AI Jobs
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Find the latest job opportunities in AI and tech
Has Salary
Vertrieb
Heliopas.ai provides environmental analytics for agriculture, helping businesses increase yields, reduce waste and enrich nature. They offer AI-driven solutions for remote environmental monitoring.
Benefits:
Ein interdisziplinäres, kundenorientiertes Startup mit einer großen Vision
Starke Teamkultur, ein erfolgreiches Gründerteam und erfahrene Mentoren
Flexible Arbeitszeiten und ein hochmodernes Büro in der Technologiefabrik
Vielfältiges Lernen und eine steile Lernkurve
Ein von EU, DLR und Europäischer Weltraumorganisation (ESA) gefördertes Startup
Education Requirements:
Studium oder Praxiserfahrung in Landwirtschaft oder Gemüsebau
Experience Requirements:
Fundierte Marktkenntnisse in Gemüseanbau oder Bewässerungstechnik
Erfolg beim Aufbau einer Vertriebsorganisation
Responsibilities:
Kunden- und Partnergewinnung, Durchführung von externen Terminen
Weitergabe der Kundenbedarfe an Produktentwicklung
Vertriebsplanung, Potential- und Trendanalysen, Produktdifferenzierung
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UX / UI Design
Heliopas.ai provides environmental analytics for agriculture, helping businesses increase yields, reduce waste and enrich nature. They offer AI-driven solutions for remote environmental monitoring.
Benefits:
Ein interdisziplinäres, kundenorientiertes Startup mit einer großen Vision
Starke Teamkultur, ein erfolgreiches Gründerteam und erfahrene Mentoren
Flexible Arbeitszeiten und ein modernes Büro in der Technologiefabrik
Vielfältiges Lernen und eine steile Lernkurve
Ein von EU, DLR und Europäischer Weltraumorganisation (ESA) gefördertes Startup
Education Requirements:
Studium im Produktdesign oder vergleichbare praktische Erfahrungen
Experience Requirements:
Erste Erfahrungen mit UI-Tools wie Figma oder Adobe XD
Erfahrung mit agilen Konzepten wie Design Thinking und Scrum
Kenntnisse der landwirtschaftlichen Praxis, Erfahrung in der Agrarbranche
Responsibilities:
Erstellen von App-Prototypen (Click-Dummies)
Durchführen von Usability Tests mit Landwirten
Nutzerführung und Interaktionsdesign
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Produktmanagement
Heliopas.ai provides environmental analytics for agriculture, helping businesses increase yields, reduce waste and enrich nature. They offer AI-driven solutions for remote environmental monitoring.
Benefits:
Ein interdisziplinäres, kundenorientiertes Startup mit einer großen Vision
Starke Teamkultur, ein erfolgreiches Gründerteam und erfahrene Mentoren
Flexible Arbeitszeiten und ein modernes Büro in der Technologiefabrik
Vielfältiges Lernen und eine steile Lernkurve
Ein von EU, DLR und Europäischer Weltraumorganisation (ESA) gefördertes Startup
Education Requirements:
Studium in Wirtschaftswissenschaften, Kommunikation, Design oder ähnliche Ausbildung
Experience Requirements:
Erfahrungen in Landwirtschaft, Produktentwicklung oder Kundenprojekten
Erfahrung mit agilen Konzepten wie Design Thinking und Scrum
Responsibilities:
Erstellen von Analysen zu marktrelevanten Produktfeatures (Kundenverständnis aufbauen)
Entwurf von Produktkonzepten und einzelnen Feature-Prototypen
Product Owner für Produktentwicklungsteam (Koordination des Entwicklungsprozesses)
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Front End Engineer
Termina is an AI-powered tool providing quantitative diligence and company scanning for investors and executives, uncovering risks and outliers in financial data.
Experience Requirements:
2-7 years of experience as a frontend engineer
Other Requirements:
Proven expertise in React, TypeScript, and state management tools such as Redux and React Query.
Strong understanding of frontend performance optimization and scalable architectures.
An eye for design, with the ability to contribute meaningfully to the visual and UX design process.
A collaborative, proactive approach with strong communication skills and the ability to work independently with minimal supervision.
A commitment to ownership: able to estimate, manage, and deliver end-to-end solutions.
Willing to travel on a monthly basis to the Bay Area for team offsites.
Responsibilities:
Architect and build foundational user interfaces for our data application from scratch, including single-page applications using React and Next.js.
Own and drive the frontend architecture using technologies like React, TypeScript, Next.js, and Redux.
Strengthen familiarity with design systems and atomic design principles, including frameworks like Material-UI. to build reusable components.
Expand proficiency with automated testing and CI/CD pipelines using Cypress, Jest, and GitHub Actions.
Lead the creation of mockups, converting designs into code, and implementing responsive, high-performance websites.
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Senior / Staff Backend Engineer
Termina is an AI-powered tool providing quantitative diligence and company scanning for investors and executives, uncovering risks and outliers in financial data.
