Digital Things Inc

We're hiring a Marketing Operations Lead for our client - a B2B SaaS product for LinkedIn advertising optimization and buyer intent intelligence. An investment-backed company, not budget-constrained on marketing - execution-constrained.

What you'll own:

• Build marketing funnels that convert - hands-on plus contractors/team
• Own deep execution in one channel where you're genuinely strong
• Drive initiatives to completion: briefs, deadlines, quality, replacing underperformers
• Proactively find and close funnel gaps

Not your responsibility: overall strategy and positioning (leadership owns this), deep execution outside your channel.

You're a fit if you:

• Have 3–5 years in marketing operations or hands-on marketing, with proven depth in one channel (SEO/paid/content is a bonus)
• Have built funnels for B2B SaaS self-serve products specifically (not enterprise/sales-led)
• Use AI practically in your workflow - automation, integrations, not just writing/research
• Manage your own priorities well in a fast, parallel environment
• Are detail-obsessed and act on gaps you notice
• Have experience managing contractors, with your own network to plug in
• Write clearly in English (C1/B2). 
• Based in Lviv or open to regular trips

What We Offer:

• 24 days PTO per year (includes sick days), Ukrainian public holidays observed
• Flexible schedule, no time tracking
• Remote-first, with periodic in-person workshops in Lviv
• Draft deferral eligibility after probation (via direct employment with a Diia City-registered entity)

Interested in this role? We'd love to hear from you!🚀

Hi!

Our client is an international product company that helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT processes on AWS
• Develop and optimize distributed data processing jobs using Spark/PySpark
• Ensure data quality, reliability, and performance in high-load environments
• Collaborate with product, analytics, and engineering teams to deliver data-driven solutions
• Monitor, troubleshoot, and improve existing data workflows
• Proactively identify bottlenecks and propose architectural improvements

Requirements:

• 5+ years of commercial experience in Data Engineering
• 3+ years of hands-on experience with AWS
• 2+ years of experience with Spark/PySpark 
• Experience working in high-load environments
• Autonomous and proactive mindset - ability to own tasks and drive them independently

We offer:

• Work on a product used by the world's leading hotel brands
• An international team and the opportunity to influence architectural decisions
• Flexible schedule and remote work
• Competitive compensation based on experience

Interested? Send us your CV - we'd love to talk!