Siena AI

Lead Fullstack Engineer

Brazil

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

Requirements

Candidates must have at least 7 years of software engineering experience, specifically with Node.js, React, TypeScript, and Express. Solid experience with AWS cloud environments, including Fargate, Lambda, EC2, and SQS is required, along with strong database skills in PostgreSQL and Redis. Familiarity with CI/CD pipelines and a product-focused mindset are essential, as well as deep experience in microservices architectures and scalable systems.

Responsibilities

The Lead Fullstack Engineer will design, build, and maintain scalable features across the full stack, collaborating closely with the Product team to deliver iterative, high-impact releases. They will work on an AI-first product, integrating LLM capabilities into customer support workflows, and solve complex engineering challenges. Additionally, the engineer will maintain and improve cloud infrastructure with a DevOps mindset and share knowledge while mentoring teammates to foster a strong engineering culture.

Skills

Full Stack
Scalable Features
Front-End
Back-End
AI-Powered
Customer Support Automation
Database
API Design
System Design

Siena AI

Autonomous AI customer service platform for e-commerce

About Siena AI

Siena AI offers an autonomous customer service platform tailored for the commerce sector, enabling businesses to implement AI-driven support with ease. The platform integrates with existing help desk systems, allowing merchants and brands in the e-commerce market to provide timely and accurate customer service. Siena's technology utilizes advanced models from OpenAI, delivering human-like responses and cognitive reasoning capabilities. The company operates on a subscription-based model, offering various service tiers that cater to different business needs, including features like smart routing and the Siena Copilot for human agents. A key differentiator for Siena is its commitment to data security; it does not train its models on client data, ensuring the protection of sensitive information. The goal of Siena AI is to enhance customer support efficiency and accuracy for e-commerce businesses while maintaining a strong focus on privacy.

Key Metrics

San Francisco, CaliforniaHeadquarters
2023Year Founded
$4.6MTotal Funding
SEEDCompany Stage
Enterprise Software, Cybersecurity, AI & Machine LearningIndustries
11-50Employees

Benefits

Remote Work Options
Paid Vacation
Stock Options
Company Equity
Professional Development Budget

Risks

Increased competition from companies like Discover Financial Services using generative AI.
Dependency on external partners like LTVplus for technological advancements.
New AI-driven platforms in Eastern Europe may challenge Siena AI's market position.

Differentiation

Siena AI combines human empathy with intelligent automation for customer service.
The platform integrates seamlessly with existing help desk systems for easy deployment.
Siena AI prioritizes data security by not using client data for model training.

Upsides

Siena AI raised $4.7M to develop empathic AI customer service agents.
Partnership with LTVplus enhances customer service through empathic AI.
Subscription-based model ensures steady revenue and scalable customer service operations.

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