Solutions Architect

Role: Solutions Architect

Reports to: Sr. Manager

Department: TAMS/SA

Location: Remote- US

Job Type: Full Time, Exempt

Help us Deliver Technology for Human Sensemaking 

Anaconda is the world’s most popular data science platform. With more than 26 million users, the open source Anaconda Distribution is the easiest way to do data science and machine learning. We pioneered the use of Python for data science, champion its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open source for competitive advantage and groundbreaking research.

Anaconda is seeking people who want to play a role in shaping the future of enterprise machine learning, and data science. Candidates should be knowledgeable and capable, but always eager to learn more and to teach others. Overall, we strive to create a culture of ability and humility and an environment that is both relaxed and focused. We stress empathy and collaboration with our customers, open-source users, and each other. 

Here is why people love most about working here: We’re not just a company, we’re part of a movement. Our dedicated employees and user community are democratizing data science and creating and promoting open-source technologies for a better world, and our commercial offerings make it possible for enterprise users to leverage the most innovative output from open source in a secure, governed way.

Summary

Anaconda is seeking a talented Solutions Architect to join our rapidly-growing company focusing on the government vertical. This is an excellent opportunity for you to leverage your skills and apply it to the world of data science and machine learning.

What You’ll Do:

• Train the Sales Engineering team as appropriate on Anaconda products and services
• Support the Sales Engineering team as they propose solutions an explain architecture, sizing, and integration advice to prospects
• Guide customers in understanding and fulfilling implementation prerequisites
• Serve as an escalation point for the implementation team for advanced integration cases
• Provide internal documentation for integration steps and procedures
• Serve alongside the product engineering team as an escalation point for complex enterprise support requests
• Develop technical artifacts that influence how our products are consumed and used
• Develop code, runbooks, and documentation for custom integrations of our enterprise products with strategic third-party products
• Document and communicate product feedback to the product management team, mapping customer requirements to current and future offerings
• Provide and review content for customer facing technical communications
• Be a primary source for best practice on infrastructure, product approach, and market voice in data science for both our internal teams and external customers
• Develop ways to scale your knowledge and expertise out to cross functional teams including product, services, and sales engineering

What You Need:

• Undergraduate degree in STEM field
• 5+ years of experience in the Solution Architecture or Technical consulting space
• Comfort with at least one cloud infrastructure provider (AWS, Azure, Google)
• Working knowledge of Docker and Kubernetes
• Knowledge of the Python data science ecosystem
• Ability to learn and assimilate technical information quickly
• Strong written and spoken communication skills
• Ability to travel up to 20%
• Demonstrated flexibility, organization and self-motivation
• Team attitude: “I am not done, until WE are done”

What Will Make You Stand Out:

• IaaS and software infrastructure experience
• Software development lifecycle experience
• Working with Helm charts
• Working with virtual machines

Why You’ll Like Working Here:

• Unique opportunity to translate strong open source adoption and user enthusiasm into commercial product growth
• Dynamic company that rewards high performers
• On the cutting edge of enterprise application of data science, machine learning and AI
• Collaborative team environment that values multiple perspectives and clear thinking
• Employees-first culture
• Flexible working hours
• Medical, Dental, Vision, HSA, Life and 401K (US based)
• Health and Remote working reimbursement 
• Paid parental leave - both mothers a