Senior Enterprise Solutions Manager

Invisible Technologies
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Leadership","Problem-solving","Strategic thinking","Fast learner"]

Operations-focused role managing complex client work, large-scale teams, and AI training processes to optimize enterprise delivery. You’ll oversee strategic client relationships, project capacity, process design, and financial cycles, driving profitability and growth while coordinating cross-functional teams and ensuring high-quality service across health care clients.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Invisible Technologies
Invisible Technologies
4 months ago

Senior Enterprise Solutions Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Operations-focused role managing complex client work, large-scale teams, and AI training processes to optimize enterprise delivery. You’ll oversee strategic client relationships, project capacity, process design, and financial cycles, driving profitability and growth while coordinating cross-functional teams and ensuring high-quality service across health care clients.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Manager level

Key Responsibilities

  • •Manage Strategic Clients Relationships: Oversee operational delivery to a book of health care clients (e.g., provider, payor, and life sciences) to ensure that their evolving needs are met, requiring strong communication and presentation skills, clear expectations management and service-level agreements, and timely troubleshooting. Ensure pricing and billing are accurate.
  • •Manage Complex Projects: Partner with clients to align on expected work volume, use forecasts to develop a project plan and ensure sufficient capacity. Serve as a bridge between the client and automations teams to develop and refine processes.
  • •Innovate & Iterate on Process Design: Build and design frameworks and guidelines to drive best practices in AI training and, ultimately, improvements to AI models. Iterate through collaboration with team members, peers, and clients.
  • •Manage Large-Scale Teams: Oversee hiring, staffing, and development of sizable project teams. Act as the vital link between our clients and teams throughout Invisible, requiring a strong synthesis of client needs and an eye towards productive collaboration. Onboard new joiners.
  • •Own Your Business: Maintain client health in both service and unit economics and provide guidance and leadership to the team of operators that are in charge of producing the outputs of the client/process. Own the financial cycles for the book of clients, including payroll reconciliation and approval, and end-of-month closure of the financials. Collaborate with the Director/s to develop and implement strategies that drive growth and profitability.

Key Requirements

  • •At least 5 years of experience in operations management, preferably in a client-facing role
  • •Proven track record of managing client relationships and delivering exceptional service
  • •Intermediate understanding of how to build financial models, especially cost-driven analysis; comfortable with data analysis in spreadsheets
  • •Strong management and leadership skills and ability to provide guidance and support to a team
  • •Experience in capacity planning and project management
Experience:5+ yearsHealthcare
Skills:CommunicationLeadershipProblem-solvingStrategic thinkingFast learner
Languages:English

Company Brief

Invisible Technologies
Invisible Technologies provides an enterprise AI platform that structures messy data, builds digital workflows, deploys agentic solutions, and integrates human expertise to operationalize AI for customers across industries. Founded in 2015, it has rapidly grown and serves large enterprise clients.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Funding: Series A
Headquarters: New York, United States
Founded: 2015
WebsiteLinkedIn