Job Details

Build Agents. Ship Intelligence. Define the Category.The MissionSearch Atlas hit $32M ARR bootstrapped . No VC. No safety net. Just product that works.Now we're building agentic marketing - AI systems that don't report data, they execute strategies autonomously . Millions of pages crawled. Decisions made in milliseconds. Fortune 500s trusting our agents with their growth.We need a Technical PM who prototypes faster than most teams ship. You don't write tickets about AI. You build agents in Cursor, validate with SQL, and deploy to production.What Winning Looks LikeWeek 2: You've shipped a prototype agent in Claude Code that fixes technical SEO issues autonomously. It works. It's rough. It's real.Month 3: Your agent is in production serving enterprise customers. You've defined the evaluation framework, the latency budget, the failure modes. Engineers trust your specs because you've validated the approach yourself.Month 6: You're architecting the next generation of autonomous marketing systems. Other PMs study your playbooks.Your PlaygroundYou'll own one core agentic system end-to-end:OTTO - Our autonomous SEO agent. Crawls sites. Diagnoses issues. Executes fixes. No humans in the loop.Content Intelligence - Semantic engines that generate, optimize, and publish content autonomously.Brand Knowledge Graphs - AI systems that build, maintain, and leverage entity relationships at scale.The WorkArchitect Agent BehaviorDesign reasoning chains, tool use patterns, and reflection mechanisms. Your agents don't just respond - they think, act, verify.Write specs that include prompt architectures, evaluation datasets, and edge case handling. Engineers review your PRDs for technical depth.Build working prototypes in Cursor, Claude Code, or raw Python to prove viability before engineering investment.Master the Data LayerQuery terabyte-scale datasets in ClickHouse and PostgreSQL. Window functions, complex joins, query optimization - you don't delegate this.Use Python (pandas, SQL Alchemy) to analyze agent performance, identify failure patterns, and propose improvements.Design evaluation pipelines: hallucination detection, citation verification, confidence scoring, human-in-the-loop triggers.Figma prototypes that handle millions of data points without overwhelming users. Maximum insight per pixel.Real-time streaming updates. Interactive agent explanations. Interfaces that make complexity feel inevitable.Work shoulder-to-shoulder with engineers on React/TypeScript implementations. You don't hand off designs; you co-build.Drive 10x VelocityLead standups that unblock, not update. Sprint planning that commits aggressively and delivers completely.QA in staging with engineering rigor. Test edge cases. Validate reasoning chains. No "throw it over the wall."Maintain 48-hour prototype-to-feedback cycles. Ship weekly, learn daily.YouYou've shipped AI products that users trust - not demos, production systems.5+ years in technical product management. 2+ years building AI/ML systems in production environments.SQL fluency at scale. You write complex queries, optimize performance, debug data pipelines personally.Python proficiency for analysis, scripting, and prototyping. You read code, write scripts, and validate technical approaches without engineering handholding.AI/ML depth - you understand ReAct, tool use, reflection, chain-of-thought. You've implemented these patterns, not just read about them.Prototyping velocity - Cursor, Claude Code, Jupyter, Streamlit. You build to learn in hours, not weeks.Design craft - Figma at high fidelity. You care about interaction details, information density, flow states.Engineering fluency - Git workflows, API design, basic React/TypeScript. You review PRs, not just PRDs.Bonus: Built autonomous agents (not chatbots). SEO/MarTech domain expertise. Frontend or data engineering background. Vector DB/RAG at scale.The StackAgents: Custom architectures, LLM tool use, reasoning chains, evaluation frameworksData: PostgreSQL, ClickHouse, Elasticsearch, terabytes of real-time search dataDesign: Figma, Figma Make, LovableThe DealCompensationBase: $180K–$250KBenefits: Fully covered medical (Aetna), 99% dental/vision, unlimited PTO, paid parental leave, $100/quarter dev budget, company-paid Lasik (2-year vest), pet insurance (Lemonade, 2 pets), 401(k) via DeelThe OpportunityHybrid in San Francisco. Energy, serendipity, rapid iteration - this doesn't happen fully remote.We ship weekly. We prototype daily. We measure everything.No PMs who don't vibe code. No features without evaluation frameworks. No roadmap maintenance - only category creation.The CompanySearch Atlas powers autonomous marketing for Fortune 500s and high-growth startups:OTTO SEO - Fully autonomous technical optimizationContent Genius - Semantic AI content generation and publishingSite Explorer - Real-time search intelligence and monitoringBrandVault - AI-driven knowledge graphsGBP Galactic - Local SEO automationSmart Ads - Autonomous PPC managementLLM Visibility - AI search analytics and optimizationInc. 5000. Nevada's #1 Small Business Workplace. Great Place to Work Certified.Bootstrapped. Profitable. Growing fast. Building the future from San Francisco.No cover letters. No generic applications. Just evidence of craft.$32M ARR. Bootstrapped. Category-defining. San Francisco.Search Atlas is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.#J-18808-Ljbffr