Sr. Director of Platform Software

Newark, NJ
matt@manske.me
+1 (415) 562 6753
@mattmanske

Experienced software director with a strong background in leading interdisciplinary teams in application development and R&D. Skilled in driving automation, platform growth, and using Agile methods. Expertise in managing in-house and offshore teams to deliver effective solutions across technologies and industries. Focused on operational excellence and team development.

Skills

  • MANAGEMENT
  • AGILE
  • MENTORSHIP
  • ASSESSMENTS
  • COLLABORATION
  • STRATEGIC PLANNING
MANAGEMENT AGILE MENTORSHIP ASSESSMENTS COLLABORATION STRATEGIC PLANNING
TECHNICAL ARCHITECTURE DESIGN PATTERNS SCALING TESTING OPERATIONAL METRICS
PRODUCT RAPID PROTOTYPING USER VALIDATION DOCUMENTATION A/B TESTING

Employment

SENIOR DIRECTOR, PLATFORM SOFTWARE

Company: divergent3d.com
Directed several small teams of developers, QA & scientists in various research & development projects while managing a small team of in-house developers.

SENIOR PLATFORM MANAGER

Company: ProdPerfect
Spearheaded the strategic planning, growth, and development of all internal end-to-end test suite creation and reporting.

Miro Health

Website: mirohealth.com
Date: Jan 2019 (7 mo)
Developed a suite of HIPAA compliant applications to assist in clinical neurological, psychiatric, & cognitive assessments. Managed an offshore team & assisted in hiring & onboarding in-house developers.

Polymathic

ACQUIRED BY DEVMYND
Website: manske.me/polymathic
Date: Oct 2015 (5 yr, 4 mo)
Built and led a product team of developers and support staff, driving product research and development, code architecture, and project management decisions for numerous startup and intrapreneurial ventures.

Education

University of Wisconsin – Madison

Date: May 2010

Johns Hopkins University

Date: May 2006

Software Patents

Software interface for generating and optimizing vertical-cell robotic assembly sequences

Date: Aug 2024 (Granted)
A software package that mimics assembly floor hand-off patterns & real-time sequential decision making to accurately generate, visualize and replay assembly scenarios. In addition to the simulations, the software also utilizes a modified genetic algorithm to optimize for things like completion time and robot utilization. The package employs a unidirectional, flux-based data propagation pattern that ensures predictable state mutation to avoid race conditions and allows for time-travel/replay functionality.

(more projects & details available at https://manske.me).