Anna E. Molosky has a proven track record of successfully driving digital transformations and growing revenue by creating and executing long-term strategic visions and overseeing the end-to-end commercialization of product portfolios. With over 13 years of experience, she is an unparalleled cross-functional strategic product management and growth leader who uncovers lucrative new market opportunities and monetizes unmet customer needs by leveraging cutting-edge technologies including Artificial Intelligence (AI), Machine Learning (ML), and Generative Algorithms. Ms. Molosky is a results-driven and forward-thinking senior leader with extensive experience building credibility with globally dispersed teams—across the United States, United Kingdom, Germany, Japan, China, Singapore, India, Egypt, Brazil, and Israel—to efficiently achieve substantive organization-wide goals.
Currently at Amazon Web Services, Ms. Molosky has thus far driven significant recurring revenue growth, surpassing $520mm by building and monetizing new digital product suites. Simultaneously, she manages high-profile government contracts with a total value of over $55Bn, and growing. Throughout Ms. Molosky’s storied career, she has consistently leveraged her global professional network to build high-performance multinational teams. A superior written and verbal communicator, Ms. Molosky effortlessly secures C-suite buy-in and funding for her innovative solutions. Her inclusive, hands-on leadership inspires and motivates her teams to deliver hyperscale digital initiatives ahead of schedule and under budget. She has a proven record of turning product vision into profit and building scalable digital solutions for the most complex organizational challenges in high-visibility roles and fast-paced environments.

SELECTED CLIENT RELATIONSHIPS
Products
Goldman Sachs Marquee Investment Platform
Marquee is an integrated suite of products and services to support the end-to-end entire investment lifecycle. It is Goldman Sachs’ digital marketplace for institutional investors, delivering unparalleled, cross-asset access to global markets and portfolio analytics tools that empower investors to optimize their cross-asset portfolios for maximum returns.
Visit Product WebsiteJuniper Mist AI
Mist AI uses a combination of artificial intelligence, machine learning, and data science techniques to optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains. With Mist AI, operators save time and money with faster problem resolution and fewer onsite visits. Users benefit from a network infrastructure that is more predictable, reliable, and measurable.
Visit Product WebsiteVenn by Two Sigma Investment Platform
Venn applies Two Sigma’s expertise in research, data science, and technology to modernize the analytics experience and help institutional investors embrace a quantitative approach to multi-asset portfolio risk and investment decision making.
Visit Product WebsiteGoldman Sachs Marquee Credit & Carbon Analytics
Marquee’s Credit Ecosystem empowers institutional credit investors to 1) customize their trades and construct their portfolio with a suite of pre-trade analytics, 2) create custom credit basket products, 3) unlock credit-focused market insights, commentary, and dashboards from across Goldman Sachs, and 4) test and purchase credit datasets.
Visit Product WebsiteRESULTS
Revenue Growth
Strategic Business Creation & Expansion
Product Pricing Strategy
Digital Transformation
Go-to-Market Efficiency
User Acquisition & Conversion
MEET ANNA
Education

Bachelor of Science
Information Systems + Human Computer Interaction
U.S. News and World Report
#1 Information Systems Program Worldwide
#1 Quantitative Analysis Program Worldwide
Professional Certifications
Registered General Securities Representative
Issued by: The Financial Industry Regulatory Authority (FINRA)
Credential ID: CRD#: 6835514
Series 7TO – General Securities Representative Examination
Series 63 – Uniform Securities Agent State Law Examination
Series 7 SIE – Securities Industry Essentials Examination

