Senior GTM AI Engineer

Responsibilities

• Design, build, and deploy conversational AI experiences, intelligent assistants, and context-aware agents for GTM workflows.
• Implement AI agents and automated workflows for approvals, data maintenance, reporting, and process investigations.
• Develop decision-intelligence capabilities to flag deal risks, identify expansion opportunities, and surface operational bottlenecks.
• Own the GTM AI strategy and technical roadmap.
• Build unified knowledge architectures, governed semantic layers, and metric lineage across GTM systems and data environments.
• Establish AI governance and value-realization practices covering sensitive-data guardrails, security, privacy, responsible AI, model and agent performance, and business outcomes.
• Lead AI adoption and operating-model change through champion programs, training, communications, adoption monitoring, feedback collection, and tool/vendor rationalization.
• Partner with Sales, Marketing, Revenue Operations, Product, and Systems leadership to translate operational needs into scalable technical solutions and measure business impact.

Requirements

• At least 5 years of experience in GTM analytics, revenue operations, business systems, or data products.
• At least 2 years of hands-on experience building and shipping production AI agents, conversational tools, or workflow automations.
• Experience developing LLM-powered applications using OpenAI/ChatGPT, Anthropic Claude, or comparable enterprise models.
• Experience with prompt design, context management, structured outputs, and model selection.
• Experience designing and shipping AI agents with tool and function calling, agent orchestration, multi-step workflows, memory, and human-in-the-loop controls.
• Experience evaluating and operating production AI systems for accuracy, groundedness, hallucinations, safety, latency, cost, and adoption.
• Working proficiency in Python, SQL, JavaScript, or TypeScript.
• Ability to translate B2B SaaS commercial processes and operational rules into structured logic and intuitive user experiences.
• Authorization to work in the United States; visa sponsorship is not available.

Compensation and Benefits

• Base salary range: $154,000–$213,000 USD annually.
• Eligible for equity.
• Medical, dental, and vision coverage; flexible spending accounts; mental-health support; paid parental leave; life and disability insurance.
• 401(k) with company matching of up to 4% of eligible annual compensation.
• Paid vacation, federal holidays, sick leave, and additional company-wide days off.
• Learning and development allocation and professional membership dues.
• Hybrid work with work-from-home flexibility.
• Home internet reimbursement and desk-setup stipend.
• Catered lunches, snacks, and company events.