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Remote Salesforce Support Engineer Jobs in Oregon

Tebra

Senior AI Automation Engineer

OR · On-site +1

$103K - $136K/yr

Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce ... Design and automate data flow processes to support AI retrieval (RAG) and insights generation ...

Fieldwire

Data Engineer

OR · On-site +1

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... Support integration and maintenance of key tools including Salesforce, Xero, Ramp and Greenhouse ...

KEYENCE

Field Application Engineer '27

Portland, OR · On-site +1

$53K - $80K/yr

Join KEYENCE as a Field Application Engineer Training Classes Begins January or July 2027 Irvine ... Provide on-call, on-site and remote technical support, training, and troubleshooting * Travel ...

Salesforce, Inc.

Principal, Technical Architect

OR · On-site +1

... to support POCs/technical deep dives into our AI and Data products. * Act as a subject matter ... S. or PhD in Computer Science, Software Engineering or MIS * Salesforce Certifications and/or ...

Grafana Labs

Staff AI Engineer | US | Remote

OR · On-site +1

This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity ... Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)

Gnostech LLC

Software Engineer (US-Remote)

OR · On-site +1

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Apply secure coding practices and support DevSecOps workflows. * Utilize AI-assisted development ...

Platform.sh

Senior Manager, Support

OR · On-site +1

Familiarity with service management practices, SRE and key support metrics Where we hire At Upsun, remote work isn't just a trend - it's our foundation. The freedom of remote work with the support of ...

Cresta

GTM Engineer

OR · On-site +1

$150K - $230K/yr

Remote / Hybrid - Targeting SF or NYC, may consider additional locations across the US. What you ... Integrate and maximize Salesforce, Gong, Clay, Centralize, Slack, Glean, Coda and more * Build ...

Upstart

Software Engineer, Lifecycle

OR · On-site +1

Experience supporting Marketing, Growth, or GTM teams, particularly in environments involving CDPs ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

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All JobsSalesforce Support Engineer JobsRemote Salesforce Support Engineer JobsRemote Salesforce Support Engineer Jobs in Oregon

Remote Salesforce Support Engineer information

What is the difference between Remote Salesforce Support Engineer vs Remote Salesforce Administrator?

AspectRemote Salesforce Support EngineerRemote Salesforce Administrator
CertificationsSalesforce Certified Support Specialist, Salesforce Certified Administrator (preferred)Salesforce Certified Administrator, Salesforce Certified Advanced Administrator
Primary RoleProvides technical support, troubleshooting, and issue resolution for Salesforce users and systemsManages Salesforce platform configurations, user management, and system customization
Work EnvironmentCustomer support teams, technical support centers, remote support rolesInternal teams, IT departments, remote or on-site administration roles
Industry UsageCommon in tech, consulting, and CRM service providersWidely used across industries for Salesforce platform management

While both roles require Salesforce certifications and involve working with the Salesforce platform remotely, the Remote Salesforce Support Engineer focuses on troubleshooting and resolving technical issues, whereas the Remote Salesforce Administrator handles system configurations and user management. Understanding these differences helps candidates choose the role that best fits their skills and career goals.

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Cities in Oregon with the most Remote Salesforce Support Engineer job openings:

Remote Salesforce Support Engineer jobs near you

Senior AI Automation Engineer

Tebra

OR • On-site, Remote

$103K - $136K/yr

Full-time

Re-posted 5 days ago

Key responsibilities

  • Design, build, and maintain Workato recipes, connectors, and orchestrations for enterprise platforms such as Salesforce, NetSuite, Slack, and Snowflake.

  • Architect multi-agent systems, including tool selection, planning loops, state management, and designing systems as agent-callable tools.

  • Design and automate data flow processes supporting AI retrieval (RAG) and insights generation, including managing the RAG lifecycle and ensuring data quality.

Job description

About the Role

We are seeking a hands-on AI & Automation Engineer to design, build, and optimize integrations, automations, and advanced AI workflows, including agentic architecture, that power our enterprise business operations. You'll own the Workato automation stack, engineer scalable AI workflows on top of core platforms (Salesforce, NetSuite, Snowflake, Slack), and implement agentic capabilities that allow systems to act as intelligent tools, reducing manual work and accelerating insights.

This role requires deep technical execution skills in integration development, agentic system design, and programming, combined with a practical understanding of AI workflows. You will collaborate directly with stakeholders to translate business needs into scalable, automated solutions and deliver measurable improvements in system efficiency and operational performance.

Your Area of Focus

Integration & Automation Development

    • Design, build, and maintain Workato recipes, connectors, and orchestrations for Salesforce, NetSuite, Slack, and Snowflake.
    • Implement error handling, observability, and reusable design patterns to ensure reliability and scalability.

Agentic System Design

    • Architect multi-agent systems: tool selection, planning loops, state management, human-in-the-loop Checkpoints.
    • Partner with stakeholders to design corporate systems (Salesforce, NetSuite, Snowflake, Slack, etc) as agent-callable tools, not just data sources.
    • Build guardrails, fallbacks and error recovery for non-deterministic workflows.

Data/RAG Pipeline Design & Management

    • Design and automate data flow processes to support AI retrieval (RAG) and insights generation across core enterprise platforms.
    • Build evaluation into every system to ensure high quality results, considering precision, answer faithfulness, latency, and cost.
    • Own the Retrieval-Augmented Generation (RAG) lifecycle end-to-end, including ingestion, chunking strategy, embeddings, vector storage, and reranking.
    • Implement data quality checks and architectural safeguards to ensure trusted, high-fidelity datasets for AI agents.

AI Operations

    • Production observability: prompt/response tracing, cost monitoring, eval dashboards.
    • Document agent behavior, decision logic and failure modes.
    • A/B testing agent versions, model comparisons.

Programming for Automation

    • Write modular, reusable scripts in Python, Ruby, SQL, or JavaScript to support integration, data transformation, and automation tasks.

Governance & Documentation

    • Apply data governance practices for lineage, security, and retention.
    • Maintain technical documentation, diagrams, and version control via GitHub, Confluence, and Jira.
Your Professional Qualifications
  • 5+ years of experience in integration, automation, AI, or software engineering, with 1+ year hands-on in Workato.
  • Proven expertise with Enterprise iPaaS required (Workato, Mulesoft, or similar).
  • Deep proficiency in designing, implementing, and architecting complex AI workflows and integrations across core platforms (Salesforce, NetSuite, Slack, and Snowflake).
  • Hands-on technical background in programming (Python, Ruby, or similar), leveraging APIs to build and maintain scalable, high-fidelity enterprise systems.
  • Experience using vector databases such as Pinecone, Snowflake Cortex Search, and pgvector for Retrieval-Augmented Generation (RAG).
  • Experience with AI/ML concepts and implementing agentic architecture and AI workflows in enterprise environments.
  • Experience with Cloud Platforms such as GCP or AWS preferred.
  • Experience with GitHub for version control, Jira for work tracking, and Confluence/Lucid for documentation.
  • Strong problem-solving, critical thinking, and ability to execute under minimal supervision.
  • Motivated to learn new technologies and develop new skills.
  • Track record of introducing innovation in automation and AI while maintaining governance and system reliability.
  • Workato Automation Pro , Foundations or SnowPro certifications preferred.

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