Executive ProfileExperienced business executive with demonstrated success in managing P L and growing new business through innovative growth strategies worldwide. Excellent ability to develop relationships and strategic alliances with organization leaders to align, support and grow business initiatives. Outstanding presentation, communication and cross-cultural team management skills. Highly results-oriented leader with an entrepreneurial attitude. Skill Highlights2010 - 2011 Shunra Software, Philadelphia, PADirector, SalesResponsibilitiesEstablished sales in high value verticals and potential acquirers.HighlightsInitiated relationship and closed business with key teams at major networking and consumer software technology firms.Identified and shepherded an OEM relationship with Cisco.2008 - 2010 dynaTrace Software, Linz, Austria Lexington, MA (sold to Compuware)Director, West SalesResponsibilitiesEstablished direct sales in western US.HighlightsInitiated and closed opportunities with a diverse range of enterprise and SaaS businesses, including Bank of America, Microsoft, LinkedIn, Salesforce, Zappos.2003 - 2007 Network Physics Inc., Mountain View, CA (sold to OPNET)VP, SalesResponsibilitiesDeveloped and managed international sales and US channel sales.HighlightsEstablished European presence and closed first sales in major markets.Recruited and managed an EMEA sales team and built a profitable dynamic EMEA business.Recruited and managed a US channels team and built a strong VAR community in major US metro areas.2000 -2002 NativeMinds, Inc., San Francisco, CA (sold to Verity)VP, US West InternationalResponsibilitiesBuilt and managed a sales organization.HighlightsSold first major US deals and then built and drove a sales organization.Opened EMEA HQ in London.1996--2000 Tivoli Systems IBM, San Jose, CA (sold to IBM)Mid-Market Sales Director, 1996Enterprise Channels Director, 1997-1998Application Service Providers Sales Director, 1999-2000ResponsibilitiesDrove revenue in new markets.HighlightsExtensive deal making in large and mid-sized enterprises on all continents, direct and through systems integrators and consulting houses.Hired, trained and managed direct, inside and channels teams to drive business.Selected for executive sales management program at IBM.Small business developmentLeadership communication skillsBusiness operations organizationClient account managementBudgeting expertiseNegotiations expertCustomer-orientedBusiness operations organizationBudgeting expertiseSelf-motivated Professional ExperienceVP, Business Development, Information Mgmt Governance BU, HPE Software,01 2015-CurrentCo-Op Financial Services Jpl,TX,Responsible for developing and executing on business growth initiatives for the BU software portfolio across HPE divisions and strategic partners.Managed the day-to-day tactical and long-term strategic activities within the business.Compiled and synthesized relevant business data such as financials, performance, AUM and headcount forecasts.Drafted business plans, budgets and quarterly and semi-annual business reviews.Offered feedback to executive-level management on the effectiveness of strategies, selling programs and initiatives.VP, Information Mgmt SaaS Business,09 2012-2015Hewlett Packard City,STATE,Managed 85M SaaS Information Management business.Maximized company revenue through initiation of cross-sell and upsell sales programs.Identified key growth opportunities for the business through large client business reviews, data mgmt and disposition strategies, digitization initiatives.Conducted cost, schedule, contract performance, variance and risk analysis.Compiled and synthesized relevant business data such as financials, performance, AUM and headcount forecasts.Maintained weekly forecast and financial performance reports.Drafted business plans, budgets and quarterly and semi-annual business reviews.Offered feedback to executive-level management on the effectiveness of strategies, selling programs and initiatives.VP Strategic Sales,09 2011-11 2012Hewlett Packard City,STATE,Managed development and market entry of new consumer data backup service available on HP PCs.Drove all aspects of the business, from product spec, design and development to testing, marketing, branding, costing, forecasting and sales channels. EducationBA Sociology,Expected in-Bates College-Lewiston,MEGPA Status-SociologyJohns Hopkins Nitze School of Advanced Intl Studies MA, Intl Economics US Foreign Policy International Economics,Expected in-Johns Hopkins University-Washington,DCGPA Status- Skills  SEP  Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Machine Learning Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what s to come. We re the people helping to define the metaverse. We may not have all the answers. But together, we re getting closer. Software Engineer, Machine Learning - Reality Labs Responsibilities Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the trade-offs of already shipped featuresML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex onlineproduction performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering team Minimum Qualifications 6 years of experience in software engineering, or a relevant field or 4 years of experience if you have a PhD2 years of experience in one or more of the following areas machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in CC and Java, or experience with scripting languages such as Python, Perl, PHP, andor shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsBachelor s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Preferred Qualifications Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applications Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. 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