Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
United States, Remote
Actively hiring, first seen by us todayListed location: United States, RemoteRead the full posting
You will lead the team that sets marketing's pipeline targets with Sales, measures what drives revenue, runs campaign operations, and builds the AI agents our marketers use every day.
Build an AI-run marketing team on Dataiku.
Build the funnel model working back from bookings and ARR targets to pipeline targets
Launch an account-based attribution model that Sales uses in pipeline reviews
Lead campaign operations in HubSpot and Salesforce with intake and quality standards
Build and govern marketing AI agents and GenAI workflows on Dataiku
Measure return on every program and event and recommend budget moves each quarter
You will lead the team that sets marketing's pipeline targets with Sales, measures what drives revenue, runs campaign operations, and builds the AI agents our marketers use every day. You will bring a point of view to the marketing leadership team on where we invest.
Build an AI-run marketing team on Dataiku. You will design and govern the agents our marketers rely on, and your work becomes a story we tell customers.
Build the funnel model that works back from bookings and ARR targets to pipeline, engagement, and coverage targets, agreed with Sales.
Launch a new account-based attribution model and make it the one Sales uses in pipeline reviews.
Lead campaign operations in HubSpot and Salesforce, with clear intake, quality, and turnaround standards for global and regional teams.
Build and govern Marketing's AI agents and GenAI workflows on Dataiku, from first idea through evaluation, review, and monitoring.
Measure the return on every program and event, so we fund what works and cut what doesn't.
10+ years in marketing operations, analytics, or revenue operations at an enterprise B2B software company, including 4+ years leading teams.
Experience with Salesforce, HubSpot, 6sense, Clay, Gong, Snowflake, or similar tools. Dataiku experience is a plus.
Experience working across regions with different levels of data and process maturity.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 7 and day 54.
At Dataiku, jobs usually come down by about day 37.
From 7,962 similar postings that came down, and 12 of Dataiku’s. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- A hands-on background (attribution, and AI agents or GenAI workflows in production) and the experience to now lead through a team, staying close enough to the work to unblock it. - Experience with Salesforce, HubSpot, 6sense, Clay, Gong, Snowflake, or similar tools. Dataiku experience is a plus. - Experience working across regions with different levels of data and process maturity.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Sr. Director | Reports to the CMO | Leads a team of 4 | Global scope across the Americas, EMEA, and APJ | Location: US
You will lead the team that sets marketing's pipeline targets with Sales, measures what drives revenue, runs campaign operations, and builds the AI agents our marketers use every day. You will bring a point of view to the marketing leadership team on where we invest.
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United States, Remote
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