Benefits:

• employee stock options

• 401K matching

• competitive benefits

Experience Requirements:

• 2 - 4 years

Education Requirements:

• Bachelor’s degree in English, Journalism, Communications, Marketing, or a related field.

Experience Requirements:

• 2-3 years of experience in content writing, preferably in a B2B or SaaS environment.

• A detailed portfolio of previously done work

• Familiarity with SEO best practices

• Proven track record of creating high-quality content that drives engagement

Responsibilities:

• Develop engaging and informative content across various platforms including blog posts, whitepapers, case studies, ebooks, email campaigns, social media, and website copy.

• Collaborate with cross-functional teams including marketing, product management, and sales to ensure alignment of messaging and content strategy.

• Conduct thorough research on industry trends, customer pain points, and competitive landscape to inform content ideation and development.

• Write clear, concise, and compelling copy that effectively communicates complex concepts and solutions to a B2B audience.

• Optimize content for SEO to increase organic traffic and improve search engine rankings.

Experience Requirements:

• 2 to 4 years of market competitor focused secondary research experience

• Experience of working in the US, Europe, Middle East, LATAM and APAC markets will be highly preferred

• Experience of leveraging publicly available and 3rd party sources such as SEC filings, EDGAR, Crunchbase, Slintel, Factiva etc.

• Must have skills- MS Office (Word, PowerPoint, Excel)

• 1-4 years of experience in business research firms/corporate strategy or Market Intelligence function

Other Requirements:

• Primary research experience is not relevant

Responsibilities:

• Research: ◆ Prepare understanding of the client’s problem statement and device appropriate research approach ◆ Conduct desk and Contify platform driven research on a particular industry/segment/competitors/topic ◆ Structure and analyze intelligence gathered coherently and succinctly to develop actionable insights ◆ Prepare standard/custom reports around industry/ competitor/company/ topical analysis ◆ Work on various team-specific strategic initiatives

• Project Execution/Management: ◆ Engage with senior members of the client and project teams to identify and address project bottlenecks ◆ Conduct quality check of the work of team members ◆ Contribute actively to project and team discussions ◆ Bring continuous process improvement and solution-oriented approach toward work

• Client Communication: ◆ Conduct written (and verbal communication) with clients to update on project progress and resolve queries ◆ Conduct client walkthrough for reports/analysis prepared

• Other: ◆ Liaison with the Contify platform team to report issues/suggest enhancement measures ◆ Contribute towards organization in the form of internal initiatives

Experience Requirements:

• 2 to 3 years

Benefits:

• hospitalization insurance

• meal vouchers

• eco vouchers

• company laptop

• phone (unlimited data, call, SMS) and an annual bonus plan Eco-mobility package (train, bus, bike, etc.) Flexible working (50% remote, 50% office) Vacation time: 10 public holidays, 20 legal days, 10 extra legal days Learning and development package

Experience Requirements:

• 2-4 years of work experience

• Prior consulting or agency experience is a plus

Other Requirements:

• You know how to interact with corporate clients

• You can manage deadlines

• You have an analytical mind and the urge to create order when confronted with large data sets

• You have a keen business sense

• You have basic Javascript / HTML / CSS coding skills

• You're comfortable with 1-3 different bot building platforms

• Knowledge of API integrations is a plus

• You have some experience in user acceptance and business acceptance testing

• You understand or at least have a strong interest in IT, data, operations, automation and the AI landscape

• Fluent in English, spoken and written (other European languages are a plus)

• You’re curious and a quick learner, and demonstrate a growth mindset

Responsibilities:

• Work directly with clients during scoping, briefing and implementation phases

• Use conversational AI tools to build flows and NLP/intent models

• Identify and analyze business needs to provide high-level budget estimates

• Apply business logic and integrations to transform simple chatbots into personalized conversational agents

Benefits:

• hospitalization insurance

• meal vouchers

• eco vouchers

• company laptop

• phone (unlimited data, call, SMS) and an annual bonus plan Eco-mobility package (train, bus, bike, etc.) Flexible working (50% remote, 50% office) Vacation time: 10 public holidays, 20 legal days, 10 extra legal days Learning and development package

Experience Requirements:

• 0-2 years of work experience

• Prior consulting or agency experience is a plus

Other Requirements:

• You know how to interact with corporate clients

• You can manage deadlines

• You have an analytical mind and the urge to create order when confronted with large data sets

• You have a keen business sense

• You have basic Javascript / HTML / CSS coding skills

• Knowledge of API integrations is a plus

• You have a strong interest in IT, data, operations, automation and the AI landscape

• Fluent in English, spoken and written, plus 2 other European languages

• You’re curious and a quick-learner

Responsibilities:

• Work directly with clients during scoping, briefing and implementation phases

• Use conversational AI tools to build flows and NLP/intent models

• Identify and analyze business needs to provide high-level budget estimates

• Apply business logic and integrations to transform simple chatbots into personalized conversational agents

Experience Requirements:

• 3+ years of hands-on experience in Computer Vision and deep learning, particularly in object detection and image classification.

