, payment setup coordination, etc.
• Handle whitelisting and ad account access — connecting creator accounts in Meta Ads Manager, TikTok Spark Ads, and other platforms so content can run as paid media
• Build and maintain a talent database tracking creator specialties, rates, availability, demographics, and past performance
• Coordinate creator availability and scheduling in partnership with Creator Leads and the production team
• Continuously grow the talent pipeline — proactively scouting new creators across TikTok, Instagram, YouTube, and emerging platforms so we always have depth and diversity of talent on tap

Technical Recruiter

Full Stack Engineer

Post Production Automation Engineer

Creator Partnerships Manager