AI Jobs

Benefits:

• Competitive salary and equity

• Flexible remote work culture

• Learning budget

• Premium AI tools (ChatGPT, Claude, etc.)

• Travel to customer sites

Experience Requirements:

• 3+ years in a technical role involving customer interactions at a high-growth SaaS company

• Experience with enterprise CX platforms (Zendesk, Gorgias, Kustomer, etc.)

• Excellent project management skills

• Solid understanding of CX workflows, pain points, and metrics

Other Requirements:

• Working in North American time zones is a must

Responsibilities:

• Partner with CX leaders on AI-first transformation roadmaps

• Lead Automation Workshops and deliver AI Manager Training sessions

• Conduct automation audits and systematic QA on customer environments

• Triage technical issues and keep support/engineering teams accountable

• Identify and support upsell and cross-sell opportunities

Benefits:

• Medical, dental and vision insurance

• 401(k) plan with Cisco matching contribution

• Paid parental leave

• Grants of Cisco restricted stock units

• Flexible vacation time off program

Education Requirements:

• Bachelors degree

• Master’s degree

Experience Requirements:

• 2 years of relevant experience with Bachelors

• 0 years of relevant experience with Masters

Other Requirements:

• Experience with Market Research, Competitive Analysis, or Strategic Planning

• Experience formulating Product Roadmaps

• Proficiency in Python, C++, SQL

• Knowledge of Agile Methodologies

• Experience with AI and machine learning models

Responsibilities:

• Define strategy and roadmap for Generative AI and LLM features

• Collaborate with AI/ML researchers and data scientists

• Identify and validate high-impact AI/ML opportunities

• Partner with cross-functional teams for product delivery

• Define, track, and report on key product metrics

Benefits:

• 8 benefits

Benefits:

• 8 benefits

Other Requirements:

• Link to portfolio required

• Consent to the recording of meetings and transcription during interactions

• Consent to qualifications and skills assessment for this and future roles

Experience Requirements:

• 5+ years of experience as a Design or Creative Lead, with hands-on expertise in product design for consumer-facing products

Other Requirements:

• A proven track record of successful and innovative projects, with a portfolio that highlights intuitive and delightful user experiences

• Deep experience with generative AI tools and a strong understanding of their applications and constraints in creative workflows

• The ability to think from first principles, approach problems with fresh perspectives, and develop effective solutions to new design challenges

• Mastery of modern design tools (e.g., Figma) and graphic design software (e.g., Adobe Creative Suite)

• Strong communication skills and a collaborative mindset, with the ability to incorporate feedback and contribute to a dynamic, cross-functional team

• A passion for connecting people, creators, and communities through simple, thoughtful, and creative design

Responsibilities:

• Define and drive the end-to-end design process, from ideation to final execution, ensuring simple, self-explanatory, and innovative user experiences

• Collaborate closely with product, engineering, marketing, and other designers to align on priorities and deliver impactful, simple solutions

• Lead the design of projects that push the boundaries of generative AI tools for image and video creation and editing, leveraging a deep understanding of their capabilities and limitations

• Create rapid prototypes and interactive mockups to test, iterate, and communicate ideas effectively

• Conduct user research and engage with beta testers to gather insights, validate designs, and refine the product experience

Experience Requirements:

• 5+ years driving growth and product management in a startup, ideally within SaaS or creative tech

• Proven record using analytics, experimentation, and data to scale acquisition, engagement, retention, and monetization

• Strong analytical skills with hands-on experience in tools like Amplitude and a rigorous approach to testing and funnel optimization

• Demonstrated ability to collaborate cross-functionally, influence without authority, and unite teams around shared growth goals

• Exceptional communication skills, able to translate complex data into clear, actionable insights for varied audiences

Other Requirements:

• Entrepreneurial, curious, and passionate about pushing the frontier of AI-native creative experiences

• Comfortable adapting in a fast-paced, evolving environment, pivoting quickly if needed

Responsibilities:

• Solve complex product and growth challenges in a fast-evolving environment, applying innovative thinking to navigate ambiguity and unlock scalable opportunities

• Take full ownership of defining, executing, and iterating on end-to-end growth strategies, across acquisition, activation, retention, and expansion, to drive subscription and API revenue

• Establish and refine data-driven experimentation frameworks to validate hypotheses, improve onboarding, and boost conversion, engagement, and retention

• Collaborate with marketing, product, engineering, machine learning, and data teams to identify and prioritize high-impact product initiatives

• Engage with the Ideogram community and leverage user behavior insights, funnel analytics, and feedback loops to inform decision-making

Experience Requirements:

• More than 3 years of experience in marketing, ideally as an early marketing hire at an early-stage startup

• Proven success in driving growth through innovative marketing strategies

• Strong understanding of SEO, email marketing, digital marketing, and content creation

• Experience managing contractors or freelancers to execute marketing plans

• Proficiency with analytics platforms and marketing automation tools

Other Requirements:

• Excellent communication and leadership skills with a proactive approach to marketing ownership

• Experience engaging with influencers and leveraging partnerships to grow brand visibility

• Ability to thrive in a fast-moving environment where creativity and data-driven decisions go hand in hand

Responsibilities:

• Content Marketing: Optimize organic traffic through compelling content

• Growth Marketing: Develop and implement strategies to drive user acquisition, activation, retention, and revenue growth

• Product Marketing: Partner with product teams to craft go-to-market strategies, positioning, messaging, and product launches

• Email Marketing: Build and manage email marketing campaigns to nurture user engagement, improve retention, and drive conversions

• Social Media & Influencer Engagement: Oversee social media channels to build brand awareness, engage with the community, and manage partnerships with influencers to amplify our reach and visibility

Education Requirements:

• PhD or Master’s degree in Computer Science or equivalent industry experience

Experience Requirements:

• 2+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use

• Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP)

• Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch)

• Experience communicating complex research to peers

• Solid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systems

Other Requirements:

• Experience in low-level machine learning optimization, such as writing CUDA kernel code

Experience Requirements:

• 5+ years developing innovative and delightful consumer experiences at scale in HTML, CSS, JS, React, Angular, NodeJS, Flask, etc

• Background and experience with modern design processes and tools like Figma

• Experience building user friendly experiences based on design and product requirements

• Knowledge of core CS fundamentals

• Strong analytical and problem-solving skills

Other Requirements:

• Self-starter - able to come up to speed on complex, difficult concepts with minimal assistance

• Proven track record of communicating complex technical issues across teams

• Curiosity and excitement about generative AI technology and its impact on the creative economy

• Bachelor's degree in Computer Science, Engineering, or related fields

Responsibilities:

• Your ideas will help shape the direction of our product(s)

• You will build out consumer-facing features to power the future of inspiration to the planet

• You will learn about new technologies and discuss solutions to problems

• You will own end-to-end feature development

• You will write clean, testable, peer-reviewed code

Education Requirements:

• Doctoral

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• 20 vacation days

• Day one health benefits

• Unlimited sick days

• Stock options

• Free lunch once a week

Education Requirements:

• Computer Science, Engineering or related degree, preferably MS or PhD

Experience Requirements:

• 2+ years of related experience

Other Requirements:

• Thorough understanding of deep neural nets

• Experience developing the internals of modern optimizing compilers

• Understanding of advanced optimization techniques

Responsibilities:

• Build software that maps a neural net onto our hardware

• Devise and implement multiple data layout strategies

• Build a tool that will solve a network layout for a set of constraints within the hardware given the available strategies

• Implement efficient mappings between data layouts

• Evaluate current and proposed hardware architecture for future products