Salesforce Developer

• Develop Revenue Cloud functionality using Apex, Lightning Web Components, and Flows
• Configure CPQ components (products, price books, quote templates, rules)
• Follow established coding standards and architectural patterns
• Participate in code reviews (both giving and receiving feedback)
• Work within established CI/CD pipelines for code deployment
• Use version control effectively (Git-based workflow)
• Work alongside delivery partner developers during R1
• Support UAT and production deployment activities

• Design and build dynamic, branded customer flows using OmniScripts.
• Create modular, data-driven user interfaces using FlexCards.
• Configure DataRaptors and Integration Procedures to extract, transform, and load data between Salesforce and external APIs.
• Implement industry-specific functionality such as CPQ (Configure, Price, Quote), Attribute-Based Pricing, or Advanced Approvals.
• Optimize Integration Procedures to ensure fast UI response times and efficient handling of large data payloads.
• Use Apex and Lightning Web Components (LWC) only when declarative OmniStudio tools reach their functional limits.

Contract Salesforce Developer – Salesforce Industries

• Own back-end Salesforce development: Write high-quality Apex code (classes, triggers, controllers) and manage complex Flows and process automation across all Salesforce clouds.
• Design custom UI components: Build Lightning Web Components (LWC) to create bespoke user interfaces that improve team efficiency beyond standard page layouts.
• Manage technical debt: Perform regular code reviews and refactor legacy Apex or redundant Flows to ensure the system stays within Salesforce governor limits and remains performant.
• Manage platform quality: Lead all quality assurance (QA) testing, debugging, and bug fixing to maintain a stable, error-free environment.
• Lead the Shopify integration: Own the end-to-end synchronisation of Shopify data and invoices into Salesforce ahead of the mid-May launch.
• Snowflake collaboration: Partner with the Senior Data Engineer to manage data streams between Snowflake and Salesforce, specifically architecting for Large Data Volumes (LDV).
• Enable advanced reporting: Pull revenue and order statistics from Snowflake into Salesforce to enable robust, real-time dashboarding and reporting for leadership.
• System monitoring: Build robust logging and alerting frameworks for all external APIs to catch and resolve synchronisation failures before they impact the business.
• Scale with RevOps: Work in agile sprints to manage custom objects and schema changes across Sales Cloud and Marketing Cloud.
• Standardise core processes: Implement global value sets, standardised pipeline stages, and automated lead tagging linked directly to marketing channels.
• Identify improvements: Proactively audit the Salesforce setup to identify gaps and propose architectural improvements without waiting for direction.
• DevOps & Governance: Establish version control (Git) and CI/CD deployment pipelines to move away from manual changes and ensure safe, audited releases.
• Transition from Agency: Act as the primary internal expert to successfully transition the platform away from the current outsourced agency.
• Comprehensive Documentation: Create and maintain technical documentation, data dictionaries, and architectural diagrams to ensure maintainability and smooth team handovers.
• Internal Advisory: Act as the "Internal Architect" to advise on build-vs-buy decisions regarding third-party AppExchange tools and middleware.

• Take a hands-on, senior role in shaping and delivering our Salesforce platform
• Responsible for designing and building robust solutions using Apex, Lightning Web Components, and modern integration patterns
• Set a high bar for code quality, testing, and maintainability
• Work closely with product, data, and business stakeholders to translate complex requirements into scalable, well-architected systems
• Provide architectural guidance across Salesforce integrated ecosystems
• Mentor other engineers and contribute to a strong engineering culture

Lead Salesforce Developer

• Support the design, development, and deployment of AI models and automations within Salesforce, with a focus on Agentforce and Data 360 platforms
• Work with stakeholders to understand business requirements and help translate these into practical AI solutions
• Configure, customise, and help optimise Salesforce AI features, supporting integration with existing systems and alignment with FCA guidelines
• Assist with monitoring and maintaining AI models to ensure accuracy, relevance, and compliance, contributing to ongoing improvements where required
• Provide technical support to business users, including assisting with training and resolving issues related to Salesforce AI functionality
• Create and maintain clear documentation for AI models, workflows and system integrations
• Collaborate with IT security and risk teams to support data privacy and ensure AI solutions meet relevant regulatory requirements
• Keep up to date with developments in Salesforce AI, Agentforce, Data 360, and related technologies

• Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
• Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
• Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
• Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
• Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
• Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
• Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
• Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
• Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
• Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
• Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
• Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
• Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.

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