• HubSpot was founded in 2006 by CEO Brian Halligan and CTO Dharmesh Shah and is based in Cambridge, MA across the street from MIT, where the company was conceived.
• Currently, HubSpot has 4,000 customers
• General Catalyst provided $5 million in VC funding in 2007.
• Matrix Partners provided $12 million in VC funding in 2008.
• Venture Scale Partners (with participation from General Catalyst & Matrix Partners) provided $16 million in VC funding in 2009.

About Amanda Lucía Iglesias – Inbound Marketing Consultant, Enterprise Services Team

Amanda Lucía Iglesias is an Inbound Marketing Consultant at HubSpot, delivering HubSpot Professional & Enterprise Customized 1:1 Training. As an Inbound Marketing Consultant, she helps her customers achieve high levels of success with Inbound Marketing and the HubSpot Software.

Prior to joining the Inbound Marketing Consultant team, Amanda was a member of the Technical Support team. In her role as a Technical Support Representative, she worked closely with customers to troubleshoot software issues and reduce friction.

Amanda is a graduate of Babson College, with a concentration in Finance. Prior to joining HubSpot, she received her Master’s of Science in Management from the F.W. Olin Graduate School of Babson College as part of the Global Entrepreneurship Program, a multi-national Master’s program specializing in global entrepreneurship. The curriculum combined theoretical coursework and local management consulting in each of the program’s three locations: France, China, and the U.S. During this time, she gained valuable experience in business and product development strategy, including supply-chain efficiency. She also gained unique insight into global markets, such as the emerging online marketing and SEO industry in Europe and Asia.

In June 2011, HubSpot announced its acquisition of Marketing Automation Company Performable, and Amanda was selected to join the Enterprise Consulting team to work with the Performable customers to define their marketing strategy, including more advanced lead generation strategies and behavior-based lead nurturing. In the process, she helped develop the training curriculum for the Consulting team.

Amanda is a fully bilingual Miami, FL native with Cuban-Argentinean heritage who is highly unlikely to adjust to the brutal Northeastern weather. Outside of HubSpot, Amanda advises the Zeta Alpha Chapter of Kappa Kappa Gamma at Babson College with their Public Relations strategy.

March 23rd FRI 4PM – Site Visit – Loku

This is a very unique and exciting opportunity to visit one of Boston’s hottest start-ups. Please make sure to RSVP here (and make sure you can make it), as space is very limited.

Some background on Locu…

Founded by MIT graduates and computer science researchers, Locu is creating the world’s largest semantically-annotated repository of real-time small-business data. Locu promises to power the next generation of local search, enable developers to build rich apps around local data like restaurant menus and help local businesses better manage their online presence

Locu is building technologies to efficiently digitize real-world content, through a novel combination of document analysis, machine learning and online human computation workflows. The resulting structured semantically annotated data sets will be made available through a set of APIs.

Locu’s patent-pending approach improves upon prior machine learning techniques, by introducing additional classification layers that are inspired by human pattern-recognition. Building upon classification passes that extract contextual information, their approach looks for hints that manifest in visual artifacts in the document that indicate high-level semantic categorization.

Another key component of Locu’s classification process revolves around preparing the document such that it can be augmented and touched up by ‘human computation’ provided by Amazon Mechanical Turk or oDesk. The burgeoning field of human computation represent a shift in traditional computer science processes by providing a framework for outsourcing certain computational steps to humans. This enables computer systems to solve problems that are otherwise computationally hard using algorithms alone. In this proposed system, misclassifications derived from the machine learning component are easy to fix by human classification workers. By recording any changes performed by the human workers, the efficacy of the classification can be improved by creating an active feedback loop to Locu’s classification engine such that it continuously learns from past mistakes.

March 15th – Deloitte Women’s Initiative – Careers in Technology Counseling