---
title: 'Product Manager at Embedding VC'
canonical: 'https://feeny.ai/job/product-manager-embedding-vc-san-francisco-m3qj4wene4d6'
type: 'job'
last_seen: '2026-10-14'
---

# Product Manager at Embedding VC

- **Company:** Embedding VC
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-17
- **Last confirmed live:** 2026-10-14
- **Apply:** https://jobs.ashbyhq.com/embedding-vc/0e9c49f5-096f-44d9-9257-51128a4f54a4

## Job description

## About Us

We are a small team obsessed with deep thinking, speed, craftsmanship, and a customer-first approach. Our mission is to build the best care experience in healthcare with a 30-year horizon. The founding team brings deep expertise across medicine, product, operations, and engineering. Collectively, we have built multiple 0-to-1 products and scaled companies from inception to over $1B in valuation, $60M+ ARR, and 100M+ MAU. We help physicians achieve independence by making it easier to start, operate, and grow their practices. We believe the future of healthcare will not be driven by large, bureaucratic systems, but by empowered individual physicians. By lowering barriers to practice ownership, we enable doctors to deliver better care for everyone. We are builders, physicians, and operators with decades of combined experience in healthcare and technology—including more than 30 years of hands-on experience running successful independent practices across urgent care centers, surgical centers, and beyond. Our team has also started and helped shape products used by billions at companies such as Meta, Dropbox, Instagram, Coda, and Nomad. We have strong product-market fit ($10M+ ARR in under 14 months). We are profitable and funded by top-tier VCs in the healthcare vertical.

## The Role

This is a role for someone who wants real ownership, not just of a roadmap, but of outcomes. You'll take products, workflows, and business-critical problems from 1 to 100, shaping both what we build and how we scale it. You'll operate at every altitude. At 10,000 feet, you'll define product direction, identify high-leverage opportunities, and imagine how AI can fundamentally reinvent the way work gets done. At the one-inch level, you'll become deeply fluent in legal and medical workflows, dogfood the product, work directly with customers, and uncover the friction others miss. You'll be scrappy, hands-on, and close to the work. You'll turn real-world insight into products people trust and rely on, while continuously testing, learning, and improving. You're a systems thinker with the imagination to design truly AI-native experiences—and the operational discipline to build the processes, feedback loops, and systems that make those experiences better over time.

## What You'll Do

- Lead the end-to-end development of new 0→1 products, from problem definition through launch and iteration.
- Develop product strategy, define the roadmap, and make clear trade-offs in fast-moving, ambiguous environments.
- Partner closely with engineering and design to prototype quickly using foundation models, agents, retrieval systems, and other emerging AI capabilities.
- Translate insights into product requirements, user stories, success metrics, and launch plans.
- Design human-in-the-loop experiences that combine AI capabilities with appropriate review, escalation, and operational controls.
- Build evaluation frameworks to measure product quality, model performance, reliability, safety, and business impact.
- Roll up your sleeves to be involved in the operations, improve processes, and close feedback loops.
- Establish the operating rhythms, measurement, and processes needed to scale successful products.
- Use data and qualitative feedback to prioritize opportunities and continuously improve the product.

## What You'll Bring

- 4–9 years of product management experience, including experience launching a product or major product area from zero to one.
- Demonstrated ability to turn an ambiguous customer or business problem into a shipped product.
- Strong customer empathy and a bias toward action, learning, and iteration.
- Genuine interest in operations: willing to spend time in the field, learn workflows firsthand, and partner deeply with operational teams.
- Experience building with AI systems, or a strong track record of quickly developing technical fluency in emerging technologies.
- Ability to balance strategic thinking with executional detail.
- Strong communication and stakeholder-management skills across technical and non-technical teams.
- Comfort using data to make decisions, define success, and identify opportunities.
- A collaborative, low-ego approach and willingness to do what is needed to move the work forward.

## Nice to Have

- Experience in operationally complex environments such as healthcare, field services, and legal.
- Experience with pilots, service design, process improvement, or launching products with real-world operational dependencies.
- Experience in AI and evaluation frameworks.
- Startup or high-growth company experience.

## 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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