Jobs at Pythian

Own end-to-end data platform architecture across ingestion, lakehouse, warehouse, transformation, modeling, governance, and analytics delivery. Build pipelines, Spark and SQL transformations, data models, and production code. Design Databricks or Microsoft Fabric lakehouses, implement Delta Lake and medallion architecture, establish access controls and governance, and integrate databases, SaaS applications, APIs, files, and legacy systems. Evaluate platform choices based on client workloads, licensing, skills, and cost.

Develop, deploy, and maintain scalable AI/ML pipelines and production models, including LLMs and generative AI. Optimize model performance, latency, and cost across AWS, GCP, and Azure. Apply MLOps practices such as CI/CD, versioning, monitoring, logging, and maintenance. Collaborate with data scientists, software engineers, solution architects, and cross-functional teams to integrate AI capabilities into products and workflows.

Lead the architecture and development of scalable AI/ML pipelines and production systems, including LLMs and Generative AI. Mentor engineering teams, guide technical decisions, operationalize models, optimize performance and costs, and implement MLOps practices such as CI/CD, monitoring, versioning, and maintenance. Partner with executives, clients, product managers, data scientists, and software engineers to align AI roadmaps with business goals and integrate ethical AI capabilities into enterprise applications.

Develop, deploy, and maintain scalable AI/ML pipelines and production systems, including LLMs and generative AI models. Collaborate with data scientists, software engineers, architects, and clients to integrate AI capabilities into products. Optimize model performance, latency, and cost on AWS, GCP, and Azure, using Docker, Kubernetes, CI/CD, monitoring, versioning, and other MLOps practices.

Lead territory sales for enterprise Data & AI services: hunt new logos, convert inbound, expand accounts, co-sell with hyperscalers, manage full sales cycle, forecast in Salesforce, and coordinate internal delivery resources to close complex managed-services deals.

Sell enterprise data and AI services across the Pacific Northwest: hunt new logos, convert inbound leads, and expand accounts. Lead discovery, craft business cases, co-sell with hyperscaler/OEM partners, manage end-to-end complex sales cycles, and coordinate internal delivery, solutions, legal, and finance teams. Maintain accurate Salesforce pipeline, forecast revenue, and represent Pythian to C-level buyers for Production AI, Database Managed Services, and cloud data platform engagements.

Operate and improve client infrastructure for availability, efficiency, and visibility. Design and implement automation, monitoring, cloud, and infrastructure solutions; perform maintenance planning, audits, troubleshooting, and multi-system root cause analysis. Advise clients on technology roadmaps, document procedures, mentor teammates, and participate in on-call escalations. The role requires broad cloud, Linux, networking, virtualization, containerization, configuration management, and DevOps expertise.

Drive enterprise sales of AI, data, cloud, and managed database services. Build territory plans, hunt new logos, expand existing accounts, manage Salesforce pipelines, and forecast revenue. Lead complex sales cycles from discovery through close, develop business cases and proposals, and coordinate solutions, delivery, legal, and finance teams. Co-sell with hyperscaler and OEM partners, engage executive buyers, and position production AI, data foundations, cloud migrations, and managed services.

Drive enterprise sales of AI, data, cloud, database managed services, and production AI solutions across the Midwest. Build territory plans, generate new logos, expand accounts, manage Salesforce pipelines, and lead complex sales cycles from discovery through close. Co-sell with hyperscaler and OEM partners, engage executive buyers, develop proposals and business cases, and coordinate solutions, delivery, legal, and finance teams.

Operate, maintain, and improve client infrastructure focusing on availability, automation, and resiliency. Design and document maintenance procedures, perform root-cause analysis, audit environments for improvements, implement IaC and containerized deployments, administer virtualization and networking, and participate in on-call escalation while mentoring peers and advising clients on technology roadmaps.

Design, deploy, and operate large-scale distributed systems; manage Kubernetes, Istio, and Linux environments; automate workflows with Go/Python/shell; build observability with Prometheus/Grafana/Loki; troubleshoot networking, storage, and performance; participate in on-call rotations and postmortems; collaborate with AI/ML teams to ensure infrastructure readiness for model training and data pipelines.

Provide 24x7 NOC support for managed database and application infrastructure: monitor systems, respond to incidents, trigger operational procedures, escalate per protocol, perform daily proactive checks, troubleshoot and maintain servers, communicate status to customers, participate in shift rotations and on-call coverage, and contribute automation and process improvements.

Lead and mentor an SRE team to deliver reliable, automated, scalable operations for enterprise clients. Own incident escalation, 24/7 management on-call support, SLA achievement, CI/CD and IaC practices, client technical advisement, performance reviews, resource planning, and continuous improvement.

Design, deploy, and operate large-scale distributed systems. Operate Kubernetes, Istio, and Linux; automate with Go, Python, and shell; build monitoring with Prometheus/Grafana/Loki; troubleshoot networking/storage/performance; support AI/ML infrastructure; participate in on-call rotations and postmortem reviews.

Enterprise quota-carrying seller responsible for territory planning, new logo hunting, inbound conversion, and account expansion. Sell Data & AI services and Database Managed Services, lead discovery and solution conversations, co-sell with hyperscaler/OEM partners, manage end-to-end enterprise deals, and coordinate internal delivery, solutions, legal, and finance teams. Maintain accurate Salesforce pipeline and forecast, present proposals and RFP responses, and travel as required for client and partner engagements.

Provide advanced PostgreSQL consulting and administration: design and implement DB solutions, ensure HA and DR, perform backups and PITR, monitor and optimize performance, lead migrations and infrastructure improvements, troubleshoot incidents, produce client documentation and reports, participate in on-call rotation, and drive process and monitoring improvements for managed-service clients.

Provide 24/7 enterprise network support and escalations for global clients, administer and troubleshoot multi-vendor LAN/WAN infrastructures, implement security controls, perform IOS/firmware upgrades, coordinate with ISPs and onsite teams, document incidents and RCA, and lead remediation for affected endpoints.

Design, deploy, and operate large-scale distributed systems; manage Kubernetes clusters and Istio; automate workflows with Go/Python/Shell; build monitoring with Prometheus/Grafana/Loki; troubleshoot networking, storage, and performance; participate in on-call rotations and postmortems; ensure infrastructure readiness for AI/ML workloads.

Quota-carrying enterprise sales role focused on selling Data & AI services and Database Managed Services. Build territory plans, maintain forecasted pipeline in Salesforce, lead discovery and solution conversations for Production AI and cloud data platforms, co-sell with hyperscaler and OEM partners, and manage complex deal execution across internal teams to close high-value, recurring-revenue engagements.