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Technical Instructor

unlimited holidays - extra parental leave - fully flexible
Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in a related field., 2-4 years of technical instruction experience., Strong engagement and teaching skills., Experience developing curricula..

Key responsabilities:

  • Deliver live instruction and training sessions.
  • Create an engaging curriculum for learners.
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dbt Labs Scaleup https://www.getdbt.com/dbt-labs/about-us/
201 - 500 Employees
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Job description

About Us

Since 2016, dbt Labs has been on a mission to help analysts create and disseminate organizational knowledge. dbt Labs pioneered the practice of analytics engineering, built the primary tool in the analytics engineering toolbox, and has been fortunate enough to see a fantastic community coalesce to help push the boundaries of the analytics engineering workflow. Today there are 30,000 companies using dbt every week, 100,000 dbt Community members, and over 4,100 dbt Cloud customers. You can learn more about our values here.
 

We’re seeking a Technical Instructor with a passion for teaching and working with data to join our training team to develop curriculum and deliver instruction focused on the the dbt Cloud.

In this role, you can expect to:
  • Deliver live, world-class instruction to train and onboard dbt Cloud customers, partners, and GSIs in small (~10), large groups (up to ~30) and webinar audiences (50 - 200)
  • Create an engaging learning environment initially in a remote context (on Zoom!) and likely in person in the future
  • Get learners excited about using dbt Cloud to make an impact at their organization
  • Clearly teach and demo new concepts and skills for learners
  • Facilitate live co-development sessions where learners apply what they have learned
  • Adjust instruction on the fly while focusing on learner outcomes
  • Provide critical feedback from your classroom experience to improve curriculum changes
  • Become a product expert with dbt in the context of the modern data stack (if you aren’t already)
  • Build curriculum independently
  • Gather and implement feedback and self-review teaching
You are a good fit if:
  • Bachelor's degree in a related field (Computer Science, Data Analytics, Education, or similar).
  • 2-4 years of technical instruction or related experience.
  • You love teaching and creating those lightbulb moments for learners
  • You create learning environments with high levels of engagement
  • You are laser focused on learner and customer outcomes while adjusting instruction on the fly - our customers are coming to use our product from varied tooling and skillsets
  • You believe teaching is a craft that we can always get better at and actively seek out feedback
  • You communicate clearly and concisely with internal and external stakeholders
  • You thrive in an environment of cross-collaboration that moves quickly
  • You have experience developing curricula and shipping courses fast
You'll have an edge if:
  • You have worked on customer education / training teams and know how training can drive outcomes for customers.
  • You have experience using dbt and/or teaching dbt.
  • You have experience writing analytics code (i.e. python, R, etc.) in addition to SQL and working with databases
  • You have experience designing curricula with a focus on backwards design.
  • dbt Fundamentals badge
Compensation & Benefits
  • Competitive Salary
  • Equity Stake
  • Benefits: Unlimited vacation, 401k with a 3% guaranteed contribution, excellent healthcare, office and cell/internet stipends, and paid parental leave
What to expect in the hiring process:
  • Interview with a Talent Acquisition Partner
  • Interview with Hiring Manager (Technical Instructor Manager)
  • After that we’ll ask you to live teach a 15 minute lesson to see your teaching in action
  • Team interviews with current instructors and our VP, Customer Services

Who we are

At dbt Labs, we have developed strong opinions on how companies should practice analytics.

Specifically, we believe that:

  • Code-based transformations offer unmatched flexibility and transparency across various “multi-player” development to power everyone in the organization to collaborate on a common language
  • Data analysts should adopt similar practices and tools to software developers
  • Critical analytics infrastructure should be controlled by its users as open source software
  • Analytic code itself — not just analytics tools — will increasingly be open source

It turns out that a lot of other people believe this too! Today, there are 30,000 companies using dbt every week, 100,000 dbt Community members, and 4,100 companies paying for dbt Cloud. Our customers include JetBlue, Hubspot, Vodafone New Zealand, and Dunelm. dbt is synonymous with the practice of analytics engineering, defining an entire industry. We’re backed by top investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. 

dbt Labs is an equal opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, color, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. We feel strongly that whether or not your experience exactly fits the job description, your passion and skills will stand out and set you apart even if your career has taken some twists and turns.  If you are on the fence about whether you meet our requirements, we encourage you to apply anyway! Please reach out to us directly at recruiting@dbtlabs.com if you need assistance or an accommodation

Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page here

dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. Equity or comparable benefits may be offered depending on the legal or country limitations.

 

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
French
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Engagement Skills

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