обновлено 12 часов назад
Applied AI Architect, GTM (AI)
123 000 - 184 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Architect, GTM (AI): Building AI agents, intelligence layers, automations, and decision-support tools that improve revenue workflows across the GTM lifecycle with an accent on retrieval logic, output calibration, field adoption, and measurable commercial impact. Focus on translating enterprise sales judgment into scalable AI systems, diagnosing output failures, and continuously refining solutions in live customer and prospect workflows.
Location: New York City, United States; hybrid
Salary: $123,000–$184,000 per year at the start of employment for US-based candidates; expected OTE of $145,000–$217,000 per year, including bonus or commission.
Company
is a customer engagement SaaS platform that helps brands deliver personalized experiences through cross-channel messaging, journey orchestration, and AI-powered decisioning.
What you will do
- Research GTM workflows from pre-sales through post-sales and prioritize intelligence gaps, workflow friction, and handoff failures.
- Build and refine AI agents, automations, intelligence layers, and decision-support tools on shared infrastructure.
- Participate in pipeline reviews, deal cycles, QBRs, renewal planning, and account strategy sessions to keep systems grounded in field needs.
- Monitor adoption and output quality, diagnose system-level failures, and continuously tune the solutions you operate.
- Structure deal and customer signals in the knowledge hub and scale successful solutions across accounts, segments, and deal stages.
- Partner with Growth Engineering, PMM, Solutions Consulting, Pricing, Customer Success, and leadership to drive adoption.
Requirements
- 6+ years of professional experience in a GTM role within a B2B SaaS company, such as Solutions Consulting, Solutions Architecture, Account Executive, sales leadership, or GTM strategy.
- Hands-on experience building AI-powered tools, agents, automations, or workflows that changed real work processes.
- Technical fluency in integration architecture, prompt design, retrieval logic, data workflows, Python, APIs, and integrations.
- Strong understanding of enterprise sales workflows, deal stages, and the operating realities of AEs, SCs, BDRs, sales leadership, CS, and business value teams.
- Experience taking solutions from problem identification through field adoption and evaluating outputs using data.
- Autonomous senior individual-contributor experience, with product management background or equivalent product-building experience.
Nice to have
- Experience in Solutions Consulting, Solutions Engineering, or field architecture within enterprise SaaS.
- Experience with Claude, Claude Code, Cursor, custom agent frameworks, workflow automation tools, Salesforce, Gong, Slack, or Snowflake.
- Experience scaling internal tools beyond the immediate team.
Culture & Benefits
- Hybrid ways of working with a curated in-office experience.
- Equity through restricted stock units, retirement and employee stock purchase plans.
- Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
- Fertility benefits, equal paid parental leave, professional development, career pathing, learning platforms, and a yearly learning stipend.
- Employee Resource Groups, volunteer opportunities, donation matching, and a collaborative workplace culture.
Hiring process
- Applications may be reviewed with AI-assisted tools for screening and prioritization.
- AI may support interview scheduling, recording, and note summarization, while recruiting teams remain responsible for hiring decisions.
- New York City candidates may request an alternative selection process or reasonable accommodation instead of AI-assisted review.
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