Senior GTM AI Architect

Invoca•Los Angeles, CA
•$130,000 - $165,000•Remote

About The Position

As Senior GTM AI Architect, you will own the data that powers Invoca’s go-to-market engine. You will transform fragmented data across platforms into a clean, trusted master dataset, applying expertise in enrichment and data architecture and working around the limitations of data providers and GTM tools. Reporting to the Sr. Director of Revenue Systems, Data & AI, you will partner with Sales, Marketing, Customer Success, and the Salesforce team to ensure the CRM, connected tools, and AI agents rely on trustworthy data. Invoca’s Revenue Operations team is a cross-functional group that works with Sales, Marketing, and Customer Success to streamline processes, implement systems, and improve efficiency. The role is remote-first and open to candidates based within approximately a two-hour drive of the listed U.S. metro areas. Occasional business travel may be required. The base salary range is $130,000–$165,000. Bonus and/or commission eligibility may apply, and all employees are invited to participate in the company’s stock option program. Actual compensation depends on factors including experience, skills, and location.

Requirements

  • At least 5 years of experience in GTM data, revenue operations, or data operations roles in B2B SaaS.
  • Deep, hands-on experience enriching data at scale and working with complex data structures.
  • Expert-level ZoomInfo experience, including knowledge of its limitations and ways to work around them.
  • Hands-on experience building waterfall enrichment in Clay.
  • Experience using AI to clean, fix, and enrich datasets.
  • Proven ability to turn broken data structures into clean, governed ones.
  • Experience with entity resolution, matching, and deduplication across multiple data sources.
  • Understanding of data lakes and data warehouses and how they support a master dataset.
  • Experience using conversation intelligence data, such as Gong or similar, to enrich CRM records.
  • Advanced Salesforce data management experience using Data Loader, DemandTools, or similar.
  • Strong SQL/SOQL and reporting skills.
  • Clear communication with technical and non-technical stakeholders.
  • Strong ownership and comfort working in a fast-paced environment.
  • Candidates must be based within approximately a two-hour drive of one of the specified U.S. areas: Greater Los Angeles Area (including Santa Barbara and San Diego), SF Bay Area, Denver Metro, Austin Metro, Chicago Metro, Greater NYC Area, or Seattle Metro.

Nice To Haves

  • Salesforce Admin Certification.
  • Curiosity about AI and how clean data enables agents and automation.

Responsibilities

  • Diagnose broken account hierarchies, duplicate records, and inconsistent fields, then design and execute a clean, scalable data structure.
  • Define source-of-truth rules and maintain a golden record for accounts and contacts across Salesforce and connected systems.
  • Resolve identities across ZoomInfo, Clay, Gong, Marketo, Demandbase, Salesforce, and other sources.
  • Optimize ZoomInfo use despite product limitations, including tracking contacts as they change companies and keeping records current.
  • Design large-scale enrichment routines, match logic, waterfalls, and refresh cadence using ZoomInfo, Clay, and other providers.
  • Use AI tools and agents to repair records, standardize fields, and fill data gaps at scale.
  • Use Gong data to fill gaps in Salesforce contacts, roles, buying groups, and opportunity details.
  • Partner on the role of the data lake and data warehouse in the GTM stack and the flows between them, Salesforce, and other tools.
  • Lead large data loads, merges, mass updates, and list builds for campaigns and territory changes.
  • Administer and optimize ZoomInfo, Cognism, and Clay, including configuration, credit usage, match rates, and Salesforce integration health.
  • Structure the data that AI agents and automations rely on, including account signals, ICP inputs, and scoring inputs.
  • Track data coverage, accuracy, and freshness, and report progress using clear metrics.

Benefits

  • Medical, dental, and vision coverage beginning on the first day of employment for U.S.-based teammates.
  • Mental wellbeing support and an Employee Assistance Program (EAP).
  • Wellness subsidy reimbursable toward gym memberships, fitness classes, and similar expenses.
  • Flexible paid time off.
  • 20 U.S. paid holidays, including a winter break.
  • Up to 12 weeks of 100% paid leave for baby bonding, adoption, and caring for family members.
  • Up to 12 weeks of 100% paid medical leave for childbirth and medical needs.
  • Access to enterprise-grade AI tools, including leading LLMs and agentic AI workflow solutions.
  • Up to $1,000 per fiscal year for professional development, learning, certifications, and conferences.
  • 401(k) plan through Fidelity with company matching up to 4%.
  • Company-wide and team recognition programs, including President’s Club and quarterly and departmental awards.
  • Sabbatical after seven years of service.
  • Stock option program for all employees.
  • Bonus and/or commission eligibility, where applicable.
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