Hatch is an AI agent CRM platform that helps home services, home improvement, healthcare, dental, finance, and insurance businesses turn every customer interaction into revenue growth. Our AI CSRs handle conversations over SMS, email, and voiceâ24/7âenabling businesses to scale 1:1 communication without scaling headcount.
Recently acquired by Yelp, Hatch is accelerating growth and expanding our reach to help thousands more businesses unlock the revenue sitting in their lead pipeline. We've driven $5.1B in revenue for our customersâand we're just getting started.
Reporting to the VP of Marketing, we're looking for a Marketing AI Operations Manager to build and manage the marketing technology infrastructure, AI agent force, data systems, and operational processes that power every marketing function at Hatchâbringing a quantitative, engineering-minded approach to automation, attribution, and scalable execution.
This is not a traditional Marketing Ops role. You'll be at the frontier of agentic marketing operationsâimplementing, managing, and evolving a fleet of internal AI agents that execute marketing workflows alongside human marketers. You'll own and manage Hatch's internal marketing AI agent force, building and refining workflows, and partnering with marketers across the team to establish agent-driven automations that grow in complexity and sophistication over time.
If you thrive at the intersection of marketing technology, data architecture, and AI-powered automationâand you want to define what the next generation of marketing operations looks likeâthis is your role.
Own and administer the marketing tech stack end to endâHubSpot (CRM & marketing automation), Data enrichment, , Google Analytics 4, Mobly (event attribution), and supporting tools and integrations.
Own and manage Hatch's internal marketing AI agent forceâimplementing AI agents, building and refining workflows, and partnering with marketers across the team to establish agent-driven automations that grow in complexity and sophistication over time.
Make decisive, ROI-driven decisions on tech stack consolidation, vendor selection, and cost efficiency of marketing software.
Build and maintain integrations between platforms (via native connectors, Zapier/Make, or APIs) to ensure seamless data flow across the marketing and sales ecosystem.
Manage lead lifecycle processesâscoring, routing, SLAs, and handoff to Salesâensuring speed-to-contact and conversion rates are continuously optimized.
Design and implement sophisticated lead scoring models in HubSpot that incorporate behavioral signals, firmographic data, and enrichment from Clay to surface the highest-intent prospects.
Partner with Sales & Ops teams to maintain CRM alignment and pipeline reporting.
Build and optimize automated nurture workflows, re-engagement sequences, and lifecycle stage transitions that move leads through the funnel without manual intervention.
Build and maintain attribution models and reporting dashboards for transparent, closed-loop ROI tracking across all channels and campaigns.
Deliver end-to-end visibility into channel performance, campaign ROI, CAC, LTV, pipeline velocity, and funnel conversion rates.
Ensure marketing attribution accuracy and reporting timeliness so the team can make real-time decisions on budget allocation and campaign optimization.
Own marketing's relationship with dataâpulling reports, building dashboards in HubSpot and GA4, and proactively surfacing insights that inform strategy.
Ensure data hygiene, compliance, and list management across all marketing systems.
Implement automated data quality standardsâdeduplication, decay monitoring, enrichment coverageâto maintain database integrity.
Work with legal teams to manage opt-in and send compliance with relevant regulations across email, SMS, and digital channels.
Maintain and optimize audience segmentation, suppression lists, and data governance processes.
Serve as the operational backbone for the entire marketing team enabling Growth, Product Marketing, Corporate Marketing, Field Marketing, and Customer Marketing to execute faster and smarter.
Partner closely with Sales Ops/RevOps to align on CRM standards, pipeline definitions, and reporting.
Collaborate with Product and Engineering on technical integrations, tracking implementation, and product-led growth instrumentation.
Act as the go-to expert on what's possible with AI-driven automationâproactively identifying opportunities to replace manual work with agent-driven workflows.
5+ of experience in marketing operations, revenue operations, or growth operations roles at B2B SaaS companiesâpreferably in high-growth or startup environments.
Proven track record building and scaling marketing operations infrastructureâyou've stood up systems and maintained them.
Deep understanding of B2B lead lifecycle management, funnel mechanics, and the interplay between marketing and sales processes.
Demonstrated experience implementing and managing AI-powered automations or workflow tools in a marketing context.
Expert-level proficiency in HubSpotâCRM configuration, marketing automation workflows, lead scoring, custom objects, sequences, and reporting. HubSpot certifications strongly preferred.
Hands-on experience with enrichment tools such as Clay and Apollo.io for data enrichment, prospecting automation, and waterfall enrichment workflowsâor strong demonstrated ability to learn quickly.
Strong command of Google Analytics 4 for web analytics, conversion tracking, and attribution.
Experience with event attribution tools (Mobly or similar) and understanding of offline-to-online attribution challenges.
Working knowledge of integration platforms (Zapier, Make, native APIs) to connect and orchestrate data flows between systems.
Bonus: SQL or data querying skills; experience with BI tools (Looker, Tableau, Power BI)
Systems thinker: You see the entire marketing-to-revenue engine as an interconnected system and obsess over making it run flawlessly.
AI-forward: You're genuinely excited about AI agents and automation. You don't just use AI toolsâyou think critically about how to deploy them to multiply marketing output.
Data-native: You live in the metrics. You can design measurement frameworks, interpret results, and translate findings into operational improvements.
Engineering-minded: You bring rigor, documentation, and scalability to everything you build. If it can't scale, you redesign it.
Bias toward action: You'd rather launch and iterate than wait for perfection. You move fast without sacrificing data integrity.
Collaborative partner: You can work effectively across marketing, sales, product, and engineeringâtranslating technical concepts for non-technical stakeholders and vice versa.
Hatch