Pre-Sales Data Architect, DataStax
$204-306k
OTE
75/25 Split
Travel up to 25% of the time
Open, multi-cloud stack for modern data apps
Job no longer available
Open, multi-cloud stack for modern data apps
201-500 employees
Job no longer available
$204-306k
OTE
75/25 Split
Travel up to 25% of the time
201-500 employees
Company mission
To make it possible for developers and companies to build GenAI applications that can match the scale of their ambition.
Role
Who you are
- Experience influencing and inspiring customer selection of software or technology
- Extensive experience in a specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, data & analytics)
- Strong public cloud computing experience
- Experience creating and deploying GenAI/Vector Search and/or other AI/ML solutions (e.g. for training, tuning, and inference)
- Software development experience (e.g. Python, Node.js/JavaScript/TypeScript, Go, Rust, Java, R)
- Design, implementation, and/or consulting experience in application and data-driven infrastructure (database, streaming, etc.)
- Teaching and mentoring customers and those you work with (and you enjoy this)
- Ability to think creatively and solve problems
- Comfortable working in a fast-paced, highly collaborative, dynamic, and remote work environment
- Working knowledge of deep learning, machine learning and statistics
- Exceptional communication and data presentation skills
What the job involves
- As a Data Architect, you inspire our prospects and customers to invest their time and energy in new technologies and approaches
- In partnership with account executives, you work to qualify, educate, and lead the design and adoption of the DataStax Astra platform for customers solutions
- You are on the customer front-line, providing deep, technical expertise and enthusiastically sharing this knowledge in front of others externally and internally
- You will own the technical relationships with customers as they modernize and realize business value over time
- You will use your technical acumen and passion for data-driven, generative AI and vector search solutions to inspire customers you work with to utilize Astra for their real-time AI and data use cases
- This is how DataStax defines our technical pre-sales roles
- Discover and learn customer AI and data strategy, objectives, projects and what they are trying to achieve. Understand if/how DataStax solutions would bring value to the use case
- Demonstrate how DataStax Astra solutions would support the customers AI and data modernization strategy and achieve transformational outcomes
- Discover new, quality opportunities, leveraging relationships with the customer base and interactions with broader technical communities (e.g. Meetups)
- Qualify technical requirements and effectively articulate DataStax's ability to meet these needs
- Provide guidance on best practices for using DataStax Astra solutions, identifying areas for improvement within the platform, and cultivating technical champions within customer organizations who will drive adoption. Gather feedback to enhance DataStax products
- Deliver hands-on developer and architectural interactions remotely or on-site at customer locations
- Lead customers through technical Proofs of Concept that showcase the technical and business value of our platform
- Collaborate with account executives to develop account strategies and plans
- Take ownership of the customer narrative, serving as the voice of the customer and providing feedback to the product and engineering teams
- Help build a culture of knowledge sharing in a fast-paced startup environment
- Embrace learning new technologies and stay abreast of the AI and distributed computing landscape
- Work remotely and travel up to 25% of the time
Our take
As enterprises modernise their legacy applications and clamber to use cloud services, they require data stores that are both vertically and horizontally scalable across clouds, datacentres and geographies.
DataStax is one company tackling this, offering support services for the NoSQL database, a commercial version of the Apache Cassandra database, and a database-as-a-service platform called Astra. And the company has an impressive list of enterprise clients too, including Bank of America, CapitalOne, Disney, Starbucks, and McDonald’s.
DataStax plans to expand its partner network in more ASEAN markets, while it also looks to move beyond its core product – a sentiment reinforced by the company’s acquisition of cloud messaging service Kesque and machine learning company Kaskada. The latter indicates a growing focus on generative AI features in its enterprise database offerings off the back of its $115 million funding round.
Steph
Company Specialist at Welcome to the Jungle
Insights
-15% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jun 2022
$115m
LATE VC
May 2021
$37.6m
LATE VC
Total funding: $451m
Company benefits
- Fully Covered Health Insurance
- Paid Parental Leave
- Generous Paid Time Off
- Wellness Program
- Remote Friendly Distributed Workforce
- Ergonomic Home Office
- Mental Wellness Program
Company HQ
Santa Clara, CA
Leadership
Chet Kapoor
(CEO & Chairman)Previously a VP at Google and IBM and CEO of Apigee. Joined Datastax in 2019.
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