Responsibilities:

• Lead Computer Vision Initiatives: Develop and deploy advanced computer vision models for tasks such as object detection, image classification, data extraction, and image quality assessment.

• Drive Innovation in Core-ML Projects: Work on critical machine learning projects, including Credit Risk Modeling and Scorecard Development, ensuring robust and scalable solutions.

• Data Exploration and Analysis: Explore and analyse unstructured data, particularly images, using advanced image processing techniques.

• Model Research and Development: Collaborate with the data science team to research, develop, evaluate, and optimise deep learning models tailored to solve specific business problems.

Education Requirements:

• Bachelor's/Master's degree in Computer Science, Engineering, or a related field.(minimum 4 years of degree).

Experience Requirements:

• 2-4 years of professional experience in backend development using Python.

Responsibilities:

• - Design, develop, and maintain scalable and efficient backend systems using Python and related technologies.

• - Collaborate with other developers, product managers, and stakeholders to understand requirements and translate them into technical solutions.

• - Implement and maintain RESTful APIs for seamless integration with frontend applications and third-party services.

• - Optimize application performance and scalability through code refactoring, database optimization, and other best practices.

Education Requirements:

• MBA required, preferably from Tier I institute.

Experience Requirements:

• 4-6 years’ direct selling experience in Technology Products/ Services / Solutions primarily in B2B environment

• 2+ years SaaS experience preferred

Responsibilities:

• Be the first contact point for any new leads. Effectively, also the face of the company. So excellent written and spoken communication skills are a must.

• Be primarily responsible to open new accounts and sustain strategic customer relationships by selling Digitap.ai’s complete portfolio of solutions.

• Deliver on the tactical sales plans, following up new business opportunities and setting up meetings and product demos as necessary.

• Make Digitap.ai a top recall in the Fintech/NBFC/BFSI fabric of the assigned territory

• Will carry a sales target and we expect you to hit target as often as possible • Act as a bridge between customers and the product team when it comes to feedback and product customizations.

Education Requirements:

• Bachelors degree in Business, Finance, Marketing, or a related field from Tier 1 institution. Post Graduates will get higher weightage.

Experience Requirements:

• 1-3 years of experience in a Sales Analyst, Business Analyst, or related role.

Responsibilities:

• Sales Reporting & Analysis: Track, analyze, and report sales performance metrics to improve sales team efficiency.

• Presentation & Insights: Create compelling sales presentations, dashboards, and reports for leadership and stakeholders.

• Competitive Market Research: Conduct in-depth research on competitors, industry trends, and market dynamics to identify growth opportunities.

• Sales Team Support: Provide data-driven insights and support to optimize sales strategies, pipeline management, and business development efforts.

Education Requirements:

• Bachelor's degree.

Experience Requirements:

• Up to 2 years of customer support or relationship management experience, preferably in SaaS or fintech.

Responsibilities:

• Onboarding: Guide new clients through the onboarding process, ensuring a seamless transition onto our platform.

• Relationship Management: Foster strong, enduring relationships with clients, addressing inquiries and escalations promptly.

• Support: Provide timely and effective support via email, resolving technical issues.

• Feedback: Gather and relay customer feedback to internal teams, advocating for enhancements.

Experience Requirements:

• 2-5 years of hands-on experience in Governance, Risk, and Compliance (GRC) roles.

Responsibilities:

• - Compliance & Regulatory Oversight: Ensure compliance with applicable laws and regulations, such as RBI/SEBI cybersecurity guidelines, GDPR, and other - local and international frameworks.

• - Risk Management: Assist in conducting risk assessments to identify, evaluate, and prioritize risks related to information security and business operations.

• - Audit Support: Support internal and external audits by preparing documentation, coordinating audit activities, and ensuring compliance with cybersecurity policies and standards.

• - Cybersecurity Program Management: Work closely with IT, legal, and other stakeholders to integrate cybersecurity risk management into business processes, ensuring alignment with organizational goals.

Experience Requirements:

• 5-7 years experience in NLP, Machine Learning, Deep Learning, Python, Computer Vision & 1-2 years exp in Gen AI.

Experience Requirements:

• 6-9 years experience in Proficiency in Appian BPM, including SAIL forms, dashboards, and reports.

Experience Requirements:

• minimum of 5+ years of hands-on experience in Data Analytics & Supply Chain.

Experience Requirements:

• 3+ years in a testing organization/ department with experience in functional, automation, and performance testing

Responsibilities:

• Review system requirements and track quality assurance metrics

• Implement tests, debug, and define corrective actions

• Understand customer’s project and implement the same scenario using the Appvance platform

• Architect and design complex testing scripts in a short time frame

• Document new processes and keep existing documents updated

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