Jobs at Amperity

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.

Leads the full Customer Success organization across strategic enterprise and scaled customer segments. Owns retention, expansion, customer health, executive sponsorship, operating models, resource allocation, and commercial outcomes. Builds organizational design, talent pipelines, engagement standards, health-scoring systems, and escalation processes while partnering with Sales, Product, Engineering, and executive leadership. Drives AI-enabled customer operations and manages high-value enterprise relationships.

Lead Amperity’s legal function and advise executives on commercial transactions, product development, privacy, AI, employment, corporate matters, partnerships, and strategic decisions. Establish a commercially aligned, AI-first legal operating model; improve contracting speed and predictability; create templates, playbooks, approval standards, and escalation paths; identify business risks and insights; and determine what work should be handled internally, outsourced, automated, or self-served.

Lead the architectural strategy of the BASS platform by guiding technical decisions, mentoring engineers, and addressing complex operational challenges with a focus on AI-driven solutions.

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.

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.

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.

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.

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.

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.

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.