Cloud Support Engineer

Canada

Apply with AI Apply

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Market Intelligence, AI, SaaSIndustries

Requirements

Candidates should have 3-5 years of experience in technical support, IT operations, or a related field. Strong communication skills to explain complex technical concepts to various audiences are essential. A proactive, customer-first mindset, adaptability, and a willingness to continuously learn are also required. Experience with cloud technologies, distributed systems, and AI-driven search platforms is necessary.

Responsibilities

The Cloud Support Engineer will act as a technical resource for customers, addressing complex technical challenges and ensuring customer satisfaction. They will troubleshoot and resolve issues within SaaS and private cloud environments, including AWS infrastructure and Kubernetes workloads. This role involves collaborating with support, product, and engineering teams to relay customer feedback and identify improvements. Additionally, the engineer will create and update support documentation, KEDBs, FAQs, and tutorials, and advocate for customers in internal discussions.

Skills

Cloud Support

Technical Support

Customer Satisfaction

Cloud Technologies

AlphaSense

AI-driven financial research platform

About AlphaSense

AlphaSense provides a financial research platform that uses artificial intelligence to help clients gain insights into various companies, industries, and market trends. Users can search through a vast library of over 300 million documents, which includes both external and proprietary content. The AI technology streamlines the research process by automating repetitive tasks, allowing clients to concentrate on analyzing the information instead. Additionally, AlphaSense monitors real-time data to highlight important insights, helping clients stay ahead in a rapidly changing market. Unlike its competitors, AlphaSense is particularly focused on data security, implementing advanced measures like the zero trust security model and secure data encryption. The goal of AlphaSense is to empower clients in making informed decisions, whether they are launching new products or providing strategic insights to executives.

New York City, New YorkHeadquarters

2011Year Founded

$1,248.2MTotal Funding

LATE_VCCompany Stage

Cybersecurity, AI & Machine Learning, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Company Equity

Performance Bonus

Remote Work Options

Risks

Rapid AI adoption may homogenize creative outputs, reducing unique value of insights.

Tegus acquisition poses integration challenges, potentially disrupting service delivery.

Reliance on AI exposes AlphaSense to risks of biases and inaccuracies affecting client trust.

Differentiation

AlphaSense leverages AI to provide real-time insights, enhancing decision-making speed and accuracy.

The platform's Generative Search tool offers advanced search capabilities mimicking human analysts.

AlphaSense's acquisition of Tegus expands its content library, offering unmatched insights.

Upsides

Generative AI integration enhances AlphaSense's speed and reliability of financial insights.

The Tegus acquisition significantly expands AlphaSense's content library for comprehensive insights.

AI-driven tools are essential for financial institutions, aligning with AlphaSense's offerings.

Land your dream remote job 3x faster with AI

Try Jobo Free