GTM Data Operations Manager
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Algolia is seeking a detail-oriented and proactive GTM Data Operations Manager to join our Revenue Operations team to ensure our customer and prospect data is trusted, governed, and operationally sound across the entire GTM ecosystem.
The GTM Data Operations Manager owns the operational health, governance, and integrity of customer and prospect data across the company's go-to-market systems. The role is responsible for ensuring Leads, Contacts, Accounts, and related GTM data are accurate, enriched, synchronized, and governed to enable effective execution across Marketing, Sales, Customer Success, and Analytics.
The role partners closely with GTM Systems, Marketing/Sales Operations, Analytics, Customer Success Operations, and Data / Systems Engineering to maintain reliable data foundations, support automation and AI native workflows, and continuously improve data quality across the revenue technology stack.
About You
You're passionate about building high-quality data foundations that enable great business decisions, and you enjoy solving complex operational problems across systems and teams. You're organized, analytical, and detail-oriented, comfortable owning your area independently while collaborating across Marketing, Sales, Customer Success, Data / Systems Engineering, and Revenue Operations. You take pride in creating operational excellence behind the scenes, building reliable processes, documenting standards, and continuously improving the quality and integrity of GTM data. Above all, you understand that trusted data is the foundation for exceptional customer experiences, operational efficiency, analytics, AI, and business growth.
Key Responsibilities
- Data Stewardship, Governance & Quality
- Act as the operational steward for customer and prospect data (Leads, Contacts, and Accounts) across the GTM ecosystem, ensuring data is accurate, complete, consistent, and trusted.
- Own operational governance for customer and prospect data across Salesforce, Marketo, Demandbase and related integrated GTM systems, including data quality standards, telemetry requirements, validation rules, field governance, and operational policies.
- Execute recurring hygiene programs including deduplication, standardization, enrichment validation, and lifecycle management; partner with system owners to resolve data integrity issues.
- Partner with business stakeholders to evaluate requests for new fields, objects, and data standards while maintaining integrity and consistency across the ecosystem.
- Identify data quality risks, drive remediation efforts, and support the evolution of GTM data models as business needs change.
- Data Enrichment & Identity Management:
- Administer enrichment workflows across GTM platforms.
- Monitor enrichment success rates and troubleshoot failures.
- Maintain enrichment mappings and integrations.
- Partner with GTM Technology on vendor implementations and improvements.
- Data Operations:
- Monitor critical integrations between Salesforce, Marketo, Demandbase and other GTM systems.
- Investigate synchronization failures and scope / support implementation to minimize future failures.
- Ensure customer and prospect data flows reliably across systems.
- Support operational readiness for new fields, objects and integrations as well as deprecation of those no longer needed.
- Operational Excellence:
- Support complex audience segmentation requests requiring deep knowledge of GTM data structures.
- Provide operational data support for strategic GTM initiatives as required.
- Ensure GTM data is structured and governed to support scalable reporting, automation, and AI-powered workflows.
- Document data processes and governance standards.
- Develop dashboards to monitor data quality health.
- Identify automation opportunities that improve operational efficiency.
- Support audit and compliance requests.
Qualifications
- 3+ years of experience in Revenue Operations, Marketing Operations, Sales Operations, CRM Administration, Data Operations, or a related GTM operations function.
- Located in US ET or CT
- Strong working knowledge of Salesforce and CRM data management principles, including Leads, Contacts, Accounts, and related data structures.
- Experience working with marketing automation platforms (e.g., Marketo) and GTM data platforms and enrichment technologies.
- Familiarity with SQL and data warehouse concepts (e.g., Hex, Databricks, ThoughtSpot, etc) is a plus.
- Understanding of CRM architecture, lead lifecycle management, data enrichment, and system integrations across the GTM technology stack.
- Experience maintaining data quality through governance, validation rules, deduplication, standardization, and operational data hygiene.
- Working knowledge of APIs, webhooks, and system integrations, with the ability to troubleshoot data synchronization issues across multiple platforms.
- Strong analytical, problem-solving, and root cause analysis skills with exceptional attention to detail.
- Excellent organizational, communication, and cross-functional collaboration skills, with the ability to manage multiple priorities independently.
- Experience documenting processes, identifying automation opportunities, and continuously improving operational workflows.
Preferred Qualifications
- Salesforce Administrator certification or equivalent hands-on experience.
- Experience with GTM data platforms such as Demandbase, 6sense, ZoomInfo, Clearbit, Apollo, or similar technologies.
- Experience supporting enterprise B2B SaaS go-to-market organizations.
- Familiarity with AI-enabled workflows, modern data governance practices, and enterprise GTM technology ecosystems.
The above is not an exhaustive list of duties and behaviors expected of this role. The company reserves the right to amend or delete with or without notice in line with change in business needs.
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Algolia
View Company ProfileAlgolia is a premier, enterprise-grade AI search and discovery powerhouse engineered to orchestrate massive-scale information-retrieval ecosystems and intelligent, frictionless content-navigation workflows. Operating as an "API-first" search-as-a-service hub, the company eliminates the operational friction of traditional, legacy search implementations—which frequently suffer from slow query-latency, poor typo-tolerance, and disconnected data-indexing pipelines—by seamlessly deploying advanced "NeuralSearch" telemetry, rigorous vector-based semantic search architectures, and cohesive cross-platform integration frameworks. Moving beyond rigid legacy keyword-search paradigms, Algolia empowers global enterprises—including leaders like Under Armour, Stripe, and Slack—to dynamically synchronize their product discovery, generative AI responses, and personalized user-journey pipelines with elite, scalable, and audit-ready execution. Under the hood, their sophisticated proprietary operational infrastructure—bolstered by 70+ global data centers and hyperscale indexing—natively manages complex global multi-region data ingestion, instantaneous automated relevance-optimization, and secure, compliance-hardened deployment workflows, providing the necessary operational foundation to support the modern, high-velocity AI-driven economy. What sets Algolia apart is its uncompromising dedication to frictionless "discovery-orchestration"; by bridging the gap between highly technical, performance-intensive retrieval demands and accessible, high-velocity developer-centric interfaces, the firm empowers modern commercial organizations to radically accelerate their search-to-conversion velocity, eliminate systemic relevance-bottlenecks, and build an unassailable foundation for continuous commercial and institutional success in the modern, AI-transformed global-technology landscape.
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