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Stability Ai Jobs (NOW HIRING)

Prime Intellect

Account Executive

San Francisco, CA · On-site

$150/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 ...

Greycroft

Chief of Staff

New York, NY · On-site

$200K - $235K/yr

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

Greycroft

Chief of Staff

New York, NY

$200K - $235K/yr

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

ComfyUI

Product Manager, ComfyUI

San Francisco, CA · On-site

$150K - $300K/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 ...

Arcade Studio Inc

Agent Engineer

San Francisco, CA · On-site

Arcade is headquartered in San Francisco's Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a mission-driven team from Google, Apple, Stability AI, Glean, Sierra, NVIDIA ...

ComfyUI

BizOps Strategist

San Francisco, CA · On-site

$175K - $250K/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 ...

ComfyUI

Senior Product Designer

San Francisco, CA · On-site

$150K - $300K/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 ...

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Stability Ai information

How many employees does Stability AI have?

As of 2023, Stability AI has approximately 200 employees. The company focuses on AI research and development, often hiring professionals skilled in machine learning, data science, and software engineering.

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, and why are they important?

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.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior research scientist, AI director, or executive roles, which offer compensation packages including salary, bonuses, and stock options. These roles usually require advanced degrees, extensive experience, and expertise in machine learning, deep learning, or related fields, often working with cutting-edge tools and large datasets.

Is Stability AI a good company to work for?

Stability AI is a technology company focused on AI and machine learning development. Employees report a collaborative environment and opportunities to work on innovative projects, often requiring skills in AI tools and programming. As with any company, experiences vary, and researching specific roles and reviews can provide more insight.

Which 3 jobs will survive AI?

Stability AI professionals working in roles such as AI research, machine learning engineering, and data science are likely to continue thriving as these areas require complex problem-solving, creativity, and domain expertise that are difficult for AI to fully replicate. Skills in critical thinking, programming, and understanding of AI models will remain valuable in these jobs. Additionally, roles involving oversight, ethical considerations, and human-AI collaboration are expected to persist.
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Stability Ai jobs near you

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

Stability AI

Los Angeles, CA • On-site, Remote

Full-time

Posted 7 days ago

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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