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)

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

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

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, Gemüsebau oder Vertrieb

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

Benefits:

• An interdisciplinary, customer-oriented startup with a big vision

• Strong team culture, a successful founding team and seasoned mentors

• Flexible working hours and a state-of-the-art office in the Technology Factory in Karlsruhe, Germany

• A steep learning curve

• A startup funded by the EU, DLR and the European Space Agency (ESA)

Education Requirements:

• Degree in business administration or comparable practical experience

Experience Requirements:

• Experience in agriculture, management consulting or customer projects

• Experience with agile startup concepts such as value proposition design, design sprints and the like

Responsibilities:

• Market research, presales and representation at customer fairs

• Help with sales, meetings with potential sales partners, if possible direct sales meetings

• Listening to, documenting and prioritization of customer needs

• Establishing and helping with customer help, feeding insights to product management

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:

• Gute Kenntnisse in Linux und macOS

• Gute Programmierkenntnisse in Python

• Kenntnisse im Bereich DevOps

Experience Requirements:

• Erfahrungen mit der AWS Cloud

• Kenntnisse im Umgang mit Datenbanken und Containervirtualisierung (Docker)

Responsibilities:

• Deployment von datenintensiven, verteilten und skalierbaren Softwaresystemen

• Administration unserer Infrastruktur, um weltweit Analysen für landwirtschaftliche Felder bereitzustellen

• Unterstützung des Teams bei allgemeinen IT-Problemen

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.

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

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.

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.

Benefits:

• Competitive benefits and stock options

Education Requirements:

• Bachelor's degree in Business and Technology Studies, Computer Science, Software Engineering, or a related field. A Master's degree in a relevant discipline is a plus.

Experience Requirements:

• Minimum 3 years of proven experience in program management or technical consultancy roles, such as Solutions Consultant, Implementation Specialist, or similar, with a strong emphasis on customer engagement and project delivery.

Responsibilities:

• Engage with stakeholders across various levels of the customer’s business, from technical teams to executive leadership.

• Conduct in-depth discovery sessions to assess customer requirements and identify opportunities for automation with AI agents.

• Deliver compelling, tailored presentations and demonstrations of AI agents, showcasing their business value and ability to drive operational efficiency.

• Coordinate with customer teams to address implementation challenges, ensuring smooth adoption and alignment with existing workflows.

• Drive the successful integration of AI agents into customer environments by managing timelines, milestones, and resources, ensuring scalability and seamless operation.

Benefits:

• Competitive benefits and stock options

Education Requirements:

• Bachelor's degree or higher in design, multimedia design, visual arts, communication design, business or a related field.

Experience Requirements:

• Minimum of 1-2 years of experience in design with a strong focus on marketing for tech companies.

Responsibilities:

• Develop creative assets that align with marketing strategies and help shape our brand identity.

• Design innovative and impactful visuals for LinkedIn and other social media platforms to enhance our brand presence and establish Beam as a thought leader in the market.

• Design website elements such as landing page cards and other visual assets that enhance user experience and drive user interactions and conversions.

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.

Benefits:

• Unlimited PTO

• Flexible working

• Health benefits

• Future building

• Professional development Company-sponsored professional development opportunities such as conferences, trainings, and workshops.

Experience Requirements:

• Minimum 5 years of program management experience.

• Proven track record of building and executing complex programs.

Responsibilities:

• Independently manage ongoing programs with key customers, Tier 1s, and OEMs.

• Gather and integrate project performance and progress information.

• Prepare detailed status reports which include: latest accomplishments, upcoming deliverables, project metrics, and risk analysis.

• Develop processes and procedures to improve functions within Operations.

• Prepare and update detailed project plans, deliverable timelines, KPIs and milestones.

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience.

Responsibilities:

• Develop and deploy scalable web applications including front-end and back-end services.

• Design and implement data analytics and reporting tools for R&D as well as business uses.

• Design and implement high-performance, high-availability distributed data pipelines and services in cloud environments.

• Build and maintain distributed systems that can handle large volumes of data in real-time.

Education Requirements:

• MS in Computer Science, Electrical Engineering, or related field

Experience Requirements:

• 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems.

Responsibilities:

• Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale.

• Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks.

• Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability.

Education Requirements:

• Degree in CS, ME, EE, Mechatronics or related field.

Experience Requirements:

• 3+ years experience developing safety critical embedded systems.

• 5+ years experience in automotive systems development or similar

Responsibilities:

• Work in coordination with global engineering teams to define vehicle-level self-driving requirements.

• Define system reliability and robustness requirements for the autonomous ECU, sensor set and electrical interfaces.

• Conduct Hazard Analysis & Risk Assessment (HARA) reviews of autonomous systems/features.

• Conduct Failure Mode and Effect Analysis (FMEA) reviews of autonomous systems/features.