CloudFactory

Data Engineer

• Design, build, and maintain scalable data pipelines and analytics architecture across cloud and on-prem environments
• Develop reliable analytical data models that transform raw data into business-ready datasets.
• Define, implement, and own key business metrics, including semantic layers and supporting data structures.
• Ensure high data quality and reliability by identifying inconsistencies, resolving data issues, and improving monitoring and governance practices.
• Partner with product, operations, finance, and GTM teams to understand analytics needs and deliver actionable insights.
• Manage and optimize data pipeline orchestration, including third-party data ingestions and cost/performance improvements.
• Lead end-to-end ownership of major reporting domains, ensuring accuracy, health, and long-term scalability.
• Contribute to data engineering standards, documentation, and best practices.
• Mentor junior team members and support a culture of continuous improvement.
• Participate in incident response, on-call rotations, and post-mortems, proactively improving system reliability.

Senior Data Engineer

Artificial Intelligence

• Design and implement integrations between client systems and CloudFactory’s platform
• Architect scalable agentic AI & human-in-the-loop workflows
• Define data ingestion, transformation, and feedback loops
• Evaluate system bottlenecks (latency, quality, throughput)
• Translate proof-of-concept AI systems into scalable production workflows
• Identify operational risks before deployment
• Partner with Delivery teams to ensure execution feasibility
• Improve reliability and reduce manual intervention
• Build APIs, connectors, automation scripts, and data pipelines
• Debug integration issues in client environments
• Contribute to internal platform enhancements
• Surface recurring patterns from client deployments
• Distinguish between custom solutions and reusable features
• Influence roadmap priorities with evidence from the field
• Lead technical discovery sessions
• Support pre-sales validation
• Act as trusted advisor to enterprise engineering teams

Forward Deployed Engineer – AI Deployment

Marketing

• Define and execute a global marketing strategy aligned with CloudFactory’s growth objectives, revenue goals, and market positioning.
• Strengthen CloudFactory’s brand as a trusted partner for enterprise AI solutions.
• Develop differentiated messaging, positioning, and category narratives that clearly communicate CloudFactory’s unique value in the AI ecosystem.
• Elevate executive thought leadership and corporate visibility through strategic communications, media engagement, industry events, and content initiatives.
• Monitor market trends, competitive dynamics, and customer insights to inform strategic decision-making.
• Own marketing’s contribution to pipeline creation, customer acquisition, and revenue growth.
• Develop and oversee a scalable demand generation strategy across digital marketing, account-based marketing, events, partnerships, content, and emerging channels.
• Drive alignment between marketing investments and measurable business outcomes.
• Establish clear attribution models, forecasting processes, and performance metrics to optimize marketing effectiveness and ROI.
• Partner closely with Sales leadership to ensure seamless alignment across pipeline generation, conversion, and revenue objectives.
• Lead product marketing strategy across CloudFactory’s solutions and services portfolio.
• Develop compelling value propositions, positioning frameworks, and competitive differentiation strategies.
• Partner with Product leadership to translate complex AI capabilities into clear customer outcomes and business value.
• Drive successful launches of new offerings, services, and market expansions.
• Ensure Sales and customer-facing teams are equipped with effective messaging, content, and enablement resources.
• Develop marketing programs that support CloudFactory’s partnership-led growth strategy.
• Collaborate with partnerships, alliances, and sales teams to create joint go-to-market initiatives.
• Build and scale co-marketing programs with technology partners, system integrators, and strategic alliances.
• Enable partners with messaging, campaigns, and content aligned to CloudFactory’s positioning.
• Build and lead a high-performing global marketing organization across brand, demand, product marketing, and communications.
• Establish operating rhythms, planning processes, and performance expectations.
• Develop marketing leadership capability and succession planning.
• Foster a culture of experimentation, accountability, and customer-centric storytelling.
• Serve as a strategic advisor to the executive team on market opportunities, customer trends, competitive positioning, and growth strategy.
• Partner closely with Sales, Product, Partnerships, Finance, and Operations leaders to align priorities and accelerate business growth.
• Present marketing strategy, performance, and market insights to executive leadership and Board stakeholders as appropriate.
• Build relationships with analysts, media, industry influencers, and key stakeholders to strengthen CloudFactory’s market presence.
• Establish scalable marketing operations, tools, and reporting frameworks.
• Define KPIs across brand awareness, pipeline contribution, conversion, and customer engagement.
• Use analytics and market insights to continuously refine strategy and execution.
• Ensure alignment between marketing investments and business outcomes.

