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About Jonathan Chang
Jonathan Chang is a senior product leader with 13 years of experience specializing in building and scaling AI/ML platforms, generative AI solutions, and enterprise SaaS products. He has a strong background in turning cutting-edge AI into business impact, with a focus on LLM and multi-agent systems. Chang has held senior product roles at companies like Seekr, Microblink, DataRobot, PwC, and Deloitte, and is also an entrepreneur, having founded Markit AI and served as an EIR at Boston University.
Education
Bachelor of Science (B.S.)
Bachelor of Science (B.S.) - Bioengineering and Biomedical Engineering

N/A
Work Experience

Senior Director of Product Management
Senior Director of Product Management

Director of Product Management
• Developed strategy, vision, and led the creation of a new flagship LLMops/MLOps platform (SeekrFlow) over a 100 person team to reduce enterprise overhead for developing and maintaining LLM based production solutions (data preparation, fine-tuning, inference model deployment, explainability, RAG, agentic workflows, and production monitoring), successfully launching the product after 6 months of development and generated $XXM of ARR through product license sales in the following 6 months.
• Introduced novel patent pending solutions (principle alignment - synthetic data generation through agentic workflows) to reduce training data preparation costs by 90% while producing model responses that are 3x as accurate.
• Opened up distribution sales channels by successfully partnering with Intel and enabling an in-platform self-service motion.
• Directly managed a team of 3 product managers and 3 product designers
• Transformed company culture from sales-led to product-led and revamped the product portfolio strategy—focusing on high-value propositions while reducing wasted investments—to drive long-term strategy, operational efficiencies, recurring product revenue, enhanced ROI, and stronger market competitiveness.

Product Lead
• Spearheaded the development and management of a machine vision and ML based B2B solution (BlinkID Verify) with an industry leading true acceptance and true rejection rates for fraudulent and real identity documents.
• Set the product vision for a cross-functional team including engineering, data science, design, sales, marketing, customer success, support, finance, and legal.
• Responsible for growing BlinkID Verify from an early stage Alpha product into a revenue generating solution in 6 months.
• Implemented robust data privacy and security measures to ensure compliance with industry regulations and protect sensitive data used in developing the solution.
• Mentored and coached junior product managers, fostering professional growth and skill development to take on more significant responsibilities within the organization.

Senior Product Manager
Led, launched, and managed AutoML features across various machine learning/data science domains including:
• NLP and Text AI
• Visual AI
• Unsupervised learning (anomaly detection and clustering)
• Prediction explanations for ML explainability
• Unstructured data consumption and use in ML

Product Lead
Disrupting and transforming the consulting and professional client services industry with digital products.
• Led the development of a B2B AI driven Insurance industry platform
• Led the development of two new B2B SaaS financial assessment and diagnostic products, including the definition of the product vision, go-to market strategy, and product roadmap with the goal of reducing 175k engagement hours and creation of additional $50m in profit.

Senior Consultant
• Managed the custom development and implementation of a web application, as the product manager, to optimize an organization’s hiring and recruiting process, reducing time to hire from ~150 – 550 days to 80 days.
• Facilitated scrum ceremonies (sprint planning, sprint review, and retrospectives) and backlog grooming sessions with Product Owners and client stakeholders
• Conducted demos and lead guided UAT sessions with end-users
• Facilitated various scrum teams, as the Scrum Master, exploring emerging technologies and developing mobile/web applications, including biometrics, a trade analytics platform, and a border crossing self-reporting application.
• Led agency-wide greenfield implementation of an enterprise service management technology solution (ITSM, ITOM, ITBM) and governance model – resulting in transparency and enabling analytical capabilities across IT assets
• Managed and negotiated contractual scope changes due to shifting client priorities
• Developed and executed on a multiyear product roadmap for a technology solution implementation
• Researched and developed business applications for blockchain and robotics process automation

Chief Product Officer
• Defined product segmentation and market strategies, including pricing, revenue and profit projections, and timetables for a machine learning weather analytics platform
• Designed and gathered product specifications to introduce product features for both a machine learning weather analytics platform and weather crowdsourcing mobile app (Ionic framework) based on customer and user feedback
• Composed 2 NSF grant proposals to continue product development

