Implementation Manager - Remote, US at Level AI

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Customer Experience, Contact CenterIndustries

Requirements

Bachelor's degree in Computer Science, Information Systems related field OR equivalent experience
3+ years of experience in a hands on technical role
1+ years of experience delivering successful customer implementations
Strong technical background with experience working with SaaS platforms, interacting with APIs, and using cloud services
Excellent project management skills with the ability to juggle multiple projects simultaneously
Ability to translate complex concepts into actionable items to non-technical stakeholders
Strong communication skills in English (both written and verbal)
Entrepreneurial & Problem-Solving Attitude - Self-motivated, adaptable, and resourceful in tackling implementation challenges

Responsibilities

Serve as the primary point of contact for key client accounts, building and maintaining strong relationships with clients
Successfully handle onboarding of multiple clients simultaneously
Understand clients' business objectives
Understand clients' technical requirements which may require leading technical discovery sessions to ensure that our AI-powered customer support solutions are configured appropriately to meet their needs
Collaborate with internal teams, including sales, product, engineering, and customer support, to address client needs and resolve technical issues
Develop and maintain a deep understanding of our AI-powered customer support solutions, and effectively communicate technical information to clients
Identify opportunities for upselling and cross-selling our solutions to existing clients
Track and report on key account metrics, such as customer satisfaction and product usage, and use this information to drive improvements in our solutions

Skills

Data Integration

Product Configuration

Client Onboarding

Auto-QA

Analytics

Voice of the Customer

Agent Assist

Screen Recording

Technical Discovery

Client Relationship Management

Cross-Selling

Level AI

Enhances customer experience through intelligent automation

About Level AI

Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.

Mountain View, CaliforniaHeadquarters

2018Year Founded

$72.4MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Remote Work Options

Parental Leave

401(k) Retirement Plan

Risks

Emerging competition from other AI platforms threatens Level AI's market share.

Rapid AI advancements could render Level AI's offerings obsolete without continuous innovation.

Data privacy regulations may impact operations, especially with new monitoring features.

Differentiation

Level AI integrates human and machine intelligence for enhanced customer experience.

The company eliminates data silos, improving decision-making and customer interactions.

Level AI's subscription model offers steady revenue and customer retention.

Upsides

Increased demand for AI-driven customer service solutions boosts Level AI's market potential.

Growing interest in real-time conversational intelligence tools enhances call center performance.

Rising adoption of generative AI technologies automates tasks and personalizes interactions.

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