AI Jobs
Find the latest job opportunities in AI and tech
Find the latest job opportunities in AI and tech
Find the latest job opportunities in AI and tech
Engineering Manager, Data Infrastructure (US)
Onehouse is a fully managed cloud data lakehouse built on Apache Hudi that ingests data in minutes and supports all query engines.
Benefits:
Competitive Compensation
Equity Compensation
Health & Well-being
Financial Future
Location
Experience Requirements:
8-10+ years of software engineering experience in Java, 5+ years working on data systems and possess deep technical knowledge and skills, staying current with the latest technologies, frameworks, and best practices.
4+ years of experience leading teams building data systems, have a track record of successfully leading and mentoring teams.
You excel in project management, with the ability to plan, execute, and deliver projects on time and within budget.
You are an effective communicator, capable of conveying technical concepts to non-technical stakeholders and ensuring that your team is aligned with the company’s vision and goals.
You are a strategic thinker and a problem solver, always looking for ways to improve processes and outcomes
Responsibilities:
As an engineering leader in the Data Infrastructure team, you will create the vision for and enable the team to build and productionize the next generation of our data tech stack.
Balance a mix of people management and technical hands-on work, with an eye towards building for the long term by setting a high bar for technical design, code quality and developing our engineers into high performing, technical leaders that are skilled and excited to build the next generation data stack.
Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads.
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Senior Software Engineer, Open Source (US)
Onehouse is a fully managed cloud data lakehouse built on Apache Hudi that ingests data in minutes and supports all query engines.
Benefits:
Competitive Compensation
Equity Compensation
Health & Well-being
Financial Future
Location
Experience Requirements:
5-7+ years building large-scale data systems.
You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions.
Positive attitude towards seeking solutions to hard problems, with a bias towards action and forward progress.
An ability to quickly prototype new directions, shape them into real projects and analyze large/complex data.
Strong, object-oriented design and coding skills with Java, preferably on a UNIX or Linux platform.
Responsibilities:
Build, design and deliver features/improvements to Apache Hudi.
Ensure high quality and timely delivery of innovations and improvements in Apache Hudi.
Dive deep into the architectural details of data ingestion, data storage, data processing and data querying to ensure that Apache Hudi is built to be the most robust, scalable and interoperable data lakehouse.
Own discussions and work with open source partners/vendors to: troubleshoot issues with Hudi, ensure Hudi support in for compute engines like Pretso/Trino and act as the face of Hudi to the community at large via meetups, customer meetings, talks etc.
Partner with and mentor engineers on the team
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Software Engineer (US)
Onehouse is a fully managed cloud data lakehouse built on Apache Hudi that ingests data in minutes and supports all query engines.
Benefits:
Competitive Compensation
Equity Compensation
Health & Well-being
Financial Future
Location
Experience Requirements:
3+ years of experience as a software engineer with experience developing distributed systems.
Strong, object-oriented design and coding skills with Java.
Experience with inner workings of distributed (multi-tiered) systems, algorithms, and relational databases.
Deal well with ambiguous/undefined problems; ability to think abstractly; articulate technical challenges and solutions.
Speed and hustle → Ability to prioritize across feature development and tech debt
Responsibilities:
Build systems that enable users to manage petabytes of data with a fully managed cloud service.
Build functionality that enables data systems to be cloud native (self managed), scalable (auto scaling) and secure (different levels of access control).
Build scalable job management on Kubernetes to ingest, store, manage and optimize petabytes of data on cloud storage.
Design systems that help scale and streamline metadata and data access from different query/compute engines.
Exhibit full ownership of product features, including design and implementation, from concept to completion
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Tech Lead Manager, Data Infrastructure (US)
Onehouse is a fully managed cloud data lakehouse built on Apache Hudi that ingests data in minutes and supports all query engines.
