Top Tech Jobs & Startup Jobs

Own end-to-end execution of Sales Plays: build and match target account lists, load and validate data in Salesforce and cadencing tools, train GTM teams, monitor KPIs with reports/dashboards, troubleshoot data issues, and drive continuous improvement and cross-functional alignment.

Lead design and delivery of integrations between Salesforce and internal systems using iPaaS (Workato). Act as technical product owner: gather requirements, create technical documentation, manage UAT, and build roadmaps. Own data governance, monitoring, and integration reliability while collaborating with Engineering, Product, GTM, and RevOps to ensure data consistency and enable revenue workflows.

Process and book customer payment transactions, manage beneficiary templates, communicate with internal and external partners, and ensure timely, accurate transaction processing in a high-volume environment.

Perform daily bank and general ledger reconciliations, investigate and resolve open items, enter and manipulate financial data in systems and Excel, ensure regulatory compliance, and collaborate with team members to propose solutions and maintain accurate accounting records.

As a Lead Commercial Finance, you'll partner with various teams to enhance commercial decision-making, manage profitability analyses, develop KPIs, support pricing strategies, and mentor team members to improve financial practices.

Lead Japan GTM sales: develop and execute go-to-market strategy, prospect and close new clients, manage onboarding and early adoption, grow existing accounts, collaborate with product/pre-sales, and localize materials while advising clients on FX and payments.

Lead marketing operations for Brand & Growth including planning cadence, budget management, vendor governance, and process improvement. Coordinate planning cycles, maintain governance artifacts, manage multi-million-dollar budgets, administer budgeting systems, and centralize vendor contract tracking to ensure compliance and efficient execution.

Lead the Revenue Operations AI strategy to identify, prioritize, pilot, and scale AI use cases that boost seller productivity, improve forecast accuracy, and deliver measurable commercial value. Partner cross-functionally to build business cases, run experiments, create measurement frameworks, and drive adoption across sales.

Lead the Revenue Operations AI agenda: identify and prioritize AI use cases, run pilots, build business cases, measure impact, and drive adoption to improve seller productivity, forecast accuracy, CRM data quality, and operational efficiency.

Design and implement transaction monitoring and sanction screening systems, developing REST services, and enhancing microservices architecture while maintaining web-based applications.