Sales Engineer, Commercial

United States

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$150,000 – $200,000Compensation

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

Full TimeJob Type

UnknownVisa

Cloud Computing, Fintech, SaaSIndustries

Requirements

Candidates must have a strong technical background with over 3 years of industry experience and at least 1 year in a Sales/Solutions Engineering role for a SaaS business. Hands-on experience building and deploying to cloud infrastructure using multiple services from major cloud providers (AWS, Azure, GCP) and vendors such as Datadog, MongoDB, Databricks, Snowflake, Fastly, Kubernetes, NewRelic, OpenAI, Oracle, Confluent, Splunk, Twilio, PlanetScale, or Fly.io is required. The ideal candidate is a professional who can represent the company well to customers, loves technical infrastructure, and enjoys regular customer interaction, expecting to spend over 50% of their time with clients.

Responsibilities

The Sales Engineer will serve as a trusted advisor and subject matter expert to aligned accounts, technical teams, and business stakeholders, exhibiting strong communication skills to influence decisions through presentations, demos, and technical engagements. They will partner with Account Executives to communicate Vantage's value proposition, vision, and strategy to customers, owning the technical validation of proposed solutions and understanding the customer's journey. Responsibilities include proactively engaging with the product team to prioritize features based on market input, communicating and following up with customers on technical details via Zoom, Slack, and email, and driving technical escalations by partnering with cross-functional teams like engineering, product management, and customer success. A deep understanding of Vantage, its supported integrations, and the FinOps space must be established and maintained.

Skills

Cloud Cost Management

FinOps

AWS

Snowflake

MongoDB

Kubernetes

Technical Sales

Customer Interaction

Infrastructure

Vantage

Cloud cost management and optimization platform

About Vantage

Vantage.sh is a platform designed to help businesses manage and optimize their cloud costs. It provides tools for creating detailed reports on cloud expenditure, allowing users to filter and group costs by various dimensions, set monthly budgets, and receive alerts when spending exceeds those budgets. The platform supports multiple cloud providers and offers in-depth resource-level analytics, enabling users to track costs across different subscriptions and projects. A standout feature is its Kubernetes cost optimization, which helps users allocate costs by service and identify areas for efficiency. Vantage.sh operates on a self-serve model, making it easy for businesses to start using the service and save on costs, charging a low fee of 5% of the savings generated. The goal of Vantage.sh is to provide businesses with a clear understanding of their cloud spending and help them find opportunities for cost reduction.

New York City, New YorkHeadquarters

2020Year Founded

$23.8MTotal Funding

SERIES_ACompany Stage

Data & Analytics, Enterprise SoftwareIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Company Equity

Professional Development Budget

Risks

Increased competition from new entrants like Tech1M in the cloud cost management space.

Potential over-reliance on major cloud providers could lead to vulnerabilities.

Rapid technological advancements in AI may require continuous innovation to stay competitive.

Differentiation

Vantage supports a wide range of cloud providers, including AWS, Azure, and Google Cloud.

The platform offers unique Kubernetes cost optimization and visibility features.

Vantage operates on a self-serve model with an industry-low fee of 5% of savings.

Upsides

Growing demand for cloud cost management tools as businesses adopt multi-cloud environments.

Increased interest in FinOps practices aligns with Vantage's cost optimization mission.

The rise of AI workloads presents opportunities for AI-specific cost optimization features.

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