AI Solutions Engineer (GTM)

Quick Facts

• Role: AI Solutions Engineer (GTM)

• Focus: Applied AI for Sales (SDR outbound, AE pipeline/opportunities) and Customer Success (CSM account management/renewals) using GTM/account/opportunity intelligence

Description

You will build and continuously improve AI-native agents and automations that convert raw go-to-market signals into actions sellers can take, including SDR sequences, AE next-best-action and deal-risk guidance, and CSM account-health and renewal-risk surfacing. The role requires human review and approval before anything is sent to prospects or customers, plus rigorous evaluation and monitoring to prove agent quality and impact. You will operate as product owner for in-house systems and act as the primary AI capability advisor for the revenue organization.

Responsibilities

• Own the AI-native signal-to-action layer for Sales: design, build, and improve agents and automations turning account/contact/product signal into SDR qualified sequences, AE opportunity actions, and CSM account/renewal actions

• Build for AE and CSM workflows: deal-risk and next-best-action for AEs; account-health, renewal-risk, and expansion-signal for CSMs

• Serve as product owner for in-house systems: roadmap, prioritization, and quality bar for call/deal-intelligence and other revenue systems

• Design human oversight for every agent: approval gates, escalation paths, clear boundaries for what agents recommend vs. what humans approve

• Build evaluation frameworks for agent behavior: scenarios, scoring rubrics, and regression checks for production performance

• Instrument and monitor production agent activity: track model/tool calls and tie actions to pipeline and revenue outcomes

• Map and redesign seller workflows with an AI-native lens: understand current-state processes and create prioritized action plans

• Build GTM engineering integrations across revenue systems: Salesforce, Outreach, Gong/call data, and third-party signal sources like procurement/contract data

• Partner with AI platform/systems/data engineers when required: define requirements and translate business needs into technical specs

• Act as AI capability advisor for Sales: explain possibilities, manage build-vs-buy decisions, and set realistic scope/timeline

• Drive adoption and change management for tools built

• Maintain a living roadmap of AI initiatives and report impact to executives

• Communicate progress, priorities, and blockers across stakeholders

Requirements

• Bachelor's degree in Information Systems, Computer Science, Business Analytics, Data Analytics, or a related field

• 4-7 years of experience in technical product management, sales/revenue operations, data science, GTM strategy/operations, solutions architecture, or adjacent work

• Demonstrated professional experience using AI tools (e.g., Claude, Cursor, Codex) and agentic orchestration systems (e.g., n8n, make.com, Airia)

• Production experience building and operating agents with tool use, context engineering, and evaluation frameworks

• Sales/GTM experience/exposure at a SaaS company

• Exceptional first-principles problem-solving for redesigning messy manual seller workflows

• Strong user research and discovery skills to validate with SDR/AE/CSM users

• Ability to bridge technical and business stakeholders and translate requirements into engineering specs

• Comfort working code-first with Salesforce/Outreach/Gong or similar systems

• Strong analytical skills, including SQL fluency

• Self-starter with high initiative in ambiguous environments

• Exceptional written and verbal communication

Benefits

• Comprehensive healthcare options for individuals and families

• Flexible vacation policy and paid company holidays

• 401(k) with company match

• Paid parental leave, wellness stipends, and HSA contributions

• Professional development and growth opportunities

• Collaborative office environment with weekly catered lunches