VP, Global Marketing

Machine Learning Engineer

• Own the operational performance of all production ML systems and pipelines
• Ensure reliability, availability, and supportability across client and internal MLOps workloads
• Establish and enforce SLAs, SLOs, and operational standards
• Act as the escalation point for major incidents and service degradation
• Lead a global MLOps Support team (L1/L2) across regions (Colombia, Kenya, Nepal)
• Define shift patterns, on-call rotations, and coverage models
• Set clear expectations, performance metrics, and development plans
• Foster a strong operational culture focused on accountability and continuous improvement
• Own incident response processes, including triage, communication, and resolution
• Ensure high-quality Root Cause Analysis (RCA) and follow-through on corrective actions
• Drive reduction in repeat incidents through structured problem management
• Improve time to detect (TTD) and time to resolve (TTR) metrics
• Drive implementation and evolution of monitoring across:
• - pipelines and data flows
• - infrastructure and compute
• - model performance and drift
• Ensure visibility extends beyond system health to model accuracy, bias, and data integrity
• Partner with Engineering to improve instrumentation, logging, and alerting
• Define and evolve the MLOps support operating model
• Clearly establish boundaries between Support, Engineering, and external partners
• Build and maintain runbooks, playbooks, and escalation paths
• Standardize intake, triage, and resolution workflows (e.g. Slack, ticketing systems)
• Act as the primary operational interface for:
• - Engineering teams
• - Platform Operations
• - External partners
• Reduce reliance on individuals by formalizing ownership and knowledge sharing
• Provide clear communication during incidents and service updates
• Identify trends in incidents and operational inefficiencies
• Drive improvements in:
• - automation
• - alert quality
• - self-healing capabilities
• Support onboarding of new MLOps projects into a standardized support model
• Contribute to building MLOps as a scalable, repeatable service offering
• Define and track key operational metrics:
• - incident volume and severity
• - SLA adherence
• - system uptime and reliability
• Support regular service reviews and model health reporting
• Provide leadership visibility into risks, trends, and improvement areas

MLOps Support Team Lead

Operations

• Oversee Global Operations within defined domains in Nepal, ensuring alignment with business goals.
• Drive cross-functional operational excellence and continuous improvement initiatives.
• Mentor and support junior team members and operational leads to strengthen execution capabilities.
• Champion Operations OKRs, fostering ownership and accountability across teams.
• Act as a trusted advisor to the Country Manager and leadership team on operational risks, opportunities, and strategy.
• Build strong cross-functional relationships to influence decisions and support enterprise objectives.
• Manage global travel strategy, ensuring policy compliance, cost optimization, and sustainability.
• Lead facility operations in Nepal, ensuring efficient, compliant, and sustainable work environments.
• Oversee maintenance, space planning, asset management, and day-to-day operations.
• Develop preventive maintenance plans and sustainability initiatives.
• Ensure compliance with health, safety, environmental, and statutory regulations; lead audits and corrective actions.
• Manage vendor contracts to ensure quality, cost efficiency, and reliability.
• Lead facility projects (renovations, relocations, upgrades) with minimal disruption.
• Collaborate with landlords, vendors, and stakeholders for seamless operations.
• Design and oversee a global F&B strategy to enhance employee experience and culture.

Senior Data Engineer

Forward Deployed Engineer – AI Deployment

VP, Global Marketing

MLOps Support Team Lead

Operations Manager