---
title: 'Developer Platform Engineer at Embedding VC'
canonical: 'https://feeny.ai/job/developer-platform-engineer-embedding-vc-san-francisco-s7fzpn8agesg'
type: 'job'
last_seen: '2026-10-14'
---

# Developer Platform Engineer 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/9621e073-22b8-46c8-a834-77efed82868a

## Job description

## About the Role

You will be a core builder of the Financial Cloud developer platform — implementing the CI/CD pipelines, GitOps automation, artifact management, dependency graph engine, and change impact analysis tooling that allow 50-100 versioned modules to be independently built, tested, composed, and deployed across dozens of global compliance sites. You'll work directly with the Platform Architect to turn architecture blueprints into production systems used daily by hundreds of engineers.

## Key Responsibilities

- Build module-level CI/CD pipelines: from commit to versioned artifact (Docker image + K8s manifest) published to the artifact registry, with reproducible build enforcement (hermetic environments, pinned toolchains, deterministic outputs)
- Implement build provenance automation: SLSA attestation generation, artifact signing, dependency chain verification integrated into every pipeline; Golden Signals validation in CI that blocks releases missing required metrics endpoints
- Develop the dependency graph database: ingest static dependencies (code imports, API contracts, schema references) + runtime dependencies (service mesh traces), provide queryable graph for impact analysis
- Build change impact analysis tools: given a PR, compute affected modules/sites/tests and surface results in the PR review UI; implement selective test orchestration that only runs dependency-graph-proven relevant tests
- Implement the GitOps deployment engine: ArgoCD/Flux controllers managing site config repos, automated reconciliation, staging → canary → production promotion with Golden Signals monitoring and auto-rollback
- Build site provisioning tooling: scaffolding tools that generate new site config repos with module version pinning + compliance parameters; self-service console for configuration-type sites
- Develop the version management console: module version status, version drift visualization across all sites, batch upgrade workflows, automated changelog generation, compatibility checking before deployment
- Implement the security patch force-push pipeline: automated SECURITY-REQUIRED PR creation across all site repos with SLA tracking and escalation triggers
- Build the four-layer test orchestrator: automated test selection by module/country/scenario tags, parallel execution at scale, coverage gap detection that blocks deployments with actionable feedback

Major Requirements

- 6+ years in backend / platform / infrastructure / developer tools engineering
- Strong proficiency in Go (primary) or Java/Kotlin, with scripting in Python
- Production experience with CI/CD pipeline development: GitHub Actions, Tekton, Jenkins, or custom pipeline orchestrators
- Hands-on with GitOps tooling: ArgoCD, Flux, Kustomize — at scale (10+ clusters/environments)
- Experience with Kubernetes: operators, custom controllers, CRDs, Helm chart development
- Solid understanding of container registries and artifact management (Harbor, ECR, Artifactory)
- Experience with build systems: Bazel, Gradle, or equivalent — reproducible builds, remote caching, build graph optimization
- Background in dependency analysis tooling or graph databases (Neo4j, Dgraph, or custom implementations)
- Preferred: Experience at AWS (CodePipeline, CodeBuild, Proton, Service Catalog) or GCP (Cloud Build, Artifact Registry, Cloud Deploy)
- Preferred: Background at Stripe, Adyen, or Square in developer platform teams
- Preferred: Experience building internal developer platforms (IDP) or platform-as-a-service for engineering organizations
- Preferred: Familiarity with supply chain security tooling (Sigstore, in-toto, SBOM generation)

## 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

- [Growth Product Manager](https://feeny.ai/job/growth-product-manager-embedding-vc-san-francisco-vrfeccdpc23z) — San Francisco, CA
- [Head of Security](https://feeny.ai/job/head-of-security-embedding-vc-san-francisco-yt0qgf1vw3cp) — San Francisco, CA
- [Applied AI Engineer](https://feeny.ai/job/applied-ai-engineer-embedding-vc-san-francisco-5z96xfrv5cwk) — San Francisco, CA
- [Platform Architect](https://feeny.ai/job/platform-architect-embedding-vc-san-francisco-dc9s1t5g35k1) — 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
- [Brand Designer](https://feeny.ai/job/brand-designer-embedding-vc-mountain-view-gs8te4kmq1vy) — Mountain View, CA
- [Product Designer](https://feeny.ai/job/product-designer-embedding-vc-mountain-view-607j0rvt9b9t) — Mountain View, CA
- [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