Experience Requirements:
5-7 years of experience, though we are flexible.
Other Requirements:
An obsession with automation and getting into the weeds.
Bulletproof backend software engineering foundations, and perpetually learning new frameworks to unseat the old.
The ability to make cut-through infrastructure and data processing decisions that scale.
A Passion for new AI technologies and startups.
Willing to travel on a monthly basis to the Bay Area for team offsites.
Responsibilities:
Engineer core pillars of our multi-interface data application from scratch.
Manage a sophisticated array of data APIs and data infrastructure with an unwavering passion for high-leverage deployment patterns and IAC.
Create new products leveraging AI and LLMs to unlock new interfaces with, and understanding of, the unique datasets that Termina is accumulating.
Conceive of and / or implement novel ways of distributed systems management, and high-scale data processing and retrieval.
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Machine Learning Customer Engineer
Snorkel AI is an AI data development platform that enables users to build specialized AI with their data and expertise. It focuses on programmatic data development for AI, offering solutions for data labeling, RAG optimization, and LLM fine-tuning.
Benefits:
comprehensive medical, dental, and vision plans
yearly wellness stipend
401k program
parental leave program
workstation setup allowance
Education Requirements:
B.S. degree in a quantitative field such as Computer Science, Engineering, or comparable degree/experience.
Experience Requirements:
2+ years experience working in a technical customer-facing role.
Proficient in Python.
Previous experience with cloud infrastructure providers such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
Outstanding organizational skills and ability to multitask in order to effectively prioritize and manage customer requests.
Experience with common support software like Zendesk, Jira, and Slack.
Responsibilities:
Partner with Snorkel Flow users to design, build, troubleshoot and deploy AI applications.
Lead the resolution of critical technical issues, providing prompt and complete resolution to technical challenges and business issues.
Perform live working sessions to analyze and address customer reported issues.
Prioritize, document and coordinate customer issues with account assigned ML Success Managers and the Snorkel engineering team.
Contribute to internal and external guides and docs, improving our self-service support materials.
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Machine Learning Success Manager
Snorkel AI is an AI data development platform that enables users to build specialized AI with their data and expertise. It focuses on programmatic data development for AI, offering solutions for data labeling, RAG optimization, and LLM fine-tuning.
Benefits:
comprehensive medical, dental, and vision plans
yearly wellness stipend
401k program
parental leave program
workstation setup allowance
Education Requirements:
B.S. degree in Computer Science, Engineering, or comparable degree/experience.
Experience Requirements:
5+ years demonstrated ability working in a technical customer-facing role, e.g., technical account management, management consultant, pre-sales engineer or customer success.
Demonstrable ability to understand customer objectives, design solutions and identify expansion opportunities that align to value drivers within the account.
Experience running strategic projects or professional services engagements with a strong orientation towards teaching and enablement.
Consistent record of achieving targets and goals with a history of driving adoption and identifying risks to renewals, cross-selling and upselling.
Influential presence in front of customers, strong presentation and interpersonal skills and the desire to become the trusted advisor.
Responsibilities:
Build and develop relationships with senior leaders in business and IT to ultimately stay aligned with business outcomes and secure partnership in their transformation initiatives.
Identifying critical needs of our customers and mapping appropriate resources multi-functionally including product, engineering, data science, and co-founders.
Lead the new customer onboarding program and work with core Snorkel AI technical teams to ensure that customer requests and critical issues are resolved in a timely fashion.
Be a customer advocate as we establish our roadmap and influence features and improvements and actively support them through the product development pipeline via collaboration with the product team.
Partner closely with Regional Sales Leaders, Account Executives, MLEs, Data Scientists, and other internal collaborators to identify new use cases and add-on opportunities for the account team
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ML Delivery Manager (Consultant/Professional Services)
Snorkel AI is an AI data development platform that enables users to build specialized AI with their data and expertise. It focuses on programmatic data development for AI, offering solutions for data labeling, RAG optimization, and LLM fine-tuning.
Education Requirements:
B.S. degree in Business Administration, Engineering, or comparable degree/experience.
Experience Requirements:
4+ years experience working in a customer-facing role, e.g., management consultant, technical consultant, or technical project manager.
2+ years experience as a lead project manager, preferably in a technology or consulting environment.
Influential presence in front of customers, strong presentation and communication skills and the ability to become a trusted advisor.
Exceptional organizational skills and attention to detail, with the ability to manage multiple projects simultaneously.
Action-oriented with the ability to cut through uncertainty and bring clarity to teams and projects.
Responsibilities:
Serve as the primary point of contact for machine learning projects throughout the delivery lifecycle, leading meetings, providing regular updates, addressing concerns, and managing expectations.
Develop and manage comprehensive project plans and other artifacts to ensure successful project delivery within scope and on schedule.
Proactively identify and mitigate risks and issues, ensuring that potential roadblocks are addressed promptly and effectively.