Benefits:
Competitive Compensation
Equity Compensation
Health & Well-being
Financial Future
Location
Experience Requirements:
8-10+ years of software engineering experience in Java, 5+ years working on data systems and possess deep technical knowledge and skills, staying current with the latest technologies, frameworks, and best practices.
2+ years of experience leading teams building data systems, have a track record of successfully leading and mentoring teams.
You excel in project management, with the ability to plan, execute, and deliver projects on time and within budget.
You are an effective communicator, capable of conveying technical concepts to non-technical stakeholders and ensuring that your team is aligned with the company’s vision and goals.
You are a strategic thinker and a problem solver, always looking for ways to improve processes and outcomes
Responsibilities:
As an engineering leader in the Data Infrastructure team, you will create the vision for and enable the team to build and productionize the next generation of our data tech stack.
Balance a mix of people management and technical hands-on work, with an eye towards building for the long term by setting a high bar for technical design, code quality and developing our engineers into high performing, technical leaders that are skilled and excited to build the next generation data stack.
Accelerate our open source <> enterprise flywheel by working on the guts of Apache Hudi's transactional engine and optimizing it for diverse Onehouse customer workloads.
Show more details
Staff Software Engineer, Open Source (US)
Onehouse is a fully managed cloud data lakehouse built on Apache Hudi that ingests data in minutes and supports all query engines.
Benefits:
Competitive Compensation
Equity Compensation
Health & Well-being
Financial Future
Location
Experience Requirements:
10+ years building large-scale data systems.
3+ years experience leading teams and working with others to deliver on team goals.
You embrace ambiguous/undefined problems with an ability to think abstractly and articulate technical challenges and solutions.
Positive attitude towards seeking solutions to hard problems, with a bias towards action and forward progress.
An ability to quickly prototype new directions, shape them into real projects and analyze large/complex data.
Responsibilities:
Lead the team building Apache Hudi to design and deliver features/improvements.
Ensure high quality and timely delivery of innovations and improvements in Apache Hudi.
Dive deep into the architectural details of data ingestion, data storage, data processing and data querying to ensure that Apache Hudi is built to be the most robust, scalable and interoperable data lakehouse.
Own discussions and work with open source partners/vendors to: troubleshoot issues with Hudi, ensure Hudi support in for compute engines like Pretso/Trino and act as the face of Hudi to the community at large via meetups, customer meetings, talks etc.
Partner with and mentor engineers on the team
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Data Engineering Intern
AI-powered asset management and predictive maintenance platform for the energy industry, increasing efficiency and reducing costs.
Education Requirements:
Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.
Current BS or MS student or recent graduate. CS major is a plus
Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.
BS or MS in Computer Science or related field
Experience Requirements:
Strong understanding of data engineering principles using big data technologies
Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus
Experience with distributed computing using Hadoop and Spark
Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue
Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development
Responsibilities:
participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms
participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform
participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms
participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform
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Full Stack/IOT Intern
AI-powered asset management and predictive maintenance platform for the energy industry, increasing efficiency and reducing costs.
Education Requirements:
Current BS or MS student or recent graduate. CS major is a plus
Experience Requirements:
React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s
Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design
Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus
Experience with Elasticsearch/ELK stack a plus
Contribute with ideas to overall product strategy and roadmap
Responsibilities:
participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform
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Data Science Intern
AI-powered asset management and predictive maintenance platform for the energy industry, increasing efficiency and reducing costs.
Education Requirements:
Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred
Experience Requirements:
Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application
Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM
Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those
Excellent programming skills in prototyping languages such as Python and R. Python is preferred
Responsibilities:
participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms
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Senior Product Marketing
AI-powered customer support agent that reduces workflow and enhances customer experience.
Benefits:
Competitive pay
Insurance
Paid vacation
Work from home
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Account Executive - Mid Market
Rep AI is a Shopify AI chatbot that boosts sales, reduces support tickets, and provides shopper intelligence. It proactively engages shoppers, answers questions, and guides them through the purchase process.
