Jobs at Invisible Technologies

The Enterprise Solutions Manager drives operational excellence and client success through strategic analysis, process optimization, and project management, collaborating with various teams to deliver AI solutions.

Drives enterprise client success and operational excellence by scoping requirements, designing scalable processes, coordinating cross-functional delivery, analyzing performance, optimizing quality, and supporting analytics initiatives. Acts as a bridge between enterprise clients, a global talent network, and internal product, engineering, and operations teams. The role also includes mentoring operational staff, managing stakeholder relationships, and helping build new marketplace capabilities.

Design scalable human-data solutions for frontier AI clients, translating ambiguous model-training and evaluation needs into executable programs. Lead discovery, methodology, task and workflow design, feasibility estimates, expert profiling, quality strategies, and technical architecture in partnership with engineering and project teams. Advise on fine-tuning, RLHF, benchmarks, red teaming, multimodal data, coding tasks, and agent environments while guiding pilots through early delivery and developing reusable best practices.

Build and deploy AI-powered solutions directly with clients and internal delivery teams. Responsibilities include scoping ambiguous problems, designing LLM and retrieval workflows, developing scalable backend and infrastructure systems, optimizing operational workflows, translating messy data into technical architectures, iterating with stakeholders, and creating reusable deployment tooling. The role also involves client communication, end-to-end project ownership, customer on-call support, travel for client engagements, and hybrid office work.

Build and deploy AI-powered solutions for client operational problems. Responsibilities include scoping ambiguous requirements, designing LLM and retrieval workflows, developing scalable software, working with messy data, iterating with clients and operators, and creating reusable deployment infrastructure. The role combines AI engineering, software development, and technical consulting, with customer-facing collaboration, on-call responsibilities, and 25–50% travel for client engagements.