Lead Automations Analyst

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧐 Analyst

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HighLevel

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Translate Customer Success problems into AI solution designs • Build orchestrators and sub-agents inside ORA, HighLevel’s internal AI platform • Author and maintain skills, prompts and knowledge-base entries • Design and instrument feedback loops using thumbs up/down, logs and evaluation signals • Deploy AI solutions into production, monitor quality drift and iterate using advisor and customer feedback • Design pre-call briefs, in-call guidance, post-call grading and summaries, transcription-driven follow-ups, and internal knowledge tools • Identify ORA platform capability gaps and request features from RevOps with requirements, acceptance criteria, edge cases and customer impact • Participate in design reviews, provide technical input and validate builds • Integrate new capabilities and report outcomes • Ingest Quality Analyst II evaluation signals and prioritize fixes and new builds • Communicate shipped work to Success leadership and Enablement • Define and document AI solution design, testing and deployment patterns • Build onboarding playbooks and set standards for solution quality, test coverage and observability • Stay current on LLM behavior, orchestration patterns, model releases and AI tooling • Run experiments and share findings with Success, Quality Analyst II and RevOps engineering

🎯 Requirements

• Insatiable curiosity and a self-learning mindset — this is non-negotiable • 7+ years in AI/ML solution work, technical product, prompt engineering, applied AI, automation engineering or a closely related role with end-to-end delivery ownership • Working fluency with LLM behavior, including prompt design, orchestration patterns, model selection trade-offs, common failure modes and evaluation design • Strong understanding of databases and data flows between systems • Ability to read code fluently enough to understand what runs inside ORA, debug integrations and hold substantive technical conversations with RevOps engineers; production coding is not required • Ability to scope problems, design solutions, write clear requirements and acceptance criteria, and ship end-to-end • Strong written and verbal communication • End-to-end ownership mindset and accountability for outcomes • Bachelor’s degree in a related field, or equivalent practical experience • Hands-on experience with AI development platforms such as Claude, Cursor or similar tools • Experience designing orchestration patterns, sub-agent workflows or multi-step AI solutions • Familiarity with retrieval-augmented generation (RAG), vector databases or knowledge-base architecture • Familiarity with SQL or similar database querying • Experience with APIs, webhooks or data integration between systems • Background in customer success, support, sales enablement or call center environments • Experience with HighLevel or comparable SaaS products • Prior experience shipping AI workflows into production • Prior experience writing technical requirements for engineering teams