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Stability Ai Jobs in California (NOW HIRING)

ComfyUI

Member of Technical Staff, Frontend

San Francisco, CA · On-site

$122K - $142K/yr

Our team comes from Stability AI and Google, and many contributed to the ComfyUI ecosystem long before working here. Low ego, high ownership. We work hard and demand a lot of each other, but we have ...

SupportFinity™

Account Executive

San Francisco, CA · On-site

$50 - $300/hr

... Stability AI) and many others. Your Role You will own the full sales cycle for a high-velocity and high-complexity product -- compute, RL infrastructure, and post-training services. Work a focused ...

ComfyUI

Product Manager, ComfyUI

San Francisco, CA · On-site

$150K - $240K/yr

Our team comes from Stability AI and Google, and many contributed to the ComfyUI ecosystem long before working here. Low ego, high ownership. We work hard and demand a lot of each other, but we have ...

Greycroft

Executive Assistant

San Francisco, CA · On-site

$150/hr

Some of our notable investments include Applied Intuition, Braintree, CharacterAI, Fetch, Hidden Road, Hippocratic AI, OpenAI, OpenEvidence, Pika, Prezent, Reken, Scopely, Shipt, Stability AI ...

New

ComfyUI

Senior Product Designer

San Francisco, CA · On-site

$150K - $240K/yr

Our team comes from Stability AI and Google, and many contributed to the ComfyUI ecosystem long before working here. Low ego, high ownership. We work hard and demand a lot of each other, but we have ...

Apple

Senior Data Analyst - OS Stability

San Diego, CA · On-site

$91K - $115K/yr

Oversee AI systems for intelligent monitoring, predictive regression detection, and automated pattern recognition while providing strategic human insight. Present stability trends, risks, and ...

Apple

Senior Data Analyst - OS Stability

San Diego, CA

$142K - $263K/yr

Oversee AI systems for intelligent monitoring, predictive regression detection, and automated pattern recognition while providing strategic human insight. Present stability trends, risks, and ...

cfo.ai

⚙️ Engineering Manager

San Francisco, CA · On-site +1

World-class companies like AngelList, Superhuman, Stability.AI, ConvertKit, Lambda Labs, Lob, and SandboxVR rely on Runway to run their businesses more efficiently. Our Investors : We are supported ...

Greycroft

Executive Assistant

San Francisco, CA · On-site

$150/hr

Some of our notable investments include Applied Intuition, Braintree, CharacterAI, Fetch, Hidden Road, Hippocratic AI, OpenAI, OpenEvidence, Pika, Prezent, Reken, Scopely, Shipt, Stability AI ...

Comfy

Freelance Graphic Designer

San Francisco, CA · On-site

$68.88 - $130.87/hr

Our team comes from Stability AI and Google, and many contributed to the ComfyUI ecosystem long before working here. Low ego, high ownership. We work hard and demand a lot of each other, but we have ...

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Stability Ai information

What is a Stability AI engineer?

A Stability AI engineer is a professional who works at Stability AI, a company specializing in developing artificial intelligence models, particularly in the fields of generative AI and machine learning. Their role often involves building, optimizing, and maintaining AI systems, such as text-to-image models like Stable Diffusion. Stability AI engineers collaborate with researchers and developers to advance the capabilities of open-source AI tools and make them accessible to a broader audience. They typically have strong backgrounds in software engineering, deep learning, and data science.

What are the key skills and qualifications needed to thrive as a Stability AI engineer?

To thrive as a Stability AI Engineer, you need strong proficiency in machine learning, deep learning frameworks (like PyTorch or TensorFlow), and a solid background in computer science or a related field. Experience with cloud platforms, model deployment tools, and version control systems, as well as familiarity with AI ethics and model interpretability, is typically required. Creativity, problem-solving abilities, and effective communication skills help individuals collaborate across multidisciplinary teams and innovate in fast-evolving environments. These skills ensure the development of robust, ethical, and scalable AI systems that meet organizational and societal needs.

What are some common challenges faced by professionals working at Stability AI, and how can candidates prepare for them?

