Artificial Intelligence

Be an Early Applicant Remote or Hybrid Hiring Remotely in United States Senior level Remote or Hybrid Hiring Remotely in United States Senior level Lead the design and implementation of AI-powered analytics and applications using Snowflake Cortex. Develop semantic models, search and retrieval solutions, agents, AISQL workflows, Snowflake databases, and scalable ETL/ELT pipelines. Optimize performance, security, governance, and data quality while guiding high-impact initiatives and aligning data engineering solutions with organizational goals. Collaborate with technical and business stakeholders and provide executive guidance. The summary above was generated by AI

Core Responsibilities

AI & Snowflake Cortex Responsibilities

• AI Solution Design & Implementation: Build AI-powered analytics, semantic insights, and business applications using Snowflake Cortex capabilities.
• Semantic Models & Views: Develop and maintain semantic layers enabling natural language querying, governed metrics, and business-friendly data access.
• Cortex Search & Knowledge Retrieval: Design and optimize enterprise search solutions for document intelligence and knowledge retrieval.
• Cortex Agents: Configure and orchestrate agents to unify structured and unstructured data sources for automated workflows.
• AISQL Functions: Implement summarization, classification, extraction, sentiment analysis, and content generation use cases.
• AI Application Development: Build interactive AI applications using Streamlit, Snowsight, and Python frameworks within Snowflake.
• Testing & Improvement: Validate, monitor, and continuously enhance AI models, agents, and applications.

General Snowflake Development Responsibilities

• Database Design & Management: Create and manage Snowflake databases, schemas, tables, and objects for efficient, organized data storage.
• SQL Development: Write complex SQL queries to extract, transform, and load (ETL/ELT) data for analytics, reporting, and AI workflows.
• Data Pipeline Development: Build and maintain scalable ETL/ELT pipelines to ingest data from diverse sources into Snowflake with high quality and reliability.
• Performance Optimization: Monitor and optimize Snowflake performance through query tuning, clustering, micro-partitioning, and workload scaling.
• Security & Access Control: Implement RBAC, data governance, user permissions, and security policies to protect sensitive information.
• Collaboration: Work closely with data engineers, analysts, architects, and business teams to translate requirements into scalable data and AI solutions.
• Testing & Documentation: Conduct unit testing, code reviews, and maintain clear documentation for data workflows, pipelines, and AI applications., Own the data partnerships product roadmap and serve as the product expert in partner deals. Scope data products, conduct technical diligence, create data samples and specifications, shape pricing, and coordinate Legal, Security, Data Engineering, and partners through launch. Build reusable capabilities for APIs, data feeds, consent, access controls, and integrations while supporting commercial partnerships and compliance requirements. Top Skills: APIsConsent ManagementData FeedsDe-IdentificationHashingIntegrationsOauthWarehouse Sharing Dynatrace

Sr Manager, Renewals Operations (Americas)

Yesterday Remote or Hybrid 125K-150K Annually Senior level 125K-150K Annually Senior level Artificial Intelligence * Big Data * Cloud * Information Technology * Software * Big Data Analytics * Automation Leads the Americas Renewals Desk and develops a high-performing operations team supporting pricing, quoting, proposals, contract validation, account analysis, and renewal transactions. Establishes KPIs, service levels, reporting, and process improvements while partnering cross-functionally with Sales, Finance, Customer Success, Deal Desk, and Business Systems. Evolves renewals operations through Salesforce enhancements, analytics, automation, and AI to improve accuracy, productivity, forecasting, and strategic decision-making. Top Skills: AIAnalyticsAutomationSalesforce

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Snowflake & AI Expertise

• Hands-on experience with Snowflake Cortex: Cortex Analyst, Cortex Search, Cortex Agents, AISQL Functions, Semantic Models.
• Strong understanding of Snowflake’s CoCO, Snowpark, and platform-native AI capabilities.

Technical Skills

• Proficiency in SQL, Python, and ETL/ELT tools ( Informatica, dbt etc.).
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with Spark, Kafka, and modern data engineering frameworks.

Data Warehousing & Modeling

• Strong knowledge of dimensional modeling(star Schema), semantic modeling, data architecture, and analytical data design.
• Experience integrating AI/ML patterns into enterprise data platforms.

Generative AI & LLMs

• Experience with prompt engineering, RAG architectures, embeddings, and agent design.
• Understanding of LLM-driven workflows and enterprise AI application patterns.

Soft Skills

• Strong problem-solving abilities and analytical thinking.
• Effective communication with technical and non-technical stakeholders.
• Ability to work collaboratively and take ownership of projects.

Certifications (Preferred)

• Snowflake Certified Developer / SnowPro
• Cloud certifications (AWS, Azure, GCP)

ResponsibilitiesOversee organizational data engineering solutions. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance. QualificationsGraduate in Computer Science, Data Science, or related field. 6-8 years of experience in data engineering or related field.

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