3 дня назад
Senior Forward Deployed Engineer (AI)
159 600 - 199 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Forward Deployed Engineer (AI): Building and deploying production GenAI, ML, and customer-data systems with customers, including pipelines, models, agents, and activations, with an accent on turning ambiguous business problems and messy data into measurable solutions. Focus on discovering reusable customer patterns, converting field work into product improvements, and shipping systems that remain reliable as the product evolves.
Location: Hybrid, working from the New York, New York office; up to 15% travel to client sites or team meetings.
Salary: $159,600–$199,500 per year.
Company
develops an agentic experience platform that uses AI agents and customer intelligence to improve marketing execution, retention, and measurable growth across web, mobile, and desktop.
What you will do
- Run discovery with customer technical and data teams to identify underlying business problems and define measurable solutions.
- Design and build production GenAI, ML, and customer-data systems, including pipelines, models, agents, and activations.
- Recommend solutions for high-priority use cases, including custom product changes when required.
- Deploy systems that customers can operate independently and that remain reliable as the product evolves.
- Abstract one-off implementations into reusable patterns, code templates, reference implementations, and product proposals.
- Collaborate with Engineering, Staff FDEs, and Principal FDEs to turn customer insights into product improvements.
Requirements
- 5–7+ years of experience in software or data engineering, including customer-facing, embedded, or solutions work.
- Strong experience with Python, SQL, pipelines, and data modeling, or JavaScript, Node.js, and TypeScript.
- Hands-on experience with data platforms, ML/AI systems, customer data, CDPs, or martech.
- Ability to turn ambiguous problems into working systems and explain complex technical decisions to business stakeholders.
- Comfort operating inside customer organizations without formal authority.
- Ability to work from the New York, New York office in a hybrid setup.
Nice to have
- Production experience with applied GenAI or ML, including agents, scoring, recommendations, or classification.
- Experience at a data-platform or applied-AI company.
- Experience turning field work into a library, template, or product change.
Culture & Benefits
- Collaborative, high-performing environment focused on ownership, initiative, and continuous improvement.
- Medical, dental, and vision plans with an Employee Assistance Program.
- Company-paid life insurance, short- and long-term disability coverage, and a 401(k) with a 4% company match.
- Restricted Stock Units and flexible time off.
- Up to 26 weeks of paid parental leave and global reproductive health and family-building support.
- Work is approximately 60% customer-facing and 40% product-building.
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