Robert Hryniewicz

Director of Product Marketing | AI @ Cloudera

About

I started off thinking I'd change the world by building self-driving robots (remember DARPA 2007? Yup, that was me and my Case teammates fumbling around with robots before they were cool and mainstream). After countless late nights coding, questionable amounts of caffeine, and even making robots pretend they had emotions (they never cried, promise), I stumbled upon my real strength: transforming complex AI concepts into clear, compelling stories that make sense -- and sometimes even sell.Eventually, I shifted gears from hands-on engineering to evangelizing and product marketing. At Cloudera, I've honed the art of translating dense technical jargon into accessible, engaging strategies that resonate with everyone from C-suite executives to intrigued newcomers.My mission: connect groundbreaking AI tech with real-world business problems, minus the headache-inducing jargon. I bridge the gap between impressive tech specs and what customers truly care about. And yes, I also get products out into the wild.

Country

United States

City

Lakewood

Industry

Information Technology & Services

Skill

Entrepreneurship, Leadership, Strategy, Machine Intelligence, Artificial Intelligence, Machine Learning, Robotics, Big Data, Enterprise Software

Experience

Director of Product Marketing | AI

Cloudera

2023-1 - Present · 3 yrs 9 mos

Driving product marketing / GTM for Cloudera’s AI/ML products & services.

Director of Product Marketing | DataFlow & Streaming + Data Engineering

Cloudera

2022-2 - 2023-1 · 1 yr

A technology expert with a broad experience working with data, IoT, analytics, and machine learning products. I'm in charge of product marketing for the Data in Motion portfolio of streaming and data flow services. My focus is on helping global organizations solve the first mile problem of ingesting and moving streaming data across an enterprise to enable real-time insights.

Technical Marketing

Cloudera

2019-1 - 2022-2 · 3 yrs 2 mos

Santa Clara, CA

Directing, script writing, and MC'ing Cloudera’s technical conference series, Cloudera Now, where we cover the entire data lifecycle, from edge to AI: streaming, reporting, machine learning and more. We focus on short demo sessions highlighting each product/experience and TED style talks that connect technology with business use cases. For every conference we craft unique stories to help our audience understand the full suite of capabilities of our data platform, the Cloudera Platform, and highlight the value it brings to businesses -- allowing them to easily build & quickly deploy products for any data driven business use case.

AI & Data Engineering Evangelist | Sr. Manager

Hortonworks

2016-1 - 2019-1 · 3 yrs 1 mo

HQ - 5470 Great America Pkwy, Santa Clara, CA 95054

⊡ Delivered 30+ sessions on AI/ML & data engineering @ DataWorks, Hadoop Summit et al. ⊡ Advised customers & community on how to train and deploy AI/ML models in production ⊡ Ran strategy, thought leadership, enablement sessions & crash courses on data science ⊡ Developed use case specific AI/ML model prototypes & produced related assets (tutorials, videos, webinars, blogs, articles and white papers) ⊡ Drove developer newsletter ⊡ Ran marketing analytics

Data Engineer | Consultant

TiVo

2015-10 - 2016-1 · 4 mos

Built an analytics tool to inform UX redesign of the TiVo interface. You can find my talk here: https://www.youtube.com/watch?v=jrTh_nKGDhM

CTO

Authentise

2013-6 - 2014-10 · 1 yr 5 mos

Moffett Field, CA

Led a small team to develop and launch an MVP for secure 3D print streaming, monitoring & analytics.

Sr. Software Engineer

Cisco

2012-2 - 2013-6 · 1 yr 5 mos

San Jose, CA

Added a few upgrades to Cisco's WiFi controllers (IPv4->IPv6, AES-128->AES-256 etc.)

Sr. Software Engineer

NASA Glenn Research Center

2009-8 - 2010-10 · 1 yr 3 mos

Built an app to analyze & predict satellite cryocooler system's lifespan -- built it around a predictive model provided by another team.

Sr. Software Engineer

Concurrent Technology Inc.

2007-8 - 2009-6 · 1 yr 11 mos

Developed key components of a recommendation system for targeted Video On Demand (VOD) ads based on viewer profile -- similar to targeted YouTube ads today.