Solution Architect

<div class="content-intro"><p>Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for automating and accelerating enterprise analytics. With the data warehousing market expected to grow to $51B annually by 2028, Keebo is an industry innovator,&nbsp; as the only fully-automated Snowflake optimizer, adjusting dynamically to save many customers 25% and more.</p> <p>Built on state-of-the-art in machine learning and artificial intelligence, and over 15 years of cutting-edge research at top universities, Keebo reduces tedious and months-long manual operations to a matter of minutes, freeing up data teams to work on improving their core business. Our team is spread across the globe, supporting customers worldwide.</p></div><p><strong>About the Opportunity</strong></p> <p><strong data-start="69" data-end="108">We are hiring a Solutions Architect</strong> to partner with customers, sales, and product to design scalable, secure, and high-performing solutions using our data warehouse tooling. You will act as a trusted technical advisor, translating customer needs into well-architected solutions and ensuring successful implementations in a fast-moving startup environment.</p> <p><strong>You Will</strong></p> <ul> <li>Partner with customers to understand technical requirements and data architecture</li> <li>Design and present tailored solutions during pre- and post-sales engagements</li> <li>Guide customers through implementation, optimization, and best practices</li> <li>Collaborate with product and engineering to relay customer feedback</li> <li>Support sales with technical evaluations, demos, and solution design</li> </ul> <p><strong>You Have</strong></p> <ul> <li>Experience in a Solutions Architect, Sales Engineer, or similar role</li> <li>Strong understanding of data warehouses, SQL, and modern data stacks</li> <li>Experience designing cloud-based, scalable architectures</li> <li>Ability to communicate complex technical concepts clearly</li> <li>Comfort working cross-functionally in a fast-paced environment</li> </ul> <p><strong>Nice to Have</strong></p> <ul> <li>Startup experience</li> <li>Hands-on experience with cloud data platforms</li> <li>Background in data engineering or analytics</li> </ul> <p><strong>Our Environment</strong><br><br>Keebo is a fully remote, global team with team members currently in the US, EU, and Canada.</p><div class="content-conclusion"><p><strong>What we Offer</strong></p> <p>Working with a world-class team of researchers and engineers in machine learning to turn Al algorithms into scalable and automated cloud products</p> <p>For full-time positions:</p> <ul> <li>Competitive salary packages</li> <li>Equity</li> <li>Home office stipend</li> <li>Comprehensive medical, dental, and vision benefits</li> <li>401k retirement program</li> <li>Annual company offsite (this year the team met up in Cancún, Mexico!)</li> <li>Paid time off</li> <li>Paid parental leave</li> </ul> <p>Keebo is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, gender, national origin, age, disability, genetic information, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We strive to create a diverse and inclusive workplace where everyone feels valued and respected. We encourage individuals from all backgrounds to apply.</p></div>