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You will build and maintain backend services and automation workflows to support the company's Go-To-Market revenue engine. This involves integrating with Salesforce APIs and collaborating with cross-functional teams to deliver sales automation capabilities.
You will lead the architectural evolution of the core platform, ensuring coherence across execution, infrastructure, and frontend systems. You will also mentor engineering teams and define technical standards to support scalable, reliable, and configurable platform foundations.
Design and build AI-powered product experiences such as finance copilots, chat interfaces, and autonomous workflows. Collaborate with cross-functional teams to integrate LLMs with structured financial data and ensure production-grade reliability.
The role involves supporting and extending agentic AI infrastructure while developing new functionality in the agent layer. You will also work with embeddings and vector databases to improve search and personalization while collaborating with product teams.
The intern will assist in developing and testing AI/ML models while collaborating on data collection and preprocessing tasks. They will also support the implementation of algorithms and document project outcomes.
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The Director will drive net-new enterprise business across the UK and Europe by developing strategic go-to-market plans and building executive relationships. They are responsible for managing the full sales lifecycle to generate $5M–$10M in annual revenue through IT transformation and managed services.
Design, develop, and maintain scalable full-stack web applications while integrating AI-powered solutions like LLMs and RAG pipelines. Collaborate with cross-functional teams to implement intelligent automation and ensure high performance across enterprise workflows.
The Database Practice Lead will develop and execute a comprehensive data consulting strategy while building and scaling a high-performing team in India. They will act as a trusted advisor for clients, overseeing delivery, pre-sales efforts, and the integration of modern technologies like AI and cloud platforms.
The lead consultant will design, configure, and deploy SAP GRC Process Control and Risk Management modules. They are responsible for creating a robust architecture that integrates these modules with SAP Audit Management to automate internal controls and risk mapping.
The Senior SRE will architect and manage highly available, secure, and scalable infrastructure while driving large-scale automation and reliability initiatives. They will also act as a technical leader, mentoring team members and partnering with product engineering squads to optimize cloud performance and costs.
The Account Executive will manage the full sales cycle, including prospecting, value-based selling, and contract negotiations to meet quarterly and annual revenue quotas. They will collaborate with internal teams to ensure customer satisfaction and maintain accurate pipeline data in Salesforce.
Define and execute the joint Elastic–AWS go-to-market strategy across the EMEA region to drive revenue growth. Manage key initiatives including AWS Marketplace adoption, co-sell engine activation, and strategic alignment with internal and external leadership.
You will be responsible for orchestrating customer journeys and automations within Salesforce Marketing Cloud while ensuring data security and regulatory compliance. Additionally, you will collaborate with cross-functional teams to design, develop, and maintain scalable customer interaction solutions.
Develop high-impact reporting and analytics to provide visibility into business operations and scale reporting through automation. Partner with cross-functional stakeholders to define KPIs and encourage self-service analytics across the organization.
Engage in live, natural video conversations in Russian with other participants to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
You will define the technical strategy and AI architecture while leading the implementation of scalable ML platforms and LLM-powered systems. You will also mentor engineering teams and partner with leadership to drive the AI roadmap and ensure production-ready delivery.
You will design clean abstractions for a rapidly evolving business model and build reliable distributed workflows for the cloud monetization platform. You will also help shape a modern platform from the ground up, ensuring correctness, consistency, and performance.
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You will design, develop, and maintain robust BizTalk integrations while providing technical support and performance tuning for existing applications. Additionally, you will assist in evaluating legacy systems and defining migration paths toward modern cloud-based architectures like Azure Integration Services.
Engage in live, natural video conversations in Russian with other participants to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
The Principal Cloud Solution Architect will design and architect complex cloud solutions while serving as a trusted advisor to enterprise clients. They will lead strategic discovery sessions, guide modernization roadmaps, and mentor technical teams to ensure successful cloud adoption.
Lead the development and deployment of end-to-end Salesforce solutions using configuration and customization. Collaborate with stakeholders and architects to deliver scalable solutions across various Salesforce clouds.
Develop end-to-end Salesforce solutions using configuration and customization while automating business processes. Participate in agile scrum meetings to analyze user stories and ensure code quality through reviews and testing.
Lead the development and deployment of end-to-end Salesforce solutions using configuration and customization. Collaborate with stakeholders and cross-functional teams to deliver scalable solutions across various Salesforce Clouds.
You will drive business development and pre-sales activities while acting as a strategic advisor for AI implementations. Additionally, you will represent the company as a thought leader through public speaking, workshops, and active community engagement.
The Data Scientist will analyze and interpret telemetry data from various sources to define business KPIs. They will also be responsible for manipulating datasets and applying machine learning techniques to support business objectives.
The Azure Cloud Architect will plan and execute infrastructure migrations to Azure while designing and deploying Landing Zones following best practices. They will also act as a technical reference, providing mentoring to the team and implementing governance models.
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You will design and build scalable platform components and 'golden paths' to enable fast and safe development. Additionally, you will own complex infrastructure tasks such as networking and security while automating processes to minimize manual effort.
You will own the end-to-end integration pipeline, including building new tools and maintaining existing ones for the North agentic platform. Additionally, you will create evaluations and tests to ensure integration reliability and assist other engineers in developing their own integrations.
You will design, build, and maintain full-stack features for the North platform, including file management, agent extensibility, and data-sync pipelines. You will own features end-to-end, collaborating with product and modeling teams to ensure high-quality, performant, and secure implementations.
Architect and build a toolchain that integrates traditional automation with AI-native agentic workflows to drive company-wide IT transformation. Mentor teams on automation practices and scale the platform to enable self-sustaining cultural change across the organization.
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