AI Jobs

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Disability insurance

Experience Requirements:

• 5+ years’ experience in programming for front- and back-end applications and databases.

Other Requirements:

• Familiarity with languages and frameworks such as Python, Typescript, Django and Next.js.

• Familiarity with Postgres, MongoDB, Apache Cassandra, Redis and Neo4J or other relational and non-relational database technologies.

• Basic knowledge of building applications in the cloud, with a preference on Azure cloud.

• Basic knowledge of Kubernetes and containerized development and deployment.

• Experience working on large scale Enterprise applications is preferred.

• Experience working with multi-mode data delivery such as API’s, events and file shares.

• Strong analytical and critical thinking skills to deliver value-added solutions.

• Commitment to client satisfaction serving as an advocate for our users.

Responsibilities:

• Work as part of a Scrum team to implement improvements to our applications.

• Work across geographies with a diverse software development team.

• Adapt and learn to work with new technologies.

• Provide front- and back-end development and deployment support.

• Develop containerized cloud services.

Benefits:

• Benefits package

• Restricted stock units

• Incentive compensation (may include)

Experience Requirements:

• 5+ years of solution engineering, consulting or implementation experience supporting Enterprise SaaS platforms

• Well-versed in database design and governance best practices and familiar with the Enterprise SaaS technology landscape

• Ability to understand and customize messaging and consulting across verticals, use cases and geographies

• Keen understanding of business workflows and comfortable using process mapping tools such as LucidChart and Visio

• Excellent communication skills: modulate style, deliver compelling presentations and product demonstrations

Other Requirements:

• Able to prioritize and influence customer priorities and demonstrate strong project management capabilities

• Able to influence customer priorities, prioritize competing demands, and balance customer needs against business priorities

• Highly collaborative team player who is comfortable navigating ambiguity and thrives collaborating with a broad range of cross-functional teams

• Able to adapt to new technologies and learn quickly

Responsibilities:

• Partner with Airtable Engagement Managers to validate scope for professional services engagements

• Deeply understand clients' business processes, requirements, and pain points; advise on best practices

• Advise customers on the creation and management of their data governance models

• Develop solution architecture designs, implementation plans, and project timelines

• Provide technical guidance and support to clients and internal teams throughout the implementation process

Benefits:

• Opportunity to work and collaborate with a global team spread across 6 countries

• Routine hackathons and learning boot camps to promote knowledge sharing

Education Requirements:

• Bachelor's degree in Journalism, Communications, Marketing, or a related field

Experience Requirements:

• 5+ years of experience in global SaaS marketing for SMB and mid-market businesses

Other Requirements:

• Excellent storytelling, writing, editing, and proofreading skills

• Customer-obsessed marketer who demonstrates a deep, data-based understanding of the user

• Exceptional communicator (written, verbal, and visual) who builds rapport with internal collaborators and customers

• Craft high-quality, plagiarism-free content that fuels both customer acquisition and adoption

• Prefer a "test and learn" approach to continuously optimize marketing campaigns

Responsibilities:

• Own the GTM strategy and execution for our suite of products and track relevant metrics in partnership with the Product team

• Develop and refine the positioning and messaging for our products, ensuring they stand out in a competitive market

• Collaborate closely with product management to align marketing strategies with product roadmaps and launches

• Research the market, share competitive intelligence, and build battle cards, pitch decks, and one-pagers required to support pipeline growth and drive conversions

• Own the process of gathering and analyzing customer feedback, and market and competitive data to inform product development and marketing strategies

Benefits:

• Opportunity to work and collaborate with a true team spread across 6 countries

• Routine hackathons and learning boot camps to promote knowledge-sharing

• Choose your own work hours

• Competitive 401k, PTO, and Healthcare

Education Requirements:

• Bachelor's degree in Marketing, Business Administration or relevant field

Experience Requirements:

• Proven work experience in Inside Sales, Sales or Business Development, Sales Prospecting, or similar roles

• B2B/SaaS sales experience is preferred

• Hands-on experience with multiple sales techniques

• Track record of achieving sales quotas, passion for sales and sales processes, and understanding of sales performance metrics

• Experience with CRM software - Ideally Salesforce

Other Requirements:

