HighLevel

Data Scientist

• Own the causal read on core revenue retention and add-on monetization across CPaaS, AI add-ons, and other revenue surfaces
• Quantify add-on revenue opportunity and the drivers behind attach and consumption
• Apply causal inference methods including matching, difference-in-differences, survival/hazard analysis, and synthetic control
• Partner with Finance and RevOps on source-of-truth definitions and forecasting inputs
• Partner with Product Strategy & Growth on the TTP/churn charter and with Experimentation leadership to test retention interventions
• Advise Customer Success, Finance, and Communications/CPaaS leaders
• Set analytical standards for Data Science and adjacent analyst teams
• Set the technical direction for company-wide revenue-retention measurement and own canonical GRR, NRR, churn, and add-on metrics
• Shape the retention analytics taxonomy with Analytics Engineering
• Build reusable retention and causal-inference frameworks
• Use AI tooling such as Claude for exploration, documentation, and analysis
• Report centrally to Product Analytics & Data Science while carrying the revenue-retention outcome across organizational boundaries

Staff Data Scientist – Core Revenue Retention

• Own the customer-growth outcome end to end across onboarding, activation, trial-to-paid, multi-product adoption, and expansion revenue
• Identify early and mid-lifecycle behaviors that predict expansion and turn findings into a prioritized growth agenda
• Connect product signals to GTM/marketing spend and Finance growth targets
• Model the B2B2C dynamic of agency-to-sub-account activation and expansion
• Partner on the design and rigorous interpretation of growth experiments
• Establish shared definitions and models for trial-to-paid, churn, and add-ons
• Set technical direction for company-wide customer-growth measurement, canonical metrics, segment definitions, and value models
• Build reusable growth-measurement and causal-inference methods
• Translate findings into decision-grade guidance for Growth, GTM, Finance, and product leaders
• Act as a trusted analytical advisor and set standards adopted by adjacent data science and analytics teams
• Flag data gaps and shape the event taxonomy supporting the funnel and value model
• Use AI tooling such as Claude for exploration, documentation, and analysis
• Report centrally to Product Analytics & Data Science for craft and standards
• Help establish a foundation to scale the customer-growth mandate beyond one individual contributor

Staff Data Scientist – Growth & Expansion

Product Marketing

• Own product strategy, roadmap, and execution across Forms, Surveys, Quizzes, QR Codes, Chat Widget, External Tracking, and adjacent lead capture and attribution capabilities
• Drive cohesive experiences across builders, templates, publishing, data models, integrations, analytics, and reporting
• Ship capabilities that improve visitor engagement, completion rates, lead quality, qualification, routing, and follow-up
• Partner with CRM, Workflows, Conversations, Analytics, and Payments teams to connect interactions with downstream business outcomes
• Define visitor behavior, conversion, identity, attribution, and campaign tracking across third-party websites
• Strengthen event taxonomies, instrumentation standards, and reporting
• Deliver AI-powered creation, copy generation, logic recommendations, qualification, insights, and conversion optimization
• Ensure responsive, accessible, and performant desktop, mobile, and tablet experiences
• Partner with Engineering on builders, embeddable widgets, APIs, submission pipelines, tracking scripts, identity resolution, and event infrastructure
• Align Product, Engineering, Design, Data, AI, Security, Marketing, Sales, Customer Success, and Partnerships around shared outcomes
• Support product positioning, pricing, packaging, messaging, launches, enablement, onboarding, and customer education
• Write PRDs and strategy documents, conduct discovery, analyze data, validate concepts, prioritize initiatives, and resolve ambiguity
• Drive measurable improvements in adoption, activation, publishing, engagement, completion, conversion, attribution coverage, and retention