Professionals at Stability AI often work on cutting-edge AI research and product development, which can involve rapidly evolving technologies and ambiguous project requirements. A common challenge is balancing innovative experimentation with the need to deliver reliable, scalable solutions. Team members regularly collaborate across interdisciplinary teams, requiring strong communication and adaptability. Candidates can prepare by demonstrating proficiency in AI fundamentals, staying current with industry trends, and showing a willingness to learn from both successes and setbacks.

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Stability Ai jobs near you
Infographic showing various Stability Ai job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Senior Product Engineer, Growth & Lifecycle Infrastructure - Music & Audio

Stability AI

Los Angeles, CA • On-site, Remote

Full-time

Re-posted yesterday

Key responsibilities

  • Own the ground-up build of PLG growth and lifecycle infrastructure for music and audio products, including selecting the stack, designing event taxonomy, wiring integrations, and running the system.

  • Build and attribute the full growth funnel across paid, organic, partner, and in-product virality, and develop in-app PLG mechanics such as viral loops, referral mechanics, upgrade prompts, and sharing hooks.

  • Define and execute lifecycle marketing strategies, including segmentation, behavioral triggers, messaging cadences, and ship free-to-paid logic like trial mechanics, paywalls, and entitlement checks.

Job description

Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Audio, Video, and 3D.
As the Senior Product Engineer, Growth & Lifecycle Infrastructure, you will own the ground-up build of PLG growth and lifecycle infrastructure for our music and audio products - greenfield across web, desktop, plugin, and mobile. You'll choose the stack, design the event model, wire the integrations, and run the system. The output is a measurable, attributable funnel from anonymous visitor to paying customer to expanded account. This role sits at the intersection of growth marketing, product lifecycle, and community-driven PLG - the systems, how they live inside the product, and how they drive real conversion.
What you'll do...
  • Select and own the stack for the Music & Audio vertical: CDP, product analytics, lifecycle/messaging, experimentation, warehouse, reverse-ETL, and entitlements - including writing defensible recommendations with cost model and tradeoffs
  • Design event taxonomy with consistent schema and identity resolution across anonymous → free → paid → multi-device
  • Build and attribute the full growth funnel across paid, organic, partner, and in-product virality
  • Architect in-app PLG motion: viral loops, referral mechanics, upgrade prompts, and sharing hooks
  • Define and execute lifecycle marketing strategy: segmentation, behavioral triggers, and messaging cadences across activation, habit, and expansion
  • Ship free-to-paid logic: trial mechanics, paywalls, in-app messaging, and entitlement checks across web and native runtimes
  • Build onboarding, churn-risk, reactivation, and win-back sequences
  • Instrument A/B experimentation with exposure logging and statistical guardrails
  • Own the growth dashboard: activation, conversion, ARPU, LTV, retention cohorts, and expansion rate

What you'll bring...
  • 6+ years of end-to-end ownership of product or growth infrastructure inside a B2C or PLG B2B company
  • Deep expertise in growth marketing and product lifecycle marketing - you walk in knowing how to implement it, not just what it is
  • Hands-on production experience across the modern martech stack: CDPs, product analytics, lifecycle/messaging, billing, reverse-ETL, and transformation layer
  • Proven ability to ship in-app PLG mechanics where the product itself drives growth
  • Proficiency in TypeScript, Node.js, Python, and SQL
  • Fluency with AI-augmented development tools in daily workflow (Claude Code, Cursor, Codex, or equivalent)
  • Experience building event taxonomies that hold up without schema drift
  • A history of shipping paywall and entitlement logic in production where revenue depended on it
  • Comfort operating without a product manager: setting milestones, owning the schedule, and escalating when needed

Not dealbreakers, but great if you had...
  • Experience with B2C subscriptions in creative tools, music, or design
  • Exposure to music or creative-platform go-to-market motions
  • Open-source contributions to data tooling
  • Experience as the first PLG/growth engineer at a company
  • A track record of building in public: Product Hunt, YC network, or active presence on X or Reddit

What success looks like...
  • Day 30: Stack chosen and approved, contracts signed, identity resolution working in development, event taxonomy v1 drafted
  • Day 60: Full event taxonomy live across primary surfaces, first lifecycle sequence in production, baseline dashboard up
  • Day 90: Paywall and entitlement logic in production, attribution closing the loop on at least one paid channel
  • Day 120: Experimentation framework in active use, first growth experiment results read out to leadership

Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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