Backend Engineer - Bay Area at Ema

San Francisco, California, United States

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$135,000 – $200,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Enterprise SoftwareIndustries

Skills

Key technologies and capabilities for this role

PythonGoPostgreSQLElasticRedisGCPAWSAzureDockerKubernetesHTMLCSSJavaScriptReactAngularAPI DesignSaaSSecurity Protocols

Questions & Answers

Common questions about this position

What is the salary range for this Backend Engineer position?

The salary range is $135,000 - $200,000 for California-based candidates.

Is this role remote or hybrid, and what's the office requirement?

This is a hybrid role requiring 3 days in the office, based in the Bay Area with Ema located in Silicon Valley.

What are the key skills required for this Backend Engineer role?

Key skills include back-end development with Python and Go, database technologies like PostgreSQL, Redis, and Elastic, cloud platforms such as GCP, AWS, and Azure, and containerization with Docker and Kubernetes.

What is the company culture like at Ema?

Ema fosters a mission-oriented, fast-paced, high-growth startup environment where creative problem solvers thrive in ambiguity, with experience working with global teams.

What makes a strong candidate for this Backend Engineer position?

Strong candidates have a Bachelor’s in Computer Science, 4+ years of experience, solid background in algorithms and data structures, back-end expertise in Python/Go, and the ability to work independently and with global teams.

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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