Benefits:
Supportive team environment
Flexible schedule
Competitive salary
Best-in-class benefits package (medical, dental, vision coverage, health savings accounts, flexible paid time off, 401(k), company-paid holidays, and continuous learning opportunities)
Experience Requirements:
2+ years of experience in closing sales, ideally in SaaS & eCommerce
Skilled at working with strategic accounts with multiple stakeholders
Strong technical selling skills, with a solid understanding of eCommerce and competitive landscape
Resilient, seeing challenges as growth opportunities
Engaging, thoughtful, and a skilled relationship builder
Other Requirements:
Located in the US, East Coast preferred
Team player
Work US hours
Great interpersonal and communication skills
Good time-management skills
Sales Pipeline Management
eCommerce Expertise
Responsibilities:
Grow REP AI’s Mid-Market client base and contribute to a company-wide initiative
Actively manage your pipeline to develop a strategy for long-term success
Support your peers and contribute to a collaborative team environment
Demonstrate REP AI’s values of accountability and effort
Mentor new Account Executives and help them succeed
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Senior Sales Executive
Signature AI provides a private, secure, and scalable AI platform for enterprise content creation, specializing in image generation and custom model training.
Responsibilities:
Spearhead the company’s growth and operations in the US market
Develop and execute strategic plans
Manage client relationships
Drive business development efforts
Lead a dynamic team to ensure the successful deployment of AI solutions
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Junior Sales
Signature AI provides a private, secure, and scalable AI platform for enterprise content creation, specializing in image generation and custom model training.
Responsibilities:
Spearhead the company’s growth and operations in the EU market
Develop and execute strategic plans
Manage client relationships
Drive business development efforts
Lead a dynamic team to ensure the successful deployment of AI solutions
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Demand Generation Manager
Copyleaks is an AI-powered plagiarism and AI content detection tool for academic and professional use. It offers plagiarism checking, AI detection, and a writing assistant.
Experience Requirements:
At least 7-10 years experience directly building and managing ROI positive demand gen. programs in the tech space
Strong proficiency in advertising platforms such as Google, Facebook Manager, LinkedIn, programmatic, etc.
Strong analytical skills with experience using tools like Google Analytics, Data Studio, SEMrush, etc
Other Requirements:
Ability to manage multiple campaigns and deadlines in a fast-paced environment
Highly entrepreneurial with excellent communication and collaboration skills
An appetite to experiment and and learn via ‘failing forward’
Highly organized with a keen attention to detail
Responsibilities:
Develop and implement multi channel (i.e.: SEM, SEO, LI, email, events, media partnerships, etc.) demand gen strategies and campaigns to drive qualified leads and pipeline growth
Audit current campaigns and fully own pipeline creation and meeting monthly and quarterly SQL, meeting, and pipeline revenue targets
With sales, build an ABM playbook and calendar by recommending and managing partner platform(s), establishing content requirements, launching campaigns and continually optimizing
Partner with Product and Product Marketing to launch programs that drive new feature adoption, conversion and revenue generation
Based on self-serve funnels, CAC and LTV, recommend and launch multi-channel performance marketing campaigns that drive customer acquisition & ROI positive revenue growth and can scale
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Solution Engineer
Copyleaks is an AI-powered plagiarism and AI content detection tool for academic and professional use. It offers plagiarism checking, AI detection, and a writing assistant.
Experience Requirements:
5 years of experience in a customer facing technical sales role
Knowledge of HTTP Rest APIs is required
Other Requirements:
Former experience with onboarding clients that involve API integrations – An advantage
High-energy, fast learner, and entrepreneurial mindset
Ability to thrive in a fast-paced and continuously developing environment
Strong analytical, organizational and documentation skills
Excellent communication and interpersonal skills
Responsibilities:
Partner with sales representatives through technical demos and overviews, implementation, and troubleshooting
Act as a subject matter expert for technical questions within business processes
Work cross functionally with development and commercial teams to make more efficient implementations
Lead meetings with customers to troubleshoot and provide solutions
Work with team to showcase technical features within product
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Enterprise Account Executive
Copyleaks is an AI-powered plagiarism and AI content detection tool for academic and professional use. It offers plagiarism checking, AI detection, and a writing assistant.