• Excellent communication and negotiation skills

• Ability to deliver engaging presentations

• Resilient in the face of objections

• Willingness and desire to work in a fast-paced and high-growth environment

• Highly organized and able to adapt to changing priorities

Responsibilities:

• Contact potential clients via phone and emails: You will be the gatekeeper for customers entering the funnel, ask them qualifying questions based on their persona, and set up meetings for the AE team

• Become a product expert across our entire platform and understand our competitor landscape

• Gain business knowledge through researching how different businesses operate, leadership structures, what their pain points are, and the challenges they face every day

• Identify client needs and suggest appropriate products/services; customize product solutions to increase customer satisfaction

• Build long-term trusting relationships with clients

Benefits:

• Competitive salary

• Early equity

• Healthcare

• Flexible PTO

Experience Requirements:

• Closed 6-figure deals and sold to product or insights teams

• Worked in early-stage B2B SaaS (Series A or seed-stage preferred)

• Experience selling research, analytics, or AI/ML platforms (nice to have)

• Strong outbound skills or interest in building outbound motion (nice to have)

• Prior experience in a founding AE or early seller role (nice to have)

Other Requirements:

• Self-starter who thrives in ambiguity and loves building from zero

• Naturally curious, great at discovery, and deeply customer-centric

• Excited about owning a number and being the tip of the spear in GTM

Responsibilities:

• Own the full sales cycle: from outbound prospecting to negotiation and close

• Sell to enterprise buyers: product teams, researchers, insights, and marketing leads

• Partner closely with the founders on strategy, messaging, pricing, and sales ops

• Run outbound: develop creative campaigns, test messaging, and break into new verticals

• Communicate closely with product: bring back learnings to continuously improve our product

Benefits:

• Competitive salary

• Early equity

• Healthcare

• Flexible PTO

Experience Requirements:

• 1-3 years of experience in a customer-facing or operations role

• Experience with customer research tools, SaaS products, or working in a startup environment (bonus)

Other Requirements:

• Highly organized with strong attention to detail

• Comfortable managing multiple projects and shifting priorities in a fast-paced environment

• Great communicator

• Scrappy and solutions-oriented

Responsibilities:

• Own the operational setup and execution of customer research projects

• Advise customers on participant recruitment, scheduling, or data capture in real time

• Work cross-functionally with Engineering and Product, communicating product feedback regularly

• Proactively communicate with customers about project status, delays, or needs for clarification

• Contribute to customer education by creating new content and educational videos

Benefits:

• Bonuses

• Equity

Experience Requirements:

• 2+ years of experience in software engineering, ML engineering, or data-focused development roles

• Exposure to deploying machine learning models or supporting AI/ML workloads in production environments

• Proficient in Python, with experience building ML models or working with frameworks like PyTorch, TensorFlow, or similar

• Experience with cloud platforms (AWS, GCP, Azure)

• Familiarity with MLOps concepts

Other Requirements:

• Strong communication skills and a collaborative mindset

• 50-80% travel to client sites

Responsibilities:

• Contribute to the development of reliable, scalable backend systems that power machine learning workflows and data pipelines

• Help manage and improve cloud infrastructure to support efficient model deployment and operational stability in real-world environments

• Participate in identifying and addressing engineering challenges, including those surfaced through direct client feedback and usage

• Work closely with ML engineers, data scientists, and external stakeholders to integrate machine learning capabilities into production systems

• Assist in developing internal tools and infrastructure to streamline experimentation, training, and model serving across varied use cases

Education Requirements:

• Master’s degree, or foreign degree equivalent, in Business Analytics, Statistics, Mathematics, Computer Engineering, or a related field

Experience Requirements:

• 4 years of experience in Machine Learning, Data Analytics, and Visualization.

• 4 years of experience creating Machine Learning pipelines and optimization

• 4 years of experience using open-source programming languages for large scale data analytics, including data handling and machine learning packages.

• 4 years of experience in creating machine learning models and strategies

• 1 year of experience in AI research and deep learning

Other Requirements:

• Employer will only employ those who are legally authorized to work in the United States for this opening.

• Any offer of employment is conditioned upon the successful completion of a background check and drug screen (as applicable).

