AI Jobs

Experience Requirements:

• Track record of working directly with customers on generative AI deployment

• Comfort across the full stack—from model hosting and backend architecture to interfaces

• Strong Python skills and an intuitive understanding of API integrations

• Hands-on experience with diffusion models, flow matching, or related techniques

• Experience optimizing inference for transformer-based models

Other Requirements:

• Ability to translate sophisticated technical concepts for any stakeholder

• Knowledge of the FLUX ecosystem (ComfyUI, etc.)

• Ability to architect solutions in complex enterprise environments

• Contribution to open-source projects

Responsibilities:

• Designs deep product integrations for customers navigating model hosting and finetuning

• Builds intuitive interfaces that make sophisticated diffusion models feel approachable

• Helps customers deploy FLUX models in their environments, optimizing for latency and quality

• Architects solutions by understanding customer needs and constraints

• Explores uncharted territory in industries for generative visual AI

Experience Requirements:

• 3+ years in developer relations, or technical role with public-facing component

• Proven track record of technical content creation (portfolio required)

• Up-to-date engineering skills, ideally demonstrated through open-source projects

• Working knowledge of AI/ML development (agents, RAG, orchestration, API integrations)

Other Requirements:

• Comfortable on camera and creating video content

• Significant Digital Footprint (popular YouTube channel, X account, or newsletter)

• Experience with Generative Media

• Finetuning / LoRA of FLUX / Diffusion models

Responsibilities:

• Improve BFL’s video presence - tutorials, demos, educational content

• Create and maintain world-class developer documentation

• Write tutorials, cookbooks, and open-source demo repos

• Engage directly with the developer community in-person

• Take community feedback and turn it into actionable product insights

Experience Requirements:

• 3+ years in creative technology, digital art, or experimental media

• Deep knowledge of the FLUX ecosystem - ComfyUI, common training frameworks

• Deep knowledge of diffusion models and/or flow matching, including finetuning and distillation techniques

• Deep understanding of generative AI and diffusion models

Other Requirements:

• Strong visual portfolio demonstrating creative excellence

• Active presence in the creative AI community (X, Discord, YouTube)

• Working knowledge of Python for scripting and rapid prototyping

• Experience creating content for social media that got real traction

• Experience supporting sales or GTM teams

Responsibilities:

• Create original creative work that pushes FLUX to its limits

• Collaborate with research and product teams to understand core strengths and provide feedback

• Bridge the gap between tech teams and creatives who are the end users

• Produce high-quality creative assets for social media, events, and GTM

• Build interactive experiences, installations, and proof-of-concepts

Benefits:

• Generous PTO, plus company holidays

• Medical, dental, and vision coverage

• Paid parental leave for all parents (12 weeks)

• Fertility and family planning support

• Early-detection cancer testing through Galleri

Experience Requirements:

• Over 10 years in strategic account management or transformation consulting

Other Requirements:

• Mastery of change management and strategic thinking

• Exceptional executive presence

• Intrinsic motivation to do your best work

Responsibilities:

• Manage a portfolio of customers

• Act as a strategic transformation partner

• Build and manage C-suite relationships

• Lead value realization and ROI delivery

• Orchestrate complex cross-functional programs

Benefits:

• Generous PTO, plus company holidays

• Medical, dental, and vision coverage

• Paid parental leave for all parents (12 weeks)

• Fertility and family planning support

• Early-detection cancer testing through Galleri

Experience Requirements:

• 5-9 years in customer facing roles: customer success, implementation management, solutions consulting

Other Requirements:

• Technical aptitude and AI enthusiasm

• Skilled in enablement and change management

• Comfortable being adaptive and bringing order to ambiguous situations

Responsibilities:

• Scale activation frameworks

• Lead customer AI program strategy

• Translate technical challenges into solutions

• Own customer success plans and strategic relationships

• Drive platform usage and adoption

Benefits:

• Generous PTO, plus company holidays

• Medical, dental, and vision coverage

• Paid parental leave for all parents (12 weeks)

• Fertility and family planning support

• Early-detection cancer testing through Galleri

Experience Requirements:

• 8+ years experience developing on-demand, VILT and ILT learning experiences

Other Requirements:

• Proficiency with Adobe Creative Cloud, Figma and Parta.io

• Expertise in research-informed learning design

• Generative AI passion and proficiency

• Agility in ambiguity

Responsibilities:

