
201 - 500 employees
Founded 2018
💼 Consulting
📦 Logistics
☁️ SaaS
💰 Series A on 2021-11
Consulting • Logistics • SaaS
HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.
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201 - 500 employees
Founded 2018
💼 Consulting
📦 Logistics
☁️ SaaS
💰 Series A on 2021-11
Consulting • Logistics • SaaS
HighLevel is an all-in-one marketing and sales platform designed to help businesses grow and succeed. The platform consolidates various marketing tools into a single solution, providing features such as lead capture through landing pages, surveys, forms, and calendars, as well as tools for nurturing leads via automated messaging across multiple channels including phone, SMS, email, and social media. HighLevel offers customizable solutions like online appointment scheduling, multi-channel follow-up campaigns, and pipeline management. Additionally, businesses can build websites, funnels, and landing pages using the intuitive page builder. HighLevel supports integrating with existing systems via API, and offers a membership platform for community building and course management. The platform is targeted towards marketers and offers white-labeling options for businesses to brand the software as their own. With a community-driven development approach and award-winning support, HighLevel is focused on empowering businesses to streamline their operations and enhance their marketing efficiencies.
• Own instrumentation coverage for the AI pillar by defining required events and properties and driving implementation with product managers and engineering • Define feature-level KPIs and success metrics for Voice AI, Conversation AI, AI Employee, and Ask AI • Partner with the Experimentation & Causal Inference lead to design and interpret AI experiments, including approaches for non-deterministic systems • Distinguish real signal from instrumentation gaps, novelty effects, and data maturity • Set measurement direction, canonical metrics, instrumentation standards, and contracts for the AI analytics domain • Mentor analysts as the team grows • Translate findings into recommendations for AI product managers and influence the roadmap • Flag data gaps to Analytics Engineering and help shape event taxonomy • Use AI tooling such as Claude for exploration, documentation, and analysis • Establish measurable instrumentation coverage, trusted feature-level KPIs, segmented adoption and quality analysis, rigorous experiment reads, and an analytics foundation for future analysts
• 7+ years in product analytics, data science, or applied statistics, with hands-on ownership of a product area's metrics end to end • Strong instrumentation instinct; experience defining event tracking/taxonomy and driving it into a product roadmap • Ability to define success metrics for a product from a standing start and gain stakeholder adoption • Fluency partnering on experiments, including A/B design, guardrails, and honest interpretation of results • Strong SQL and working proficiency in Python • Comfort in a Snowflake and dbt environment • Comfort working amid imperfect, in-progress data and consuming governed sources • Cross-functional influence in a fast-moving environment • Experience measuring AI/ML or LLM-based product features, including non-deterministic systems • B2B SaaS, CRM, or product-led growth background • Experience with conversational, voice, or agent/assistant products • Familiarity with Statsig or a comparable experimentation platform • Exposure to AI-assisted analytics workflows
• Global, remote-first organization • Opportunity to work on AI products including Voice AI, Conversation AI, AI Employee, and Ask AI • Mentorship and development opportunity through developing analysts as the team scales
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