Member of Technical Staff, Platform
Abakaai · Mountain View, CA
About this role
**About Abaka** 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 Abaka to power their data pipelines. With headquarters in Silicon Valley and teams in Paris, Singapore, and Tokyo, Abaka supports global partners with fast, reliable, and scalable data solutions. Abaka offers an off-the-shelf dataset catalog (image, video, multimodal, reasoning, 3D, and beyond) plus end-to-end data collection and annotation services—whether you need raw data, curated datasets, or full-cycle data engineering. **About the Role — Member of Technical Staff, Platform** You’ll build full-stack product features for Abaka’s Expert Talent platform—from a rough idea in product discussions to a shipped, instrumented feature used by real customers. You’ll work across the stack (frontend, backend, and the glue between them) and partner closely with Product, Project Management, Design, and leadership. This is a generalist product engineering role with a strong product mindset. The platform is in the 1–100 stage, so you’ll have significant ownership and impact from day one. **Responsibilities** - Design, build, and ship full-stack product features (UI, API, and data layer) with a bias toward shipping and iterating quickly - Own features end-to-end: product discussion → implementation → testing → release - Embed AI into product workflows (AI-powered features, assistive UX, automation) - Build evaluation pipelines and data models for AI-powered features - Leverage modern AI coding tools to accelerate development while maintaining a high engineering bar - Partner with Product and Design to shape scope and UX (not just implement specs) - Improve performance, reliability, and observability of assessment infrastructure **Qualifications** - 1+ years of professional software engineering experience shipping production features - Strong backend fundamentals: API design, data modeling, distributed systems, and relational databases - Comfortable working across the stack, including modern frontend frameworks (e.g., React/TypeScript) when needed - Experience building or integrating LLM-powered features in production (plus) - Knowledge building AI Agents into production (plus) - Product-minded: you ask “why” and “is this the right solution,” and measure success by customer outcomes - AI-native: you use AI coding tools daily and have shipped features using LLMs/AI - Solid engineering fundamentals: testing, debugging, performance basics, and good judgment on where to invest - Comfortable with ambiguity and evolving priorities - High ownership, pragmatism, and a bias toward shipping **Preferred Qualifications** - Startup or founder experience - Experience building consumer-facing products at scale - ML/Deep Learning knowledge and experience - Experience with microservices, event-driven architectures, and cloud platforms (AWS/GCP) **Compensation & Benefits** - Base salary range: **$120,000 – $200,000 USD annually** - Compensation may vary based on qualifications, skills, competencies, and experience - Eligible for equity - Comprehensive benefits package: health, dental, vision, PTO, and a flexible work schedule
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