Our Team

Core Values

Mission-Focused

We have one central goal: deliver best-in-class software and services to enable our clients to solve the biggest, most complex marketing data challenges.

Courage

We stand up for what we believe in, do what needs to be done, are adept at problem-solving, and ask for help when needed.

Integrity

We foster a culture of trust, internally and externally, by relying on employees with a strong moral code and sense of personal responsibility.

Curiosity

We have a thirst for knowledge and are never afraid to ask tough questions. We try new things to drive new innovations in order to progress ourselves personally and professionally.

Leadership Team Members

Daniel Jaye

Founder, CEO

Mark Sneathen

Chief Growth Officer

Mark Costanzo

Chief Financial Officer

Jeff Storan

SVP, Product

Tom Burg

SVP, Marketing

Scott Sprunger

Chief Solutions Architect

Joshua Brandt-Rauf

VP, Client Success
tom-winchell-aqfer-vp-sales

Tom Winchell

VP, Sales

Michael Keohane

VP, Client Engineering

Narayanan R

VP, Engineering

Working at Aqfer

Our global workforce is a diverse group of individuals with a wide range of backgrounds and skills all coming together for one important goal: to help our clients and their customers overcome today’s most pressing data-related marketing and advertising challenges. We’re dedicated to understanding the constantly changing needs of our clients, and together we work to provide them with the solutions and services needed for them to thrive in today’s digital world.

Our core values are at the heart of everything we do at Aqfer and we’ve built an inclusive culture where our employees are able to grow personally and professionally. We of course value hard work, but we also believe strongly in a healthy work/life balance which is reflected in our remote-first work environment and flexible paid time off. Even though we may not always be together, building connections and strengthening our company culture are always top priorities, and weekly video gatherings and quarterly in-person events ensure we do just that.

Our Thoughts

Why Marketing Solution Providers Should Offer “Bring Your Own Cloud” to Their Brand Customers

Why Marketing Solution Providers Should Offer “Bring Your Own Cloud” to Their Brand Customers

As a marketing solutions provider, you understand the unprecedented challenges your brand customers face: fragmented consumer data, stringent privacy regulations, and intense pressure to deliver measurable ROI while controlling costs. The technology infrastructure powering all of this shouldn’t add to these burdens – it should solve them.

At Aqfer, we’re committed to building and deploying innovations that ensure the future readiness of marketing data infrastructure. One of the most significant, transformative changes I predict is coming to our industry is a deployment model where your brand customers host applications and data in their own cloud accounts instead of vendor accounts. It’s called “Bring Your Own Cloud,” or BYOC – and it represents a major opportunity for you to deliver enhanced value.

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Benchmarks: How Aqfer Revolutionizes Enterprise Data Processing

Benchmarks: How Aqfer Revolutionizes Enterprise Data Processing

Data processing isn’t just a technical concern – it’s a strategic business advantage. When your competition is paying 5-34x more to process the same amount of data and waiting hours longer for results, who has the edge?

At Aqfer, we’re committed to helping organizations unlock the full potential of their marketing data through dramatically more efficient processing. Whether you’re struggling with high AWS bills, frustrated by slow or failed Spark jobs, or simply looking to do more with your existing data, our benchmarks demonstrate that there’s a better way forward.

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The AI Data Enablement Challenge for Marketing Organizations

The AI Data Enablement Challenge for Marketing Organizations

Organizations racing to implement AI solutions face a fundamental paradox: the very data infrastructure that has served them well for analytics and reporting is fundamentally misaligned with the requirements of modern AI applications. This creates what we call the “AI Data Readiness Gap” – a critical obstacle preventing companies from realizing agentic AI’s promised value.

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