AWS Certified Cloud Practitioner
Issued by: Amazon Web Services (AWS)
Credential ID: 258G2VFDNBEE1SGP
Google Analytics Individual Qualification
Issued by: Google
Credential ID: 151025256
Advanced Open Water Diver
Issued by: The Professional Association of Diving Instructors (PADI)
Credential ID: 21080U5106
Expertise
Executive Management
- Revenue Generation and Growth
- Business Strategy & Expansion
- Cross-functional Team Building
- Global P&L Optimization
- Product Portfolio Management
- Return on Investment (ROI) Maximization
- Data-Driven Decision Making
- Go-to-Market (GTM) Strategy
- Digital Product Leadership
- Multinational Team Leadership
- Pricing Strategy
- Organizational Change Management
- Product Innovation & Development
- New Market Identification & Analysis
- Business Process Design
- Strategic Planning
- Continuous Process Improvement
- Customer Relationship Management (CRM)
- Stakeholder Management
- Product Roadmapping
- Market Research & Insights
- Competitive Analysis
- Financial Trend Forecasting
Technical Leadership
- Artificial Intelligence
- Machine Learning
- Cloud Computing
- End-to-End Software Lifecycle Management
- Application Programming Interfaces (APIs)
- Generative Algorithms
- Big Data Analytics
- Enterprise Applications
- End-to-End Software Lifecycle Management
- Agile Methodologies
- Key Performance Indicators (KPIs)
- Metrics & Analytics
- Digital Transformation
- Virtualization
- User Study Design
- User Behavior Analysis
- Continuous Integration/Deployment
- Digital Workflow Automation
questions & Answers
Describe a time where you leveraged your strategic and technical expertise to transform a business problem into an opportunity. What were the results?
Transforming Digital Product Strategy to Drive Free-to-Paid Conversion
At Venn by Two Sigma Investments, I led product strategy and monetization and uncovered a crucial challenge: none of the Platform’s users had converted to paying customers. Lacking data on which Venn features would incentivize users to become paying customers, I integrated a powerful conversational AI tool—Intercom—with the advanced user behavior tracking system Amplitude and used Salesforce to gather and aggregate critical customer data.
In under a week, I designed and implemented an agile system that collected feature usage data on a per-user basis to uncover high-value features customers would pay for. Using insights gathered from the system, I discovered that 80% of free-tier users leveraged Venn to download Two Sigma’s proprietary factor analysis portfolio reports for their individually created portfolios.
Working with the Sales team, I developed a new pricing model that included putting engagement-driving existing features behind a paywall and granting early access to new premium features only to customers who signed up for at least a quarter-long pre-paid subscription.
Results
Launched two weeks before the end of the month to create a sense of urgency, my new pricing model resulted in 30% of all Venn users converting to the premium paid version in just two weeks. Over the next six months, Venn acquired 800 new users, and the free-to-paid conversion ratio rose from 0% to 55%, with 95% paid customer retention. I drove significant growth and profits for Venn through my innovative approach by leveraging AI to uncover valuable customer insights.
When have you facilitated digital transformation by bridging external clients with internal stakeholders?
I joined the Marquee Investment Platform team at Goldman Sachs and quickly discovered a significant user engagement issue. Less than 8% of external clients had logged on during the prior six months, hindering Marquee’s transformation into a revenue-generating line of business. Through my research, I identified the opportunity to engage Goldman’s equity-focused hedge fund trading clients by externalizing Goldman’s portfolio analytics technologies.
To increase initial client engagement, I proposed offering our software for free, with the Equity Sales team onboarding clients to Marquee. To provide visibility into our business’ progress, I established the amount of trading flow through the Marquee Platform as our main KPI. Over two years, I developed over 40 client relationships and—based on their feedback—prioritized building the most crucial parts of the system first. In collaboration with Goldman’s Data Science team, I introduced a first-to-market Machine Learning-powered portfolio optimization tool.
These innovations led to Marquee’s first year as a revenue-generating business in 2018. There was a 2400% increase in Equity Basket trading flow to over $590MM and a 13,340% increase in external client engagement to 670 monthly active users (65% of Goldman’s Sales and Trading clients). Through my innovative digital product strategy, I overcame user engagement challenges and drove significant growth for Marquee, ultimately turning it into a successful revenue-generating line of business for Goldman Sachs.