TubeScience Jobs Hiring Now
TubeScience is hiring for 11 open roles on Migrate Mate as of July 16, 2026, concentrated in software engineering and marketing, with listed salaries up to about $200,000. Migrate Mate updates TubeScience's live openings daily. TubeScience is a performance creative and paid social company that helps brands produce and scale video advertising content.
Find TubeScience JobsOverview
TubeScience hiring data on Migrate Mate, as of July 16, 2026.
- Open jobs
- 11
- Top team
- Software Engineering
- Seniority
- Manager level or above
- Work type
- 55% remote or hybrid
- Top location
- Los Angeles
- Salary range
- $60,000–$200,000
Listed salaries for TubeScience roles on Migrate Mate range from about $60,000 to $200,000 per year across 11 open roles, as of July 16, 2026.
Open Roles at TubeScience
Showing 11 of 11+ TubeScience jobs
- Senior AI Workflow & Systems Engineer
️ Role: Senior AI Workflow & Systems Engineer
Location: Remote (Los Angeles based preferred)
Compensation: Remote $70,000–$120,000 | Los Angeles $110,000–$160,000
Reports to: VP of IS
Team: Information Systems
About TubeScience
TubeScience is a data-driven creative studio producing performance advertising at massive scale — and we're growing fast. We're looking for a Senior AI Workflow & Systems Engineer to be the most technically sophisticated AI builder in the company. You'll sit in IT but serve everyone — owning the infrastructure, deployments, and systems that make our AI initiatives real, and unblocking every team that's building on top of them.
The Role
This is a systems and deployment role for someone genuinely excited about where AI is taking enterprise engineering. You won't just design workflows — you'll own the infrastructure they run on, keep them running reliably, and be the expert other teams call when things break or they hit a wall.
You are the architect, the deployer, the maintainer, and the unlocker — all in one. When there's no PM driving an AI initiative, you'll step in and own it end-to-end.
What You'll Own
- Build and deploy LLM-powered applications and agent-based workflows that eliminate manual effort across the company
- Design multi-step agentic pipelines — tool use, RAG, structured outputs — built for production, not demos
- Integrate AI workflows with TubeScience's existing systems via REST APIs, webhooks, and custom integrations
- Develop automation pipelines
- Evaluate emerging AI tooling and own build-vs-buy decisions
- Own deployment and management of AI workflows and applications on Vercel and cloud platforms
- Build and maintain the infrastructure that supports TubeScience's AI initiatives — including cloud-based agents, serverless functions, and supporting services
- Design for resilience: logging, error handling, alerting, and monitoring across all deployed systems
- Manage secrets, environment configs, and deployment pipelines across environments
- Align with engineering on architecture, scalability, and infrastructure decisions
- Serve as the go-to technical resource for teams across TubeScience building AI-powered workflows and apps
- Deploy, maintain, and improve departmental AI tools — owning the full lifecycle from build to production
- Debug and unstick builders across the company when they hit technical walls
- Translate team-specific business needs into precise technical requirements and actionable solutions
- Serve as final escalation for complex AI and systems issues teams can't resolve on their own
- Proactively audit AI systems and workflows for reliability issues, inefficiencies, and improvement opportunities
- When there's no dedicated PM on an AI initiative, step in: define the problem, scope the solution, and drive it to completion
- Prototype emerging AI tools and frameworks and bring the best ones into TubeScience's stack
- Document every system thoroughly so the company can run it confidently
What We're Looking For
- 4–6+ years in software engineering, DevOps, or systems engineering — with hands-on AI/ML experience
- Strong foundation as a software, systems, or DevOps engineer who has grown into AI — not the other way around
- Proven experience deploying and managing production applications on Vercel, AWS, GCP, or equivalent
- Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier, LangChain, or equivalent)
- Proven REST API integration experience with solid edge-case handling
- Experience building or maintaining cloud-based agents and serverless infrastructure
- Strong Python and/or JavaScript/Node.js — clean, production-grade code
- Solid understanding of deployment pipelines, CI/CD, environment management, and secrets handling
- Experience with vector databases and embedding-based retrieval
- Comfortable with cloud infrastructure (AWS and/or GCP) and cloud-native application patterns
- Familiarity with monitoring, logging, and alerting for production systems
- Highly autonomous — identifies problems and ships solutions without waiting to be asked
- Effective communicator across technical and non-technical audiences
- Strong product instincts: can step into ownership of an initiative when there's no PM in the room
- Calm under pressure; reliable when other teams are blocked and need answers fast
- Comfortable working across many different teams and problem domains simultaneously
- Experience with AI agent frameworks
- Background in high-volume performance advertising, media, or creative production
- Experience with AI in a production context
- Multi-step agentic pipeline design or large-scale workflow orchestration
- Experience with data pipelines or BI tooling
✨ Benefits
Health, Vision & Dental coverage
Unlimited PTO
401(k) + Matching
Life Insurance
Paid Sick Days
Paid Parental Leav
- Senior AI Workflow & Systems Engineer
️ Role: Senior AI Workflow & Systems Engineer
Location: Remote (Los Angeles based preferred)
Compensation: Remote $70,000–$120,000 | Los Angeles $110,000–$160,000
Reports to: VP of IS
Team: Information Systems
About TubeScience
TubeScience is a data-driven creative studio producing performance advertising at massive scale — and we're growing fast. We're looking for a Senior AI Workflow & Systems Engineer to be the most technically sophisticated AI builder in the company. You'll sit in IT but serve everyone — owning the infrastructure, deployments, and systems that make our AI initiatives real, and unblocking every team that's building on top of them.
