Jobs at HighLevel

Lead the Platform Services engineering team responsible for shared infrastructure, internal tooling, and core services. Own distributed systems architecture, cloud reliability, observability, cost optimization, roadmap delivery, and incident management while remaining hands-on with code and production systems. Hire, mentor, and develop engineers; establish technical standards; and collaborate with product engineering, SRE, security, and leadership. Drive AI-assisted engineering practices and platform automation.

Leads and scales the SDET team, defining test automation strategy across web, mobile, and API layers. Oversees automation frameworks, CI/CD integration, release readiness, quality gates, performance and security testing, and testing infrastructure for cloud-native microservices. Partners with engineering and release teams to improve quality and delivery speed while using GenAI tools to enhance test productivity. Mentors engineers, establishes quality standards, and drives continuous improvement.

Build and lead HighLevel’s customer growth and activation function for an installed SMB and agency customer base. Own lifecycle journeys, trial-to-implementation conversion, activation, expansion revenue, AI deflection quality, customer scorecards, enablement, experimentation, and cross-functional execution. Establish measurable outreach plays with holdout groups, define customer cohorts, improve first-90-day engagement, and manage a team assembled to deliver a new lifecycle motion.

Own enablement for Implementation and Customer Success teams by designing SOPs, curricula, onboarding, certification, QA frameworks, coaching systems, and continuous learning programs. Lead trainers and QA analysts, establish measurable capability standards, partner with Product and Operations on enablement, and use performance data to improve ramp time, process adherence, call quality, and product expertise.

Lead email growth product strategy across activation, onboarding, product-led growth, experimentation, analytics, monetization, and retention. The role designs onboarding funnels, viral growth loops, A/B testing programs, and feature adoption initiatives while measuring campaign ROI, lifecycle value, and ARR impact. Success requires cross-functional leadership across engineering, marketing, design, analytics, customer success, and revenue operations.

Lead quality engineering vision and roadmap across product lines, drive CI/CD and release readiness, embed shift-left/shift-right practices, adopt AI-driven testing, mentor SDET managers, align quality metrics with executives, and architect test strategies for distributed systems and mobile.

Senior Program Manager leading Commerce release planning and cross-functional programs across Product, Engineering, Customer Success, Support, Marketing, and Revenue Operations. The role establishes release metrics, dashboards, governance cadences, risk visibility, and customer feedback loops while improving activation, retention, predictability, and customer sentiment. It requires translating strategic priorities into measurable programs, aligning stakeholders, mentoring team members, and presenting progress to senior leadership.

Supports product marketing research, analytics reporting, competitor and customer research, customer education, product launches, campaigns, and presentations. The apprentice organizes and validates data, gathers industry benchmarks, assists with cross-functional projects, and develops familiarity with marketing, technology, SaaS, and business growth while working independently and meeting deadlines.

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.

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 end-to-end India and UAE payroll operations, including payroll processing, statutory compliance, audits, reconciliations, employee support, and service-provider governance. Administer Darwinbox and related payroll integrations, improve automation, resolve system issues, and ensure accurate, timely payments. Partner with HR, Finance, Legal, Total Rewards, and external providers while maintaining compliance with Indian and UAE labor, tax, social security, and SOX requirements.

Own the CRM Tasks product end to end by translating requirements into scalable frontend and backend systems, APIs, and workflows. Prototype, validate, ship, monitor, and improve production features independently while ensuring performance, reliability, and scalability. The role uses Vue.js, Node.js, and Go, with emphasis on full product ownership, rapid iteration, and sound engineering trade-offs.

Six-month remote apprenticeship supporting commercial contract management and legal operations. Responsibilities include reviewing and drafting vendor and go-to-market agreements, analyzing redlines, tracking contract terms and deadlines, conducting legal and compliance research, maintaining Ironclad records, and coordinating with cross-functional teams. The role provides practical exposure to SaaS transactions, contract lifecycle management, risk identification, and legal process improvement.

Designs and evolves highly scalable backend systems, APIs, distributed workflows, databases, messaging infrastructure, and observability solutions. Leads cross-team architecture initiatives, resolves complex production issues, optimizes performance and data access, establishes reliability and engineering standards, modernizes technical debt, mentors engineers, and remains hands-on with critical systems.

Build and deliver full-stack features for agency management, onboarding, and billing systems. Develop scalable APIs, microservices, integrations, data models, queries, and modern frontend workflows. Own features through planning, implementation, testing, deployment, monitoring, and production support. Collaborate with product, design, and engineering teams; troubleshoot issues using observability tools; contribute to code reviews, incident resolution, security, reliability, and AI-assisted development practices.