Artisan Partners Limited Partnership is seeking an experienced Salesforce Developer to support and enhance our Salesforce Sales platform, a business-critical system supporting the Sales Enablement organization. This role will be responsible for technical development, ongoing enhancements, and support of the Salesforce ecosystem, with a particular emphasis on delivering intuitive, efficient, and modern user experiences and interface design within Salesforce.

The ideal candidate will have a strong Salesforce development background across Lightning Experience (LEX), Lightning Web Components (LWC), Apex, integrations, data, and platform security. While this is a hands-on development position, the role requires someone who can understand business workflows and translate them into scalable, user-friendly Salesforce solutions.

The primary focus of the position will be UI/UX development, improving how Sales users interact with Salesforce and simplifying complex business processes through thoughtful application design and automation. The role will also have an AI-forward focus, I with opportunities to incorporate artificial intelligence into the Salesforce ecosystem. Experience with Salesforce Agentforce, Snowflake Cortex, or similar enterprise AI technologies is highly desirable.

Salesforce operates within a broader technology and data ecosystem that includes Snowflake, making experience with Snowflake, data integration/ETL, APIs, and AI-enabled data solutions an additional advantage.
Responsibilities

The candidate is expected to:

• Design, develop, test, deploy, and support solutions across the Salesforce Sales platform with a strong emphasis on UI/UX
• Develop modern and intuitive Salesforce user experiences using Lightning Experience (LEX), Lightning Web Components (LWC), Lightning App Builder, and related Salesforce technologies
• Develop and maintain custom Salesforce functionality using Apex, SOQL/SOSL, triggers, asynchronous processing, APIs, and platform automation
• Develop and support integrations between Salesforce and enterprise platforms using REST/SOAP APIs, middleware, event-driven integrations, and other integration patterns
• Maintain a strong understanding of Salesforce security, including profiles, permission sets, sharing rules, role hierarchy, field-level security, connected applications, OAuth, and integration security
• Participate in code reviews, automated testing, release management, deployment activities, troubleshooting, and production support
• Partner closely with Sales Enablement stakeholders to understand business requirements and translate them into effective technical solutions
• Collaborate with enterprise architecture, security, data, infrastructure, and other technology teams when designing solutions that extend beyond Salesforce
• Support integration and data movement between Salesforce and Snowflake, including ETL/ELT processes and APIs, while exploring opportunities to incorporate AI and intelligent automation into Salesforce workflows and Sales Enablement processes, including technologies such as Salesforce Agentforce and Snowflake Cortex
• Remain current on Salesforce releases, platform capabilities, security changes, development practices, and emerging AI technologies

Qualifications

The successful candidate will possess strong analytical skills and attention to detail. Additionally, the ideal candidate will possess:

• Minimum of 3 years of professional Salesforce development experience, including hands-on experience with Apex, Lightning Web Components (LWC), integrations, and platform configuration
• Experience integrating Salesforce with enterprise data platforms such as Snowflake
• Experience working in financial services, investment management, asset management, or other highly regulated environments
• Salesforce certifications such as Platform Developer I/II, JavaScript Developer I, Platform App Builder, or relevant Salesforce AI certifications
• Experience with Salesforce Agentforce and/or Einstein AI capabilities
• Experience building or integrating AI agents and AI-enabled business workflows
• Experience with Snowflake, including data integration, ETL/ELT, Cortex AI or other enterprise generative AI platforms
• Understanding of semantic data models, LLMs, prompt engineering, and AI application patterns

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