Top Tech Jobs & Startup Jobs

Build full-stack AI-powered analytics features across React frontend experiences, Python backend services, query orchestration, dashboards, notifications, and interactive workflows. Collaborate with Product, Design, and AI teams; integrate agent infrastructure; measure feature adoption and insight quality; and participate in on-call rotation. The role requires strong frontend, backend, data, debugging, communication, and ownership skills in a greenfield environment.

Own end-to-end technical design and delivery for experimentation, feature flagging, session replay, and heatmap products. Build and operate React frontends, Python backend services, high-throughput systems, and shared SDK infrastructure. Drive reliability, observability, architecture, technical decisions, customer escalations, and on-call response while partnering with Product, Design, AI Engine, and Platform teams. Mentor engineers and shape future product direction.

Build and own behavior-driven lifecycle communications across onboarding, adoption, retention, and expansion. The role involves segmentation, campaign creation, copywriting, automation, experimentation, analytics, and reporting using tools such as Customer.io, HubSpot, and Mixpanel. It partners with Marketing, Product, and customer-facing teams while developing digital customer success programs for self-serve customers. The manager will also pilot AI-agent applications in customer lifecycle workflows and help establish the function from the ground up.

Owns Mixpanel’s digital customer lifecycle communications across onboarding, adoption, retention, and expansion. Builds behavior-triggered programs, segments audiences, writes email and in-product copy, configures campaigns, measures outcomes, and runs experiments. Partners with Marketing, Product, and customer-facing teams to coordinate messaging and improve adoption. The role also pilots AI-agent approaches to scaled customer success and helps establish the company’s lifecycle infrastructure and operating processes.

Build and own lifecycle communication programs across onboarding, adoption, retention, and expansion. Define behavioral segments and triggers, write customer messaging, launch campaigns, measure outcomes in Mixpanel, and optimize through experimentation. Collaborate with Marketing, Product, Customer Success, and customer-facing teams. Help establish scaled digital customer success programs and pilot AI agents for personalized customer interactions.

Own Mixpanel’s enterprise platform roadmap spanning identity and access management, authentication, audit logging, administration, APIs, design systems, and shared components. Translate enterprise security, compliance, reliability, and adoption needs into priorities; partner with engineering, security, sales, and customer success; build investment cases; engage customers; and define platform health metrics.

Own Mixpanel Data’s strategy and roadmap across the modern data stack. Partner with engineering on data architecture and build-versus-integrate decisions, engage customers, define data governance and metadata evolution, develop infrastructure investment cases, align cross-functional teams, and measure strategic outcomes. The role requires deep product management experience with technically complex, infrastructure-level problems and familiarity with warehouses, lakes, ETL/ELT, and data platform tooling.

Serve as the technical advisor for prospects and customers across LATAM, supporting sales cycles, technical qualification, customized demos, proof-of-concept projects, data architecture, analytics implementation, and executive value conversations. Partner with Account Executives, Product, Engineering, Support, and post-sales teams to drive revenue, customer outcomes, and successful adoption of Mixpanel.

Own and improve end-to-end FP&A for the go-to-market organization. Build financial plans, business cases, forecasts, financial models, and scenario analyses; partner with budget owners and senior leaders; improve planning processes, tooling, data definitions, and data quality; and communicate clear financial insights supporting strategic investment and operating decisions.

Own and support end-to-end GTM financial planning, develop financial strategies and investment business cases, improve planning processes and data quality, and partner with budget owners and senior leaders. The role requires advanced financial modeling, SaaS unit economics, driver-based forecasting, three-statement modeling, scenario analysis, SQL, BI tools, and strong executive communication.