Responsibilities:

• Build advanced machine learning models, including deep learning models, gradient boosting machines, time series models, statistical models and clustering analysis based on project requirements.

• Check model stability, model optimization and model performance measurements and perform exploratory data analysis, feature selection, and data visualization.

• Design, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions.

• Develop frameworks for tracking and measuring results produced by analytics models.

• Research new machine learning techniques and advanced analytics solutions and implement them on Ether, our Machine Learning and Artificial Intelligence based platform.

Education Requirements:

• A Bachelor’s degree or equivalent years of relevant advertising sales experience

Experience Requirements:

• 2 + years of programmatic or other advertising and media related sales knowledge and exposure

• Possess a strong background in political media to drive client success and revenue growth

Other Requirements:

• A Collaborator - contribute new ideas and knowledge sharing

• A driven professional and a true seller who can be agile in their sales efforts while being coachable and open to learning

• Uniquely add value and maintain camaraderie across the team

• Be resilient - remain encouraged in the face of change and rejection

• Apply curiosity, be unafraid to pivot and test new ideas

Responsibilities:

• Demonstrate familiarity with the solutions, strategies, and platforms important to political media buyers.

• Act as the subject matter expert on digital and programmatic related topics with a focus on successfully securing sales goals

• Develop sales strategies and grow existing business while securing new programmatic advertising revenue from political-focused clients

• Conduct outbound calls and emails to prospective clients, manage outreach via LinkedIn and other networking platforms

• Build and maintain a book of business with local advertisers, programmatic marketers and digital buyers for continued opportunities

Education Requirements:

• A Bachelor’s degree or equivalent years of relevant advertising sales experience

Experience Requirements:

• 2 + years of programmatic or other advertising and media related sales knowledge and exposure

• A strategic thinker who can build rapport with clients and execute plans to meet goals

Other Requirements:

• A Collaborator - contribute new ideas and knowledge sharing

• A driven professional and a true seller who can be agile in their sales efforts while being coachable and open to learning

• Uniquely add value and maintain camaraderie across the team

• Be resilient - remain encouraged in the face of change and rejection

• Apply curiosity, be unafraid to pivot and test new ideas

Responsibilities:

• Act as the subject matter expert on digital and programmatic related topics with a focus on successfully securing sales goals

• Develop sales strategies and communicate the offered services and products to new agency or brand relationships

• Conduct outbound calls and emails to prospective clients, manage outreach via LinkedIn and other networking platforms

• Build and maintain a book of business with local advertisers, programmatic marketers and digital buyers for continued opportunities

• Proactively familiarize yourself on current industry trends and developing AdTech strategies and solutions

Education Requirements:

• A Bachelor’s Degree or equivalent years of experience

Experience Requirements:

• 2+ years of consultative, sales or account management experience in the digital or programmatic advertising or media industry

• Previous client-facing experience, strong communication and interpersonal skills

Other Requirements:

• A collaborator and a contributor who will work cross-functionally with a variety of teams

• Effective time management and organizational skills with an ability to prioritize deadlines

• Comfortability working with numbers, data, and insights

• Familiarity with campaign performance indicators: CPC, CTR, VTR, Viewability, etc.

• Strong capabilities in Microsoft Excel, Google Sheets, and other similar tools

Responsibilities:

• Build rapport and maintain regular, proactive outreach to advertiser and agency clients on an ongoing basis

• Establish client goals and expectations while responding to client inquiries and concerns in a timely fashion

• Work with the Account Executives to provide support with existing and emerging products, solutions, and services that meet the client’s needs and increase revenue

• Lead client calls and resolve client challenges with exceptional customer service

• Participate in meetings with the Sales team regularly to review the status, issues, and opportunities for maximization of campaign optimization across sites

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Experience Requirements:

• Operational Experience: A proven record in managing complex projects or strategic leadership roles, with demonstrable experience in client-facing positions within AI or technology integration.

Other Requirements:

• Exceptional Communication Skills: Capable of earning customer trust and liaising effectively between clients and internal teams.

• User Empathy and Customer Focus: A deep sense of user empathy and a customer-obsessed approach, ensuring solutions are technically sound and aligned with customer needs.

