Jobs at HighLevel

Own strategy, execution, and growth of HighLevel's RCS and rich messaging product line: roadmap, sender onboarding/verification, carrier/aggregator partnerships, market expansion, fallback orchestration, analytics, pricing, and go-to-market. Collaborate cross-functionally to reduce friction, ensure compliance, drive adoption, and optimize monetization while using data and customer insights to iterate and scale.

Lead Product Designer responsible for shaping product direction, elevating design quality, and mentoring designers across product pillars. Translate customer needs, business goals and technical constraints into polished, accessible experiences; own discovery through delivery, set design standards, run critiques and measure design impact.

12-month full-time SDET apprenticeship focused on test automation, API and integration work, and production-quality features. Apprentices build and ship code (often in Go), write design docs, work with distributed systems concepts, debug containerized workloads, and participate in on-call and CI/CD processes with mentorship and potential full-time conversion.

As a Senior Software Engineer, you will enhance the HighLevel platform by developing backend services, optimizing performance, ensuring security, and collaborating across teams to resolve technical challenges.

Manage affiliate and endorsement payout operations: validate commission calculations, process weekly payouts, maintain payment and tax records (including 1099s), handle high-volume affiliate inquiries, reconcile endorsement invoices with accounting and marketing, and identify process improvements.

The Software Development Engineer III will enhance stability and scalability of a phone platform, optimize performance and resources, and lead modernization and security efforts.

Lead strategy and execution for HighLevels Agency Revenue Suite to drive onboarding, activation, adoption, retention, and revenue. Define measurement, experimentation, and health models with Data Science and Analytics. Own roadmap, stakeholder alignment, and mentor PMs while delivering measurable growth across SaaS Mode, Reselling, and Rebilling.

Lead QA for AI products: define QA strategy, architect large-scale reusable automation frameworks, design tests for RAG, hallucination, drift, and bias, influence cross-functional teams, coach and upskill engineers, and own the AI verticals quality roadmap to improve scalability and reliability.

Support onboarding and learning operations, manage the Sana LMS, create simple AI-enabled learning content, run learning sessions, maintain SOPs and trackers, produce basic engagement reports, and coordinate with stakeholders to improve programs.

Support end-to-end technical recruitment: source candidates, screen resumes, conduct initial recruiter calls, coordinate interviews, maintain ATS records, build talent pipelines, support employer branding and campus hiring, and prepare recruitment reports and metrics.

Six-month People Operations apprenticeship supporting employee experience, compliance, HR systems, benefits administration, onboarding/offboarding, data management, reporting, process documentation, and day-to-day operational support. Work with People Operations and cross-functional teams to improve helpdesk resources, maintain records, prepare reports, and support HR projects.

12-month full-time apprenticeship supporting Talent Acquisition: sourcing, initial screening, candidate outreach, interview coordination, ATS maintenance, recruitment reporting, and partnering with hiring managers while receiving mentorship and structured training.

Support organizational design, culture, engagement, leadership development, and employee effectiveness projects. Gather and analyze qualitative and quantitative data, assist with assessments, research benchmarking, use AI tools, create communication assets, and coordinate cross-functional initiatives over a six-month apprenticeship.

Investigate, reproduce, and resolve complex L4 support escalations. Troubleshoot customer-reported technical issues, perform root cause analysis, document findings, create and maintain support content, analyze ticket trends, provide insights to Product and Engineering, train support teams, engage directly with customers, and identify automation opportunities to improve support efficiency and SLAs.

Lead product strategy and architecture for Conversation AI, owning agent creation, deployment, evaluation, observability, integrations, pricing, and compliance. Partner with Engineering, AI, Design, GTM and operations to deliver dependable AI agents at scale, mentor PMs, and define metrics, testing, and release standards to ensure reliable business outcomes across millions of interactions.

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.

Lead product strategy and platform architecture for HighLevel Voice AI. Define lifecycle, evaluation, quality standards, integrations (telephony, CRM, workflows), metrics, reliability, and commercial models. Partner cross-functionally with engineering, design, legal, GTM, and operations to ship dependable, scalable voice agents that handle inbound/outbound calls, transfers, actions, and observability across SMB and agency customers.

Design, build, and maintain API and middleware integrations and automation for user lifecycle, IAM, RBAC, provisioning, access reviews, and ITSM workflows. Ensure secure authentication, perform data validation/reconciliation, document integration architecture, and support ITGC/audit and access governance.

Lead product strategy for HighLevel Knowledge Bases and Ask AI, defining architecture, ingestion, retrieval, evaluation, permissions, observability, and commercial models. Drive cross-team platform standards, onboarding, testing datasets, and integrations so AI assistants reliably retrieve context, invoke tools/agents, execute actions, and surface auditable, safe results for multi-tenant SMB customers.

The role involves developing full-stack web apps, creating APIs, improving lead capture models, and collaborating across teams to enhance the Social Planner product.