Education Requirements:
Bachelor’s degree or equivalent in a related field
Experience Requirements:
6-10 years of B2B SaaS Enterprise sales experience with a proven track record of exceeding targets
Other Requirements:
Must be located in the NYC or tri-state area (Hybrid)
Creativity and strong interpersonal skills to build relationships with new key contacts
Executive presence with excellent communication, presentation, and negotiation skills, both oral and written
Ability to understand and articulate complex technical aspects of potential technology integrations, quickly mastering new technologies
CRM expertise (HubSpot preferred), social selling prowess (including LinkedIn Navigator), Google Workspace proficiency
Responsibilities:
Develop a sales plan to prospect, build, manage and close deals, while ensuring coverage and penetration of your assigned verticals
Establish and cultivate lasting relationships with multiple senior contacts at target accounts, emphasizing engagement with C-Suite-level prospects
Exceed quarterly and annual sales goals by building a robust pipeline of prospects and closing new deals
Articulate and craft Copyleaks’ business value through compelling executive-level presentations, including technical details on API integrations
Negotiate favorable pricing and business terms with large commercial enterprises
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Product Marketing Manager
Copyleaks is an AI-powered plagiarism and AI content detection tool for academic and professional use. It offers plagiarism checking, AI detection, and a writing assistant.
Experience Requirements:
7-10 years experience in a similar capacity successfully launching and growing EdTech and/or SaaS products
Other Requirements:
Excellent written and verbal communication skills with a strong ability to create compelling product messaging and positioning that drives adoption
Highly entrepreneurial with a strong desire to learn and grow
Proactive in offering recommendations, going above and beyond, and thinking 3 steps ahead
Highly organized with keen attention to detail
Experience working in a fast-paced, team environment
Responsibilities:
Develop a deep and thorough understanding of our products, personas, clients, competitors and industry trends
Establish key product positioning, messaging, and competitive differentiation across our full product portfolio
In conjunction w. Product, regularly conduct market research, competitive research, and customer research, using findings to stay ahead of industry trends, understand customer needs, and identify opportunities for innovation and differentiation
Collaborate closely with the Customer Success & Sales team to create compelling sales tools, materials, and presentations to effectively communicate the key value of our products & solutions
Lead the creation of product-related content including website copy, case studies, whitepapers, webinars, and blogs that drive demand generation and customer engagement
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Marketing Specialist
AI-powered platform for creating comics, manga, and webtoons with features like character consistency, 4K images, and Hollywood-grade storyboarding.
Experience Requirements:
3+ years of experience in marketing.
A strong understanding of digital marketing principles.
Experience with social media marketing, email marketing, and content marketing.
Excellent communication and writing skills.
Experience marketing AI-powered products is a plus.
Responsibilities:
Develop and execute marketing campaigns across various channels, including social media, email, and content marketing.
Manage our social media presence and engage with our audience.
Create compelling marketing materials, such as website copy, blog posts, and presentations.
Track and analyze marketing campaign performance.
Stay up-to-date on the latest marketing trends and technologies.
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Marketing Lead
AI-powered platform for creating comics, manga, and webtoons with features like character consistency, 4K images, and Hollywood-grade storyboarding.
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:
Growth Marketing: Develop and implement strategies to drive user acquisition, activation, retention, and revenue growth.
SEO & Content Strategy: Optimize organic traffic through effective SEO practices and compelling content.
Email Marketing: Build and manage email marketing campaigns to engage and nurture leads, improve retention, and drive conversions.
Product Marketing: Partner with product teams to craft go-to-market strategies, positioning, messaging, and product launches.
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.
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