• Thrive in Ambiguity: Ability to identify critical problems in complex situations, define outcomes, and create structure among competing priorities.

• AI Passion: A passion for AI and optimism about its potential to impact the world.

• Coding Experience: Proficiency in programming, scripting, or statistical packages (e.g., Python, R, Matlab, SQL).

• Travel: Ability to travel 25-75%, varying by team.

Responsibilities:

• Earn Customer Trust: Demonstrate customer empathy and be the face of Distyl, managing relationships from end-users to executive stakeholders.

• End-to-end Workflow & Outcome Ownership: Identify the most valuable problems to solve. Embed yourself in the customer's workflow to understand it better than the users themselves. Ensure high accuracy and reliability to achieve the desired outcomes. Take ownership and accountability for the success of the customer engagement.

• Leadership: You and a technical lead will be jointly responsible for leading a team to deliver results to the customer.

• Data Analysis: Navigate noisy enterprise data to identify how AI can create reliable outcomes despite real-world constraints.

• User Adoption: Onboard users to our enterprise applications and platform, ensuring they realize value. Editorial Note: The original extract provided 6 distinct responsibilities. Given the schema limit of 5, the last responsibility, "Product Feedback", was omitted to adhere to the constraint.

Benefits:

• Competitive salary and benefits package, including equity options and healthcare.

• The opportunity to work at a mission-driven AI startup that is transforming how Fortune 500 companies operate.

• A fast-paced, dynamic work environment where your contributions will directly impact the company’s success.

• A collaborative culture that values professional growth and encourages taking on new responsibilities.

• Exposure to cutting-edge AI technologies and the opportunity to support a world-class team.

Experience Requirements:

• Experience: 1-3 years in a role focused on office management or administrative support, ideally in a startup or fast-paced environment.

Other Requirements:

• Skills: Strong organizational and time-management skills, with the ability to manage competing priorities and handle confidential information.

• Attention to Detail: Exceptional attention to detail, ensuring precision in all tasks and processes.

• Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively across teams.

• Problem-Solving: A proactive and resourceful mindset, with a knack for identifying and resolving operational challenges efficiently.

• Logistics: This is a hands-on role where you'll be

Responsibilities:

• NY Office Management – 20% - Ensure the New York office is clean, stocked, and operational. Own office logistics, supplies, visitor experience, and support an upcoming office move.

• Culture & Engagement – 10% - Coordinate team events, celebrations, swag, and engagement programs that foster connection across offices. Support internal communications and feedback loops to continuously improve the employee experience.

• Onboarding Support – 10% - Deliver a smooth onboarding experience for new hires across NY and SF, including Day 1 logistics, scheduling, and in-person support. Coordinate onboarding communications, account setup, and monthly onboarding cohorts.

• Recruiting Coordination – 30% - Manage interview scheduling and candidate logistics across phone, video, and onsite interviews. Partner with recruiters and hiring managers to ensure a seamless, timely, and positive candidate experience. Own onsite interview operations for the NY office and help resolve scheduling changes efficiently.

• Administrative Operations – 30% - Support day-to-day operational needs, including recurring admin tasks, internal tracking, and IT coordination. Assist with planning and logistics for team offsites, colocations, and cross-functional projects.

Benefits:

• An opportunity to advance the cutting-edge of LLM research and directly revolutionize work in the enterprise space.

• Ownership of high-impact research projects, with the autonomy to explore novel approaches and solutions.

• Access to state-of-the-art AI models, real business problems, and proprietary data sets across a diverse range of real-world industries.

• Competitive salary and benefits package, including equity options and healthcare.

• Be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity. Editorial Note: The original extract provided 6 distinct benefits. Given the schema limit of 5, the last benefit, "A collaborative and intellectually stimulating environment that encourages innovation and personal growth.", was omitted to adhere to the constraint.

Experience Requirements:

• Exceptional Software Engineering Skills: AI’s rapid evolution means code written today might not be useful tomorrow. We need engineers who know how to design and write stable, maintainable, and secure systems that are able to evolve. We use Python but are open to strong experience in other languages.