The Role
This is a systems and deployment role for someone genuinely excited about where AI is taking enterprise engineering. You won't just design workflows — you'll own the infrastructure they run on, keep them running reliably, and be the expert other teams call when things break or they hit a wall.
You are the architect, the deployer, the maintainer, and the unlocker — all in one. When there's no PM driving an AI initiative, you'll step in and own it end-to-end.
What You'll Own
- Build and deploy LLM-powered applications and agent-based workflows that eliminate manual effort across the company
- Design multi-step agentic pipelines — tool use, RAG, structured outputs — built for production, not demos
- Integrate AI workflows with TubeScience's existing systems via REST APIs, webhooks, and custom integrations
- Develop automation pipelines
- Evaluate emerging AI tooling and own build-vs-buy decisions
- Own deployment and management of AI workflows and applications on Vercel and cloud platforms
- Build and maintain the infrastructure that supports TubeScience's AI initiatives — including cloud-based agents, serverless functions, and supporting services
- Design for resilience: logging, error handling, alerting, and monitoring across all deployed systems
- Manage secrets, environment configs, and deployment pipelines across environments
- Align with engineering on architecture, scalability, and infrastructure decisions
- Serve as the go-to technical resource for teams across TubeScience building AI-powered workflows and apps
- Deploy, maintain, and improve departmental AI tools — owning the full lifecycle from build to production
- Debug and unstick builders across the company when they hit technical walls
- Translate team-specific business needs into precise technical requirements and actionable solutions
- Serve as final escalation for complex AI and systems issues teams can't resolve on their own
- Proactively audit AI systems and workflows for reliability issues, inefficiencies, and improvement opportunities
- When there's no dedicated PM on an AI initiative, step in: define the problem, scope the solution, and drive it to completion
- Prototype emerging AI tools and frameworks and bring the best ones into TubeScience's stack
- Document every system thoroughly so the company can run it confidently
What We're Looking For
- 4–6+ years in software engineering, DevOps, or systems engineering — with hands-on AI/ML experience
- Strong foundation as a software, systems, or DevOps engineer who has grown into AI — not the other way around
- Proven experience deploying and managing production applications on Vercel, AWS, GCP, or equivalent
- Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier, LangChain, or equivalent)
- Proven REST API integration experience with solid edge-case handling
- Experience building or maintaining cloud-based agents and serverless infrastructure
- Strong Python and/or JavaScript/Node.js — clean, production-grade code
- Solid understanding of deployment pipelines, CI/CD, environment management, and secrets handling
- Experience with vector databases and embedding-based retrieval
- Comfortable with cloud infrastructure (AWS and/or GCP) and cloud-native application patterns
- Familiarity with monitoring, logging, and alerting for production systems
- Highly autonomous — identifies problems and ships solutions without waiting to be asked
- Effective communicator across technical and non-technical audiences
- Strong product instincts: can step into ownership of an initiative when there's no PM in the room
- Calm under pressure; reliable when other teams are blocked and need answers fast
- Comfortable working across many different teams and problem domains simultaneously
- Experience with AI agent frameworks
- Background in high-volume performance advertising, media, or creative production
- Experience with AI in a production context
- Multi-step agentic pipeline design or large-scale workflow orchestration
- Experience with data pipelines or BI tooling
✨ Benefits
Health, Vision & Dental coverage
Unlimited PTO
401(k) + Matching
Life Insurance
Paid Sick Days
Paid Parental Leav
Job Roles at TubeScience
Working at TubeScience
TubeScience's 11 open roles are manager level or above, and about 55% are remote or hybrid. The most active teams are software engineering, marketing, and content & communications. TubeScience is a performance creative and paid social company focused on producing, testing, and scaling video ad content for brands. The work spans creative strategy, post production, growth marketing, creator partnerships, and the engineering and AI systems that support them. Most TubeScience roles are based in Los Angeles and Remote.
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Browse jobs by roleTubeScience Jobs: Frequently Asked Questions
How many jobs is TubeScience hiring for right now?
TubeScience is hiring for 11 open roles on Migrate Mate as of July 16, 2026, updated daily, concentrated in software engineering and marketing. Roles span creative, engineering, production, and growth marketing functions across both on-site and remote arrangements.
What kinds of roles does TubeScience hire for?
The most active teams are software engineering, marketing, and content & communications. TubeScience hires across creative and post production, including editors, creative directors, and creative coordinators, as well as growth marketing, account management, software engineering, AI and automation engineering, and product management. Most postings are manager level or above, though some individual contributor roles appear as well.
Are TubeScience jobs remote or in-person?
Mostly remote. About 55% of TubeScience's open roles on Migrate Mate are remote or hybrid as of July 16, 2026, with the rest based in Los Angeles. Each TubeScience listing shows its work location so you can filter before applying.
How do I apply to a job at TubeScience?
Find a TubeScience role on Migrate Mate, then follow the listing through to TubeScience's own careers page to complete your application. TubeScience manages its hiring process directly, including review, interviews, and offers, so applications submitted through its own site reach the hiring team.
What do TubeScience jobs pay?
Listed salaries for TubeScience roles on Migrate Mate range from about $60,000 to $200,000 per year as of July 16, 2026, with most postings at manager level or above. Exact pay is set by TubeScience and shown on each listing.
Does TubeScience hire entry-level?
Most of TubeScience's open roles on Migrate Mate are manager level or above as of July 16, 2026. Entry-level openings are limited. Check individual TubeScience listings for stated experience requirements.
Where is TubeScience hiring?
Most TubeScience roles are based in Los Angeles and Remote, and about 55% offer remote or hybrid work as of July 16, 2026. Migrate Mate shows the location on each listing.