Skills this job asks for
Machine learningLeadershipCRMSalesforceProduct managementComplianceB2B salesSnowflake
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Where you can work from
United States only
Based on the listing's location: Remote (USA); United States, Remote.
The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.
Visa sponsorship, if you would relocate
Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 2 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What dataiku paid sponsored hires in similar roles1 certified filing for “Customer Success Engineer” (Operations Research Analysts) in IL: $136k–$136k, median $136k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 2 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Apr 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What dataiku paid sponsored hires in similar roles
- 1 certified filing for “Customer Success Engineer” (Operations Research Analysts) in IL: $136k–$136k, median $136k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
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 .
About the role
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.
Why this role
• Own the pipeline number with Sales. You will set marketing's pipeline targets by region, segment, and channel, and measure progress against them.
• 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.
• Shape where the money goes. Your analysis guides marketing investment decisions and reaches the CMO and the board.
• High leverage, global reach. A team of four covering three regions, with a mandate to grow capacity through automation and AI rather than headcount.
What you will do
Set and measure the number
• 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.
• Own the marketing performance scorecard: one source of truth, shared with Sales, from brand awareness through account engagement to pipeline.
• Measure the return on every program and event, so we fund what works and cut what doesn't.
Run the marketing engine
• Lead campaign operations in HubSpot and Salesforce, with clear intake, quality, and turnaround standards for global and regional teams.
• Own the marketing technology stack, roadmap, and budget, and simplify it.
• Build account scoring, segmentation, and routing that match how Sales covers accounts.
• Set the lifecycle, campaign naming, and data standards that make reporting trustworthy.
Build the AI layer
• Build and govern Marketing's AI agents and GenAI workflows on Dataiku, from first idea through evaluation, review, and monitoring.
• Get every marketer using these tools in their weekly work, and report the productivity gains.
• Use automation and agents to grow the team's output without growing its size.
Guide investment
• Provide the spend and performance data behind marketing's planning and budget decisions.
• Run experiments and recommend where to move budget each quarter, by channel, region, and program.
• Make performance data self-service, so marketers can answer their own questions.
• Own data quality, privacy and consent compliance (including GDPR), and responsible AI use across marketing.
What you bring
• 10+ years in marketing operations, analytics, or revenue operations at an enterprise B2B software company, including 4+ years leading teams.
• An attribution model you shipped that Sales trusted and used.
• Account-based measurement built with Sales, including target account engagement and buying-group progression.
• A hands-on background (attribution, and AI agents or GenAI workflows in pr
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