Senior Product Manager – Marketing OS, LeadGen

Digital Marketing

• Own execution plans and optimization of integrated multi-channel marketing campaigns
• Partner with marketing leadership to plan and implement campaign strategies
• Define campaign objectives, audience targeting, messaging, and execution timelines
• Monitor campaign KPIs including ROAS, CAC, CPA, CTR, conversion rates, and engagement
• Analyze campaign results and identify performance improvement opportunities
• Develop reporting and performance dashboards with Data and Analytics teams
• Present campaign insights and recommendations to marketing leadership
• Improve marketing workflows, campaign efficiency, and reporting processes
• Coordinate cross-functional activities and communicate campaign status, dependencies, and results
• Execute SEO initiatives including keyword research, on-page optimization, technical SEO, and performance monitoring
• Support lifecycle marketing initiatives for customer engagement, onboarding, adoption, and retention
• Stay current on marketing trends, technologies, and AI capabilities; share learnings and best practices

Digital Marketing Manager

Full-stack Engineer

• Own the full lifecycle of the Opportunities backend, translating business and customer needs into scalable, production-grade services
• Design and evolve data models for pipelines, stages, deals, and associated entities
• Build and scale APIs, event-driven workflows, and background jobs for high-volume writes, automations, and integrations
• Address idempotency, eventual consistency, race conditions, hot tenants, and noisy-neighbor isolation
• Improve performance and reliability of large pipelines through indexing, sharding, caching, and query optimization
• Build AI-assisted Opportunities features using existing AI capabilities, including CRM context assembly, prompt and response contracts, caching, cost and latency budgets, graceful degradation, and output-quality measurement
• Ship end-to-end UI changes in Vue when needed
• Instrument systems with logs, metrics, traces, and SLOs
• Drive incident response, postmortems, and engineering hygiene
• Ship Opportunities features from idea to production
• Build reliable services as workspaces scale from thousands to millions of deals
• Make trade-offs between speed, quality, and maintainability
• Raise standards for data correctness, API design, and operational excellence
• Improve customer experience through iteration and instrumentation

Software Development Engineer III, CRM – Opportunities – AI

• Design, build, and scale backend systems and frontend interfaces powering the Threads & Composer experience in HighLevel Conversations
• Build and ship Node.js/Go services handling live production traffic
• Own services and components end to end, including code, tests, rollout, and monitoring
• Work with SQL and NoSQL data stores by writing queries and adding indexes
• Implement and operate queues, caches, and rate limiters
• Build Vue 3 UIs consuming owned APIs, with clean components, state management, and realtime updates
• Write feature design documents and defend technical trade-offs in reviews
• Participate in the on-call rotation and debug production incidents
• Collaborate on systems processing billions of messages per month across SMS, Email, WhatsApp, and DMs

Software Development Engineer II – Conversations

• Own frontend features across Opportunities in Vue.js, including pipeline boards, deal details, stage and pipeline configuration, filters, saved views, bulk actions, and reporting surfaces
• Build instant-feeling interactions such as drag-and-drop stage moves, inline edits, optimistic updates, rollback, and error states
• Optimize large pipelines using virtualization, windowing, pagination, lazy loading, rendering optimization, bundle-size reduction, and improved time to first meaningful paint
• Design and maintain client-side state and data-fetching patterns using Pinia/Vuex, caching, and invalidation
• Handle live updates, stale-data detection, and conflict resolution
• Render dynamic customer-defined schemas, custom fields, custom objects, and workspace configurations
• Build reusable components and contribute to the shared design system
• Collaborate directly from designs with product and design teams
• Extend NestJS APIs, reduce over-fetching, and adjust payloads
• Write component, unit, and end-to-end tests
• Instrument the frontend with error tracking, real-user performance monitoring, and event data
• Ensure accessibility, keyboard support, responsive layouts, and cross-browser behavior
• Participate in on-call, debug production issues, and contribute to postmortems
• Write design documents and participate in design and code reviews

