Head of Marketing Operations

Job Description

Job Description

The Marketing Operations Lead is the strategic architect of Firstup's marketing engine, responsible for designing, scaling, and optimizing the systems that accelerate revenue growth and pipeline velocity. You'll bridge strategy and execution, translating business objectives into efficient workflows, building the data infrastructure that drives insights, and partnering with leadership to shape how marketing technology fuels company growth.

In this position, you'll report directly to the Chief Marketing Officer and serve as a key thought partner on marketing excellence, technology strategy, and operational innovation.

 

Responsibilities

•  Drive measurable improvements in pipeline velocity through operational optimization—reducing lead cycle time, improving lead quality scoring, and streamlining handoff processes between marketing and sales

•   Design and maintain comprehensive multi-touch attribution models that connect marketing activities to pipeline influence and revenue outcomes, enabling data-driven investment decisions

•   Oversee and optimize the entire marketing technology infrastructure (Marketo, Qualified, Clay, Salesforce, intent data platforms, analytics tools, and third-party integrations) to ensure reliability, scalability, and alignment with business needs

•   Own all aspects of lead management: scoring models, routing logic, enrichment processes, and data quality assurance from initial capture through sales handoff

•.  Evaluate, pilot, and implement AI-powered solutions across the marketing tech stack—including predictive lead scoring, AI-driven attribution, generative AI for insights, and agentic workflows that automate complex tasks

•   Prepare monthly C-level briefings and board-ready materials that translate marketing performance into revenue impact, including pipeline velocity trends, pipeline contribution, and strategic KPIs aligned with company goals

•   Drive sales-marketing alignment by ensuring seamless lead handoff, effective lead routing, and ongoing collaboration on pipeline optimization and velocity

Required Qualifications

•   7+ years of hands-on experience with marketing automation platforms (Marketo,) including platform administration, optimization, and integration

•   5+ years of revenue operations or marketing operations experience in B2B SaaS with demonstrated ability to improve pipeline velocity and drive bookings growth

•   Advanced proficiency with Salesforce, particularly around lead management, custom objects, and integration scenarios

•   Hands-on experience building and optimizing lead scoring models, attribution frameworks, and predictive analytics

•   Experience integrating and customizing marketing automation platforms with third-party tools (CRM, intent data, analytics, etc.)

•   Strong understanding of B2B sales funnels, pipeline velocity metrics, ABM strategies, and demand generation principles

•   Proven ability to analyze complex data, identify trends and opportunities, and translate insights into actionable recommendations

•    Exceptional project management, cross-functional collaboration, and problem-solving skills with a bias toward continuous improvement

 

Strongly Preferred Qualifications

•   Demonstrated experience evaluating and implementing AI-powered marketing tools, including predictive analytics, AI-driven attribution, or generative AI applications

•   Experience with revenue ops tools and ecosystems (Clay, Clari, Hockeystack) and proven ability to extract actionable insights

•   Track record of identifying and acting on key trends in marketing performance data that led to pipeline or revenue improvements

•   Ability to translate complex data and technical concepts for C-suite audiences and experience presenting insights to executive stakeholders

•   Successful track record inheriting and optimizing existing marketing tech stacks and instances

 

Firstup expects the base salary for this role to be between $140,000-155,000. The starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience.

 

 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.