Data Solutions Engineer

Abaka AI • Mountain View, CA

7d • $110,000 - $160,000

About The Position

As a Data Solutions Engineer at Abaka AI, you will help bridge technical execution and customer needs across AI data projects. This role sits at the intersection of solutioning, operations, and technical problem solving, supporting frontier AI companies building next-generation multimodal systems. You will work closely with clients, Project Managers, Operations, Research, and leadership teams to design scalable data workflows, scope technical requirements, and support successful project execution. This role is ideal for someone who enjoys solving ambiguous problems, communicating across technical and non-technical stakeholders, and building operational systems in fast-moving startup environments. This is a highly cross-functional role with exposure to AI infrastructure, multimodal datasets, data operations, and customer-facing solution engineering.

Requirements

• 1–4 years of experience in Solutions Engineering, Data Operations, Technical Program Management, Analytics, Consulting, AI Operations, or related fields
• Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders
• Highly organized with strong problem-solving abilities and attention to detail
• Comfortable operating in fast-paced startup environments with evolving priorities
• Interest in AI, machine learning, multimodal systems, or data infrastructure

Nice To Haves

• Familiarity with SQL, Python, scripting, APIs, spreadsheets, or workflow automation tools is a plus
• Experience working cross-functionally with technical and operational teams preferred

Responsibilities

• Partner with clients and internal stakeholders to understand project requirements and define scalable data workflows
• Translate customer needs into operational plans, technical specifications, and execution strategies
• Support AI data projects across image, video, audio, text, reasoning, and multimodal domains
• Troubleshoot dataset quality issues and identify workflow improvements
• Collaborate cross-functionally with Project Management, Operations, Research, GTM, and Engineering teams
• Assist with dataset reviews, QA processes, delivery validation, and project health tracking
• Build or improve lightweight internal tooling, automations, and operational systems
• Support presales conversations by helping scope project feasibility, timelines, and technical requirements
• Develop a strong understanding of frontier AI workflows, benchmarks, and model development needs
• Contribute to internal documentation, process standardization, and operational scalability

Benefits

• health
• dental
• vision
• PTO
• flexible work schedule
• equity

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed