Benefits:

• Flexible Work – Hybrid or fully remote options based on location

• Team Gatherings – Annual company-wide kickoff events and ongoing team activities

• Career Growth – Training bonuses for AWS certifications and other learning opportunities

• Performance Bonuses – Company-wide annual bonus program

• Referral Rewards – Earn up to €1,000 for referring new hires

Experience Requirements:

• Experience with backend development using Python

• Deep knowledge of AWS cloud services and infrastructure

• Proficiency in monitoring and observability tools (Prometheus, Grafana, CloudWatch, ELK stack)

• Hands-on experience with Apache Kafka (MSK) and NoSQL databases (DynamoDB)

• Background in Site Reliability Engineering (SRE) or a similar role

Other Requirements:

• Strong problem-solving skills and attention to detail

• Fluent English (spoken and written) to collaborate with an international team

Responsibilities:

• Ensure reliability, performance, and scalability of large-scale production systems

• Troubleshoot complex issues and manage monitoring and alerting systems

• Develop backend solutions in Python to improve system efficiency

• Implement automation to optimize operations and reduce manual intervention

• Work extensively with AWS services, Apache Kafka, and NoSQL databases

Benefits:

• Competitive salary, performance bonus, and benefits package.

• Opportunity to participate in Torch.AI’s employee equity incentive program.

• Unlimited PTO.

• 11 paid holidays each year.

• Dynamic and energetic teammates.

Education Requirements:

• B.S. degree in Computer Science or related field.

Experience Requirements:

• 6+ years of experience in software development / operations / data experience.

• Knowledge of RESTful services, as well as JSON parsing and querying.

• Proven experience with Big Data technologies, including processing and analyzing large-scale datasets.

• Proficient in NiFi for data integration, flow management, and system interoperability.

Other Requirements:

• Currently holds TS/ SCI w/ CI Poly is required.

• Work locations may vary throughout the Greater DMV area based on client needs.

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:

• 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 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:

• 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 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 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)

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.

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.

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 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

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.