Roles remotos de Salesforce para candidatos en Estados Unidos.

Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring.

• Middle
• CI/CD
• Python
• Salesforce
• +2

Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses

• Senior
• Python
• Salesforce
• Snowflake
• +1

Data Architecture & Pipeline Engineering: Architect, build, and operate resilient data pipelines integrating Salesforce, SAP, and service data into highly governed analytical and operational data products.

• Senior
• LLM
• Python
• Salesforce
• +1

You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly

• Python
• Salesforce
• Snowflake
• +2

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

You want to impact the industries that run our world: Your efforts will result in real-world impact — helping keep the lights on, get food into grocery stores, reduce emissions, and ensure workers return home safely.

• Senior
• AWS
• Azure
• GCP
• +6

Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings

• Senior
• CI/CD
• Docker
• Kubernetes
• +4

Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.

• Lead
• AWS
• Azure
• GCP
• +3

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Lead
• CI/CD
• GCP
• JavaScript
• +4

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Lead
• CI/CD
• GCP
• JavaScript
• +4

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Lead
• CI/CD
• GCP
• JavaScript
• +4

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Lead
• CI/CD
• GCP
• JavaScript
• +4

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Senior
• CI/CD
• GCP
• JavaScript
• +4

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

• Senior
• CI/CD
• GCP
• JavaScript
• +4

5+ years in marketing analytics and data strategy within complex B2B SaaS environments

• Senior
• Salesforce
• Snowflake
• SQL

7+ years in marketing analytics and data strategy within complex B2B SaaS environments

• Lead
• Salesforce
• Snowflake
• SQL

Review and analyze business requirements to produce comprehensive, and well-structured test strategy and test cases.

• Middle
• AWS
• CI/CD
• Python
• +2

Optimize Inference: Build and tune production LLM serving with vLLM and SGLang—maximizing throughput and minimizing latency through batching, paged attention, quantization, and KV-cache strategies

• Senior
• Kubernetes
• LLM
• Python
• +2

Hunt and prospect into enterprise accounts and generate meetings with stakeholders across all levels, from C-suite executives to data engineers.

• Salesforce

Own the CRM enrichment strategy — design and maintain the data foundation our GTM org runs on, spanning account and contact data quality, enrichment workflows, and data provider orchestration across our stack (Clay, Harmonic

• Salesforce
• Snowflake
• Spark

Semantic Layer Architecture: Build and maintain high-fidelity dbt and SQL models that serve as the "ground truth" for our complex, usage-based revenue models.

• Senior
• Python
• Salesforce
• SQL