Jobs at People.ai

Leads GTM operations for a B2B SaaS company, owning metrics, data architecture, forecasting, executive reporting, AI-driven intelligence, retention signals, compensation, territory and quota planning, pricing approvals, lead routing, CPQ, and CRM administration. Builds scalable operating systems for Sales, Customer Success, and Partnerships, supports consumption-based land-and-expand growth, and presents guidance to executive leadership. Requires deep revenue operations, SaaS metrics, applied AI, forecasting, commercial operations, and data tooling expertise.

Leads the customer success organization, owning retention, expansion, consumption, renewals, segmentation, customer value realization, and operating metrics. Manages CSM leaders and teams, builds scalable playbooks and capacity models, develops talent, and partners with Sales, Services, Support, Studio, Product, and Marketing. The role requires executive customer engagement, enterprise success planning, usage-based pricing experience, and applying AI tools and workflows to modernize customer success.

Own demand generation and enterprise pipeline growth through paid acquisition, performance marketing, SEO, AI-driven discovery, campaign automation, web conversion optimization, lifecycle nurture, attribution, and performance creative. Manage agencies, digital budgets, funnel optimization, and cross-functional campaign execution while using AI tools to scale marketing operations.

As a Senior Software Engineer, you will design and implement backend services, handle large data sets, build scalable systems, and collaborate with teams to enhance AI-driven products.

Build and maintain low-latency APIs, distributed microservices, and reliable data pipelines (including audit logs and BI exports). Improve observability, reduce operational toil, and deliver end-to-end features with product and engineering teams.

Own and build foundational backend services: identity, authorization, audit logging, data pipelines, and low-latency APIs. Architect, implement, monitor, and refactor distributed microservices ensuring high consistency, observability, and automation while partnering with Product and cross-functional teams.

Design and implement backend services and data pipelines to match business activities to context. Perform data-driven research, build scalable ML/LLM systems, write tests, create observability and runbooks, and collaborate across teams to deploy and operate production services.

Design, build, and maintain backend services, REST APIs, databases, and near-real-time and batch data pipelines. Develop a query engine and scalable insights pipelines, collaborate with product and engineering, improve legacy code, and ensure production monitoring, alerting, and tooling for support.

Lead platform roadmaps for Matching, Activity Capture, and CRM integrations. Improve data quality, instrument metrics, triage customer issues, represent platform in customer and IT settings, and enable CS/SE teams while bringing AI tools into product workflows.

Lead strategic enterprise sales cycles with Fortune 500 executives, navigate complex buying committees, build predictable pipeline, execute value-based selling, and close high seven- to eight-figure deals while partnering cross-functionally to drive revenue growth.