• Craft engaging learning pathways

• Design dynamic, visually compelling experiences

• Collaborate across teams

• Identify and address gaps

• Leverage research-informed strategies

Benefits:

• Generous PTO, plus company holidays

• Medical, dental, and vision coverage

• Paid parental leave for all parents (12 weeks)

• Fertility and family planning support

• Early-detection cancer testing through Galleri

Experience Requirements:

• Over 10 years in customer facing roles

Other Requirements:

• Technical aptitude and AI enthusiasm

• Exceptional executive presence

• Comfortable embedding with customers

Responsibilities:

• Scale activation frameworks

• Lead customer AI program strategy

• Translate technical challenges into solutions

• Own customer success plans and strategic relationships

• Drive platform usage and adoption

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• 4+ years of product management experience

• 1-2 years working on AI/ML products

• Experience shipping AI/ML products to production at scale

• Experience with modern ML/AI systems and LLMs

• Track record of partnering with engineering and research teams

Other Requirements:

• Deep curiosity about AI

• Comfortable with infrastructure and MLOps work

• Strong strategic thinking and data-driven decision making

Responsibilities:

• Make build vs. buy decisions for model training

• Own the evaluation and quality strategy for models

• Partner with product teams to advise on model architectures

• Optimize COGS and scale research infrastructure

• Manage research timelines and dependencies

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• 10+ years of experience in B2B SaaS demand generation

• 3-5 years in a leadership role managing teams

• Expertise across acquisition, engagement, and nurture channels

• Knowledge of AI-powered marketing stacks (Cargo, Clay, n8n)

• Experience marketing creative or AI-native products

Other Requirements:

• Analytical mindset with command of marketing metrics

• Exceptional collaboration and communication skills

• Strategic thinker with a bias for action

Responsibilities:

• Build and lead overall demand generation and growth strategy

• Develop systems to scale pipeline generation

• Own MQLs and execute multi-channel campaigns

• Partner with Sales and RevOps on funnel KPIs

• Mentor and manage a team of growth marketing professionals

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• 15+ years as a proven product marketing leader

• Experience in SaaS business and marketing technical products

• 7+ years of people-management

• Data fluency with Hex and Amplitude

• Fluency with creative tools

Other Requirements:

• Strong influential leadership

• Exceptional written and verbal communication

• Broad curiosity in technical aspects of products

Responsibilities:

• Define positioning and messaging for AI products

• Operationalize Ideal Customer Profiles (ICPs)

• Evolve pricing and packaging models

• Own GTM strategy for major launches

• Provide sales enablement materials and competitive insights

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• 7 to 10+ years of experience in strategic finance or growth analytics

• Strong GTM intuition and ARR modeling experience

• Advanced SQL skills

• Experience supporting both B2B and B2C SaaS models

• Experience with monetization experiments and pricing

Other Requirements:

• Comfortable with ambiguity and building from scratch

• Clear communicator

• Solid understanding of SaaS metrics

Responsibilities:

• Own top of funnel and growth models

• Own sales-led revenue forecasting

• Build and maintain GTM financial models

• Partner with data team to define metrics and dashboards

• Identify growth opportunities across self-serve and sales motions

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• 5+ years of software engineering experience

• 2+ years of engineering management experience

• Experience hiring and developing strong engineering talent

• Experience building creative tools

Other Requirements:

• Strong product sense

• Clear and effective communicator

• Data-driven thinker

Responsibilities:

• Own execution and manage team priorities

• Define team direction in collaboration with Product and Design

• Recruit, mentor, and grow software engineers

• Drive operational excellence in engineering processes

• Guide architectural decisions and technical bar

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• Full-stack product engineer background

• Well versed in web development and associated devtools

• Experience with Typescript, REST API development, and relational DBs

• Track record evolving complex systems to accommodate growth

• Experience integrating 3rd party services

Other Requirements:

• Competent thinking about security risks & mitigations

• Solid collaboration and communication

• Growth mindset

Responsibilities:

• Own technical design and delivery of features across the stack

• Write high-quality testable code

• Drive exploration and cross-team collaboration

• Proactively improve the tech stack with tooling and abstractions

• Provide mentorship for other Engineers

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• Experience in deploying and managing AI models in production

