---
title: 'Member of Technical Staff, Infra at Embedding VC'
canonical: 'https://feeny.ai/job/member-of-technical-staff-infra-embedding-vc-mountain-view-f5mvyn0c3r8t'
type: 'job'
last_seen: '2026-09-09'
---

# Member of Technical Staff, Infra at Embedding VC

- **Company:** Embedding VC
- **Location:** Mountain View, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-25
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/9f6c2fa9-023f-4c8c-8775-33640beaa396

## Job description

## 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 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 Member of Technical Staff, Infra, you'll own the scalability and reliability of the services that power our AI-native product features and platform applications, spanning our cloud infrastructure, APIs, and data models that need to hold up under real production load. Backend and infra will be your primary focus, but you should still be a generalist enough to support end-to-end product development when needed.

Finally, you are a product-minded engineer that cares as much about whether a feature solves the customer and users' problems as you do about how it's built. Our Expert Talent platform is growing and scaling significantly in the 1-100 stage, so your impact will be immense and have a great deal of ownership from day one.

## Responsibilities

- Own the architecture of Abaka Expert Platform's shared backend systems—core services, data models, APIs, and cross-product infrastructure.
- Define and drive the long-term technical strategy for backend architecture across the organization.
- Design, build, and ship backend services and APIs that power AI-native product features at scale.
- Design systems for scale, reliability, and evolvability, and lead the highest-stakes technical decisions and design reviews.
- Establish backend engineering standards, patterns, and best practices adopted across all product teams.
- Partner closely with Product and AI/ML teams to translate product and model requirements into production-grade systems.
- Use modern AI development tools.
- Improve performance, reliability, and observability of existing backend infrastructure.
- Debug and resolve production issues.

## Qualifications

- 3+ years of professional backend software engineering experience.
- Strong expertise in backend: API design, data modeling, distributed systems, databases, and API design at scale.
- A track record of owning architecture across multiple teams or an entire organization—and of decisions that aged well.
- Capable in a modern frontend framework (React/TypeScript) and able to work the full path from UI to backend when needed.
- Product-minded: you push back on unnecessary complexity and think about the customer outcome the system enables.
- Excellent communication skills—able to make complex tradeoffs legible to both engineers and leadership.
- Experience building or integrating AI/LLM-powered features and agent designs.
- Fluent with modern AI development tools (e.g., Cursor, Claude Code, GitHub Copilot, or similar) as part of your daily workflow.
- 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 and Deep Learning knowledge and experience.

## Compensation & Benefits

The base salary range for this position is $140,000 – $200,000 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).

## About Embedding VC

## Company Overview
- **One-liner**: Embedding VC is an early-stage venture capital firm investing in Generative AI startups, backing engineering, product, and research visionaries.
- **Entity Type**: Private (Venture Capital Firm)
- **Headquarters**: Menlo Park, California, United States
- **Founded**: 2023
- **Founders**: Roger Luo (Founder & Managing Partner)

## Core Business
- Primary industry/industries: Venture Capital, Private Equity, Artificial Intelligence
- Target customers: Early-stage Generative AI startups (Seed and Series A)
- Mission or purpose statement: To back engineering, product, and research visionaries in the mission to develop AGI, believing they are at the onset of a new computing super cycle driven by AI innovations.

## Products & Services
- **Venture Capital Investments**: Early-stage (Seed and Series A) investments in Generative AI startups. Focus areas include AI-first applications, middleware for Gen AI, and AI + game + social.
- **Portfolio Support**: Provides capital and strategic support to portfolio companies, leveraging a network of investors who are current and former builders and operators.

## Market Standing
- **Valuation/Market Cap**: Not applicable (Venture Capital firm)
- **Key Metric**: Total Funding Deployed: Not publicly disclosed. The firm has made 6 investments as of early 2026, with 5 new investments in the last 12 months.
- **Notable Investors/Partners**: The firm's investors are current and former builders and operators. Co-investors include Long Journey Ventures, Mayfield, Correlation Ventures, 468 Capital, NFX, and Menlo Ventures.
- **Growth Signals**: Active job postings (37 as of mid-2026), with a monthly growth in postings of +5.7% and quarterly growth of +48.0%. The firm's website traffic has grown +231.9% monthly. The firm has made 5 new investments in the last 12 months, including a Series A round in Entelligence in January 2026.

## Competitive Advantages
- **Founder-Operator Network**: All investors in the fund are current and former builders and operators, providing deep, hands-on expertise to portfolio companies.
- **Niche Focus**: Dedicated exclusively to early-stage Generative AI, a high-growth, cutting-edge sector, allowing for deep specialization and a strong network within the AI ecosystem.
- **Strong Portfolio**: Investments in notable AI startups like Flora (AI-powered smart glasses, $52M raised), Omi (AI personal story recording), and Entelligence (AI for engineering leadership) demonstrate a keen eye for emerging trends.

## Strategic Focus
- **Generative AI Leadership**: To be the premier early-stage partner for founders building the next generation of AI-native companies.
- **AGI Mission**: The firm explicitly states a belief in the mission to develop AGI, signaling a long-term, high-conviction investment thesis.
- **Expanding Portfolio**: Actively seeking new investments in AI-first applications, middleware for Gen AI, and AI + game + social.

## Why Work Here
- **Culture**: A small, focused team of 17 employees (as of mid-2026) with a flat structure, offering significant ownership and impact. The firm is described as a partnership.
- **Remote/Hybrid Policy**: The firm has offices in Menlo Park (HQ) and Los Angeles, CA. Job postings indicate a mix of "In-Office" and "In-Office or Remote" roles, suggesting flexibility depending on the position.
- **Notable Perks/Engineering Culture**: Working at a VC firm offers exposure to the cutting edge of AI technology and the startup ecosystem. The team is composed of specialists and management, with a strong consulting and technical background. The firm is actively hiring for technical roles (Machine Learning Engineer, Software Engineer, Data Engineer) and product roles, indicating a hands-on, builder-oriented culture within the firm itself.

## Sources
1. [embedding.vc](https://www.embedding.vc/)
2. [linkedin.com](https://www.linkedin.com/company/embeddingvc)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/embedding-vc)
4. [tracxn.com](https://tracxn.com/d/venture-capital/embeddingvc/__x4iWIoyDblSMImQx3cerpGqOt15eGHuGXfZJrtw3RK0)
5. [builtin.com](https://builtin.com/company/embedding-vc/teams)

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