Emergence

GTM Architect

🇺🇸 US, США, США На місці IT Середній рівень Опубліковано Тра 28, 2026
Формат роботи На місці
Рівень досвіду Середній рівень
Категорія IT
IT-категорія Інженер даних
Мова English
Опубліковано 28 травня 2026 р.
Остання перевірка 29 травня 2026 р.

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2 локацій
США
  • US, США
  • США
Контекст JobGrid

Огляд ролі від JobGrid

GTM Architect at Emergence: US, США, США; На місці; Середній рівень; IT; Інженер даних. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: US, США, США, На місці
  • Role classification: IT, Інженер даних, Середній рівень
  • Source freshness: checked by JobGrid on 2026-05-29.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

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.

  • Strong SQL proficiency to validate transformations, diagnose pipeline issues, and audit data quality independently.

  • Comfortable with web scrapers, API integrations, and automation platforms like Zapier, Make, or n8n.

  • Scripting ability in Python or JavaScript to prototype workflows, automate diagnostics, and build logic.

  • Systems thinking: ability to map ambiguous business problems to root causes in data or logic and design solutions.

  • Track record of building reliable, well-documented systems that others can maintain and extend without your constant involvement.

Nice-to-haves

  • Experience scaling GTM systems across multiple portfolio companies or business units.

  • Familiarity with outbound tooling like Outreach or Salesloft, or intent data platforms.

  • Background in data engineering, analytics engineering, or infrastructure-as-code practices.

Who you are

You identify gaps in GTM systems and build fixes without being asked. You document your work so others adopt it. You've expanded RevOps or growth engineering roles by pulling in adjacent problems like pricing or handoff integration. You volunteer for unglamorous work that unblocks sales, like auditing data quality or rebuilding broken integrations. You credit the sales ops person or SDR whose feedback shaped your system improvements. You've changed your approach when data showed your design wasn't working. You refuse to ship workflows until you've mapped failure modes and built monitoring. You inherit broken systems and improve them rather than accepting "that's how it's always been done." You establish baseline metrics before building, not after.

What We Offer

  • Remote work, US based

  • You'll work directly with company leaders to shape GTM execution across the Emergence platform