Amperity
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Recently posted jobs
Software • Big Data Analytics
Leads enterprise sales growth for Amperity’s data and AI platform. Responsibilities include prospecting, pipeline and revenue management, account planning, consultative technical selling, executive engagement, forecasting, renewals, partner development, contract support, and cross-functional collaboration. The role requires translating complex data-platform capabilities into business outcomes, developing AI-related opportunities, maintaining Salesforce records, and achieving new business and commercial renewal targets.
Software • Big Data Analytics
Leads enterprise sales growth for Amperity’s customer data and AI platform. Responsibilities include prospecting, managing named-account sales plans, forecasting pipeline, achieving new business and renewal targets, conducting technical and consultative selling, engaging executive stakeholders, supporting negotiations, and partnering with marketing, product, professional services, finance, legal, cloud providers, systems integrators, and technology partners. The role also contributes to go-to-market strategy, messaging, customer insights, and partner-influenced opportunities.
Software • Big Data Analytics
Owns Amperity’s IT systems, integrations, automation, identity lifecycle, SaaS administration, data-platform governance, AI-tool deployment, macOS fleet, MDM, monitoring, backups, and recovery. The role partners with Security, Engineering, People, HR, and GRC teams; manages access, vendors, licenses, documentation, and escalated employee support while improving operational efficiency through automation.
Software • Big Data Analytics
Serve as a senior talent advisor for the Go-To-Market organization by developing workforce and hiring strategies, leading complex searches, advising executives, improving assessment quality, providing market and compensation intelligence, negotiating offers, optimizing recruiting systems, applying AI-powered tools, and mentoring People team members. The role is based in New York City with four required in-office days each week.
Software • Big Data Analytics
The role involves developing enterprise software, building data pipelines, and creating flexible marketing solutions using AI capabilities. You'll work on a mission-critical platform to improve understanding of customer data and engage audiences through collaboration and innovation.
Software • Big Data Analytics
Lead engineer for SaaS platform building large-scale data and AI infrastructure: ingesting/processing customer data, productionizing ML, guiding architecture, automating VM/data pipelines, mentoring engineers.
Software • Big Data Analytics
Senior software engineer responsible for building advanced data pipelines, integrating AI and predictive analytics, and creating full-stack tooling and marketing solutions on a customer-data platform. Will own production features, work with big-data technologies, and help grow Amperity's Argentina presence while collaborating across teams.
Software • Big Data Analytics
Build and maintain large-scale data pipelines and full-stack features on an AI-powered customer data platform. Integrate ML capabilities, work with big-data engines, deploy cloud-native infrastructure, and deliver production-ready features that help customers visualize and activate their data.
Software • Big Data Analytics
Advise consumer-brand marketers on customer data activation, segmentation, cross-channel marketing programs, campaign measurement, and optimization. Partner with analytics, product, engineering, and marketing teams to deliver client value and influence product direction. Drive AI experimentation, personalization strategies, and adoption of Amperity’s AI capabilities while contributing to thought leadership. The role involves ongoing client engagement, presentations, strategic consulting, and occasional travel.
Software • Big Data Analytics
Lead Customer Success Manager guides enterprise customers through the full lifecycle to drive adoption, deliver measurable ROI, run executive business reviews, identify upsell opportunities, mitigate risks, and advocate customer needs across Sales, Product, Engineering, and Services to maximize long-term platform value.