Demonstrate technical aptitude to understand the complexities of machine learning use cases and communicate effectively with both technical and non-technical stakeholders.
Navigate ambiguity and uncertainty with ease, adapting quickly to change and identifying paths to resolve uncertainty.
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Full-Stack Software Developer
AI platform transforming home building with solutions for market prediction, buyer connection, and building optimization.
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Full-Stack Software Developer
AI platform transforming home building with solutions for market prediction, buyer connection, and building optimization.
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Full-Stack Software Developer
AI platform transforming home building with solutions for market prediction, buyer connection, and building optimization.
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Enterprise Account Executive (SF Bay Area)
Tonic.ai provides a suite of AI tools that allow you to unlock data for organizations while guaranteeing privacy. It offers synthetic data generation, data masking, and test data management.
Benefits:
Competitive salary and equity
Unlimited paid time off
401k plan with employer contribution
Medical, dental, and vision insurance
Generous parental leave policy
Education Requirements:
Bachelor’s degree
Experience Requirements:
Proven track record of success in B2B sales, with at least 5 years of experience in a similar role
Experience selling technical products in DevTools, DevOps, Security, MLOps, and similar markets
Other Requirements:
Confidence selling to leadership in AI, engineering, security, or similar technical VP/C level decision makers
CRM proficiency (we use Salesforce)
Strong written & verbal communication skills, and demonstrable confidence with technical topics
Curiosity and a willingness to learn quickly, work hard, and achieve the goals set by the team
Located on the West Coast
Responsibilities:
Source, nurture, and qualify new leads—and close new logos
Once landed at a large organization, drive expansion into new business areas and cross-selling products
Deliver killer product demos and presentations
Build long-standing relationships with high-potential customers
Lead negotiations and contract discussions
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Full Stack Engineer
Auditoria SmartBots transform finance operations with AI Agents, automating tasks and enhancing team collaboration in areas like Accounts Receivable and Payable.
Benefits:
competitive startup salaries
early-stage stock
unlimited vacation
medical/dental benefits
flexible work environment
Education Requirements:
Holds a BS or MS degree in Computer Science or a closely related Engineering discipline.
Experience Requirements:
3+ years of hands-on professional experience in the design, development, and successful deployment of intricate software systems, maintaining a benchmark of excellence.
Responsibilities:
Leadership in Product Development: Take charge of crafting and developing the critical components of Auditoria’s offerings, utilizing state-of-the-art technology within the AWS cloud ecosystem.
Cross-Functional Collaboration: Engage in cohesive teamwork across various departments and time zones, ensuring the delivery of high-quality solutions aligned with our strategic roadmap.
Business Partnership: Forge meaningful partnerships with business units to consistently deliver added value to our clientele.
Cultural Advocacy: Act as a stalwart promoter of the principles and technological ethos that define Auditoria.
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Technical Writer / Technical Documentation Specialist
Robotec.ai provides simulation and AI tools for training, developing, and testing intelligent robots, with a focus on human-centered robotics and open software contributions.
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Mid/Senior C++ Software Engineer
Robotec.ai provides simulation and AI tools for training, developing, and testing intelligent robots, with a focus on human-centered robotics and open software contributions.
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Senior Cloud Engineer / MLOps
Robotec.ai provides simulation and AI tools for training, developing, and testing intelligent robots, with a focus on human-centered robotics and open software contributions.
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Machine Learning Engineer
Robotec.ai provides simulation and AI tools for training, developing, and testing intelligent robots, with a focus on human-centered robotics and open software contributions.
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Mid/Senior CUDA Engineer
Robotec.ai provides simulation and AI tools for training, developing, and testing intelligent robots, with a focus on human-centered robotics and open software contributions.
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Product and Project Manager
Robotec.ai provides simulation and AI tools for training, developing, and testing intelligent robots, with a focus on human-centered robotics and open software contributions.
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Staff Backend Engineer
Beam AI is an agentic AI platform for Agentic Process Automation. It automates workflows with AI agents to reduce operational cost and create leverage.
Benefits:
Competitive benefits and stock options
Education Requirements:
Bachelor's degree in Computer Science, Software Engineering, or a related field.
Experience Requirements:
Minimum 7 years of proven experience as a Backend Engineer or similar role, with a focus on systems design and developing scalable web applications or platforms.
Strong proficiency in one or more programming languages, such as Typescript (Node.js), Python or Golang.
Proficiency in SQL databases such as PostgreSQL or MySQL and NoSQL databases like MongoDB or DynamoDB.
Responsibilities:
Architect, design, and lead the implementation of scalable, resilient backend systems that align with the company’s product and technical vision.
Shape and contribute to the engineering strategy, ensuring alignment with long-term organizational goals and delivering high-impact solutions.
Drive technical roadmap planning and lead complex backend projects from concept through delivery, optimizing for reliability, performance, and scalability.
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