Invisible Technologies

πŸ‘₯ 101-250πŸ’° Seed almost 4 years agoInformation ServicesProject ManagementInformation TechnologyπŸ’Ό Private Company
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Invisible Technologies is a company focused on harnessing advanced artificial intelligence solutions, seeking skilled professionals in specialized language training and software development.

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πŸ”₯ VP of Strategic Accounts
Posted about 10 hours ago

πŸ“ Countries around the world

πŸ” Managed Services, Professional Services, or SaaS

  • 12+ years of experience in quota-carrying sales and strategic account management roles within Managed Services, Professional Services, or SaaS organizations.
  • A strategic and consultative mindset, with the ability to understand complex business challenges and craft custom solutions.
  • Proven success in building and managing relationships with C-suite executives and navigating enterprise sales cycles.
  • Demonstrated ability to negotiate and close large-scale ($10M+) enterprise contracts and long-term engagements.
  • Strong operational acumen to manage pilot programs and oversee delivery of complex solutions.
  • High level of autonomy, adaptability, and ownership; able to thrive in fast-paced, ambiguous environments.
  • Act as a trusted advisor to senior executives at enterprise-level clients, leading high-impact strategic conversations.
  • Lead solution scoping and early-stage business development with new opportunities inside existing accounts.
  • Design and oversee pilot programs that validate new solutions and deliver measurable business impact.
  • Manage complex contract negotiations that align client goals with Invisible’s business model and capabilities.
  • Own long-term client relationships and grow account value through additional services and solution areas.
  • Drive strategic account planning in collaboration with cross-functional teams to ensure alignment and long-term success.
  • Collaborate with internal stakeholders across Growth, Operations, Product, and Technology to ensure seamless execution.
  • Maintain high levels of client satisfaction, retention, and advocacy by consistently delivering business value.
Posted about 10 hours ago
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πŸ”₯ Senior Software Engineer UI
Posted about 14 hours ago

πŸ’Έ 131000.0 - 146000.0 USD per year

  • 5–8 years of front-end engineering experience, with a strong focus on React.js
  • Proficiency in JavaScript (ES6+), TypeScript, and front-end development best practices
  • Experience integrating with GraphQL APIs
  • Strong understanding of performance optimization techniques
  • Experience with UI component libraries and design systems
  • Proficiency in modern styling approaches (SCSS/SASS, Tailwind CSS, Styled Components)
  • Familiarity with accessibility (WCAG, ARIA) and cross-device responsive design
  • Hands-on experience with tools like Webpack, Babel, NPM/Yarn
  • Experience with testing tools such as Jest, React Testing Library, and Cypress
  • Strong Git skills and comfort working in Agile/Scrum environments
  • Excellent communication and collaboration skills
  • Ability to work independently and take initiative within a team setting
  • Design and implement responsive, scalable UI components using React
  • Optimize rendering performance with modern techniques (e.g., memoization, lazy loading, virtualization)
  • Build reusable components and contribute to a shared UI component library
  • Integrate GraphQL APIs and manage real-time data interactions
  • Collaborate closely with product, design, and backend teams to deliver end-to-end features
  • Write clean, maintainable, and well-tested code
  • Apply accessibility best practices and responsive design principles
  • Participate in code reviews, sprint planning, and team standups
  • Support the evolution of our design system and front-end architecture
Posted about 14 hours ago
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πŸ“ Worldwide

πŸ” Software Development

  • Fluent Polish speaker (both spoken and written).
  • Sales or customer service experience (experience in food delivery, hospitality, or telesales is a plus).
  • Comfortable making high-volume outbound calls and handling objections.
  • Knowledge of CRM tools and Google Workspace (Sheets, Docs, Gmail).
  • Make outbound calls to restaurants in Poland to introduce our delivery platform.
  • Complete notes from your calls into a sheet

Customer serviceSales experienceCRM

Posted 8 days ago
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πŸ”₯ Data Scientist II
Posted 10 days ago

πŸ“ Countries around the world

πŸ’Έ 149000.0 - 165000.0 USD per year

πŸ” AI

  • 2-4 years of hands-on experience in data science, preferably in a forward-deployed or client-facing role.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proficiency in Python or R for data analysis and machine learning, along with strong SQL skills.
  • Experience with machine learning frameworks and libraries (scikit-learn, TensorFlow, PyTorch, etc.).
  • A proven track record of building and deploying machine learning models in production environments.
  • Familiarity with data visualization tools like Tableau, Looker, or Power BI.
  • Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
  • Excellent problem-solving abilities, with a balance of technical rigor and business insight.
  • Strong communication skills with an ability to build relationships and trust with both technical and non-technical stakeholders.
  • Adaptable and resourceful, able to thrive in ambiguous, fast-changing environments.
  • Work directly with clients and internal stakeholders to understand key business challenges and rapidly design data-driven solutions.
  • Collect, process, and analyze large datasets from diverse sources, uncovering actionable insights that inform strategy and operations.
  • Build, test, and deploy machine learning models that support predictive analytics and optimize decision-making in fast-paced environments.
  • Collaborate cross-functionally with engineering, product, marketing, and operations teams to identify opportunities where data can drive impact.
  • Communicate complex findings clearly and concisely to both technical and non-technical audiences through reports, dashboards, and presentations.
  • Design and run experiments (including A/B tests) to measure and enhance product and business performance.
  • Ensure data quality, integrity, and governance across all workflows and deployments.
  • Continuously explore new technologies, tools, and methodologies to enhance our data science capabilities.
Posted 10 days ago
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πŸ“ Worldwide

