Forward Deployed Engineer (Revenue)

Quick Facts

• Role: Forward Deployed Engineer (Revenue)

• Team: Applied AI

• Focus: Sales/GTM revenue workflows and AI-native signal-to-action automation

Description

Build AI-native agents and automations that convert raw go-to-market signal into actions for SDR outbound, AE opportunity management, and CSM renewals—with human review and approval points before anything reaches prospects or customers. Own the full lifecycle from problem discovery through solution adoption, including evaluation frameworks, production monitoring, and sales workflow redesign. Partner with analytics/ops, AI, and data engineers while serving as product owner and primary AI capability advisor for the revenue organization.

Responsibilities

• Design, build, and continuously improve signal-to-action agents and automations for SDR sequences, AE next-best-actions/deal-risk surfacing, and CSM account/renewal actions

• Map and redesign seller workflows end-to-end with an AI-native lens (signal sourcing, qualification, sequencing, prioritization, renewal management)

• Serve as product owner for in-house systems and drive roadmap, prioritization, and quality bar for revenue systems

• Define human oversight: approval gates, escalation paths, and clear ownership boundaries

• Create evaluation frameworks (seed scenarios, scoring rubrics, regression checks) to verify agent output before/after production

• Instrument and monitor production agent activity and connect actions back to pipeline and revenue outcomes

• Build GTM engineering integrations across revenue systems and third-party signal sources

• Translate business needs into actionable technical specs and coordinate with platform engineering when needed

• Guide adoption and change management; maintain a living roadmap and report impact to executive leadership

Requirements

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

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

• 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, including tool use, context engineering, and evaluation frameworks

• Prior exposure to GTM and Sales at a SaaS company

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

• Strong user research and discovery skills with sellers and RevOps

• Ability to bridge technical and business stakeholders and produce engineering-ready specifications

• Comfortable using a code-first approach with Salesforce/Outreach/Gong or similar systems

• Strong analytical skills with SQL and data insight framing for technical and non-technical audiences

• Self-starter with high initiative; strong written and verbal communication

Benefits

• Comprehensive healthcare options for individuals and families

• Flexible vacation 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