Lead Salesforce development, consolidating processes, building automation, and integrating with the GTM stack for a rapidly growing jewellery marketplace.
Responsibilities
Consolidate processes and tooling into Salesforce
Build and maintain Sales Cloud improvements
Prototype and deliver Agentforce and AI use cases
Support Service Cloud and Marketing Cloud rollout
Build back-end Salesforce solutions
Requirements
Salesforce Platform Developer I certification
Nice to have: Salesforce Platform Developer II certification
Nice to have: Service Cloud or Marketing Cloud certifications
Nice to have: Marketplace or e-commerce experience
Deploy and maintain Google measurement solutions across multi‑country digital properties, building data ingestion pipelines and ensuring compliance with global privacy regulations.
Conduct technical discovery and architectural audits across complex, multi‑country digital properties to evaluate tracking architecture, tag health, consent frameworks, and first‑party data readiness.
Configure and deploy durable Google measurement solutions.
Build and maintain data ingestion pipelines using Google Ads Data Manager, APIs, and lightweight scripting (Python, SQL, JavaScript) to connect CRM and offline conversion signals with Google advertising platforms.
Design and execute validation and QA test plans using browser debugging tools and API logs to troubleshoot edge cases, verify signal integrity, and ensure compliance with global privacy regulations (e.g., GDPR, Consent Mode v2).
Deliver technical documentation and enablement for client engineering teams, agencies, and internal cross‑functional partners (Global EMs, Ads Solutions Engineering) to operationalize scalable blueprints and facilitate smooth handovers.
Requirements
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or equivalent practical experience
Nice to have: Server‑Side Google Tag Manager (sGTM)
You’ll work side by side with Product Specialists and Product Managers in a cross‑functional Agile team, helping design and build our interactive platform from end to end.
Responsibilities
Build client‑ready dashboards and run large‑scale data analysis
Design new data workflows and analytical queries to support the launch of new product features and instances
Apply advanced statistical and data‑mining techniques such as fraud analysis, sentiment analysis, regressions, and time‑series analysis
Support team leads with problem‑solving, hypothesis generation, research, and quality control
Communicate findings clearly to teammates and product leads
Requirements
Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or another technology‑related field — or equivalent hands‑on experience
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