Ema

Partner Success Architect

United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise Software, BiotechnologyIndustries

Requirements

Candidates should have 5+ years of experience in solution architecture, partner engineering, or pre-sales in enterprise software or SaaS, demonstrating expertise in designing or implementing complex technical solutions in a B2B environment, preferably in AI, ML, automation, or cloud platforms. Excellent communication and presentation skills are required, with the ability to simplify complex technical concepts for diverse audiences. Prior experience in a startup or high-growth SaaS environment is preferred.

Responsibilities

As a Partner Success Architect, you will serve as a critical bridge between Ema’s platform capabilities and partners' business and technical goals, owning the technical co-creation process with partners. You will build pre-sales assets by creating solution templates, demos, and reference architectures to support sales and showcase capabilities. Additionally, you will drive Partner Enablement by owning technical onboarding, design enablement materials, and support partners in scaling their solutions, act as a Trusted Advisor by providing ongoing technical guidance and feedback, support GTM and Field Sales by delivering demos and contributing to GTM assets, and track and optimize partner success with KPIs and gather market feedback.

Skills

Technical co-creation

Solution templates

Demo creation

Reference architectures

Partner enablement

Technical onboarding

Troubleshooting

Cross-functional collaboration

AI workflows

Customer success

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.

Key Metrics

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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