Top Tech Jobs & Startup Jobs

Lead APAC customer success by onboarding and managing major accounts, demonstrating ROI, reducing churn, driving renewals and upsells, coordinating cross-functional teams, gathering client feedback, and improving processes to scale success across the region.

Administer and optimize the Salesforce Sales Cloud: configure objects, security, automations (Flows), reports/dashboards, data imports and deduplication, manage users and permissions, troubleshoot and support end users, collaborate with business teams for requirements, and document configurations and release/change management activities.

Lead outbound prospecting for a PRM SaaS platform: source target accounts, execute multi-channel outreach, qualify leads, schedule demos, maintain Salesforce records, and meet monthly meeting-booking quotas.

Own the reliability, release, and customer-facing correctness of core data products. Manage end-to-end product releases, build proactive data quality monitoring, perform root-cause analyses, respond to data incidents, coordinate fixes with Engineering and Data Science, run QA tests and Looker/BI releases, investigate discrepancies versus customer first-party data, and partner with Commercial to design customer-facing data solutions.

Own day-to-day commercial operations: manage SOWs/contracts, maintain HubSpot CRM hygiene, support invoicing and collections, produce performance and forecast reports, run OKR reporting cadence, track partnership pipelines, and proactively surface stalled deals or process gaps.

Own end-to-end architecture and technical direction for a production AI agent platform: build agent runtime, cloud infrastructure, eval harness, deployment/monitoring/recovery, and lead engineering, mentorship, and client-facing direction.

Lead solution architecture and design for scalable Salesforce implementations across multiple clients. Develop advanced Apex and LWC solutions, build data models, design Flows, and implement REST/SOAP integrations. Ensure performance, governance, and compliance with Salesforce limits. Mentor junior developers, lead client technical discussions in English, and manage multiple concurrent projects in consulting environments.

The Data Services Analyst will ensure timely delivery of data and custom reports, collaborating with teams to create data solutions and support strategic decisions.

Design, build, and maintain scalable data pipelines and architectures; ensure data quality and reliability; enable self-service analytics; collaborate with Data Science, Data Ops, and product teams; troubleshoot and optimize data systems; document and improve data workflows and infrastructure.

Build and productionize ML and generative models (including LLM-powered pipelines and agents), process large-scale messy datasets, develop reusable Python data science libraries, design evals and observability, debug distributed systems, and collaborate with cross-functional stakeholders to deliver production-grade data products.