Enterprise Solutions Manager - Data Labs

Invisible Technologies
•$115,000 - $164,000•Onsite

About The Position

The Enterprise Solutions Manager drives operational excellence and client success through strategic analysis, process optimization, and cross-functional project management. The role serves as a bridge between Invisible’s global talent network and enterprise clients, working with leadership to scale operations and deliver AI solutions. It combines client-facing responsibilities with operational oversight, technical collaboration, and relationship management. The manager partners with Directors and senior leadership and collaborates across product, engineering, and operations. The position offers opportunities to build processes from the ground up and contribute to the next-generation marketplace launch. It is based in San Jose, California, and requires working in the office five days per week.

Requirements

  • Experience in consulting, banking, technology, or high-growth startup environments.
  • A proven track record of building operations and processes from 0 to 1.
  • Strong project management experience with complex, multi-stakeholder initiatives.
  • At least 5 years of experience in a client-facing role working with enterprise accounts and managing stakeholders.
  • Advanced proficiency in Excel, Google Suite, and data analysis tools.
  • Exceptional communication skills and ability to thrive in fast-paced, ambiguous environments.
  • Strong bias toward action and demonstrated ownership mentality.

Nice To Haves

  • Experience with SQL, business intelligence tools, or automation platforms.

Responsibilities

  • Partner with Directors on client meetings, requirements scoping, and strategic solution design.
  • Serve as a bridge between enterprise clients, the global talent network, and internal delivery teams.
  • Design and implement scalable operational processes from 0 to 1.
  • Collaborate with product and engineering teams on technical handoffs and automation.
  • Lead project delivery, performance analysis, and quality optimization across workflows.
  • Conduct daily team reviews and mentor operational staff.
  • Build data-driven insights and support real-time analytics initiatives.

Benefits

  • Bonus and equity are included in full-time, non-commission offers.
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