At Algolia, we’re proud to be a pioneer and market leader in AI Search, empowering 18,000+ businesses to deliver blazing-fast, predictive search and browse experiences at internet scale. Every week, we power over 30 billion search requests — four times more than Microsoft Bing, Yahoo, Baidu, Yandex, and DuckDuckGo combined.
In 2021, we raised $150 million in Series D funding, quadrupling our valuation to $2.25 billion. This strong foundation enables us to keep investing in our market-leading platform and serving incredible customers like Under Armour, PetSmart, Stripe, Gymshark, and Walgreens.
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 YouYou'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.
- 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.
- 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.
Algolia does not discriminate on the basis of race, color, religion, sex, age, national origin, military status, veteran status, disability status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
The annual base salary compensation range for this role reflects market pay data within this location. The exact compensation offered for this role may vary depending on specific location and job-related knowledge, technical skills, and experience; and is only one part of our Total Rewards philosophy to compensate and recognize employees for their work.
FLEXIBLE WORKPLACE STRATEGY:
Algolia’s flexible workplace model is designed to empower all Algolians to fulfill our mission to power search and discovery with ease. We place an emphasis on an individual’s impact, contribution, and output, over their physical location. Algolia is a high-trust environment and many of our team members have the autonomy to choose where they want to work and when.
We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid-remote employees. Positions listed as "Remote" are only available for remote work within the specified country. Positions listed within a specific city are only available in that location - depending on the role it may be available with either a hybrid-remote or in-office schedule.
WE’RE LOOKING FOR SOMEONE WHO CAN LIVE OUR VALUES:
- GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment.
- TRUST - Willingness to trust our co-workers and to take ownership.
- CANDOR - Ability to receive and give constructive feedback.
- CARE - Genuine care about other team members, our clients and the decisions we make in the company.
- HUMILITY - Aptitude for learning from others, putting ego aside.
We’re looking for talented, passionate people to help build the world’s best search and discovery technology. We value autonomy, diversity, and collaboration. We’re committed to creating an inclusive workplace where everyone is respected and supported—regardless of race, age, ancestry, religion, sex, gender identity, sexual orientation, marital status, color, veteran status, disability, or socioeconomic background.
IMPORTANT NOTICE FOR CANDIDATES - Recruitment Fraud Notice
We’ve recently seen an increase in recruitment scams targeting job seekers. To help protect yourself, please keep the following in mind:
- Our open positions may appear on third-party job boards, but the best way to apply safely is directly through our careers page.
- All genuine communication from Algolia will come from an @algolia.com email address. If you receive an email from someone claiming to work at Algolia who does not have an @algolia.com email address, please do not respond or share any personal information.
- We’ll never ask for payments, purchases, or financial details during the hiring process.
READY TO APPLY?
If you share our values and our enthusiasm for building the world’s best search & discovery technology, we’d love to review your application!
Algolia San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
