Ema

Forward Deployed Software Engineer| Solution Architect

United States

Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise Software, FintechIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: Not Provided

Ema is building the world’s largest agentic AI platform, aiming to 10x workforce productivity by helping enterprises build and deploy their own AI employees. Backed by prominent investors (Accel, Prosus, SCB10X, Hitachi Ventures, Sozo Ventures), we’ve raised over $60M to date. Our founders, Surojit Chatterjee and Souvik Sen, bring experience from Google, Coinbase, Flipkart, and Okta. This role focuses on collaborating with sales leadership, understanding customer needs, and enabling technical solution deployments.

Responsibilities

  • Collaborate with sales leadership to understand customer requirements and enable technical solutions deployment.
  • Develop an in-depth understanding of Ema’s technology and underlying architectures.
  • Deliver compelling product demonstrations tailored to specific customer needs, showcasing key features and benefits.
  • Work closely with customers to execute successful Proof of Concepts (PoCs).
  • Position yourself as a Trusted Advisor to key customer stakeholders, focusing on achieving their desired Business Outcomes.
  • Collaborate with customers to design and architect solutions aligning with their business goals, ensuring seamless integration with existing systems.
  • Drive project teams towards common goals of accelerating Ema’s solution adoption.
  • Demonstrate and communicate the value of Ema’s solution throughout the engagement, from demo to PoC to workshops and implementation.
  • Help take Ema’s solution from PoC to production.
  • Understand customers’ cloud/on-prem environments and their unique needs for deploying Ema’s solutions.
  • Work with the engineering team to translate customer needs into a productionizable solution, fitting into Ema’s deployment models.
  • Manage the customer’s problem through effective diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer challenges on Ema’s platform.
  • Create repeatable processes.
  • Create and maintain technical documentation, including solution architectures, integration guides, and best practices.
  • Act as a consultant and subject matter expert for internal stakeholders (engineering, sales, and product) to resolve technical deployment obstacles and improve Ema.

Requirements

  • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Experience: 8+ years of experience as a Solutions Architect/Solutions Engineer, Sales Engineer, Forward Deployment Engineer, or in a similar technical pre-sales role.
  • Technical Skills:
    • Strong understanding of enterprise SaaS solutions and cloud technologies.
    • Solid experience with solution design, architecture, and integration.
    • Familiarity with relevant programming languages and technologies.
  • Soft Skills:
    • Customer-focused mindset with a passion for understanding and solving customer challenges.
    • Excellent presentation and communication skills.

Company Information

  • About Ema: Ema is building the world’s largest agentic AI platform, aiming to 10x workforce productivity by helping enterprises build and deploy their own AI employees.
  • Investors: Backed by marquee investors (Accel, Prosus, SCB10X, Hitachi Ventures, Sozo Ventures) and has raised over $60M+ till date.
  • Founders: Surojit Chatterjee and Souvik Sen (experience from Google, Coinbase, Flipkart, and Okta).

Skills

Product Demonstrations
Solution Architecture
Customer Requirements
Technical Solutions
Proof of Concepts (PoCs)
Cloud Environments
On-Prem Environments
System Integration
Business Outcomes
Diagnosis
Resolution
Investigation Tools

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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