Pre-Sales Solutions Architect at Dataiku (Greater Denver Area, CO)

| Greater Denver Area
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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 Architect to join its Field Engineering Team as a Pre-Sales Solutions Architect. This position will support the deployment of Dataiku’s Everyday AI Platform to an ever growing customer base. 

As a Pre-Sales Solutions Architect, you’ll work with customers at the Pre-Sales stage of their relationship with Dataiku - aiding in conversations with IT and Security teams, helping customers deploy evaluation software in their environments, determining target architectures for post-sale implementations, and more. Showing our prospects that the technical team at Dataiku can be the trusted technical advisor and subject matter expert is a core component of the role. You will help customers to design and validate their future Data Science and AI Everyday Platforms, and set them up for success with Dataiku.

This role requires strong technical abilities, adaptability, inventiveness, and strong communication skills. Sometimes you will work with clients on traditional big data technologies such as SQL data warehouses and on-premise Hadoop data lakes, while at other times you will be helping them to discover and implement the most cutting edge tools; cutting-edge infrastructure deployment stacks, cloud-based elastic compute engines like Spark on Kubernetes, and deep learning on GPUs. If you are interested in staying at the bleeding edge of big data and AI while maintaining a strong working knowledge of existing enterprise systems, this will be a great fit for you.


In this role you will: 
  • Evangelize the challenges of building Enterprise Data Science Platforms to technical and non-technical audiences
  • Understand customer requirements in terms of scalability, availability and security and provide architecture recommendations
  • Deploy Dataiku in a large variety of evaluation technical environments (on prem/cloud, kubernetes, spark, hadoop …)
  • Design and build reference architectures, decks, scripts and diagrams to make the deployment and maintenance of Dataiku smooth and easy
  • Coordinate with Revenue and Customer teams to deliver a consistent experience and message to our customers
  • Train our clients and partners in the art and science of administering a bleeding-edge Elastic AI platform
  • Drive technical success by being a trusted advisor to our prospects and our internal account teams to provide the best recommendations and advance customer accounts
You might be a good fit if you have:
  • Strong Linux system administration experience
  • Hands-on experience with the Kubernetes ecosystem for setup, administration, troubleshooting and tuning
  • Experience with cloud based services like AWS, GCP, and Azure
  • Grit when faced with technical issues. You don’t rest until you understand why it does not work
  • Comfort and confidence in client-facing interactions
  • Hands-on experience with the Hadoop and/or Spark ecosystem for setup, administration, troubleshooting and tuning
  • Some experience with Python
  • Familiarity with Ansible or other application deployment tools (Terraform, CloudFormation, etc)
  • Ability to overcome security and architecture roadblocks coming from prospect IT through a deep knowledge of Dataiku and the surrounding environment
Bonus points for any of these:
  • Experience with authentication and authorization systems like LDAP, Kerberos, AD, and IAM
  • Experience debugging networking issues such as DNS resolutions, proxy settings, and security groups
  • Some knowledge in data science and/or machine learning
  • Some knowledge of Java

#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]
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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • JavaLanguages
    • PythonLanguages
    • ScalaLanguages
    • SparkFrameworks
    • TensorFlowFrameworks
    • SnowflakeDatabases
    • FigmaDesign
    • MiroDesign
    • TrelloManagement
    • HubSpotCRM
    • LinkedIn SalesNavigatorCRM
    • SalesforceCRM
    • MarketoLead Gen
    • ZoomInfoLead Gen

Location

1615 Platte St, Denver, CO 80202

An Insider's view of Dataiku

How would you describe the company’s work-life balance?

Health and family come first here. We are humans primarily and employees second, meaning we not only provide resources for employees to get the help they need, but from leadership down, we support a healthy work-life balance. On my team, I focus more on the quality of work and let the team be flexible in the hours and cadence of their schedules.

Dan

Business Development Manager

What does your typical day look like?

My day starts at 7am catching up on Slack over coffee. I bring my daughter to preschool, then get back to work. I try to make time each day to prepare for my AWS certification. I also answer emails, have planning sessions with the internal sales team and meet with prospective customers. I usually wrap up by planning out my tasks for the next day.

Heidi

Pre-Sales Field Engineer

How has your career grown since starting at the company?

I joined Dataiku 2 years ago as a Data Scientist, and now I’m a Sales Engineer! I had no idea what Sales Engineering was and never could have imagined working in sales until I joined Dataiku. I was able to learn about being an SE through our internal career bridge program and test run the role before transitioning, so I knew what to expect.

Jacqueline

Sales Engineer

How do you make yourself accessible to the rest of the team?

“I’m available any time. Call, Slack or text me— I’m always here to support you.” is something I say regularly to my team. For those early in their career, talking through each step in a sales process and understanding nuance is critical in building their “sales muscles.” As a leader, I can’t do that unless I’m extremely accessible.

Sagan

RVP of Commercial Sales, US

How has your career grown since starting at the company?

Despite its size and pace of growth, Dataiku still strongly values promoting from within and believes that folks are dynamic and adaptable. My career has grown threefold. Dataiku has provided opportunities based on my patterns of success to take on more responsibility and leadership.

Sunny

Go to Market Lead, SPM, Global Services

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