Technical Customer Success Manager

Datacoves; Colombia; On-site; COP 249,930,000 - 374,895,000; Full time

Benefits offered by this job

Good work-life balance

Paid time off

Unlimited unpaid time off

Competitive salary

Job summary

A growing tech company is seeking a motivated Technical Customer Success Manager to enhance user experience and provide support. This remote role requires familiarity with dbt, Git, SQL, and Python. Key responsibilities include onboarding customers, delivering technical support, and creating educational content. Ideal for candidates who thrive in fast-paced environments. Competitive salary and solid work-life balance offered.

Qualifications

• Solid technical skills in dbt, Git, SQL, and Python.
• Strong communication and empathy.
• Excellent verbal and written English.
• Ability to break down technical concepts clearly.
• Comfort operating in a fast-moving startup environment.

Responsibilities

• Guide new customers through onboarding and platform setup.
• Deliver responsive, technical support via various channels.
• Lead training sessions and Q&As.
• Write and maintain user-friendly documentation.
• Create technical how-to guides and educational videos.
• Create technical how-to guides, blog posts, and walkthroughs
• Help develop and record short-form educational videos and tutorials
• Occasional travel required (1–2 conferences per year, with limited travel)

Skills

dbt

Git

SQL

Python

Technical communication

Empathy

Tools

Apache Airflow

Snowflake

Redshift

Databricks

BigQuery

Job description

Datacoves is looking for a motivated Technical Customer Success Manager to join our growing team!

This is a technical role, in which you MUST be familiar with dbt, Git, SQL and Python. You’ll be the bridge between our platform and our users—guiding customers through onboarding, offering top-tier support, delivering training, and creating educational content to help them get the most out of Datacoves.

This is a high-impact role at a fast-paced startup where you’ll wear many hats, contribute across teams, and help shape the customer experience from day one.

This is a remote position for people based in North America, Central America, the Caribbean or Colombia with full-time dedication and availability during Eastern Time Zone working hours

Responsibilities

• Guide new customers through onboarding and platform setup
• Deliver responsive, technical support (Slack, MS Teams, email, and conference calls)
• Lead training sessions and Q&As to ensure customer success
• Coordinate meetings across time zones and manage your schedule effectively
• Write and maintain user-friendly documentation in Datacoves Docs
• Create technical how-to guides, blog posts, and walkthroughs
• Help develop and record short-form educational videos and tutorials
• Occasional travel required (typically 1–2 conferences per year, with limited additional travel)

Required Qualifications

• Solid technical skills in dbt, Git, SQL, and Python
• Strong communication and empathy—you enjoy helping people succeed
• Excellent Verbal and Written EnglishExcellent time management and organizational skills
• Ability to break down technical concepts into clear, digestible content
• Comfort operating independently in a fast-moving startup environment

Preferred Qualifications

• Experience with Apache Airflow or other tools in the modern data stack
• Prior experience in a customer success, solutions, or technical support role
• Familiarity with cloud data platforms (Snowflake, Redshift, Databricks, BigQuery, etc.)

What We Offer

• An opportunity to grow and develop a long-term relationship with us in a growing field.
• A good work-life balance in a collaborative environment where the best ideas win.
• Competitive salary according to experience
• Paid time off and unlimited unpaid time off
• Direct contract with Datacoves
• 40 hours a week

Our Culture

At Datacoves there's no bureaucracy and the best ideas win. We don't believe we have all the answers, and we know we are all learning, so we welcome people who challenge our design and understand how to deliver quality software

To apply, please submit your CV and salary expectations through this post.

Seniority level

• Entry level

Employment type

• Full-time

Industries

• Data Infrastructure and Analytics

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