Top Tech Jobs & Startup Jobs

Seeking a Senior Data Architect who designs and deploys predictive models, analyzes complex datasets, and collaborates with cross-functional teams to drive data-driven product innovation.

Develop and maintain backend services using Node.js and support fullstack applications, collaborating on system reliability and optimization in a cross-functional team.

The Senior AI Engineer develops and maintains backend services, APIs, and integrates AI-driven platforms while ensuring reliability and scalability in production environments.

As a Senior Fullstack Engineer, you will develop and maintain applications, integrating backend services and APIs, and ensure system reliability and performance.

Lead and own Robots & Pencils' visual identity system, governance, and execution. Establish brand guidelines, quality controls, workflows, and vendor oversight. Provide creative direction across digital, print, motion, and marketing assets, recruit and mentor brand team members, and ensure consistent, scalable brand expression.

Design and evolve scalable content models and governance frameworks in collaboration with UX, engineering, and product teams, improving editorial workflow and data integrity in digital platforms.

Implement, deploy, and maintain production-grade AI/ML systems and pipelines. Contribute to model training, inference services, MLOps/LLMOps workflows, monitoring, and data ingestion. Collaborate with product and engineering teams to operationalize research prototypes, debug cross-layer issues, and deliver reliable, scalable AI features.

Lead and evolve internal IT across a distributed, international team. Own application lifecycle, vendor and cost management, security and SOC 2 compliance efforts, onboarding/offboarding/process standardization, and helpdesk leadership. Implement scalable systems (HRIS/PSA), optimize SaaS usage, and partner cross-functionally to improve operational reliability and adoption.

Lead design and delivery of production-grade AI systems: define architecture, build scalable ML pipelines and inference, operationalize research, ensure reliability/observability, mentor engineers, and align AI work to business outcomes.

The role involves defining product vision and strategy for Generative AI solutions, managing product lifecycle, stakeholder relationships, and ensuring technical compliance with business outcomes.