Procore Technologies
Director, MarTech & AI Ops
US - Texas - Austin · Director
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About the role
- As a Director of MarTech & AI Ops, you'll sit where marketing, data, and AI meet, working across Marketing, RevOps, Sales, Data Engineering, Finance, IT, and Security.
- Join us as we redefine marketing technology and operations in a high-growth tech environment-apply today!
- This position will report to our Senior Director, Demand Generation and can be based in our Austin, TX or San Francisco Bay Area office on a hybrid model.
Responsibilities
- Stand up and maintain a clean, governed data foundation-including hygiene standards and Marketo-Salesforce data flows-as an ongoing operational discipline.
- Own the AI context layer by building structured, API-ready sources of truth for messaging and persona schemas, and build and run AI-assisted workflows across campaign production, operations, and reporting.
- Own the lifecycle and operational flow, establishing the platform logic, stages, hand-offs, SLAs, and execution QA to scale campaign volume efficiently.
- Enable and govern platform and data readiness to optimize scoring, attribution, and measurement by delivering clean data, platform plumbing, and monitoring to partner analytics and data science teams.
- Manage the marketing-operations budget, technology renewals, and build/buy/consolidate/retire decisions across the tech stack based on total cost of ownership and business fit.
- Your primary goal is to turn marketing technology from something we maintain into an engine that reliably moves pipeline, ensuring marketing operates on one clean, governed source of truth.
- Partnering alongside marketing strategy, analytics, and dedicated engineering resources, you will build and run an integrated platform that grounds AI outputs and drives scalable GTM operations.
Requirements
- 12+ years of progressive experience in marketing operations or RevOps, including 7+ years of leadership experience at a high-growth B2B SaaS company.
- Deep technical command and architecture expertise in Marketo and its integration with Salesforce as a system of record.
- Demonstrated proficiency with core marketing systems and data providers, including Salesforce, Marketo, LeanData, Snowflake, ZoomInfo, and Clay.
- Strong understanding of marketing lifecycle, lead scoring, and attribution models, with a proven track record of maintaining data hygiene and quality standards.
- Experience standing up privacy, consent, and data-governance frameworks (such as GDPR and CCPA) that hold up under audit.
Compensation
- 172,000.00 - 236,500.00 USD Annual
- This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation.
- Procore is committed to offering competitive, fair, and commensurate compensation.
- Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.
- Obtain cross-functional commitments to design and deliver an annual and quarterly MarTech roadmap aligned with the broader GTM tech roadmap
- Align marketing's annual and quarterly targets with sales, tracking delivery and managing external implementation partners and agencies.
Benefits
- This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation.
- Own the architecture, health, and roadmap of the global marketing stack, keeping Marketo and its integration with Salesforce at the core alongside automation, ABM, content, and engagement tools.
Company info
- Build, mentor, and lead a distributed global team across campaign production (NA, APAC, EMEA) and platform operations, working alongside a forward-deployed engineer.
- What we're looking for:
- We're looking for a Director of MarTech & AI Ops to lead the strategy, systems, and data foundation behind Procore's global marketing organization.
- In this role, you'll define and own Procore's go-forward marketing-technology roadmap end-to-end, bringing the entire stack-systems, global team, and data workflows-to a higher level of maturity.
This listing is sourced directly from Procore Technologies's careers page and normalized into a canonical job model.