Mary Taylor Email & Phone Number
@usertesting.com
5 phones found area 910, 216, and 919
LinkedIn matched
Who is Mary Taylor? Overview
A concise factual answer block for searchers comparing this professional profile.
Mary Taylor is listed as AI Product Strategist | Driving Business Transformation through AI Integration at UserTesting, based in Raleigh, North Carolina, United States. AeroLeads shows a work email signal at usertesting.com, phone signal with area code 910, 216, 919, and a matched LinkedIn profile for Mary Taylor.
Mary Taylor previously worked as Staff Product Manager, AI at Usertesting and Founder at Stealth Startup. Mary Taylor holds Master Of Science - Ms, Data Science With Specialization In Artificial Intelligence from Northwestern University.
Email format at UserTesting
This section adds company-level context without repeating Mary Taylor's masked contact details.
AeroLeads found 1 current-domain work email signal for Mary Taylor. Compare company email patterns before reaching out.
About Mary Taylor
Multi-talented Product Leader with experience bridging cross-functional teams to plan, build, launch, and manage products using a collaborative spirit. Expertise in developing long-term product visions while unifying teams around day-to-day execution to create products that users love with a focus on ROI.
Listed skills include Python, Machine Learning, Statistics, Natural Language Processing, and 56 others.
Mary Taylor's current company
Company context helps verify the profile and gives searchers a useful next step.
Mary Taylor work experience
A career timeline built from the work history available for this profile.
Founder
Current
Founder, Head Of Product Strategy And Development
CurrentI help software companies effortlessly and ethically create AI products that users love and that scale their business.
Senior Product Manager, Artificial Intelligence
• Leading Lisa product (an AI Leasing Assistant) and AI Leasing domain product strategy by empowering teams to focus on prioritized problems. Inspired action across groups using techniques of strategy documents, vision sprints, OKRs, north star metrics, user research, tech talks, and continued communication to empower teams.• Mentored Product Managers and aspiring Product Managers on product vision, team culture, user research, and process facilitation techniques resulting in their promotions and hiring.• Planning and hosting vision sprints and brainstorming across functional teams in product management, engineering, user research, design, marketing, customer support, and directors. Implemented check-ins and documentation to communicate progress on team-discovered outcomes.• Worked with product marketing on competitive analysis, defining Ideal Customer Profiles (ICP), product positioning, and product release plans. Presented key launches at customer conferences.• Developing product visions, OKRs, north star metrics, and roadmaps for Lisa product and Leasing domain products; implemented these through collaborative team sessions and regular syncs throughout the year.• Released self-guided and automated user onboarding for Lisa product resulting in a 2-week reduction in onboarding time and reduced product onboarding churn from 20% to 3%.• Coordinating efforts to improve product margins such as working with machine learning engineers to improve chatbot automation from 63% to 81% and implementing features for outsourced operators.
Senior Product Manager, Artificial Intelligence
• Within the first month, quickly brought strategy and momentum to a product that had been in an impasse for 2 years by delivering a roadmap, product value proposition, and beta planning.• Collaborated with VPs to write necessary roles and job postings to build the AI, Innovation, and Product Teams. Continued growth by interviewing product managers, data scientists, and data analysts.• Managed the AI roadmap based on needs and projects of cross-functional teams. Delivered the updates to C-Suite and VPs while delegating tasks to respective teams.• Launched several data acquisition projects based on the roadmap by collaborating with legal, finance, sales, CX, Business Development, ecosystem partners, and other product teams.• Collaborated with Sr. Director of Venture and Product Marketing to develop product pricing based on the value returned to users and related technical COGS.• Presented AI product direction, development, and progress during quarterly board meetings and investor meetings.
