Top Tech Jobs & Startup Jobs

Owns company-wide revenue retention and add-on monetization analytics across CPaaS, AI features, Customer Success, and Finance. Builds canonical GRR, NRR, churn, and monetization metrics; applies causal inference methods to distinguish true retention drivers from bias and data artifacts; guides experimentation and forecasting; and influences cross-functional product, pricing, lifecycle, and customer success decisions without direct authority.

Owns customer growth analytics across onboarding, activation, trial-to-paid, multi-product adoption, retention, and expansion. The role develops canonical metrics, segment definitions, value models, and causal-inference standards; identifies behaviors that predict expansion; evaluates experiments; and translates product, behavioral, and revenue data into guidance for Growth, GTM, Finance, and product leaders. It also shapes event taxonomy, influences roadmap and investment decisions, and establishes reusable analytical practices across teams.

Own analytics and measurement for HighLevel’s AI product portfolio. Define instrumentation standards, feature-level KPIs, adoption and quality metrics, and rigorous approaches for evaluating nondeterministic AI features. Partner with experimentation leaders, PMs, engineering, and Analytics Engineering to close data gaps, influence product roadmaps, establish canonical metrics, and mentor future analysts.

Own the architecture health and resilience of HighLevel’s billion-scale distributed systems. Identify failure modes, capacity constraints, consistency risks, and cross-service dependencies; approve critical designs; prototype and ship architectural fixes; and improve backpressure, degradation, idempotency, and fault isolation. Partner across teams through design reviews, incident remediation, and postmortems while raising engineering standards for systems operating at massive scale.

Owns the platform infrastructure supporting high-volume Workflows and Conversations systems. Responsibilities include designing queueing pipelines, storage layers, caching, rate limiting, schedulers, and cloud infrastructure; optimizing databases, sharding, replication, and migrations; managing Kubernetes and GCP capacity; improving observability; debugging cross-layer incidents; and writing design documents and root-cause analyses.

Build and scale HighLevel’s Labs platform for feature flags, staged rollouts, experimentation, and customer feedback. Develop reliable backend services, APIs, frontend workflows, data models, caching, and distributed systems using modern technologies. Own complex features from design through production, contribute to architecture and technical decisions, implement observability and testing, support incident resolution, and collaborate with product, design, and engineering teams. The role also involves AI-assisted development, production support, code reviews, and mentoring.

Lead product design strategy and execution for complex HighLevel platform experiences. Partner with product, engineering, research, and data teams to define vision, design workflows, improve usability and accessibility, and establish scalable design standards. Use customer insights and metrics to guide decisions, lead quality reviews, mentor designers, facilitate critique, and influence product direction across a distributed remote organization.

Lead and develop the Trial Experience team to drive trial engagement and conversion. Coach managers and frontline staff, monitor KPIs, improve processes, handle escalations, and use data to optimize outcomes. Foster a high-performance, customer-focused culture and collaborate cross-functionally to ensure customers derive value from the HighLevel platform.

Six-month remote apprenticeship supporting customer onboarding, software implementation, transition planning, product adoption, documentation, education sessions, and basic implementation issues. The apprentice will work with experienced advisors, understand customer needs, collaborate with internal teams, maintain customer relationships, and help improve implementation and onboarding experiences while developing SaaS and customer success skills.

Own the architecture and technical direction of HighLevel’s platform frontend, including the application shell, module federation, shared component library, build tooling, and performance standards. Lead migrations, independent release strategies, failure isolation, accessibility, internationalization, and observability. Remain hands-on with frontend architecture and code while mentoring engineers, driving cross-team adoption, and optimizing large-scale web applications.