---
title: 'Platform Architect at Embedding VC'
canonical: 'https://feeny.ai/job/platform-architect-embedding-vc-san-francisco-dc9s1t5g35k1'
type: 'job'
last_seen: '2026-10-14'
---

# Platform Architect at Embedding VC

- **Company:** Embedding VC
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-13
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/0d1f1884-d114-40e9-8f55-1baac1d2f7f4

## Job description

## About the Role

The company operates 2000+ microservices deployed across dozens of compliance-regulated sites globally. They are transforming this into a modular financial cloud platform — organizing services into 50-100 independently versioned business modules, where each compliance site is a version set (a pinned, validated combination of module versions). As Platform Architect, you will own the version engineering and module governance architecture — the system that ensures every deployment is reproducible, every change's blast radius is computable, and every site composition is a known-good state. This is fundamentally a build systems + dependency management + change propagation problem at financial-grade reliability.

## Key Responsibilities

- Design the version set model: each site defined as a locked, tested combination of module versions (analogous to a Bazel workspace snapshot or Cargo.lock), with version compatibility matrices and automatic constraint solving
- Architect reproducible build pipelines: any module at any version produces byte-identical artifacts regardless of when/where it's built; hermetic build environments, content-addressable artifact storage, SLSA Level 3+ provenance
- Build and maintain the live dependency graph spanning 2000+ services: static analysis (code/API/schema) + runtime analysis (traffic-weighted call patterns), transitive dependency resolution with automatic conflict detection
- Design the monorepo + package ownership governance model: clear module boundaries via DDD, CODEOWNERS enforcement, cross-module change protocols, module boundary enforcement tooling (lint rules, CI checks, architectural fitness functions)
- Architect change impact analysis systems: given any PR, compute which modules/sites/tests are affected; selective test execution (run only dependency-graph-proven relevant tests); change confidence scoring (blast radius + coverage + stability → risk grade)
- Design the GitOps-driven multi-site deployment model: site config repos declaring module versions + compliance parameters, automated deployment strategies (patch auto-deploy, minor with review, major with migration plan, security force-push)
- Architect the four-layer testing framework: Module self-test → Platform compliance tests (parameterized by country) → Cross-module integration tests → Site-specific tests, with automated coverage enforcement that blocks deployments when gaps are detected

Major Requirements

- 10+ years in large-scale distributed systems / platform infrastructure
- Deep expertise in build systems and dependency management at scale: Bazel, Buck, Pants, Nx, or equivalent (1000+ packages)
- Production experience with reproducible build engineering: content-addressable storage, hermetic builds, deterministic CI, artifact provenance (SLSA)
- Experience building dependency graph tooling: static/runtime dependency analysis, impact computation, selective testing
- Strong background in semantic versioning governance across large service fleets: version resolution, compatibility constraints, lockfile-style pinning
- Experience with API contract evolution: protobuf/gRPC versioning, schema evolution strategies, contract testing
- Experience with multi-region/multi-tenant platform architectures serving regulated workloads
- Track record of migrating monolithic systems to modular architectures without business disruption
- Preferred: Experience with Amazon's internal VersionSet / Brazil build system / Apollo deployment, or similar systems at Google (Blaze/Bazel), Meta (Buck/Configerator)
- Preferred: Background at Stripe or Adyen — multi-country financial platform with compliance parameterization

## 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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- [Developer Platform Engineer](https://feeny.ai/job/developer-platform-engineer-embedding-vc-san-francisco-s7fzpn8agesg) — San Francisco, CA
- [Applied AI Engineer](https://feeny.ai/job/applied-ai-engineer-embedding-vc-san-francisco-5z96xfrv5cwk) — San Francisco, CA
- [Director of Product](https://feeny.ai/job/director-of-product-embedding-vc-san-francisco-6zpkc92h6r1p) — San Francisco, CA
- [Growth Product Manager - Product Marketing](https://feeny.ai/job/growth-product-manager-product-marketing-embedding-vc-san-francisco-j89dx7cw58e6) — San Francisco, CA
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