---
title: 'Member of Technical Staff, Platform at Embedding VC'
canonical: 'https://feeny.ai/job/member-of-technical-staff-platform-embedding-vc-mountain-view-m8c1dy6b5ddk'
type: 'job'
last_seen: '2026-09-09'
---

# Member of Technical Staff, Platform 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/f7e71416-4a84-4690-906e-83b0fd637242

## 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, Platform, you'll build full-stack product features for our Expert Talent platform end-to-end—from a rough idea in a product discussion to a shipped, instrumented feature in front of real customers and users. You'll work across the stack (frontend, backend, and the glue between them) and work closely with cross-functional teams like product, project management, and leadership.

This is a generalist product engineering role, and you need to have full-stack (FE and BE) fluency and a product mindset in the way you approach development. You care 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

- Design, build, and ship full-stack product features — UI, API, and data layer — with a strong bias toward shipping and iterating quickly.
- Own features end-to-end, from product discussion through implementation, testing, and release.
- Embed AI directly into product workflows: AI-powered features, assistive UX, and automation that make the product feel intelligent, not just functional.
- 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 closely with Product and Design to shape scope and UX, not just implement a spec handed to you.
- Improve the performance, reliability, and observability of assessment infrastructure.

## Qualifications

- 1+ years of professional software engineering experience building and 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 the product needs it.
- Experience building or integrating LLM-powered features in production is a strong plus.
- Knowledge of building AI agents into products.
- Product-minded: you ask "why should we build this" and "is this the right solution" as naturally as "how do I build this," and you treat customer outcomes as the measure of success, not the technology you shipped.
- AI-native by default: you already use AI coding tools daily, and you've built or shipped features that use LLMs/AI.
- Solid engineering fundamentals: testing, debugging, performance basics, and the judgment to know when to invest in each.
- 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.
- Experience with microservices, event-driven architectures, and cloud platforms (AWS/GCP).

## Compensation & Benefits

The base salary range for this position is $120,000 – $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)

## Other roles at Embedding VC

- [IT & Information Security Manager](https://feeny.ai/job/it-information-security-manager-embedding-vc-san-francisco-sk44dfr9pp9h) — San Francisco, CA
- [Software Engineer, Agent](https://feeny.ai/job/software-engineer-agent-embedding-vc-san-francisco-b6gjwsa8j7qj) — San Francisco, CA
- [Senior/Staff Software Engineer, Agent](https://feeny.ai/job/senior-staff-software-engineer-agent-embedding-vc-san-francisco-yqmv1e6jkzym) — San Francisco, CA
- [Software Engineer, Enterprise AI Platform](https://feeny.ai/job/software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-qhqpjezbrxvg) — San Francisco, CA
- [Senior Software Engineer, Enterprise AI Platform](https://feeny.ai/job/senior-software-engineer-enterprise-ai-platform-embedding-vc-san-francisco-w4p49q7xp4qm) — San Francisco, CA
- [Senior Product UI/UX Designer](https://feeny.ai/job/senior-product-ui-ux-designer-embedding-vc-san-francisco-6njqf9mjhek8) — San Francisco, CA
- [Lead AI Native Engineer](https://feeny.ai/job/lead-ai-native-engineer-embedding-vc-milpitas-e8kp7wddrx7f) — Milpitas, CA
- [Senior Product Manager, Enterprise](https://feeny.ai/job/senior-product-manager-enterprise-embedding-vc-san-francisco-w2jf6kkspg4w) — San Francisco, CA
- [GTM Specialist](https://feeny.ai/job/gtm-specialist-embedding-vc-san-francisco-awtfmvetn3gd) — San Francisco, CA
- [GTM Lead](https://feeny.ai/job/gtm-lead-embedding-vc-san-francisco-5qgfnawtcd4k) — San Francisco, CA