• Experience with large volume data pipelines (spark, flume, dask)

• Familiarity with cloud platforms and container technologies

• Knowledge of DevOps and MLOps best practices

• Experience with generative AI models

Other Requirements:

• Strong problem-solving abilities

• Excellent communication skills

Responsibilities:

• Build and maintain third-party model integrations

• Design and maintain AI infrastructure supporting ML life cycle

• Collaborate with PMs and researchers to ensure robust systems

• Optimize and scale models for efficient inference

• Deploy, monitor, and manage AI models in production

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• 5+ years experience in production/site-reliability engineering or server-side engineering

• Understanding of public cloud infrastructure

• Understanding of Linux systems administration

• Understanding of DevOps tooling

• Experience mentoring engineers

Other Requirements:

• Basic coding skills for automation

• Strong written and verbal communication skills

• Ability to make strategic decisions

Responsibilities:

• Develop solutions to improve quality and reliability of product features

• Drive improvements to core infrastructure and observability systems

• Champion best practices during reviews

• Own incident management and fire drill processes

• Work with engineering leadership to set goals

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• 5+ years of professional product engineering or fullstack experience

• Worked with Typescript, React, and RESTful APIs

• Solid CS fundamentals (data structures, algorithms, databases)

• Experience building agents or experiences powered by LLMs

Other Requirements:

• High ownership and growth mindset

• Ability to work in collaborative environments

Responsibilities:

• Experimentation to push limits on quality for video editing agent

• Building product experience for agentic video editing interactions

• Laying foundations for developer experience for building agents

• Tuning prompt templates and user workflows

Benefits:

• generous healthcare package

• 401k matching program

• catered lunches

• flexible vacation time

Experience Requirements:

• 5+ years of professional fullstack software engineering experience

• Expertise in Typescript, React, and RESTful APIs

• Solid CS fundamentals (data structures, algorithms, databases)

• Experience building creative tools

• Ability to thrive in collaborative environments

Other Requirements:

• Desire to have a high degree of ownership and accountability

• Deep understanding of system design principles

Responsibilities:

• Building traditional editing functionality

• Integrating in-house and third-party AI functionality

• Supporting the data model and systems that manage project state

• Building media management features for organizations

Benefits:

• Competitive salary

• Benefits

• Remote working

Experience Requirements:

• Experience in operations in marketplace or platform environments

• Experience supporting AI/ML lifecycle projects

• Strong project management skills

• Proficiency in operational tools (Zapier, Asana, etc)

• Experience in implementing and optimising processes

Other Requirements:

• Confidence with data analysis and operational metrics

• Exceptional communication and documentation skills

Responsibilities:

• Execute end-to-end operational processes for participant pools

• Manage participant onboarding, verification, and activation

• Identify gaps in participant supply

• Transform manual processes into scalable technology solutions

• Communicate operational changes to stakeholders

Benefits:

• Base salary

• Equity

• Benefits

• Cash variable element

• Bonus or commission

Experience Requirements:

• Over 4 years of experience in a product engineering role

• Familiar working in both monoliths and distributed systems

• Experience supporting applications in production environments

• Experience with Python (Django & Fast API)

• Experience with TypeScript, JavaScript, and Vue.js

Other Requirements:

• Work 2-3 days per week from San Francisco office

• Experience with SQL and NoSQL databases

• Experience with cloud deployment (GCP, Kubernetes)

Responsibilities:

• Solve customer and product problems across domains

• Work directly with frontier AI companies

• Collaborate with account managers and customer success specialists

• Support systems in production and respond to incidents

• Make critical technical decisions for scalability and reliability

Benefits:

• Base salary

• Equity

• Cash variable element

• Bonus

• Commission

Experience Requirements:

• 6+ years in a customer-facing strategic or enterprise customer success role

• Experience developing strategic success plans

• Experience forecasting consumption to identify opportunities

• Success navigating large organizations and cultivating executive relationships

• Fundamental understanding of AI, machine learning, and LLMs

Other Requirements:

• Located in San Francisco or within a 1.5-hour commute

• Strong business acumen

Responsibilities:

• Partner with frontier AI model creators to ensure success

• Own the end-to-end success lifecycle from onboarding to renewal

• Lead business reviews and executive engagements

• Drive continuous improvement of success playbooks

• Interface with technical teams like engineers and data scientists