Top Tech Jobs & Startup Jobs

Own the full sales cycle for Square’s SMB merchant customers in the UK, from prospecting through close. Build trusted customer relationships, communicate Square’s value, manage pipeline activity, exceed sales targets, and develop consultative solutions. Partner with onboarding, Product, Marketing, and other cross-functional teams to support customer success and improve sales strategies.

Own a local territory through field-based prospecting, business visits, live product demonstrations, consultative selling, and full-cycle deal closure. Build pipeline through door-to-door outreach, events, networking, referrals, and partnerships. Develop relationships with local businesses, sell Square’s software and hardware ecosystem, maintain Salesforce pipeline discipline, forecast accurately, and consistently exceed sales quotas.

Own a London territory through field-based prospecting, business visits, demos, consultative selling, and full-cycle deal closing. Build pipeline through door-to-door outreach, events, community engagement, and partnerships; develop relationships with local businesses; support onboarding; manage referrals; maintain Salesforce activity and forecasts; and consistently exceed sales quotas across Square’s software, hardware, and financial services products.

Own the Pittsburgh territory through field-based, full-cycle sales. Generate pipeline through prospecting, networking, events, partnerships, and door-to-door outreach; conduct demos; close deals; manage Salesforce activity and forecasts; and exceed quotas. Build trusted relationships with local businesses across restaurants, retail, and services while coordinating onboarding and referrals. The role requires approximately 80% field work and 50–60 targeted business visits weekly.

Own the full outbound sales cycle for mid-market merchants, from prospecting and pipeline development through discovery, demonstrations, negotiation, and close. Build multi-product solutions, acquire new logos, manage complex multi-stakeholder deals, maintain Salesforce forecasting accuracy, collaborate cross-functionally, and consistently achieve revenue targets.

Own the full outbound B2B sales cycle for SMB and mid-market merchants, from prospecting and pipeline development through discovery, demos, negotiation, and close. Build tailored multi-product solutions, acquire new logos, manage complex multi-stakeholder deals, maintain accurate Salesforce forecasts, collaborate cross-functionally, and consistently achieve revenue targets.

Own end-to-end analytics engineering for AI and developer-experience telemetry, including instrumentation, production pipelines, governed metrics, monitoring, executive dashboards, and analysis. Define and validate new measures of AI productivity and ROI, communicate findings to senior stakeholders, and recommend improvements to tooling, processes, and investment. Collaborate with data engineering, applied AI, and data science teams while using AI coding agents to build and maintain pipelines and reporting.

Leads strategic pricing and monetization across sales-driven channels, managing pricing partners and advising on complex commercial deals. Develops pricing frameworks, approval processes, deal governance, and scalable tools using automation, AI, and data. Partners with Sales, Product, Engineering, Legal, Risk, and Revenue Operations to improve deal economics, profitability, pricing performance, packaging, and portfolio-level monetization strategy.

Own the Detroit territory through primarily in-person field sales. Generate pipeline via business visits, networking, events, partnerships, and cold outreach; conduct product demonstrations; manage full-cycle sales; close deals across Square’s software and hardware ecosystem; build relationships with local businesses; support onboarding; maintain Salesforce activity and forecasts; and consistently exceed quota. The role requires reliable transportation and local residence, with approximately 80% of the week spent in the field.

Develop data tools, AI automations, ETL pipelines, dashboards, and machine learning models for payments. Analyze experiments, optimize payment performance and costs, mitigate risk, maintain data systems and cloud infrastructure, and translate business needs into actionable solutions while partnering with Product, Engineering, Finance, and Operations.