Software Development Engineer II – Frontend

Product Manager

• Set the vision and multi-quarter roadmap across Business Operations, Fulfillment, and Finance
• Manage, mentor, hire, and develop Product Managers across the verticals
• Own the end-to-end catalog-to-cash commerce lifecycle
• Ensure shared platform contracts, analytics, layouts, and reporting are designed for reuse
• Guide the PIM, pricing, taxes, channel configuration, loyalty, and analytics roadmap
• Steer fulfillment, inventory, warehousing, time-clocking, and metering initiatives
• Own payments, checkout, invoicing, and ledger/accounting roadmap
• Ensure secure money movement and balanced books across providers and systems such as QuickBooks and Xero
• Drive growth in GMV, transaction success, merchant adoption, and reliability
• Partner with engineering, design, finance, operations, and leadership on strategy and trade-offs
• Represent Commerce in company-level planning
• Balance near-term delivery with long-term platform investments
• Establish product operating rituals, specifications, and quality standards for discovery, prioritization, launch, and review

Group Product Manager – Commerce

Engineering Manager

• Lead the team building HighLevel's Payments Platform
• Own execution, reliability, and evolution of checkout, subscriptions, payment orchestration, invoicing, ledger, and financial reconciliation capabilities
• Build, mentor, and scale a high-performing backend engineering team
• Drive hiring, onboarding, performance management, career development, and succession planning
• Own Payments Platform roadmap execution and predictable delivery across concurrent initiatives
• Balance business priorities with platform investments, technical debt reduction, and reliability improvements
• Coordinate cross-team dependencies and identify risks, blockers, and execution gaps
• Lead sprint planning, roadmap planning, estimation, prioritization, and delivery reviews
• Partner with Product, Finance, Compliance, Customer Success, Marketing, Infrastructure, and Security teams
• Communicate tradeoffs, delivery timelines, risks, and technical decisions to executive stakeholders
• Lead highly available, planet-scale payment infrastructure and reliability practices
• Drive SLO ownership, error budgets, incident management, disaster recovery, capacity planning, and operational readiness reviews
• Partner with Staff and Principal Engineers on architecture and technical direction
• Guide decisions involving Domain-Driven Design, API governance, event-driven systems, service boundaries, and data consistency models
• Establish standards for API design, code quality, testing, CI/CD, documentation, and operational readiness
• Promote design reviews, RFCs, ADRs, postmortems, continuous improvement, automated testing, observability, and deployment tooling

Senior Engineering Manager – Commerce

Product Analyst

• Own measurement of HighLevel’s AI product portfolio
• Run recurring business reviews from analysis through presentation to product leadership
• Define and document activation, adoption, north star, and penetration metrics
• Build and maintain Superset datasets, charts, and dashboards
• Audit reporting for hardcoded filters, stale queries, and drifted definitions
• Write SQL against ClickHouse and Snowflake, including semi-structured JSON columns
• Report product performance against the annual operating plan and re-forecasts
• Explain performance variances based on product developments
• Analyze retention, cohort behavior, and adoption funnels at the sub-account level
• Build AI usage unit economics, including model costs, cost-to-revenue ratio, and margin
• Report AI product quality, evaluation results, containment, escalation rates, and sampling design
• Reconcile conflicting figures across data sources
• Specify instrumentation with product managers before feature launches
• Analyze in-product behavior in Pendo
• Size roadmap opportunities and experiments
• Work directly with the VP of Product and AI product managers

Senior Product Analyst – AI Products

• Own the roadmap and execution for the payment orchestration platform, including the orchestrator, transaction lifecycle, receipts, and webhook ingress
• Improve authorization rates and cost efficiency through routing, provider selection, retries, and failover across PSPs and gateways
• Lead authorizations, captures, refunds, voids, and disputes while ensuring correctness, idempotency, and state integrity
• Build reliable inbound webhook processing that normalizes, deduplicates, and distributes provider events to downstream services
• Own accurate receipts and transaction records
• Partner with engineering to design documented payment APIs and events
• Drive instrumentation, alerting, reconciliation, uptime, latency, and error-rate improvements
• Ensure PCI, risk, data integrity, security, scalability, and compliance
• Collaborate with engineering, design, data, risk, support, and partner-facing teams
• Use payments data to prioritize the roadmap and measure impact
• Deliver measurable improvements in transaction success, platform reliability, provider coverage, and builder experience