Tony Mikityuk

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About

Program Manager and customer-facing professional with experience across SaaS sales, healthcare, and AI-enabled operations. Background includes driving pipeline, managing customer relationships, supporting complex stakeholder engagements, and improving AI/LLM quality.

MS in Marketing Analytics from Johns Hopkins.

Now building agentic engineering projects and AI-enabled workflows that connect commercial execution with program management discipline. The same skill set used to build this site and the projects featured here.

Skills

Program / Project Leadership

Cross-functional coordination Stakeholder management Timeline & deliverable tracking Risk mitigation

Customer & Stakeholder Management

Relationship Management Stakeholder Engagement Expectation Setting Issue Resolution

GTM / Client-Facing Experience

Solution positioning Consultative Sales Revenue Growth Voice of Customer

Analytics & Structured Thinking

Data-Driven Analysis Performance Measurement KPI Development & Tracking Analytical Problem-Solving Strategic Insight Generation

AI Workflow / Agentic Tooling

Documentation-Driven Development Agentic Workflow Design AI Toolchain Orchestration Model Evaluation & QA Modular Architecture Planning Rapid AI-Assisted Prototyping Human-in-the-Loop Development Iterative Product Development

Education

Johns Hopkins University

MS in Marketing Analytics

Dean's Scholarship · 3.8 GPA · 2020-2023

  • Statistical Analysis
  • Consumer Behavior
  • Social Media Analytics
  • Branding Case (Gong.io): created recruiting campaign for Gong.io/careers

Experience

AI Model Training - Marketing

Outlier / Scale AI

Nov 2023 - Sep 2024

  • Assessed AI-generated responses for factual accuracy, reasoning quality, and relevance across marketing and business strategy
  • Created domain-specific prompts covering GTM strategy, competitive analysis, and executive communication
  • Evaluated and ranked model outputs, annotating reasoning errors to support RLHF workflows

Territory Sales Manager

Allegiance Medical

Jul 2021 - Sep 2023

  • Owned $3-5M annual territory across spine & pain management accounts in WA and OR
  • Served as lead technical specialist for 100+ procedures per year, driving repeat utilization
  • Delivered 50+ physician and hospital demos, influencing adoption through technical credibility

Product Consultant

Monday.com

Jan 2020 - Mar 2021

  • Converted inbound free-trial users into 25-35 SQLs/month across mid-market and enterprise accounts
  • Drove 35-45% PQL-to-opportunity conversion through consultative discovery and tailored demos
  • Sourced $1.5M+ in annualized, AE-accepted pipeline through inbound PQL qualification

Featured Projects

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Looking Forward

I'm open to program management, customer success, and AI-enabled project opportunities. Let's connect and explore how I can contribute to your team.

Contact Information

mikityuk.tony@gmail.com LinkedIn Profile Download Resume

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Frequently Asked Questions

  • I'm targeting program management, AI-enabled operations, and agentic workflow builder roles. I'm most interested in positions where I can combine program thinking with hands-on AI tooling, translating business needs into practical systems. Product-adjacent and customer success/enablement roles are also a strong fit.

  • I'm based in Bothell, WA and open to remote, hybrid, or on-site opportunities in the Seattle area. I thrive in collaborative environments where I can work across teams: engineering, product, sales, and customers. Available for full-time roles and open to contract/consulting for the right project.

  • I come from a business and operations background, not a CS degree. My technical skills are growing intentionally. I build with Python, LangChain, and modern AI APIs, and I think about systems in terms of workflows, stakeholders, and outcomes. I've evaluated LLM outputs professionally at Scale AI and I'm building agentic tools to deepen that capability.

  • I lead with clarity and structure. I ask questions, document decisions, and keep everyone aligned. I'm comfortable managing up, down, and across, whether that's updating executives, coordinating with engineers, or interfacing directly with customers.

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