本职缺目前暂停接受应征。

Sr. Software Engineer, Full-Stack

保存
职缺超过 2 年前更新

职缺描述

Founded by two Linkedin data scientists, Tresl is a technology company that empowers DTC ecommerce brands to leverage data and send relevant, targeted messages to grow their business. To do that, we are building an intelligence platform that transforms customer data into actionable marketing recommendations and segmentation that can be used across all marketing channels.

Our story

Helping customers solve business problems with data is at the core of everything we do. Having worked 15+ years in silicon valley, we know how powerful data is for driving growth, yet most companies don’t have the money or the talent necessary to unlock the value buried in their data. We’re here to change that. We want to help anyone understand their data and know what to do next, just like having your own personal data scientist.

We are looking for highly technical individuals with a passion for entrepreneurship, who love working directly with ecommerce D2C brands by turning their data into actionable insights for marketing. The Poet meets Quant — we seek individuals who have the right combination of business acumen, technical ability, and product sense. If that sounds like you, let's talk!


About the role

Sr. Software Engineer, Full-stack will focus on building omnichannel marketing technologies and automation, with a scalable architecture optimized for performance.

Responsibilities

  • Own end-to-end product development, including developing new features, and refactoring existing features
  • Work within our existing stack (Python, Flask, Postgres, Javascript, HTML), but push the team on new technologies and implementation methodology
  • Write clean code with clear documentation. Participate in collaborative code reviews
  • Build scalable data models and query logic
  • Build integrations with external API services (email, SMS, analytics, social)
  • Jump in wherever needed — we’re a small & scrappy team!

Perks

  • Equity
  • Macbooks (keep it after 1 year)
  • Unlimited annual leaves
  • Work in the highly coveted Taipei Tech Arena with other tech luminaries
  • Flexible work schedule
  • Work with a fun, passionate international team from Silicon Valley

Please send an email with Subject: Tresl application for Sr. Software Engineer, Full-Stack with a brief intro, your resume as well as recent code samples/technical write-ups to [email protected]

职务需求

About you:

  • 5+ years experience in a technical role
  • Proficiency with Python, SQL, Javascript, and/or related technologies
  • Strong written and verbal English communication skills
  • Proactive, good interpersonal and problem-solving skills

Preferred Skills

  • Familiar with AWS and serverless architecture
  • Familiar with data ETL and query optimization
  • Familiar with scalable analytics data service architecture
  • Familiar with continuous integration & test coverage

查看所有职缺
查看所有职缺
保存
1
1,000,000 ~ 2,000,000 TWD / 年
选择性或弹性远端工作
您的邀请连结
这是您专属的职缺邀请连结。当有人透过您的邀请连结应征这个职缺时,您会收到 email 通知。
分享职缺
Logo of 巨數分析股份有限公司 Tresl Analytics.

关于我们

Founded by two Linkedin data scientists, Tresl is a technology company that empowers DTC ecommerce brands to leverage data and send relevant, targeted messages to grow their business. To do that, we are building an intelligence platform that transforms customer data into actionable marketing recommendations and segmentation that can be used across all marketing channels.

Our story

Helping customers solve business problems with data is at the core of everything we do. Having worked 15+ years in silicon valley, we know how powerful data is for driving growth, yet most companies don’t have the money or the talent necessary to unlock the value buried in their data. We’re here to change that. We want to help anyone understand their data and know what to do next, just like having your own personal data scientist.

Why work with us?

We are looking for highly technical individuals with a passion for entrepreneurship, who love working directly with ecommerce D2C brands by turning their data into actionable insights for marketing. The Poet meets Quant — we seek individuals who have the right combination of business acumen, technical ability, and product sense.

Founders

    John Chao, CEO
    M.Sc. Statistics, Stanford University
    Sr. Manager Data Science, LinkedIn
    Demand Science Manager, IBM DemandTec

    Tony Yin, CTO

    BS in CS & Economics, UChicago
    Sr. Data Scientist, LinkedIn
    Quantitative Trader, Optiver


    团队

    Avatar of the user.