Senior Technical Support Engineer - Midwest

| Greater Denver Area +80 more | Remote
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Headquartered in New York City, Dataiku was founded in Paris in 2013 and achieved unicorn status in 2019. Now, more than 1,000 employees work across the globe in our offices and remotely. Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI. 


Dataiku is looking for an experienced Technical Support Engineer to join its rapidly growing global Support team. Based out of North America, you will be supporting the deployments of its Everyday AI Platform (Dataiku) to an ever growing and diverse customer base. 

As a senior-level Technical Support Engineer, you will have the opportunity to showcase your skills as a polished communicator and a trusted technical resource along with being able to demonstrate excellent judgment in prioritization and multitasking. Furthermore, we are looking for someone who loves learning new cutting-edge technologies and getting their hands dirty to solve challenging technical problems, and is naturally driven to become an expert in the space. 

Our ideal candidate is an autonomous individual who is passionate about getting big data and data science technologies working together to solve business problems, and who will efficiently help customers solve their technical issues with Dataiku. If you are interested in staying at the bleeding edge of data and AI while also having the opportunity to join a rapidly growing startup as we look to take our support operation global, this will be a great fit for you. 

In this role you'll help the team:
    • Provide technical solutions and respond to technical requests from customers through a variety of different communication channels 
    • Manage and resolve support issues with a high degree of technical complexity
    • Act as a liaison between clients and other Dataiku teams (such as Customer Success, Engineering, Data Science, etc.) to help deliver a fast and efficient resolution to issues or questions that have been raised by our end users 
    • Improve efficiencies by documenting and standardizing support processes along with capturing or developing best practices 
    • Develop tools that will help in diagnosing, resolving, and triaging hard-to-get-at problems
    • Document knowledge in the form of incident notes, technical articles, and contributions to knowledge bases or forums within specific areas of expertise
    • Follow-up on customer commitments in a timely manner, balancing effectively both processes with the need to adapt to the situation, along with relaying lessons learned and feedback internally to our other client-facing and technical teams
You might be a strong fit if you have:
    • A strong competency in technical problem solving, with demonstrated experience working with advanced log analysis and other debugging techniques 
    • At least 4-6 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product
    • Proficiency working with Unix-based operating systems
    • Hands-on experience with Python and/or R
    • Working knowledge of various cloud technologies (AWS, Azure, GCP, etc.)Comfort working with and reading customer code
    • Experience working with at least one type of relational database and SQL 
    • Grit when faced with technical issues - you don’t rest until you understand what is happening and why things are not working 
    • Excellent problem solving and analytical skills with an aptitude for learning new technologies
    • Strong communication skills and the ability to interface with both technical and non-technical individuals as needed 
    • Ability to be autonomous, resourceful, and a proactive self-starter, while also remaining process-oriented and a team player 
Bonus points for any of these:
    • Experience working with a multitude of analytics and big data technologies (such as Hadoop, Spark, Docker/K8s, and various other database or BI technologies)
    • Experience with authentication and authorization systems like LDAP, SAML, and Kerberos


#LI-Remote

 

About Dataiku:

 

Dataiku is the platform for Everyday AI, systemizing the use of data for exceptional business results. By making the use of data and AI an everyday behavior, Dataiku unlocks the creativity within individual employees to power collective success at companies of all sizes and across all industries. Don’t get us wrong: we are a tech company building software. Our culture is even pretty geeky! But our driving force is and will always remain people, starting with ours. We consider our employees to be our most precious asset, and we are committed to ensuring that each of them gets the most rewarding, enjoyable, and memorable work experience with us. Fly over to Instagram to learn more about our #dataikulife.

 

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [email protected]

More Information on Dataiku
Dataiku operates in the Analytics industry. The company is located in New York, NY, Denver, CO, Chicago, IL and Raleigh, NC. Dataiku was founded in 2013. It has 1000 total employees. It offers perks and benefits such as Volunteer in local community, Partners with nonprofits, Open door policy, OKR operational model, Team based strategic planning and Open office floor plan. To see all 4 open jobs at Dataiku, click here.
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