Embedding VC

Member of Technical Staff, Platform

Embedding VC
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2 months ago
Mountain View, CA, USAEntry Level

Base Salary

$120k - $200k/yr

Responsibilities

  • Design, build, test, and ship full-stack product features spanning the UI, API, and data layer.
  • Own features end-to-end from product discussion through implementation, testing, release, and instrumentation.
  • Embed AI-powered features, assistive UX, and automation into product workflows.
  • Build evaluation pipelines and data models for AI-powered features.
  • Use modern AI coding tools to accelerate development while maintaining a high engineering bar.
  • Partner with Product and Design to shape scope and user experience.
  • Improve the performance, reliability, and observability of assessment infrastructure.

Requirements

  • At least 1 year of professional software engineering experience building and shipping production features.
  • Strong backend fundamentals in API design, data modeling, distributed systems, and relational databases.
  • Full-stack fluency, including comfort with modern frontend frameworks such as React and TypeScript.
  • Experience building or integrating LLM-powered features in production is a strong plus.
  • Knowledge of building AI agents into products and experience shipping LLM- or AI-enabled features.
  • Solid engineering fundamentals in testing, debugging, and performance optimization.
  • Preferred qualifications include startup or founder experience, scaled consumer product experience, machine learning and deep learning knowledge, and experience with microservices, event-driven architectures, and AWS or GCP.

Benefits

  • Base salary range of $120,000–$200,000 USD annually, plus equity eligibility.
  • Comprehensive health, dental, and vision benefits.
  • Paid time off and a flexible work schedule.
Embedding VC

About Embedding VC

11-50 employees

Embedding VC is an early-stage venture fund that backs generative AI startups, led by current and former builders and operators. The partnership invests capital and hands-on expertise to help AI founders scale, with a focus on progress toward AGI. Founded in 2023 and headquartered in Menlo Park, California, it operates as a private partnership concentrating on AI-native applications and infrastructure.

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