5 дней назад
Experienced Engineer (AI)
220 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Experienced Engineer (AI): Building intelligent pipeline generation systems that combine business data, AI agents, and automation with an accent on company intelligence, data enrichment, prospect discovery, and customer-facing product experiences. Focus on designing scalable full-stack systems, developing agentic workflows, leading substantial engineering projects, and maintaining high reliability and performance.
Location: On-site in San Francisco, USA; Wednesdays work from home.
Salary: $220K–$300K plus equity.
Company
is building an AI-powered CRM that develops a living model of how businesses operate by learning from emails, meetings, and customer conversations.
What you will do
- Lead engineering projects for intelligent pipeline generation, prospect discovery, and automated customer engagement.
- Build systems that ingest, enrich, and connect company, people, relationship, and behavioral data from diverse sources.
- Develop AI-driven research and agentic workflows for research, list building, personalized outreach, and follow-up.
- Design intuitive customer-facing experiences for complex data and AI capabilities.
- Build reliable, scalable, high-performance systems with strong observability, metrics, and operational practices.
- Lead technical design, mentor engineers, recruit teammates, and establish engineering best practices.
Requirements
- 7+ years of experience building and shipping software products.
- Strong full-stack engineering skills and the ability to ramp quickly on TypeScript, React, Next.js, Node.js, Apollo GraphQL, and PostgreSQL.
- Strong product judgment, analytical thinking, and the ability to turn ambiguous customer problems into effective solutions.
- Hands-on technical leadership experience, including independently scoping, planning, and driving substantial projects.
- High standards for reliability, performance, maintainability, and product quality.
- Computer Science education or equivalent industry experience, plus clear communication with technical and non-technical colleagues.
Nice to have
- Experience building intelligent systems and product experiences with LLMs.
Culture & Benefits
- Meaningful early equity and competitive compensation.
- Medical, dental, and vision insurance.
- Three weeks of paid time off, 11 paid company holidays, and a winter holiday break.
- Three months of paid family leave and a 401(k) plan.
- Regular team dinners, events, offsites, and retreats.
- Commuter and lunch stipends.
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