Careers at WEKA

WEKA is transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh™, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales, providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.

WEKA is a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the world’s leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure their success. If we sound like your kind of people, join us!

About The Position:

We are seeking a highly skilled and analytical Customer Success Operations & Data Engineer to join our team. This role is a unique hybrid, sitting at the intersection of data engineering, business operations, and customer success. You will be the technical backbone of the CS organization, responsible for designing, building, and maintaining the systems, data pipelines, and processes that enable us to operate efficiently and make data-driven decisions. The ideal candidate is passionate about architecting scalable solutions, automating processes, and leveraging data to unlock insights into the customer lifecycle.

What You'll Be Doing:

• Data Architecture & Engineering:
• Design, build, and maintain robust and scalable data pipelines (ETL/ELT) to consolidate customer data from various sources into our central data warehouse.
• Develop and manage data models within the CS data ecosystem to support analytics, reporting, and operational workflows.
• Own the data integrity and quality for all customer-related metrics, ensuring accuracy and reliability for business-critical reporting.
• Operations & Systems Management:
• Administer and optimize our Customer Success tech stack (e.g., Salesforce, Pager Duty, Notion, etc.), managing integrations, and ensuring seamless data flow between systems.
• Identify operational bottlenecks and design automated solutions to improve the efficiency and effectiveness of the Customer Success team.
• Develop custom tools and solutions that empower the CS team to seamlessly ingest customer data, build a comprehensive view of the customer journey, and help diagnose and resolve customer issues more efficiently..
• AI & Advanced Analytics Integration:
• Lead projects to evaluate, implement, and operationalize AI/ML tools to drive predictive insights, such as churn risk, expansion opportunities, and customer sentiment analysis.
• Build the infrastructure required to support advanced analytics and the deployment of AI-powered tools within the CS workflow.

Desired Qualifications:

• 1-3 years of experience in a data engineering, business intelligence, or technical operations role.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience.
• Advanced proficiency in SQL and experience with data warehousing solutions (e.g., BigQuery, Snowflake, Redshift).
• Strong experience with at least one programming language for data manipulation and automation, such as Python or R.
• Proven experience building and maintaining ETL/ELT pipelines and managing data integrations between different SaaS platforms.
• A strong operational mindset with a passion for process improvement, automation, and scalability.
• Excellent analytical and problem-solving skills, with the ability to translate business needs into technical solutions.
• A deep sense of intellectual curiosity and a proactive drive to explore data, understand customer challenges, and uncover new opportunities for improvement.

Nice to Haves:

• Experience working directly within or supporting a Customer Success or Post-Sales organization.
• Familiarity with data visualization and business intelligence tools (e.g., Tableau, Looker, Power BI, Oracle Analytics).
• Experience implementing or working with AI/ML-powered business tools.

How We Work: The WEKA Way

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation. 
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and we communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and the results we achieve. Together, we’re unstoppable. 
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.
  
  

Concerned you don’t meet every qualification? Don’t let it stop you from applying!
Studies have shown that traditionally underrepresented groups may be less likely to apply for jobs if they don’t meet every qualification specified. WEKA is committed to building a diverse, inclusive, and authentic workplace. If you are excited about this position but are concerned your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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.