Data Science And Data Analytics Mentor
• Guiding and collaborating with mentees for their Capstone projects, from defining the problem statement to completion of models and analysis.• Guiding and supporting students in deploying and leveraging various languages, packages, applications, frameworks, and cloud computing platforms.• Supporting students as they deal with day to day difficulties such as errors, stack traces, difficulties ingesting/cleaning data, code efficiency, and corresponding decisions.• Assessing code, documents, and decks to improve students’ abilities to not only solve the technical problems but also to communicate their results for a mixed audience• Preparing students to attend interviews, give talks and presentations, and network through meetups, summits, LinkedIn, etc.• Holding weekly calls and keeping open lines of communication with students to motivate/inspire great work ethic and high standards
Data Scientist, Product Development
• Managing the Data Science roadmap based on needs and projects of cross-functional teams. Delivering the updates to VP of Data & Analytics and delegating tasks to respective teams.• Conducting ad-hoc analysis and building interactive dashboards in Tableau, Power-BI, and Oracle OIBEE to provide business insights and push for use of metrics that drive business value. • Writing complex queries across multiple source systems such as Oracle, Microsoft SQL Server, and RedShift to answer questions with data that was originally not unified.• Generated a hierarchical clustering model to find correlations between contract line items within product lines to generate common SKUs.• Interviewing internal stakeholders and reviewing historical in-house application code bases to create Process Flow Diagrams across several teams such as Sales, Contracts & Proposals, Finance, Project Management, and Product Development. Process Flow Diagrams have and are in current use for data quality optimization, automation discovery, and process improvements.• Quickly gained SME level understanding of primary data resources such as Salesforce, in-house application databases, and financial data. • Working across diverse teams to build and continually update the Bioclinica Data Dictionary for a unified vocabulary when presenting data findings.• Collaborating and providing input on technical architecture, reporting, and warehousing solutions so that application fits the needs of all Bioclinica teams and products.• Conducted interviews to hire Data Directors, Scrum Masters, and Analysts. Generating documentation, meetings, and materials for team member onboardings.
Product Data Analyst
• Performed data analysis, modeling, and visualization with Python, SQL, JavaScript, APIs, Jupyter Notebooks, and Google Sheets.• Designed and analyzed experiments, conducted A/B testing, built reports, and used machine learning to identify areas for improvement on the Red Hat Customer Portal SaaS application.• Generated python code and documentation for A/B testing procedures and best practices based on unique scenarios for the Red Hat Customer Portal. Documentation was then shared and used by other Red Hat web application teams.• Used data from several internal and external resources to generate a prioritized A/B testing roadmap.• Designed technical architecture that allowed for user behavior tracking of non-internet connected training booths during the in-person Red Hat Summit conference. Then reported on data captured to understand how users navigated through Linux based training modules for improvements to training content and materials.• Conducted POC for user testing benefits by creating a user-walkthrough script which was applied to 5 users as well as several 5-second tests on 30 users. Recordings, notes, and analyses were gathered and shared with the whole company which resulted in approval for user research budget to use on the Red Hat Customer Portal SaaS application. Results, budget details, and application details were then shared with Design and UX teams.• Documented procedures and contacts for gaining additional customers for user testing in-person and remotely.• Coordinated analytic projects and presented analysis across cross-functional teams.• Implemented and improved the use of Pendo (a user behavior tracking application) throughout the Red Hat Customer Portal as well as several other Red Hat web applications. Became the go-to SME for Pendo and proper implementation of web analytics tracking. • Trained and aided other analysts in the use of third-party APIs for reporting in Tableau, Qlik, GoogleSheets, and Jupyter Notebooks.
Optimization Analyst
• Increased revenue by 5%-20% for several e-commerce websites by designing and building A/B tests, conducting remote user testing, and completing user behavior data analysis.• Designed and implemented tracking strategies and metric creation to understand customer behavior. Data was then used in prioritization of product changes, A/B tests, and ROI analysis.• Designed and conducted user testing walkthroughs for each client's web application. Documented user recordings, typed notes, generated pro/con analysis, and generated a summarized user research video to present findings to clients in a friendly easy to understand manner.• Organized client meetings, created documentation, and coordinated all tasks and timeline expectations. • Created weekly, monthly, and yearly business reporting individually and across business services. Refined reporting based on NPS results.• Trained new hires on network analysis, text mining, AWS, time analysis, and web crawling techniques; also taught others data analysis skills by creating user-friendly documentation.• Completing technical audits that outlined network issues, load time optimization, technical architecture issues, information architecture issues, content, and structured data.• Tracked and analyzed web application ranking within search engines (with a focus on Google) for an improved organic user search experience.• Performed text mining, sentiment analysis, word count density analysis, and analyzed readability level for websites and emails.
