
501 - 1000 employees
Founded 2008
📣 Marketing
🏥 Healthcare
💼 Consulting
💰 $325M Post-IPO Equity on 2021-06
Marketing • Healthcare • Consulting
Weedmaps is an online platform that connects cannabis consumers with dispensaries, deliveries, and brands. Since 2008, Weedmaps has provided information on cannabis strains, products, and retailers. It serves a wide range of regions across the United States, including major cities like Los Angeles, San Francisco, Denver, and New York City. The platform also offers educational resources and news about cannabis, catering to a community of consumers, patients, doctors, and retailers. Through its website and app, Weedmaps enables users to find and order cannabis-related products while supporting businesses in the cannabis industry.
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501 - 1000 employees
Founded 2008
📣 Marketing
🏥 Healthcare
💼 Consulting
💰 $325M Post-IPO Equity on 2021-06
Marketing • Healthcare • Consulting
Weedmaps is an online platform that connects cannabis consumers with dispensaries, deliveries, and brands. Since 2008, Weedmaps has provided information on cannabis strains, products, and retailers. It serves a wide range of regions across the United States, including major cities like Los Angeles, San Francisco, Denver, and New York City. The platform also offers educational resources and news about cannabis, catering to a community of consumers, patients, doctors, and retailers. Through its website and app, Weedmaps enables users to find and order cannabis-related products while supporting businesses in the cannabis industry.
• Design, build and operate production AI agents, including an autonomous coding agent working from Jira and Slack • Build the retrieval and context layer using embeddings, semantic search, knowledge-graph modeling, Snowflake semantic layer and internal documentation • Extend the internal MCP server with reusable skills, tools and processes • Help product teams integrate agents into their workflows • Build offline test sets and online metrics to evaluate prompts, models and retrieval changes, and gate releases • Reduce model cost and latency using routing, caching and structured outputs; track spend on AWS Bedrock • Secure agents against prompt injection, memory poisoning and over-broad permissions • Instrument agents with tracing and logging, diagnose failures, and participate in on-call • Evaluate and adopt effective models and tools • Write design documents, review code and mentor engineers on building with LLMs
• Bachelor's degree or equivalent practical experience • Minimum of 6 years of professional software development experience, including owning production services end to end • At least 1 year of hands-on experience shipping LLM-powered features or agents to production • Experience with tool/function calling, prompt design, structured outputs, and handling model failures gracefully • Experience building retrieval systems, including embeddings, vector or hybrid search, chunking and ranking, and measuring retrieval quality • Strong proficiency in at least one of Python, TypeScript or Ruby, and comfort working across a polyglot codebase • Experience with a major cloud platform, AWS preferred, CI/CD, and observability tooling • Track record of measuring what you build through evals, A/B tests or clear before/after metrics
• Medical, dental and vision coverage • 100% employer-paid premium for employees • Up to 80% coverage for dependents • Company HSA contribution with the High Deductible Health Plan • 401(k) retirement plan with employer match up to 3.5% of employee contribution • Basic Life, Voluntary Life and AD&D Insurance options • Student Loan Repayment/529 Education Savings with a monthly company contribution • FSA (Medical, Dependent, Transit and Parking) • Critical Illness Insurance • Accident Insurance • Short- and Long-term Disability Insurance • Pet Insurance • Identity theft protection • Legal access to a network of attorneys • PTO, paid sick leave, and company holidays, including a 2026 holiday shutdown • Paid parental leave • Competitive bonus
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