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Augury

AI-powered machine and process health platform

Marketing Operations Manager

Growth & MarketingConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • Experience leading marketing operations in B2B SaaS, with measurable improvements in execution, funnel performance and technology efficiency.
  • Deep practical expertise in Marketo and Salesforce, including lifecycle architecture, campaign operations, data models and integrations.
  • Demonstrated experience simplifying a technology stack and making sound build, buy, consolidate and retire decisions.
  • Examples of AI or automation workflows put into production, including evaluation of their quality and business value.
  • Strong analytical judgment, including attribution, funnel and cohort analysis, experimentation and executive reporting.
  • Experience introducing agile practices that improved campaign throughput and predictability.
  • Technical fluency to work with APIs, integration tools, data teams and business intelligence platforms, and to investigate reporting logic.
  • Experience leading people, managing vendors and budgets, and influencing decisions across functions.
  • Willingness to work directly in the systems when needed, paired with the discipline to build processes others can run.

Responsibilities

  • Own the marketing technology roadmap, including architecture, integrations, vendor relationships, adoption and budget.
  • Build around core platforms, including Marketo and Salesforce, with clear responsibilities for each system and reliable data flowing between them.
  • Evaluate technology against business needs, existing capabilities, total cost and measurable value; consolidate overlapping tools and retire what no longer earns its place.
  • Partner with RevOps, IT and customer success operations to connect prospect and customer journeys across acquisition, retention and expansion.
  • Establish documentation, access controls and change management to keep the technology stack maintainable as the organization grows.
  • Identify and implement AI and automation opportunities across campaign production, quality assurance, enrichment, segmentation, lead management and performance analysis.
  • Redesign workflows to reduce manual work, shorten turnaround times and improve consistency.
  • Build reusable workflows and agents with clear inputs, defined permissions, human review where needed and ongoing quality monitoring.
  • Test new capabilities against measurable improvements in speed, quality, cost or business results before scaling them.
  • Equip marketers to use approved capabilities effectively, in partnership with IT and security.
  • Lead campaign operations from intake and prioritization through build, testing, launch and measurement.
  • Establish an agile operating rhythm with a visible backlog, clear briefs, capacity planning, short delivery cycles and regular retrospectives.
  • Create reusable campaign templates, audience logic and quality checks to make execution faster and more reliable.
  • Coordinate dependencies across demand generation, product marketing, content, digital and regional teams.
  • Use delivery data to identify bottlenecks, reduce rework and improve the time from campaign brief to launch.
  • Own marketing’s measurement framework, connecting investment and engagement to pipeline creation, progression, revenue and customer growth.
  • Partner with RevOps and Finance on consistent definitions for lifecycle stages, sourcing, influence, conversion and reporting.
  • Build visibility into performance at the person, buying group and account levels, including complex parent and child account relationships.
  • Combine attribution, cohort analysis and controlled experiments to understand performance, clarifying what the data demonstrates and where attribution has limits.
  • Deliver reporting that helps leaders decide where to invest, what to change and what to stop.
  • Monitor funnel volume, conversion, velocity, pipeline quality and spend efficiency across relevant segments and channels.
  • Own marketing’s approach to segmentation, scoring, nurture, campaign tracking and data quality.
  • Partner with RevOps on routing, handoff rules and service-level agreements, with visibility into follow-up and progression.
  • Use Clay, ZoomInfo and other enrichment tools to build and grow targeted account and contact lists that meet audience and lead-volume needs across inbound and outbound programs; establish enrichment, validation, deduplication and maintenance practices to keep the customer and prospect database accurate, complete and actionable.
  • Connect customer signals with marketing actions to support adoption, cross-sell and expansion in partnership with customer success.
  • Establish durable standards for campaign taxonomy, timestamps, consent, deduplication and account matching.
  • Investigate performance changes and data issues at their source, then fix the underlying process.
  • Lead and develop the marketing operations team and manage agency or contractor support where appropriate.
  • Prioritize work against business impact, team capacity and operating cost.
  • Partner with the CMO and Finance on technology and campaign spend planning, tracking and reconciliation.
  • Build strong working relationships across marketing, sales, customer success, RevOps, Finance and IT.
  • Translate technical choices and analytical findings into clear business recommendations.

Desired Qualifications

  • SQL proficiency.

About the Company

Augury

AI-powered machine and process health platform

Augury provides AI-driven solutions for machine and process health in manufacturing, centered on its Production Health platform. Machine Health uses proprietary wireless sensors to capture real-time data (vibration, temperature, magnetic) from equipment and cloud-based AI analyzes it to detect anomalies, diagnose root causes, and prescribe actions; Process Health offers real-time production optimization to increase yield and reduce waste and energy use. The company sells subscriptions for platform access and support, plus hardware sensors, serving customers in 45+ countries and across many sectors. It differentiates itself with a large, domain-specific data set, a full-stack approach combining machine and process insights, and strategic acquisitions like Alluvium and Seebo to strengthen its analytics; its goal is to move maintenance from reactive to predictive and prescriptive, boosting uptime and efficiency.

Company size
201-500
Company stage
Series F
Total funding
$369M
Headquarters
New York City, New York
Founded
2011

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