Technical Project/Product Manager
• Created and maintained project timelines and metrics to present to CEO and directors on a regular basis.• Defining and managing product requirements and user stories based on client feedback and research. Product requirements were entered and managed within JIRA as Epics, Stories, Spikes, Improvements, Bugs, and Tasks.• Coordinated communication and timelines across CEO, clients, stakeholders, scientists, developers, and designers; while maintaining team rapport.• Managed a diverse set of products such as websites, mobile apps, software, hardware, and LMSs.• Oversaw and coordinated deployments on live and testing environments by updating branches on Github, managing pull requests, code review, deployment with Capistrano, and database migrations.• Coordinated decision-making across agile projects during scrums, retrospectives, and product planning.• Aided team with code development in Ruby on Rails and JavaScript when meeting tight deadlines.• Identified a lack of data for product and business design decisions. Pioneered Webonise’s use of research processes to make design decisions based on data through A/B testing, survey creation, analyzing web analytics, and conducting sentiment analysis on social media.• Analyzed technical requirements and team composition to build project tracking workflowswithin JIRA. Trained other project managers and VPs on workflow use and creation.• Experience with diverse projects using Hardware-Software integration, third-party APIs, GTFS data, Drupal, RoR, GIS data, global teams, JIRA, Waterfall, and Agile software lifecycles.
Research Assistant
• Assisted in collection, analysis, and established needs of project to ensure insightful solutions and equipment was purchased/used, while keeping records of incoming lab supplies and equipment. • Analyzed light spectra, aberration, and transmission while testing and assisting in optical design and data analysis (primarily 3-D data) for LuCIDD, a specialized confocal microscope, with custom software packages, LabView and statistical techniques (such as simulations, pattern recognition and time series analysis). • Performed alignment of optical components (within micro and nanometer range) while optimizing optical power throughput, improving stability, and reducing scattering light.
Colleagues at UserTesting
Other employees you can reach at usertesting.com. View company contacts →
Sabrina Buckle
Colleague at UsertestingHarrogate, England, United Kingdom
View →
NZ
Nicki Zetto
Colleague at UsertestingPirot, Centralna Srbija, Serbia
View →
CD
Caitlin Davie
Colleague at UsertestingGalashiels, Scotland, United Kingdom
View →
CM
Cory Martin
Colleague at UsertestingEdinburgh, Scotland, United Kingdom
View →
DS
David Sánchez Mendoza
Colleague at UsertestingBarcelona, Catalonia, Spain
View →
LR
Luke Robertson
Colleague at UsertestingSan Francisco Bay Area, United States
View →
SP
Samar Paul
Colleague at UsertestingRajarhat, West Bengal, India
View →
MC
Monica Chavarriaga
Colleague at UsertestingVancouver, British Columbia, Canada
View →
NW
Nancy Wermer
Colleague at UsertestingToledo, Ohio, United States
View →
EB
Evan Bennett
Colleague at UsertestingAtlanta, Georgia, United States
View →
Mary Taylor education
Master Of Science - Ms, Data Science With Specialization In Artificial Intelligence
Bachelor'S Of Science (Bs), Physics With Minor In Mathematics
Frequently asked questions about Mary Taylor
Quick answers generated from the profile data available on this page.
What company does Mary Taylor work for?
Mary Taylor works for UserTesting.
What is Mary Taylor's role at UserTesting?
Mary Taylor is listed as AI Product Strategist | Driving Business Transformation through AI Integration at UserTesting.
What is Mary Taylor's email address?
AeroLeads has found 1 work email signal at @usertesting.com for Mary Taylor at UserTesting.
What is Mary Taylor's phone number?
AeroLeads has found 5 phone signal(s) with area code 910, 216, 919 for Mary Taylor at UserTesting.
Where is Mary Taylor based?
Mary Taylor is based in Raleigh, North Carolina, United States while working with UserTesting.
What companies has Mary Taylor worked for?
Mary Taylor has worked for Usertesting, Stealth Startup, Productshift, Appfolio, Inc., and Movable Ink.
Who are Mary Taylor's colleagues at UserTesting?
Mary Taylor's colleagues at UserTesting include Sabrina Buckle, Nicki Zetto, Caitlin Davie, Cory Martin, and David Sánchez Mendoza.
How can I contact Mary Taylor?
You can use AeroLeads to view verified contact signals for Mary Taylor at UserTesting, including work email, phone, and LinkedIn data when available.
What schools did Mary Taylor attend?
Mary Taylor holds Master Of Science - Ms, Data Science With Specialization In Artificial Intelligence from Northwestern University.
What skills is Mary Taylor known for?
Mary Taylor is listed with skills including Python, Machine Learning, Statistics, Natural Language Processing, R, Nosql, Predictive Modeling, and Project Management.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial