- Salary
- $110k – $160k
- Location
- Mountain View, CA · Mountain View, California, United States
- Department
- Business Development
- Experience
- 1+ years
- Source
- Greenhouse
Description
About Abaka AI
Abaka AI is built on one mission: to be the world’s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley—and teams in Paris, Singapore, and Tokyo—we support global partners with fast, reliable, and scalable data solutions.
Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.
About the Role
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.
Responsibilities
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Partner with clients and internal stakeholders to understand project requirements and define scalable data workflows
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Translate customer needs into operational plans, technical specifications, and execution strategies
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Support AI data projects across image, video, audio, text, reasoning, and multimodal domains
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Troubleshoot dataset quality issues and identify workflow improvements
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Collaborate cross-functionally with Project Management, Operations, Research, GTM, and Engineering teams
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Assist with dataset reviews, QA processes, delivery validation, and project health tracking
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Build or improve lightweight internal tooling, automations, and operational systems
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Support presales conversations by helping scope project feasibility, timelines, and technical requirements
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Develop a strong understanding of frontier AI workflows, benchmarks, and model development needs
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Contribute to internal documentation, process standardization, and operational scalability
Qualifications
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1–4 years of experience in Solutions Engineering, Data Operations, Technical Program Management, Analytics, Consulting, AI Operations, or related fields
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Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical stakeholders
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Highly organized with strong problem-solving abilities and attention to detail
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Comfortable operating in fast-paced startup environments with evolving priorities
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Interest in AI, machine learning, multimodal systems, or data infrastructure
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Familiarity with SQL, Python, scripting, APIs, spreadsheets, or workflow automation tools is a plus
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Experience working cross-functionally with technical and operational teams preferred
Compensation & Benefits
The base salary range for this position is $110,000 - $160,000 USD annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).
Skills
PythonSQLMachine LearningData EngineeringProject ManagementProgram Management
