Jobs at CloudFactory

Own CloudFactory’s HubSpot ecosystem, marketing automation, CRM governance, paid acquisition, AI-native advertising, email programs, conversion optimization, and campaign analytics. Build scalable B2B demand-generation systems across LinkedIn, Google, AI platforms, and lifecycle channels. Maintain attribution and reporting, protect email deliverability, produce generative AI content, and advise executives on budget allocation, channel performance, and pipeline growth.

Owns CloudFactory’s HubSpot ecosystem, marketing automation, CRM governance, paid acquisition, AI-native channel strategy, email programs, conversion optimization, and attribution reporting. The role manages LinkedIn and Google campaigns, applies generative engine optimization, produces AI-assisted campaign assets, maintains tracking and deliverability infrastructure, and provides executive guidance on pipeline performance, budget allocation, and channel strategy.

Leads AI consulting growth across energy, oil and gas clients by building executive relationships, originating and closing enterprise opportunities, shaping AI solutions, and overseeing delivery. Advises operators and oilfield services companies on use cases including predictive maintenance, computer vision, safety automation, document processing, geospatial data, and digital twins. Owns strategic account plans, commercial lifecycle, P/L management, thought leadership, and cross-functional leadership.

Lead AI consulting growth in the energy, oil and gas sector by advising executive clients, originating and expanding enterprise engagements, shaping AI use cases, managing commercial lifecycles and P/L, and overseeing delivery. Build strategic account plans, guide cross-functional consultants and technical teams, support thought leadership, and translate operational challenges into scalable solutions such as predictive maintenance, computer vision, safety automation, document processing, and digital twin pipelines.

Provides Tier 1 and Tier 2 operational support for production AI/ML systems. Monitors pipelines, model execution, performance, drift, and bias; troubleshoots incidents; validates job completion; coordinates escalations; supports rollback and recovery; maintains runbooks; and participates in on-call rotations. The role also contributes to model evaluations, quarterly health reviews, observability improvements, customer communications, and SLA-based support processes.

Own reliability, observability, automation, security, and developer tooling for a cloud-based AI platform. Manage Kubernetes infrastructure supporting ML and LLM workloads, including GPU scheduling, model serving, autoscaling, monitoring, incident response, and cost governance. Build reusable Terraform modules, GitHub Actions, GitOps workflows, and platform components across public clouds. Partner cross-functionally to establish technical direction, secure-by-default infrastructure, and reliable software delivery practices while supporting 24x7 operations.

Design and implement scalable AI integrations, agentic AI and human-in-the-loop workflows, data pipelines, APIs, and production-ready deployments. Translate AI proofs of concept into reliable systems, troubleshoot client integrations, evaluate performance, reduce manual intervention, and contribute to platform improvements. Lead technical discovery workshops, support pre-sales validation, advise enterprise stakeholders, and use deployment insights to influence product roadmap priorities.

Create and review German language learning content: annotate grammar and pronunciation, evaluate vocabulary and synonyms, analyze trial lesson insights, and draft lesson outlines informed by learner data.

Lead design and implementation of scalable, cloud-native systems in Go; own reliability, CI/CD, and observability; make architectural trade-offs; support client integrations and PoCs; mentor engineers and drive DevOps and infrastructure automation.