远程工作雷达

企业解决方案工程师 - 中部

Enterprise Solution Engineer - Central

开发工程市场运营限定地区(需当地身份)与中国几乎无重叠,需长期倒时差
公司Sigma Computing
薪资$160,000 - $180,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求与中国几乎无重叠,需长期倒时差
用工类型permanent
发布时间18 天前
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:与中国几乎无重叠,需长期倒时差。

Sigma的愿景是创造一个以洞察力驱动的世界,让数据让人们、组织,最终让人类变得更好。在Sigma,我们正在构建一个云原生的商业智能平台,让用户能够访问托管在云端的最大数据库,并在几秒钟内轻松进行即席分析,以获得业务洞察。无需任何SQL编程。我们正在扩大解决方案工程团队,寻找一位解决方案工程师,帮助重新定义我们客户的商业智能格局。你将加入一个才华横溢的解决方案工程师团队,共同致力于真正让数据访问变得简单,以推动业务成果。

Sigma的解决方案工程师相信分析的力量可以改变组织,发现新的数据洞察,提高业务敏捷性。Sigma的解决方案工程师将成为我们的潜在客户和客户的可信赖顾问,与销售、业务发展、产品管理、工程和客服紧密合作。该职位最终负责管理和完成所有与技术售前相关的活动,包括演示、展示和原型的现场开发。你将与我们的区域销售经理(企业)密切配合,专注于新客户和现有客户的销售。

**你将从事的工作**

- 理解并挖掘客户面临的业务挑战和问题,并能够开展有针对性的发现会议或研讨会
- 与业务用户合作,定义、创建并展示解决方案原型
- 为客户提供、展会和网络研讨会定制演示
- 能够自信地向组织中的各个层级阐述Sigma平台的业务价值
- 回应RFP/RFI中的产品、技术和安全相关问题
- 参与产品、销售和相关技术认证,以获取、保持和提升技能
- 作为团队成员,积极贡献、学习并分享新知识
- 熟悉集成和数据迁移方法,以促进企业型销售流程
- 同时管理多个客户项目
- 达成管理层分配的季度和年度目标
- 成为Sigma的倡导者和产品专家,潜在客户和客户会向你寻求建议和专业知识

**我们需要的资格**

- 至少5年的商业智能经验
- 客户成功经验

查看英文原文

Sigma’s vision is to create an insight-driven world where people, organizations, and, ultimately, humanity are transformed for the better by data. At Sigma, we are building a cloud-native business intelligence platform that allows users to tap into their biggest databases hosted in the cloud and easily conduct ad hoc analysis to gain business insights in seconds. All without any SQL programming. We are growing the Solution Engineering team and are looking for a Solution Engineer who will help redefine the business intelligence landscape for our customers. You will join a talented team of Solution Engineers with a shared mission to truly make data access easy to drive business results.

The Sigma Solution Engineer believes in the power of analytics to transform organizations and uncover new data insights to increase business agility. The Sigma Solution Engineer will act as the trusted advisor to our prospects and customers working in tandem with Sales, Business Development, Product Management, Engineering, and Support. This individual is ultimately responsible for managing and delivering on all activities related to the technical presales cycle. This includes presentations, demonstrations, and hands on development of prototypes.  You will align closely with our field Regional Sales Managers (Enterprise)  focused on sales in new and existing accounts.

**What You Will Be Doing**

- Understand and uncover business challenges and issues faced by the customer and be able to run a targeted discovery sessions or workshop
- Engage with business users to define, create, and showcase solution prototypes
- Build and present customized demos for customers, trade shows, and webinars
- Confidently present and articulate the business value of the Sigma platform to all levels within an organization
- Deliver product, technical, and security related responses on RFPs/RFIs
- Participate in product, sales, and relevant technology certifications to acquire, maintain, and grow skill sets
- Work as a team player by contributing, learning, and sharing new knowledge
- Be conversant in integration and data migration approaches to facilitate enterprise-type sales cycles
- Manage multiple customer engagements concurrently
- Attain quarterly and annual objectives assigned by management
- Become a Sigma champion and product expert, prospects and customers will look to you for advice and expertise

**Qualifications We Need**

- Minimum 5 years of business intelligence experience
- Customer relationship skills
- Strong understanding of database concepts
- Cloud data warehouse experience - Snowflake, Redshift, BigQuery
- ETL experience - Fivetran, Matillion or traditional ETL
- Excellent organizational skills and ability to multitask in a fast-paced startup environment
- Experience implementing production business intelligence solutions or proof of concepts
- Bachelor’s degree in computer science or related field or equivalent technical & business experience
- 25% Travel

**Qualifications We Want (also, skills you’ll learn!)**

- Experience at a SaaS company or with cloud architectures
- Experience with data analytics business use cases
- Startup experience

**Additional Job Details**

The base salary for this position is $160,000 –$180,000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.

**About Sigma**

Sigma is a modern analytics & business intelligence (BI) application built for the cloud. Trusted by data-first companies, Sigma provides live access to cloud data warehouses using an intuitive spreadsheet interface—empowering business experts to ask more of their data without writing a single line of code. With the full power of SQL, the cloud, and a familiar interface, business users have the freedom to analyze data in real time without limits. Sigma is self-service analytics as it was meant to be: a single source of truth that eliminates data extracts, simplifies analysis, and drives BI adoption at every level of business. Sigma is closing the gap between data teams and business experts. To learn more about Sigma, visit www.sigmacomputing.com or join the conversation on Twitter @SigmaComputing.

**About us:**

Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadsheet interface, SQL, Python, and native AI in a single governed workspace, giving every team the speed to act and IT the control to scale. Sigma is trusted by more than 2,000 customers, including AMD, Duolingo, Colgate-Palmolive, and JPMorgan Chase.

Sigma announced its $80M in Series E financing in May 2026. The round was led by Princeville Capital, with new strategic investors Databricks Ventures, ServiceNow Ventures, and Workday Ventures participating alongside returning investors Altimeter Capital, Avenir Growth Capital, D1 Capital Partners, K5 Global, NewView Capital, Spark Capital, Sutter Hill Ventures, and XN. This milestone follows Sigma reaching $200M in annual recurring revenue in April 2026, with more than 100% year-over-year growth and 1.1 million new active users added in the latest fiscal year.

Come join us!

##### Benefits For Our Full-Time Employees:

- Equity
- Generous health benefits
- Flexible time off policy. Take the time off you need!
- Paid bonding time for all new parents
- Traditional and Roth 401k
- Commuter and FSA benefits
- Lunch Program
- Dog friendly office

Sigma is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, veteran, or any other protected status. We look forward to learning how your experience can enable all of us to grow.

_**Note:** We have an in-office work environment in all our offices in SF, NYC, London and Sydney. All roles have a 25% travel expectation unless explicitly stated otherwise._

**Our Privacy Practices**

When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma’s [Candidate Privacy Notice](https://www.sigmacomputing.com/legal/candidate-privacy-notice) for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to the USA, the UK, and Canada, Australia).

**Sigma’s use of AI**

This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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