Emergence

SaaS

GTMArchitect

$75–105k ~AI est. United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“GTM Architect at Emergence. Skills: GTM systems, RevOps infrastructure, Growth engineering. Design end-to-end GTM data pipelines. Operate end-to-end GTM data pipelines”

What You'll Achieve.

Improve response rates; Improve pipeline quality; Improve system improvements

Industry & Context.

SaaS
Problems you'll solve

Map business problems; Design solutions; Diagnose pipeline issues; Troubleshoot systems

What They're Looking For.

Must Have

2+ years building GTM systems, Hands-on experience designing data pipelines, Integrate and deploy AI/LLM workflows, SQL proficiency, Comfortable with web scrapers, Scripting ability in Python or JavaScript, Systems thinking, Track record of building reliable systems

Nice to Have

Experience scaling GTM systems, Familiarity with outbound tooling, Familiarity with intent data platforms, Background in data engineering, Background in analytics engineering, Background in infrastructure-as-code practices

What You'll Do.

Design end-to-end GTM data pipelines

Operate end-to-end GTM data pipelines

Build AI/LLM workflows

Integrate and sync data

Architect agentic workflows

Execute multi-step outreach sequences

Diagnose system bottlenecks

Document GTM architecture

Document troubleshooting playbooks

Own Salesforce GTM configurations

Manage API integrations

Partner with sales leaders

Partner with marketing leaders

Translate business problems

How You'll Work.

Team & Collaboration

Sales ops; Sales and marketing leaders

Full Job Description

GTM Architect, Emergence | Remote, US | Full-Time Who We Are Emergence is a thematic holding company backed by the Pritzker Organization focused exclusively on acquiring and scaling category-defining software businesses. We invest in focused portfolios, specialized operating groups with deep domain expertise and proven playbooks. Emergence combines operational rigor with a growth equity mindset, driving sustainable ARR growth, profitability improvements, and industry-leading customer outcomes. The Mission Build the technical GTM foundation that lets portfolio companies execute high-quality campaigns at scale without rebuilding systems. What You'll Do - Design and operate end-to-end GTM data pipelines with measurable coverage and latency SLAs across providers. - Build AI/LLM workflows for company classification, intent detection, and personalized research that improve response rates. - Integrate and sync data across the full GTM stack; identify and resolve bottlenecks that degrade pipeline quality. - Architect agentic workflows that execute multi-step outreach sequences with minimal manual intervention and clear failure tracking. - Diagnose system bottlenecks using SQL analysis and data flow validation; iterate on logic and test improvements. - Document GTM architecture, data models, and troubleshooting playbooks so sales ops can own components independently. - Own Salesforce GTM configurations and data quality; manage API integrations and web scrapers feeding the system. - Partner with sales and marketing leaders to translate business problems into measurable system improvements. What We're Looking For Must-haves - 2+ years building end-to-end GTM systems, RevOps infrastructure, or growth engineering workflows from data to execution. - Hands-on experience designing data pipelines using APIs, Salesforce, and data providers like Apollo, Hunter, or Clearbit. - Proven ability to integrate and deploy AI/LLM workflows in production with prompt design and error handling. -

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