AI Jobs

Benefits:

• Share Option!

• Flexible working!

• Annual Leave!

• Annual off-site

• Purpose driven!

Experience Requirements:

• 5+ years of experience in sales, business development, or growth roles, ideally in SaaS, AI, or technology-driven sectors, with a track record of exceeding revenue targets.

Responsibilities:

• Source, drive and build a robust sales pipeline through proactive prospecting, outreach, and networking in new markets, targeting key accounts and high-value leads.

• Establish and nurture strategic partnerships with potential clients, channel partners, and industry influencers to accelerate business growth and market penetration.

• Lead the charge in identifying new market opportunities and ideal customer accounts, craft go-to-market strategies and execute plans to expand our presence across the U.S.

• Lead and manage the full sales cycle from lead generation to closing, ensuring consistent progress, forecasting, and achieving monthly/quarterly revenue targets.

• Work with Customer Success Lead to cultivate long-term relationships with clients, ensuring satisfaction, repeat business, and continuous value creation through consultative selling and tailored solutions.

Education Requirements:

• Bachelor’s degree in Graphic Design or related field.

Experience Requirements:

• Minimum of three years of graphic design experience, with a preference for those who have worked in an agency or fashion environment.

• Demonstrable proficiency in multi-channel design, including but not limited to email campaigns, paid advertising, and social media content.

Responsibilities:

• Develop visually compelling, contemporary designs for a range of channels, ensuring adherence to brand consistency while maintaining each brand’s unique identity.

• Collaborate with interdisciplinary teams to comprehend project requirements and produce innovative design solutions.

• Efficiently manage and prioritize concurrent projects, ensuring deadlines are met without compromising on the quality of output.

Experience Requirements:

• 1+ years

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-3 years of industry experience developing ETL (Data processing pipeline) to integrate large volumes of data from various sources with a variety of database technologies.

• Experience setting up and managing large data pipelines

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Work within the Data Science team to implement various data pipelines for our end-to-end solutions.

• Provide active input into the design of our data product offerings portfolio and our data dissemination framework.

• Integrate the right tools and methods for data enhancement, data quality, data obfuscation, privacy measurement and enhancement.

• Implement data security and access controls throughout the data pipeline.

• Develop actionable tools for monitoring the health of implemented pipelines and identify and fix issues in real-time.

Benefits:

• Health & Commuter Benefits

• Flexible PTO

Education Requirements:

• Degree within Computer Science, Data Engineering, or a related field.

Experience Requirements:

• 2-4+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.

• Hands-on experience in delivering production-ready code (Python, Java, etc.)

• Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake)

• AI/ML models, Natural language process (NLP) and data mining experience

Other Requirements:

• Are you ready to work (hybrid) out of our downtown Manhattan office 3 days a week (Tuesday-Thursday)? (no relocation benefits)

• Do you require any form of visa sponsorship or immigration support? (Includes new or transfer H1, O1, PERM, F1-OPT, STEM extensions, etc.)

Responsibilities:

• Process, cleanse, and verify the integrity of data used for downstream analytics products

• Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)

• Participate in strategic planning and be responsible for the team roadmap and its execution.

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Benefits:

• Remote-First Culture

• Cutting-Edge Technology

• Growth Opportunities

• Team Collaboration

• Mission-Driven Work

Responsibilities:

• Taking responsibility and ownership of features and eventually entire new products

• Writing the backend and/or frontend code for our AI property management system

• Anything else required - possibly improving our AI system, working on the frontend/backend of our product, etc.

Responsibilities:

• Taking responsibility and ownership of features and eventually entire new products

• Writing the backend and/or frontend code for our AI property management system

• Anything else required - possibly improving our AI system, working on the frontend/backend of our product, etc.

Experience Requirements:

• 6+ years

Experience Requirements:

• 6+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years

Experience Requirements:

• 3+ years