Mia Chaszeyka — Senior Marketing Operations Manager → Product Manager
10 years of shipping campaigns and building data products, automation platforms, and governance systems across SaaS, open source, and non-profit — serving over 4 million users. Now bringing that ownership to product roles.
About
I’ve spent 10+ years in marketing operations — managing the platforms, data systems, and processes that marketing teams depend on to execute.
Most recently at The Linux Foundation, my team managed the marketing technology platform and data infrastructure for 50+ open source foundations, one enterprise HubSpot account with 13 distinct brands, 4.7 million contacts, 800+ forms, and 900+ audiences. We owned HubSpot Enterprise architecture, CRM configuration, and the data pipeline connecting Snowflake, Segment, and HubSpot. My scope spanned audience strategy, attribution and measurement, platform integrations, and the operational governance that held a complex multi-brand environment together at scale.
Before LF, I led marketing operations at SOCi (B2B SaaS) — owning CRM architecture, campaign infrastructure, and multi-touch attribution — and built cross-functional range at Maxio, WVC, and HARNESS Consulting across SaaS, global events, and agency operations.
Experience
Senior Manager, Marketing Operations
Managed the marketing technology platform and data infrastructure for 50+ open source foundations across one enterprise HubSpot account with 13 brands, 4.7M contacts, 800+ forms, and 900+ audiences. Owned HubSpot architecture, CRM configuration, data pipeline (Snowflake → Segment → HubSpot), audience segmentation, attribution, reporting, and governance at scale.
Senior Manager → Manager, Marketing Operations
Owned CRM architecture, campaign infrastructure, and multi-touch attribution. Built automation workflows, lead routing, and MQL-to-SQL handoff criteria for a B2B SaaS multi-location marketing platform.
Maxio · WVC · HARNESS Consulting
Marketing automation, database analysis, and full-service agency operations across B2B SaaS, global events (~14K attendees), and inbound marketing.
Education & Credentials
BS Marketing — UNLV Lee Business School
Résumés
Four versions — same experience, different lens.
Product Manager
Data & MarTech Products · AI-Powered Systems
Technical Program Manager
Data & Marketing Operations · MarTech Systems
Community Product Manager
Member Engagement & Platform Systems · Open Source
Senior Marketing Operations Manager
MarTech Platforms · Data Infrastructure · Governance at Scale
Why Product
For ten years I managed the platforms and data infrastructure that marketing teams depended on to execute. I owned the architecture, the data pipeline, the governance — everything behind the scenes that made campaigns, reporting, and audience strategy work at scale. That work taught me how complex systems fit together and what happens when they don’t.
But I kept bumping into the same ceiling. I could maintain the system, optimize the process, fix what was broken — but I couldn’t shape where the product was going. I want to be in the room where the roadmap gets decided. I want to contribute to how customers experience the product, not just how the internal tools support it.
What pulls me toward product is curiosity. I love design. I have deep respect for engineering and genuine interest in the technical decisions behind digital products. Marketing operations gave me systems thinking, data fluency, and cross-functional muscle. Product management is where I want to apply it.
How I Think
Managing a platform that served 50+ foundations meant every decision had downstream consequences across 13 brands, 800+ forms, and 900+ audiences. I couldn’t afford to guess. These are the principles I developed through that work.
Impact, urgency, and feasibility. I rank work by who it affects and what breaks if it doesn’t get done, then filter by constraint — deadline, team capacity, technical dependency. Not everything gets done at once, but the right things get done first.
Adoption over completion. A process nobody follows is a failure. I measure whether people actually use what I put in place — not whether I delivered it on time.
Start with what I can observe. Map the current state, build a framework from what exists, then iterate as edge cases surface. Get a working version in place, then tighten.
Decision-Making
Every decision in a multi-brand environment has downstream consequences. My job is to reduce the cost of being wrong — not to eliminate uncertainty.
Tradeoffs
I weigh short-term cost against long-term durability. The faster fix isn’t always the right one — I look at what scales, what breaks downstream, and what we’ll have to rebuild in six months if we take the shortcut.
Incomplete Data
When historical data doesn’t exist, I build a model from the closest comparable, run it, and recalibrate. A conservative estimate gives leadership something to plan against — waiting for perfect data gives them nothing.
Stakeholder Conflict
When teams disagree, I map each option against the actual requirements and constraints. Opinions are useful. Data resolves the argument. I document the tradeoff, make the call, and communicate the reasoning.
I’m targeting Product Manager and Associate PM roles where systems thinking, data fluency, and shipping discipline matter more than a traditional PM pedigree. If you’re hiring, let’s talk.