DigitalGenius

👥 51-100💰 $14,750,000 Series A about 7 years agoCustomer ServiceArtificial Intelligence (AI)E-CommerceMachine LearningGenerative AIImage Recognition💼 Private Company
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DigitalGenius is an AI platform that automates customer support by leveraging deep learning to understand conversations and streamline processes, delivering significant ROI through seamless integration with backend systems.

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📍 United States

🔍 ECommerce and Retail

  • 1+ years of experience in B2B Software within Sales Enablement, Partnerships, or Events.
  • 2+ years of experience in B2B Software in Marketing, Sales, Product, or Success.
  • 3+ years of experience in Digital Marketing.
  • Strong knowledge of the eCommerce landscape.
  • Enthusiasm for automation and proficient in using software tools.
  • Proven ownership of projects and tasks.
  • Experience in a Startup environment.
  • Excellent attention to detail and organizational skills.
  • Skills in content creation including graphic design, video editing, audio production, or webinar experience.

  • Own the commercial team events calendar for North America, including digital and in-person events.
  • Source, select, plan, and execute Partner co-marketing activities in collaboration with the Head of Partnerships.
  • Monitor and analyze campaign performance using data to assess project effectiveness and report findings to the business.
  • Build rapport with industry counterparts within the ecosystem.

Adobe After EffectsAdobe Creative SuiteAdobe IllustratorAdobe InDesignAdobe PhotoshopData AnalysisFigmaGraphic DesignContent creationCommunication SkillsAnalytical SkillsCollaborationAttention to detailOrganizational skillsDigital Marketing

Posted 2 months ago
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🔥 Data Specialist
Posted 3 months ago

📍 United Kingdom, Europe

🔍 Artificial intelligence, customer service

  • Attention to detail: Ability to accurately label and categorize complex data sets.
  • Understanding of e-commerce workflows: Familiarity with how e-commerce businesses handle customer service.
  • Tech savvy: Comfortable working with data labelling tools, spreadsheets, and collaboration software.
  • Communication skills: Strong communication to provide feedback and collaborate effectively within the team.
  • Good time management: Ability to prioritize tasks and meet deadlines in a fast-paced environment.
  • Background in e-commerce customer service (preferred): Previous experience in customer service in e-commerce is highly desirable.

  • Review and label e-commerce customer service conversations and policies with high accuracy.
  • Collaborate with the AI and product teams to refine and optimize data labelling guidelines.
  • Take ownership of data quality to improve AI model training.
  • Work in collaboration with AI engineers to identify trends and nuances in customer service data.
  • Manage the quality control process for labelled data using various modern tools.
  • Explore technical areas such as natural language processing, machine learning fundamentals, and data analytics.
  • Take initiative in solving data-related challenges and suggest improvements.

Project ManagementArtificial IntelligenceMachine LearningCommunication SkillsCollaborationAttention to detail

Posted 3 months ago
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🔥 QA Engineer
Posted 4 months ago

📍 United Kingdom

🔍 Artificial Intelligence

  • 5+ years of experience as a QA Engineer.
  • Experience testing frontend and backend applications.
  • Excellent verbal and written communication and inter-personal skills.
  • Ability to interpret technical stories and perform focused testing of new features.
  • Hands-on experience with manual testing across a range of browsers and devices.
  • Performance testing experience.
  • Experience working with modern CI/CD tooling.
  • Experience with Jira and other bug tracking systems.
  • Exposure to tools like Rainforest QA or similar is a plus.
  • Experience working in a SaaS AI company is a nice to have.

  • Join the product team as a QA Engineer to test our suite of web-based products.
  • Focus on testing our products as part of the development lifecycle.
  • Run regular regression tests on critical applications.
  • Perform ad-hoc exploratory testing as needed.
  • Help manage external services we use to improve our test coverage.
  • Communicate test progress, test results, and other relevant information to stakeholders.
  • Investigate issues found during testing or reported from production, log them into Jira, and escalate as necessary.

QAJiraStrategyManual testingCI/CD

Posted 4 months ago
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