Senior Staff Applied AI Engineer, GTM

This is a fully remote position, open to applicants in California.

📋 Description

• Support the GTM AI strategy from initial discovery to final delivery alongside GTM leaders, RevOps, and product owners.

• Outline the revenue lifecycle and create the GTM AI roadmap.

• Provide insights on feasibility, costs, risks, and decisions regarding Build/Partner/Buy options.

• Develop and implement secure, production-quality AI solutions for revenue teams.

• Design and deliver use cases utilizing retrieval-augmented generation, structured-data querying, and agentic workflows.

• Create monitoring and evaluation frameworks for AI implementations.

• Enforce security measures for customer and commercial data.

• Establish ROI in relation to GTM KPIs.

• Foster adoption and transformation by deploying solutions, training users, and creating feedback mechanisms.

• Enhance reusable components such as retrieval pipelines, reference architectures, GTM data connectors, and engineering playbooks.

• Provide mentorship to fellow engineers.

• Refine technical implementations, standards, and engineering playbooks for the Applied AI team.

⛳️ Requirements

• A minimum of 5 years of professional software engineering experience, including over 3 years focused on AI and/or ML projects.

• Direct experience in driving both AI strategy and execution for GTM functions, including delivering solutions that have a measurable effect on GTM metrics and a strong understanding of the revenue lifecycle.

• Practical experience with retrieval methodologies, reusable skill development, agentic orchestration, Model Context Protocol (MCP), and agent-to-agent (A2A) frameworks.

• Experience collaborating directly with GTM leaders on complex issues, conducting discovery sessions, formulating concrete plans, and communicating trade-offs, risks, and architecture to both technical and non-technical stakeholders.

• Knowledge of securing AI systems and accessed data, ensuring least-privilege access, and protecting against prompt injection, data leakage, and unsafe or non-compliant outputs.

• Strong engineering capabilities, including deploying and managing AI solutions at scale.

• Proficient in Python.

• Experience with integration across GTM systems of record.

• Familiarity with releasing and monitoring AI systems on a major cloud platform.

• Proven capacity to utilize AI technologies and workflows to enhance operational efficiency (preferred).

• GTM experience in a B2B enterprise SaaS or cybersecurity setting; prior experience in RevOps, Sales Engineering, or GTM Strategy is highly advantageous (preferred).

• Experience with graph-based knowledge systems and long-term agent memory, including account and relationship graphs, GraphRAG, or persistent context throughout an account's history (preferred).

• Experience in building automated evaluation frameworks such as LLM-as-judge or regression testing for AI quality, preferably including A/B or holdout experiments (preferred).

🏝️ Benefits

• A variety of health plans.

• Time-off plans for vacations and sick leave.

• Options for parental leave.

• Retirement plan options.

• Education reimbursement opportunities.

• In-office perks.

• Inclusive benefits for employees and their families.

• Reasonable accommodations or adjustments in the recruitment process.