Top Tech Jobs & Startup Jobs

Lead rights-management and technology consulting projects through setup, requirements, design, development, testing, deployment, and client workshops. Guide project teams, review deliverables, identify risks with mitigation plans, build client relationships, and contribute to mentorship, recruitment, and internal growth initiatives.

Lead and mentor engineering teams, shape architectures and tech stacks, propose technologies, contribute code and reference implementations, define integration and persistence strategies, and drive reusable components and engineering best practices across client and internal projects.

Lead cross-functional project teams through full SDLC for media and retail clients. Manage scope, budget, timelines, client executive relationships, workshops, risk mitigation, team development, and business development while contributing to internal growth and delivery excellence.

Lead consulting engagements to implement and optimize digital media supply chains and Digital Asset Management systems. Manage full implementation lifecycle, run workshops, gather requirements, oversee design/development/testing/deployment, maintain client relationships, identify risks and growth opportunities, and contribute to internal mentorship and strategy.

Lead and contribute to applied AI/ML projects across the SDLC: mentor teams, design and implement LLM-based solutions (RAG, copilots), architect integrations, manage data persistence choices, CI/CD, and present solutions to clients while influencing technical direction.

Lead technical and consulting project teams across full lifecycle to design, implement and optimize Digital Media Supply Chain solutions (DAM/MAM, metadata, transcoding, storage, delivery). Facilitate workshops, manage client relationships, mitigate risks, and mentor staff while driving technical architecture, development practices, and deployments for media and enterprise marketing use cases.

Lead data-focused consulting projects end-to-end: manage stakeholders and teams, translate business problems into data solutions, perform hands-on SQL (and occasional Python) development, design data models and warehouses, build BI visualizations, run workshops, mitigate risks, and contribute to practice growth and mentorship.

Lead and deliver Salesforce implementation projects end-to-end: set up projects, gather requirements, design, develop, test, deploy, manage scope/budget/timelines, mentor teams, engage executive clients, run workshops, identify risks, and support business development and internal growth initiatives.

Lead rights-management and technology implementation projects across all SDLC phases. Run client workshops, manage project plans, budgets, risks, and stakeholder communications. Mentor team members, maintain client relationships, identify new opportunities, and contribute to internal growth initiatives and methodology improvements.

Lead and mentor engineering teams in applied AI/ML projects. Define architectures, propose technologies, build reference implementations, contribute code and CI/CD pipelines, and work with clients on enterprise deployments (LLMs, MLOps, RAG, vector/graph databases). Shape engineering practices and influence business development.