About ContentJet
ContentJet is a performance creative company specializing in UGC and performance advertising. We have produced 19,000+ videos and our creative has generated billions of views for brands around the world. We are now building our own technology platform to replace our current operations stack and become the central operating system for our teams, clients, creators, and creative strategists. The platform will combine workflow management with AI-assisted product analysis, creative research, winning-ad intelligence, data classification, campaign strategy, and performance feedback loops.
The Opportunity
We are looking for a senior Backend Developer to build the data and services layer behind ContentJet's new operating and creative-intelligence platform. This role will be central to the platform's reliability: operational data, workflow logic, API integrations, winning-ad ingestion, AI analysis pipelines, classification, permissions, reporting, and the migration of large volumes of historical data from Monday.com. This needs to be a strong backend engineer, because a lot of the complexity will sit here: architecture, databases, Monday.com data migration, API integrations, AI/data pipelines, winning-ad ingestion, classification, permissions, scalability, and more.
What You'll Do
- Design and build the backend architecture, APIs, services, and data models that power the platform.
- Own core workflow logic for projects, requests, stages, assignments, approvals, QA, deadlines, activity logs, notifications, and reporting.
- Design a robust relational data model capable of replacing Monday.com as the operational system of record.
- Plan and execute migration and validation of historical operational data, including large item volumes, relationships, activity history, and business-critical fields.
- Build reliable integrations with advertising, social, creative-intelligence, analytics, AI, and other third-party APIs used to discover and ingest winning ads and supporting data.
- Develop ingestion and processing pipelines for videos, links, metadata, transcripts, briefs, uploaded documents, ad data, and performance signals.
- Build systems to normalize, classify, deduplicate, enrich, and store data before it is used by AI analysis and strategy-generation workflows.
- Develop AI orchestration services that combine structured product information, client briefs, documents, winning ads, competitor data, and performance history.
- Implement queues, retries, idempotency, caching, rate-limit handling, scheduled jobs, observability, and failure recovery for long-running or external-API-dependent processes.
- Design secure authentication/authorization, audit trails, data access controls, backups, and operational safeguards.
- Optimize performance and scalability as data volume, users, video assets, and automated analysis grow.
- Partner closely with the Full-Stack Developer and Fractional CTO on architecture, engineering standards, testing, deployment, and technical roadmap.
What We're Looking For
- 6+ years of backend/software engineering experience, including ownership of production systems.
- Strong experience with a modern backend language/framework such as TypeScript/Node.js, Python, Go, Java, or equivalent.
- Deep knowledge of PostgreSQL or comparable relational databases, including schema design, indexing, transactions, migrations, and performance optimization.
- Strong API design experience and practical experience integrating multiple external APIs.
- Experience building asynchronous systems with job queues, workers, retries, schedulers, and event-driven patterns.
- Experience with cloud infrastructure, containerization, CI/CD, logging, monitoring, alerting, and production incident debugging.
- Strong understanding of authentication, RBAC/permissions, application security, data integrity, backups, and auditability.
- Experience designing data ingestion/ETL pipelines and normalizing data from heterogeneous sources.
- Ability to reason about scalability, reliability, latency, cost, and maintainability rather than only feature delivery.
- Excellent written English and ability to work independently in a distributed team.
Nice to Have
- Hands-on experience building LLM/AI pipelines, structured extraction, classification, RAG, embeddings, vector search, or evaluation systems.
- Experience with ad-tech, social APIs, Meta/TikTok ecosystems, creative intelligence, or marketing analytics.
- Experience processing video/media, transcription, document extraction, object storage, or large-file workflows.
- Experience migrating from Monday.com or other no-code/work-management platforms into a custom system.
- Experience with data warehouses, analytics pipelines, or product telemetry.
- Experience designing multi-tenant SaaS systems and fine-grained permission models.
What Success Looks Like
- The platform becomes a trustworthy system of record with clean, well-modeled operational data.
- Historical migration is accurate and verifiable, with critical relationships and activity data preserved where required.
- External API and AI pipelines remain resilient when source data is incomplete, slow, rate-limited, or unavailable.
- The backend supports fast product development while maintaining security, observability, data integrity, and scalability.
Perks & Benefits
- Fully remote work with an international team.
- Paid time off.
- Performance-based bonuses.
- High ownership and direct influence over a platform that will become core infrastructure for the company.
- Opportunity to work at the intersection of performance marketing, creative strategy, AI, data, and workflow automation.
- Fast-moving environment with direct access to company leadership and short decision-making cycles.
How We Work
We value ownership, speed, clear communication, practical problem-solving, and measurable outcomes. You will work closely with leadership and with the people who use the platform every day. We expect engineers to understand the business problem behind a feature, question weak assumptions, and help design better solutions.
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