Go-To-Market Intelligence Engineer (Remote)

Access•Peabody, MA

1d•Remote

About The Position

Access is building a modern go-to-market engine that turns customer data, market signals, intent, and relationship intelligence into prioritized opportunities and coordinated action across Sales, Marketing, and Customer Success. The Go-To-Market Intelligence Engineer owns the intelligence and automation layer of this model. This is a builder role focused on translating commercial problems into working, measurable GTM solutions—not a system-administration role. The role does not own the underlying CRM, data warehouse, marketing automation, or integration platforms. Instead, it partners with IT, Enterprise Data, Revenue Operations, Marketing Operations, and platform owners to onboard tools, define requirements, configure capabilities, and deploy workflows. It owns commercial use cases, business logic, configuration requirements, workflow design, and performance measurement, but not CRM or marketing automation administration, data warehouse or integration-platform ownership, core data engineering, cybersecurity, enterprise architecture, or production infrastructure. The successful candidate will build and improve account and opportunity intelligence, design and launch coordinated GTM plays, activate data and signals, and measure the impact of workflows on pipeline, bookings, revenue, and productivity. The role works cross-functionally with Sales, Marketing, Customer Success, Revenue Operations, Finance, IT, Enterprise Data, and Product, and supports platform onboarding, testing, deployment, adoption, and vendor implementation. First-year priorities include establishing the GTM intelligence roadmap; launching account-prioritization and opportunity-sizing models; operationalizing intent, compelling-event, and relationship signals; building an initial portfolio of automated GTM plays; embedding prioritized actions into frontline workflows; establishing closed-loop performance measurement; and demonstrating measurable impact on pipeline, bookings, and productivity. The ideal candidate is a commercially oriented builder with technical fluency in workflow design, data analysis, automation configuration, and partnership with IT. They can identify high-value commercial problems, define the required intelligence, build workflow logic, coordinate deployment, and demonstrate whether a solution improved revenue performance.

Requirements

At least 5 years of experience in Revenue Operations, Sales Operations, Marketing Operations, GTM strategy, growth operations, commercial analytics, or revenue technology.
Experience building account scoring, segmentation, prioritization, intent, or opportunity models.
Strong understanding of B2B enterprise sales, account-based marketing, customer expansion, and complex buying journeys.
Experience designing and launching automated GTM workflows.
Experience translating business problems into technical or configuration requirements.
Working knowledge of CRM, marketing automation, sales engagement, enrichment, intent, and analytics platforms.
Ability to analyze commercial data using SQL, business intelligence tools, or comparable methods.
Experience measuring impact on pipeline, conversion, bookings, or productivity.
Strong program-management, documentation, and cross-functional communication skills.

Nice To Haves

Experience with Salesforce, Microsoft Dynamics, Marketo, Outreach, Salesloft, 6sense, Demandbase, Bombora, ZoomInfo, Clay, Apollo, Snowflake, Databricks, Workato, n8n, Zapier, Make, or similar platforms.
Experience configuring workflow-automation tools and working with APIs.
Exposure to Python or JavaScript.
Experience building AI-assisted research, account-intelligence, or outreach workflows.
Experience in a multi-product, multi-segment B2B organization or private-equity-backed environment.

Responsibilities

Build account and opportunity prioritization models using fit, intent, engagement, relationship, and customer data.
Identify whitespace, cross-sell, upsell, new-logo, renewal, and retention opportunities.
Develop practical ICP, propensity, opportunity-sizing, and relationship-strength models.
Turn market events and customer activity into actionable commercial insights.
Test and improve scoring models using actual sales outcomes.
Implement and maintain repeatable GTM plays across Sales, Marketing, and Customer Success.
Define triggers, target accounts, actions, channels, ownership, timing, and success metrics for GTM plays.
Build workflow logic for alerts, tasks, account lists, sequences, campaigns, and follow-up actions.
Configure workflows in partnership with IT and platform owners, coordinating automation to avoid duplicate or conflicting outreach.
Work with Product Marketing, Product, Operations, and data teams to define data and signals needed for GTM use cases.
Partner with IT and Enterprise Data to onboard enrichment, intent, relationship, and market-intelligence providers.
Translate business needs into clear configuration, integration, and data requirements, and validate that data is accurate, timely, and usable before activation.
Build closed-loop measurement systems for GTM plays and track performance from account identification through engagement, meetings, pipeline, bookings, and revenue.
Run structured experiments on targeting, timing, sequencing, and messaging; scale successful approaches and stop or redesign unsuccessful ones.
Build dashboards and reporting with Revenue Operations and analytics teams.
Work with Sales, Marketing, Customer Success, Revenue Operations, Finance, IT, Enterprise Data, and Product to translate commercial priorities into technical and configuration requirements.
Partner with IT on platform onboarding, security, architecture, integration, testing, and deployment.
Support user acceptance testing, frontline adoption, and workflow enablement.
Explain technical tradeoffs clearly to non-technical commercial leaders.
Manage external vendors and implementation partners from a business-use-case perspective.
Establish the GTM intelligence roadmap and launch account-prioritization and opportunity-sizing models.
Operationalize intent, compelling-event, and relationship signals; build an initial portfolio of automated GTM plays; and embed prioritized actions into frontline workflows.
Demonstrate measurable impact on pipeline, bookings, and productivity, including adoption, prioritization, engagement, conversion, activation speed, scoring quality, closed-loop measurement, ROI, and partnership quality.