Senior Technical Account Manager

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise SoftwareIndustries

Requirements

The ideal candidate will have a strong background in technical project management, with experience in leading end-to-end implementations of complex solutions. A deep understanding of AI technologies, particularly agentic AI workflows, and the ability to evaluate and optimize AI performance from a customer perspective are essential. Excellent communication and stakeholder management skills are required, along with the ability to act as a strategic advisor to enterprise clients and identify upsell/cross-sell opportunities.

Responsibilities

As a Senior Technical Account Manager, you will lead the implementation of agentic AI workflows for enterprise customers, managing the entire project lifecycle from kickoff to post-deployment optimization. You will proactively identify and mitigate risks, serve as the primary point of contact for customer implementations, and collaborate with internal teams to resolve technical roadblocks. Responsibilities also include monitoring AI Employee performance, establishing evaluation criteria, analyzing usage patterns for optimization, training customers on AI Employee utilization, managing customer relationships to ensure satisfaction and retention, conducting business reviews, and identifying expansion opportunities.

Skills

Technical Project Management

AI Workflow Implementation

Stakeholder Communication

Risk Mitigation

AI Optimization

Agentic AI

Ema

Develops enterprise AI solutions for workforce efficiency

About Ema

Ema develops and implements AI solutions specifically designed for businesses. Their main product is AI employees that can be customized through conversation to learn and perform tasks that exceed human capabilities, allowing companies to quickly expand their workforce. Ema's AI solutions focus on replacing traditional co-pilots with secure and compliant AI employees, meeting strict standards like SOC2, ISO27001, GDPR, HIPAA, and NIST. The EmaFusionTM model combines the strengths of over 100 large language models to deliver high accuracy at a low cost for various enterprise applications. Ema distinguishes itself from competitors by providing tailored solutions that empower businesses to enhance their operational efficiency. The company's goal is to help enterprises take control of their operations and achieve significant improvements in productivity through advanced AI technology.

Mountain View, CaliforniaHeadquarters

2023Year Founded

$59.3MTotal Funding

SERIES_ACompany Stage

Cybersecurity, AI & Machine LearningIndustries

51-200Employees

Benefits

Hybrid Work Options

Risks

Emerging competition from startups like SilkFlo and Kognitos threatens Ema's market share.

Rapid customer base expansion may strain Ema's operational capabilities and service quality.

Reliance on multiple investors may lead to conflicting interests and strategic directions.

Differentiation

EmaFusionTM integrates over 100 LLMs for high accuracy and cost-effectiveness.

Ema offers secure AI employees adhering to SOC2, ISO27001, GDPR, HIPAA, and NIST standards.

Ema's no-code AI agents enable enterprises to deploy AI without extensive technical expertise.

Upsides

Ema's customer base has more than doubled since its launch in March 2024.

Ema secured $50M in Series A funding, enhancing its market position and capabilities.

Growing demand for AI-driven automation aligns with Ema's focus on AI employees.

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