Product Manager (Senior)/UAT Lead, Strategic Delivery Division
• Gathered requirements and product specification, designed, and developed models and tools to calculate project UAT LOE, streamlining methodology across the organization and introducing consistency across all UAT projects
• Solicited user requirements to design a $1m technology upgrade project for a customer facing application and managed a team of 4 to execute through all phases of the waterfall SDLC
• Actively involved in a cross-organizational process improvement effort to re-examine bottlenecks with the goal of reducing the speed of code deployments into the market by 50%
• Managed 4 workstreams of 28 people to deliver a multimillion, multiyear technology platform (60+ systems) upgrade initiative (Single Security), including full E2E and system specific testing
• Provided user requirements and feedback to develop an enterprise-wide test automation suite with the goal of reducing testing cycles by 75%
• Developed business case to transform organizational staffing model to save $3m

President
• Designed and sourced physical consumer products, established supply chain operations, and distributed through an ecommerce business model
• Launched consumer product yielding a sale of 1000 units and $37k in revenue
• Designed and executed marketing strategies including SEO, targeted advertisement campaigns, and establishing product credibility with customer testimonials
• Performed A/B testing which led to increases in listing click through rates

Senior Advisory Consultant
• Served as a security engineer to ensure production systems are able to deal robustly with possible sources of disruption in accordance to NIST Special Publication 800-53
• Advised project teams in developing various applications throughout the Software Development Lifecycle (Waterfall and Agile methodology)
• Managed the software development lifecycle in implementing the IT service management tool, ServiceNow, including business process definition, workflow construction, requirements documentation, and Customer Acceptance Testing (CAT) with the ultimate goal of building a mature, enterprise-wide Governance, Risk, and Compliance (GRC) management system
o Developed and communicated strategies and processes regarding ServiceNow
system development to cross functional groups and management to ensure the
smooth delivery of the system
o Lead the ServiceNow Integration team to improve upon existing manual business
processes by automating the processes through ServiceNow development and
deployment
• Provided IT advisory services related to internal control, risk management, IT controls,
Sarbanes-Oxley (SOX) compliance, and Payment Card Industry (PCI) compliance
• Lead the internal project management team, utilizing partnerships with cross-functional
workstreams, to provide assessments of IT SOX GCC Controls and recommendations for
improving internal control procedures to IT management and leadership
• Represented the client in coordinating with external auditors in order to finalize external
audit findings, develop remediation strategies, and drive issues to closure
o Lead a team to address and manage key remediation efforts for all Office of
Inspector General (OIG) IT audit findings
o Lead efforts to analyze completed and outstanding audit findings in response to an
IT security breach to ultimately prepare the CIO in a Congressional hearing

Sales Coordinator
Coordinated the outgoing products to the corresponding purchase order. Maintained product stock and managed incoming stock shipments.

Quality Control Analyst
Operated Thermo Scientific TruScan Raman Sepctrometry analyzer to validate the use of a new method on analyzing raw materials. Collected and analyzed data from Anatel TOC analyzers. Conducted environmental monitoring of Synagis Manufacturing Plant. Sampled WFI and purified water systems, clean steam, and compressed gas. Tested water and product samples in Conductivity and Total Organic Carbon. Operated Human Machine Interfaces (HMI), Sievers Total Organic Carbon. Worked in Cleanroom environments up to ISO 9 Level.

Process Control Clerk
Documented existing data, obsolete data, entered data and deficiencies, verifying with facilities, technicians, and vendors. Used technical documentation to identify maintenance procedures, bills of materials, and system components.
Professional Highlights
13 years of experience building and scaling AI/ML platforms and generative AI solutions.
Proven track record in launching AI/ML products that drive adoption and revenue across multiple industries.
Expertise in building enterprise B2B platforms for developers, data scientists, and business users.
Experience in leading cross-functional teams and partnering with C-level executives on product strategy.
Core Competencies
Focusing on building reliable, transparent, and scalable AI systems, with a deep understanding of the LLM and Generative AI landscape.
LLMops/MLOps Platform Development
Generative AI Solutions
Agents & Multi-Agent Systems
Observability & Explainability
Structured Outputs & Integrations
Data Generation & Fine-Tuning Pipelines
Product Vision & Strategy
Go-to-Market Strategy
Product Roadmap Definition
Cross-functional Team Leadership
Product-Led Growth (PLG)
NLP and Text AI
Visual AI
Unsupervised Learning (Anomaly Detection)
Prediction Explanations (ML Explainability)
Unstructured Data Consumption
Content Focus
Jonathan Chang's content focuses on the intersection of technology, entrepreneurship, and personal optimization, with a strong emphasis on the Boston startup ecosystem. His posts frequently cover local tech networking events, fundraising stories, and tools for creators and founders.
Artificial Intelligence (AI)
Machine Learning
Generative AI
Product Management
Entrepreneurship
Startups
Founders
Boston Tech Events
Networking
Fundraising
Creator Tools
Recent Posts
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