Top Tech Jobs & Startup Jobs

Own end-to-end marketing operations for APAC in-person and online events, including campaign intake, audience segmentation, registration, email execution, attendance tracking, lead scoring, routing, nurture, and sales handoff. Analyze campaign, engagement, and pipeline performance while maintaining data quality, privacy, consent, and governance standards. Partner across Field Marketing, Demand Generation, Marketing Technology, Sales, and offshore teams to manage timelines, risks, dependencies, and scalable operating procedures.

Drive new business growth for Stripe Terminal by prospecting, managing the full sales cycle, closing strategic deals, and expanding existing customer relationships. Lead complex product and technical sales conversations involving hardware, software, and payments. Develop go-to-market strategies, negotiate bespoke agreements, advise customers and internal teams, and collaborate with Product, Engineering, Marketing, and User Operations to accelerate adoption.

Owns renewals, commercial negotiations, upsells, and client retention among AI startup customers. Develops sales strategies, builds go-to-market playbooks for AI monetization and usage-based billing, generates pipeline, and engages AI founders and influencers. Collaborates cross-functionally on complex customer needs, represents Stripe at market-facing events, and manages consultative sales cycles in a fast-paced environment.

Participate in Stripe’s 12-month New Grad Accelerator by working closely with users, identifying problems, and owning solutions from discovery through design, implementation, deployment, and iteration. Build features with AI-enabled development practices, navigate technical constraints, improve workflows, and share effective approaches with teammates. Participants begin on a host team and may transition into a full-time Product Manager role after completing the program.

Leads engineering for Stripe’s agentic commerce products, owning full-stack solutions across APIs, backend services, dashboards, payment systems, and integrations. Partners with product, design, data science, marketing, and enterprise customers to define and deliver new commerce experiences. Coaches senior and staff engineers, drives cross-team technical initiatives, establishes success metrics, and ensures reliability and enterprise-grade execution.

Build backend systems for Stripe’s Intelligent Commerce team. The provided description contains no detailed responsibilities, minimum requirements, preferred qualifications, technologies, compensation, travel, or clearance information.

Own the full commercial cycle for Stripe’s FX Acquiring, Multicurrency Settlement, and Currency Conversion products. Prospect, structure, negotiate, and close complex deals with global merchants and platforms while engaging CFO, treasury, and engineering stakeholders. Act as an FX product specialist for account executives, develop go-to-market strategies and sales playbooks, support merchant activation, and provide market feedback to product teams.

Manage Stripe’s strategic partnerships with Y Combinator and other accelerators, supporting startup founders through programs, product education, ecosystem engagement, and cross-functional initiatives. Build trusted relationships with founders, investors, and partners; represent Stripe at events; gather market and product feedback; communicate business insights; and use SQL or Python to develop tools and measure impact.

Lead risk-based internal audits across governance, risk management, financial reporting, operations, internal controls, and regulatory compliance in EMEA. Develop audit strategy, evaluate control effectiveness, report findings to boards and senior leaders, engage regulators, and oversee remediation through verified closure. Partner with engineering, product, treasury, legal, compliance, and operations teams while monitoring regulatory developments and strengthening continuous audit capabilities.

Leads Stripe’s Credit Risk machine learning engineering team, setting technical and product strategy for systems that detect and mitigate credit risk. Owns outcomes including credit losses, profitability, detection quality, and user experience. Oversees delivery of reliable models and decision systems, partners cross-functionally on priorities, and recruits, develops, and manages machine learning engineers while contributing to broader engineering leadership.