• Experience with AI Systems: You should know how to build a RAG system, done prompt engineering, and know the difference between precision and recall. While you'll partner with our Research Team to design these systems, you must be able to do the work to drive a POC to a production grade AI tool.

Other Requirements:

• Strong Communication and Organizational Ability: As the project technical lead, you will own relationships with customer technical teams, develop a plan with Distyl’s Project Leads, and work with the rest of the engineering team to deliver.

• Understanding of Enterprise Cloud Architectures: Our systems are deployed into our customer's environments, often into complex hybrid cloud environments. Our business is won on our Lead AI Engineer’s abillity to be trusted by customer enterprise architecture teams.

• Biases Towards Showing vs Telling: Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.

Responsibilities:

• Develop Production Grade AI Systems: For many of our customers we are their only successful GenAI project (and not for the lack of trying). This is because our AI Engineers are experts at understanding how to use software to tame the complexity of AI. They understand power and limits of both AI and Software and build systems which bring the best of both.

• Own End to End Delivery of Custom AI Solutions: Lead AI Engineers are responsible for architecting the solution, partnering with customer engineers to deploy into the customer’s environment, and then ensure the system operates as intended.

• Earn Our Customer's Trust: AI's power has yet to be fully realized, but there are already a lot of broken promises. All Distillers are customer facing and our engineers are responsible for making sure our promises are kept. You will partner with our AI strategists and researchers to devise a solution, present it customer enterprise architects, and then educate them on how our system works.

Benefits:

• Competitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.

• Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.

• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.

• Collaborative and supportive work environment, with a strong focus on personal and professional growth.

• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.

Education Requirements:

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.

Experience Requirements:

• 3+ years of experience as a software or machine learning engineer.

• Strong programming skills and experience with production software development.

• Expertise in machine learning frameworks (e.g., PyTorch, Transformers, Scikit-learn), data libraries (e.g., NumPy, Pandas), and ML operations.

• Experience with cloud infrastructure and modern deployment practices (e.g., CI/CD, Git, Docker, AWS/GCP/Azure).

Other Requirements:

• Strong understanding of AI/ML evaluation and how to operationalize responsible, reliable systems.

• Strong communication and collaboration skills, with the ability to work cross-functionally with customers and internal teams.

• Passion for AI and a pragmatic approach to solving real-world problems.

Responsibilities:

• LLM Systems Engineering: Design and implement robust LLM-powered systems that deliver real business value. This includes model evaluation, prompt design, agent logic, pilot development, and production deployment.

• Customer Collaboration: Work closely with customer stakeholders to understand business pain points and technical constraints, then translate these into technical architectures and applications.

• Platform Development: Contribute to the development of Distillery, our internal platform for LLM application development, by building reusable components, tools, and infrastructure to support the broader engineering team.

• Production Quality: Ensure that deployed systems are observable, maintainable, and meet rigorous performance and reliability standards.

• AI Evaluation: Apply a scientific and thoughtful approach to model vetting and evaluation, accounting for accuracy, explainability, cost, latency, and robustness. Editorial Note: The original extract provided 7 distinct responsibilities. Given the schema limit of 5, the responsibilities

Benefits:

• A Pod of their own

• Full access to health, vision, and dental insurance

• Flexible PTO

• Commuter benefits

• Paid parental leave

Education Requirements:

• BA/BS in Computer Science, or equivalent experience

Experience Requirements:

• 5+ years of experience shipping high-quality consumer web apps using React

• Expertise in Javascript, TypeScript and Node.js

• End-to-end knowledge of modern web app architecture

• Familiarity with manipulating and processing complex data

Other Requirements:

• Work Authorization Required

• Unable to relocate new hires

• Excited about health and fitness technology

• Desire to make an outsized impact

• Willing to roll up sleeves and use any language/framework

Responsibilities:

• Build and own full stack consumer experiences, from pixel-perfect interfaces to robust, scalable backend infrastructure

• Run experiments and iterate towards a best-in-class ecommerce storefront that accelerates growth and serves as a compelling first touchpoint for our future members.

• Collaborate with product managers, designers, and engineers across the organization to bring our game-changing member experience to the web

• Shape the future of our growing software team by laying the groundwork for new product areas