🧭 Full-Time

πŸ’Έ 169000.0 - 207000.0 USD per year

πŸ” Software Development

  • 5+ years of software engineering experience, with a strong focus on ML engineering and deploying machine learning models in production.
  • Extensive experience in full-stack development, particularly in backend environments that support AI/ML workloads.
  • Strong proficiency in Python, with deep expertise in LLMs, AI Agents, and ML model development.
  • Experience designing and deploying scalable ML systems, such as retrieval-augmented generation (RAG) pipelines and production-grade AI applications.
  • Extensive experience with cloud platforms (AWS, GCP, Azure) and operational best practices for ML workloads.
  • Familiarity with Kubernetes and other container management tools.
  • Ability to write well-structured, organized code and automated unit/E2E tests.
  • Comfortable with polyglot persistence models (SQL vs. NoSQL).
  • Experience with MLOps frameworks and best practices; familiarity with DevOps principles as applied to machine learning models, including model versioning, monitoring, and lifecycle management.
  • Ability to operate independently in unstructured environments, demonstrating a proactive and investigative approach to tackling challenges
  • Excellent communication skills, with the ability to collaborate effectively in dynamic, cross-functional teams, including data scientists, researchers, and software engineers.
  • Develop and Maintain AI/ML Systems: Build robust, scalable backend systems that support machine learning operations and data processing pipelines
  • Cloud Operations and Management: Oversee and optimize cloud infrastructure to ensure efficient deployment and operation of ML models
  • Problem Solving: Independently explore and address complex problem spaces to improve system capabilities and performance without extensive guidance
  • Cross-Functional Collaboration: Work closely with ML engineers and data scientists to integrate advanced ML technologies, ensuring seamless operations across various platforms
  • Innovation and R&D: Actively participate in research and development of new tools that can enhance our AI capabilities and workflows

AWSBackend DevelopmentDockerPythonSQLCloud ComputingFull Stack DevelopmentGitKubernetesMachine LearningNosqlCI/CD

Posted 13 days ago
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πŸ“ Around the world

πŸ” SaaS

  • 8+ years of experience in Revenue Operations, Salesforce program management, and GTM systems, ideally in a high-growth SaaS or product-led company.
  • Proven experience managing Salesforce implementations, including multi-instance environments, risk assessment, and technology evaluation.
  • Deep understanding of sales operations, change management, and automation, with the ability to balance strategic vision with technical execution.
  • Strong leadership and mentorship skills, with a track record of developing talent and managing high-performing teams.
  • Proficiency in Salesforce and GTM tech stacks and enablement tools.
  • Highly collaborative and detail-oriented, with the ability to align stakeholders, influence decision-making, and drive execution in a fast-paced environment.
  • Lead GTM systems strategy and execution, overseeing the consolidation and optimization of the revenue tech stack, including Salesforce and adjacent tools.
  • Own tool procurement, implementation, and management, ensuring technology solutions align with business needs and scalability goals.
  • Collaborate with cross-functional teams (Sales, Marketing, Client Services, Finance) to identify inefficiencies and implement technology-driven solutions.
  • Manage and mentor Salesforce Admin(s), providing guidance on system architecture, best practices, and workflow automation.
  • Develop and enforce governance policies, ensuring data integrity, compliance, and scalability across all GTM systems.
  • Assess and mitigate risks in system implementations, leading rollout plans that minimize disruption and maximize adoption.
  • Hold stakeholders accountable in driving operational efficiencies and leveraging systems effectively.
  • Communicate strategic initiatives to executive leadership, advocating for process improvements and system investments.
Posted 13 days ago
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πŸ“ Around the world

πŸ” AI

  • 8+ years of experience in a data architecture, data infrastructure, data engineering, or analytics engineering role (or similar)
  • 4+ years of leadership experience, either managing teams or owning cross-functional data infrastructure
  • Experience with modern tech stack for analytics / BI
  • Ability to translate business needs to optimal data structures (pipelines, models, marts)
  • Experience setting the data architecture for external systems
  • Proficient in SQL
  • Proficient in Python for data pipelines and analytics
  • Lead the analytics team’s data architecture and infrastructure strategy
  • Act as a leader in data and data-driven strategy at Invisible
  • Enable downstream data products such as dashboards, reports, analyses, and, self-serve models
  • Manage our data lakehouse and data marts, in terms of tooling and design
  • Set robust data definitions, sources of truth, and nomenclature
  • Monitor data integrity and accuracy
  • Manage our data pipelines
  • Maintain and optimize data transformation layer and data models
  • Ensure efficient data processing and resourcing
  • Build data pipelines between different systems (eg ERP, HRIS, CRM, etc.)
  • Manage data permissions
  • Write and enforce company-wide data policies
Posted 22 days ago
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