Brittany Riopelle
I’m a product leader specializing in creating groundbreaking products that redefine markets, elevate user engagement, and drive profound revenue growth. With a proven track record of creating impactful technologies product management, business strategy, and innovation, I'm adept in transforming vision to reality.Purpose-driven and results-oriented, I care about the "why" behind the products I build. With a strategic and creative mindset, I take a hands-on approach to my work, effectively managing cross-functional teams while providing valuable insights across the organization. My expertise covers the entire product lifecycle, from roadmap planning to leadership, analytics, and user-centric design. I have experience working with AI and ML products, and my dedication to innovation has earned me certifications and a first-place award for a proposed Generative AI Product.People and collaboration are central to my leadership philosophy. As a manager, I foster a culture of authenticity, contribution, and continuous improvement, which drives team synergy, personal growth, and job satisfaction.This website presents a holistic view of my professional expertise, career journey, personality, and values. I am dedicated to advancing technology and making a positive impact through product management. Explore the links below to learn more about me.
Generative AI
Work Sample
As a product manager with a passion for creating music, I have created a 0-1 plan for a generative AI music production product that empowers producers to experiment with their sound by randomly generating alternative compositions of their songs.
Professional Experience
Dive deep into my background, expertise, education, and skills.
Personal Interests
Get to know me on a personal level.
I developed a vision for an AI-powered tool designed to help music producers break through creative blocks and push boundaries in sound design. During my Advanced AI Product Management course, I collaborated with a small international product team to outline the necessary technologies and develop PRDs. I pitched our formal proposal during a VC-hosted competition and we were awarded first place, recognized for the product's proposal, development feasibility, positioning, and potential for funding.Our process involved defining the product’s mission, core features, technology requirements, market analysis, competitor landscape, and success metrics. The technical requirements specified the AI architecture and frameworks needed to bring this vision to life. I created mockups of the plugin's interface and composed several song variations to demonstrate how The Variator Plugin could revolutionize the creative process for music producers.Navigate through the tabs below and listen to the audio under MVP to explore what the Variator can do.
Mission
Empowering artists to unlock their full creative potential with an intuitive AI-driven plugin that streamlines musical experimentation, inspires innovation, and simplifies the production process, allowing music producers to focus on their artistry and output.
About
The Variator Plugin is an AI-powered tool that enables music producers to randomly generate alternative compositions of songs created in digital audio workstations. It allows users to experiment with their sound design, offering variations that can inspire creativity or be directly utilized in their projects.This plugin enhances a music producer's workflow by analyzing and rearranging tracks in a DAW. By leveraging AI, it provides alternative arrangements, allowing the user to adjust parameters such as danceability, genre, and mood. The system will generate new MIDI sequences and audio patterns, optimizing the music's flow and coherence across all tracks.The Variator "listens" to the user’s musical elements and track arrangements to generate alternative rhythms for a selected section of a song. By analyzing the musical data based on the user’s criteria, it provides alternative clip arrangements for each track while preserving the overall cohesiveness of the sound. These criteria are automatically determined by the song’s key elements, such as rhythm, genre, and energy level, to ensure the generated rhythms are aligned with the original piece. Additionally, users can manually input specific criteria, such as the desired genre, artistic style, or sentiment. Users can also upload a reference song from their desktop. The Variator will then generate clip arrangement suggestions using the user’s audio samples, instruments, and synthesizers, allowing them to explore different compositions of their original sound design. Users can import these tracks into their projects without altering the sound design or quality, and also export compositions as audio files to their desktop for future inspiration.
Use Cases
Breaking Through Producer's Block
Producers struggle to come up with new ideas or are stuck on how to arrange multiple tracks cohesively, maintaining their original sound design. Artists want to maintain their original sound design and are looking for creative breakthroughs, inspiration, and musical direction.
Efficiency
Professionals want a tool that can analyze their music and offer various arrangements based on specific parameters (genre, mood, danceability). Producers want alternative ideas for multi-track sequences, loops, and phases for a song they are producing.
Experimentation
Users want to quickly experiment with different musical styles and arrangements without manually rearranging tracks.
Text-to-Audio Ideation
Producers want to input descriptions like "Make this sound more energetic" to guide their arrangements, enabling a faster, more intuitive creative process.
The Problem
Music producers are often limited by time and creativity when it comes to arranging tracks. They may struggle with creative stagnation, maintaining their creativity under tight deadlines, and navigating complex, unfriendly technical tools that hinder their ability to produce music efficiently and stay inspired. They need a tool that uses AI to streamline the arrangement process. With the evolution of music and the unlimited, inventive potential of the creative mind, new arrangements may need to incorporate or be based on arrangements they’ve already created. Templated arrangements offered through competitors do not address the increasing invention of new genres and sounds.A plugin that allows users to rearrange tracks using both metrics and natural language input, to describe their desired sound and generate arrangements accordingly will save time and enable more creative exploration.
Pain Points
Creative Blocks
Like professional producers, artists and musicians can face creative blocks, where inspiration is hard to find, and the process of writing or composing feels stagnant. These blocks can be particularly frustrating for those who rely on consistent output to maintain engagement with their audience.
Music Theory
Artist may face difficulty in achieving a balance between multiple elements such as harmony, rhythm, and melody.
Experimentation
Users want to quickly experiment with different musical styles, genres, and arrangements without manually rearranging tracks.
Capturing Emotion
Artists may sense the music they want to produce in their body and mind, but lack the means of translating their sentiment to music. They may have difficulty in achieving specific music styles or moods without advanced technical skills, and may be more drawn to describing what they want to create musical adjustments.
Financial Constraints
Many artists and musicians, especially those who are independent, operate on tight budgets. This can limit their access to high-quality recording equipment, production tools, and professional studio time. Financial constraints may also restrict opportunities for marketing, distribution, and live performances, which are crucial for building a fan base and generating income.
Pressure to Innovate
Artists often feel the need to produce music that is both original and commercially viable. The pressure to innovate while staying true to their artistic vision can lead to self-doubt and hesitation, making the creative process more difficult.
Standing Out in a Crowded Market
The music industry is saturated with talent, and it can be challenging for artists and musicians to differentiate themselves and gain recognition. Over 150,000 songs are released everyday. Breaking through the noise requires not only exceptional talent but also strategic marketing, branding, and networking, areas where many artists may struggle.
Changing Trends
Music trends can change rapidly, and artists may feel pressured to adapt their sound to fit current market demands, even if it diverges from their original style. This can create tension between artistic integrity and commercial success.
Learning Curve
Many artists may not have formal training in music production, mixing, or mastering, yet these skills are increasingly necessary in a DIY environment. The steep learning curve of mastering these technical aspects can be a significant barrier to producing professional-sounding music.
Keeping Up with Technology
As new tools and technologies emerge, artists must continuously learn and adapt. This constant need for technical development can be overwhelming, especially for those who prefer to focus on the creative aspects of music-making.
Market Insights
Music production plugins are a rapidly growing segment in both professional and amateur markets. With the increasing adoption of DAWs, there's high demand for tools that streamline complex production tasks, including arrangement and composition. Additionally, text-to-audio is a novel feature that can enhance creativity by providing a more intuitive way for users to communicate with the plugin, making this plugin highly competitive across the music and film industries.
Market Analysis
| Segment | Description | Needs | Pain Points |
|---|---|---|---|
| Professional Music Producers | Experienced producers in studios or for clients | Fast, efficient tools for exploring ideas, streamlining workflow, high-quality track production | Time constraints, creative blocks, need for innovation |
| Independent Musicians | Artists producing their own music, often on a budget | Affordable, intuitive tools for experimentation and refining music | Limited resources, need for unique sound, desire to stand out |
| Composers for Media | Composers for film, TV, and games | Tools for quick iteration, mood matching, and easy project integration | Tight deadlines, client expectations, need for diverse compositions |
| Audio Engineers | Professionals focused on recording, mixing, and mastering music | Tools that maintain audio quality while offering creative flexibility | Maintaining audio fidelity, ensuring client satisfaction, handling complexity |
| Amateur Producers and Hobbyists | Individuals creating music as a passion or hobby | Easy-to-use, fun, and educational tools that inspire creativity | Lack of professional knowledge, limited time, budget constraints |
| DJ/Remix Artists | DJs and remixers creating mashups and live sets | Tools for quick re-arrangement and experimentation with track combinations | Need for real-time editing, maintaining danceable compositions |
| Sound Designers | Professionals creating unique soundscapes and effects | Tools offering diverse compositional options for novel audio experiences | Demand for originality, complex project requirements, sound consistency |
| Educational Institutions | Schools offering music production courses | User-friendly tools for teaching composition, arrangement, and sound design | Varied skill levels, budget limitations |
| Content Creators | Individuals creating audio for social media, podcasts, or videos | Tools for quick, easy production of background music or soundtracks | Need for time-efficient, accessible tools with high-quality output |
Competitor Analysis
| Company | Key Features | Strengths | Weaknesses | Price |
|---|---|---|---|---|
| Instacomposer 2 | AI-assisted MIDI generator | Powerful AI for generating ideas, easy integration with DAWs, customizable output. | Less control over creative process, limited control over the structure, does not consider sequences already composed, can feel robotic without post-processing | $59/license |
| CasseteAI | Text to audio AI generation, LDMs for text to music generation, midi export, stem separation | Excellent for quick drafts, mobile-friendly, easy for beginners. | Lacks advanced control, limited DAW integration, lengthy load time, create on website, only downloads mp3 files; limited to 500 monthly creations | Free or Pro subscription for $3.99/month |
| iZotope | Suite of audio production tools including mixing, mastering, and vocal processing. | Audio repair and mastering, highly customizable, intelligent AI processing. | Can be expensive, steep learning curve for beginners, heavy reliance on automation | From $199 to $999 (various suites) |
| Odesi by Mixed in Key | Songwriting assistant focusing on melodies, chords, and rhythm creation. | Strong chord progression suggestions, integrates well with Mixed in Key ecosystem, quick idea generation. | Limited flexibility, not as advanced in rhythm generation. | $49/license |
| ArraangeKing | AI composition tool for arranging and structuring tracks automatically. | Automatic arrangement for various genres, fast workflow, designed for producers. | Lacks manual control, needs improvements in genre diversity. | Free beta, pricing TBD |
| Suno | AI-powered vocal generation with text-to-singing capabilities. | Unique AI-generated vocals, great for music producers and creators, cutting-edge vocal synthesis. | Still developing, can sound synthetic depending on context. | Free to use (Pro version pending) |
| Unison Bass Dragon | Bassline generator focused on high-quality, genre-specific basslines for different styles | Excellent bass sounds, easy-to-use interface, works in any DAW. | Only focuses on basslines, niche application, repetitive over multiple uses. | $297/license |
| Unison Drum Monkey | AI-powered drum loop generator with DAW integration. | Generates high-quality drum loops quickly, simple user interface, great for speeding up workflow. | Less control over individual drum elements, can feel repetitive. | $297/license |
| Unison MIDI Wizard | Generates chords, melodies, and basslines in MIDI format for any DAW. | Fast and easy MIDI generation for multiple genres, huge library of presets. | Limited control over output quality, expensive relative to functionality. | $297/license |
Technical Architecture
Input
User arranges their project MIDI and audio files to their DAW.
The user groups all tracks and apply the plugin to the group.
The user opens the Variator Plugin and provides optional parameters such as tracks, sections, automation settings, and free-form text instructions.
Processing
LibROSA analyzes musical properties
Spotify API fetches emotional and genre insights
AI Processing
Natural Language Processing (NLP) interprets text input and adjusts musical properties
Variational Autoencoder (VA-VAE) generates melodic/harmonic variations
Transformers structure the arrangement
Output
Generated arrangements are converted into MIDI via Pretty_MIDI and then delivered to the DAW using JUCE Framework.
The Variator plugin will be developed as an AU, VST, and VST3
Agnostic Plugin: The Variator Plugin is extensible to any DAW.
Neutral Plugin: The Variator Plugin mirrors your sounds and offers different chord progression, melody, bassline, and drum line suggestions.
Assumptions & Constraints
The user must provide well-defined MIDI tracks and audio samples for accurate analysis.
The user must manually group all tracks and apply the plugin to the group.
Integration with multiple DAWs requires maintaining compatibility with varying formats. (For example, only a few popular DAWs have a Session View/Clip View feature. Utilizing this feature will make the Variator plugin much more flexible, but won’t be offered across the board.)
Data Collection & Model Training
Analyze Songs using LibROSA python
Extract relevant musical features from songs and audio files in the chosen genre, mood, or energy level (dancability), such as tempo, rhythm, pitch, key, harmonic structures, and musical elements.
LibROSA will help analyze the musical structure and features of songs within the chosen genre. The goal is to extract features that can guide the generation of new MIDI sequences.
Spotify Music Analysis API for Higher-Level Features
Utilize the Spotify API to access more abstract and high-level features (danceability, mood, genre, artist)
Combine data collected from LibROSA and Spotify Music Analysis API
Combine these datasets to create a richer representation of the songs. For example, use Spotify's mood and danceability features alongside the detailed rhythmic and harmonic data from LibROSA.
Human Review of Extracted Features: After using LibROSA and the Spotify API to extract features, music producers and engineers review the relevance and accuracy of these features. Their feedback can inform adjustments to the feature extraction process, ensuring the most important aspects of the music are captured.
Train Natural Language Processing (NLP) model
Train the NLP: The NLP will interpret text commands to define musical properties, translating them into changes in the arrangement (e.g., increasing tempo, adjusting energy levels, adding drum patterns).
Train a VA-VAE 2 (Variational Autoencoder with Vector Quantization) Model
Feed the combined feature set into the VA-VAE 2 model to learn a compressed latent representation of the musical features extracted from the songs. This will enable it to generate new variations of harmonic and melodic patterns based on the latent space.
Train a VA-VAE 2 (Variational Autoencoder with Vector Quantization) Model
The Transformer model can handle the longer-term structure of a song, such as verses, choruses, and overall arrangement. Transformers excel at sequence-to-sequence tasks, and for music, they can be trained on sequences of MIDI events.
Train the Transformer to predict the next MIDI event or note in a sequence, conditioning it on the musical context (chords, melody, rhythm) from the VA-VAE model.
Human feedback & Reinforcement learning: During the training of the VA-VAE 2 model, human reviewers will evaluate the generated variations of harmonic and melodic patterns. Based on their feedback (e.g., preferences for certain styles, rhythms, or harmonies), engineers will adjust the training process to reinforce the generation of more desirable outcomes. This will be done through a rewards signal mechanism, where positive feedback on generated outputs results in adjustments to the model's parameters, enhancing the quality of future generations.
Convert Generated Data into MIDI (pretty_midi)
Convert the generated sequence output from VA-VAE and the Transformer into MIDI files using pretty_midi. This will allow the music producer to import the sequences into their DAW for further editing and production.
Human testing / Reinforcement Learning on Midi Output
Collect feedback on the final output.
Integrate feedback into the next iteration of the process.
Plugin Framework & Development
JUCE Framework
JUCE is a widely used framework for building audio applications and plugins. It supports VST, VST3, AU, and AAX formats.
Developing the plugin
MIDI Input/Output:
Implement MIDI input handling to receive the MIDI data you’ve generated.
Use the appropriate API calls to send MIDI data to the DAW.
Graphical User Interface (GUI):
Design the GUI using the framework’s tools (JUCE has a Projucer tool for UI design).
Display MIDI notes visually, similar to a piano roll.
Playback Logic
Implement the logic for playback of the MIDI data using the selected instruments.
Train the NLP: The NLP will interpret text commands to define musical properties, translating them into changes in the arrangement (e.g., increasing tempo, adjusting energy levels, adding drum patterns).
Copyright Feature
Variator provide checks to ensure the AI-generated music or musical elements (such as chord progressions, melodies, or samples) are original and not overly similar to existing tracks in the market, protecting artists from unintentional plagiarism and helping maintain their unique sound.
Results & Similarity Score
After analysis, the system presents a similarity score for each musical element (melody, chord progression, rhythm, etc.) as well as an overall score. The feature also highlights which specific parts of the generated composition are highly similar to existing tracks, allowing artists to make informed decisions on whether to tweak the composition or keep it as is.
Recommendation System
Based on the similarity score, the plugin will recommend alterations to reduce similarity and avoid potential legal issues. For example, if the melody is too similar to a known track, Variator will suggest changing a few notes or modifying the rhythm slightly.
Legal and Copyright Warnings
The system flags any compositions that exceed a certain similarity threshold and provides legal warnings about potential risks of copyright infringement. This helps artists stay within safe boundaries, especially when releasing music commercially.
Customizability
Artists can adjust the sensitivity of the similarity check depending on their needs. For instance, they can opt for stricter checks when seeking completely original work or allow for more flexibility if they’re comfortable with using familiar musical structures.
Challenges
Cost to create model & store data
Costs for human feedback loops and time to analyze
Accounting for the multiple methods of sound design when there are dependencies on multiple tracks
Competitive Pricing
Ensuring that the NLP text interpretation is accurate enough to provide meaningful changes to the arrangement.
Real-time performance to handle quick processing and previews
Feature Highlights
Post-Production Multi-Track & Multi-Channel Manipulation
After designing your sound within your DAW, use the Variator Plugin to hear beat variations using some or all of your tracks. The Variator will repattern your selected tracks and midi-channels without affecting your audio effects or return tracks.
Full Song or Single Section Recomposition
Isolate sections for the Variator to recompose or allow it to provide beat variations for the entire song.
AI-Generated Style Matching
Ask the Variator to use your sound design to compose beats in a specific artistic style or genre. Create multi-genre songs at a single BPM.
AI-Generated Sentiment Composition
Ask the Variator to use your sound design to compose beats for a specific mood, feeling, or energy level.
Variation by Reference Tracks
Upload a reference song and set start and end times to get similar beat compositions
Unlimited Track Selection
There’s no limit to the number of tracks that can be selected for generation.
Key and Scale Lock
The Variator will manipulate your sounds in the correct key and scale.
Automation Manipulation
Freeze automation settings for each clip or allow the Variator to manipulate them using a feature-rich MIDI to adjust the dynamics, velocity, and articulation.
Pairing
Configure tracks that depend on each other so they always play at the same time, maintaining any automation used for each clip.
Interference Regulation
Variator Plugin automatically accounts for individual sounds and frequencies that should not overlap. Advanced settings allow you to manually select more tracks that should never overlap or interfere with each other.
Section Groups
Select tracks that relate to each other for specific parts of the song. Clips within these tracks will only be arranged in the desired section(s).
MIDI Editor
Edit midi notes within Variator before importing to your DAW.
Bookmark Variations
Bookmark your favorite ideas to come back to later.
Import Composition
Import your new composition to your DAW to replace your original clip placements. Variator automatically detects which tracks have clips that need to be replaced by section names and grid timestamps. Save individual tracks by dragging and dropping into your DAW. DAWs that have nonlinear clip arrangement features such as Abelton, Logic, and Bitwig Studio allow you to drag and drop tracks into clip view. Export audio files to your desktop.
Post Variator Sound Design Accountability
Any additional sound design produced after using Variator will be accounted for every time you open the Variator Plugin. Variator will always use the current midi and audio clips in your DAW.
Copyright Check
Variator provides a copyright check to ensure the AI-generated music or musical elements (such as chord progressions, melodies, or samples) are original and not overly similar to existing tracks in the market, protecting artists from unintentional plagiarism and helping maintain their unique sound.
Sound Quality
As the Variator Plugin uses your sound design as it appears within your DAW, audio quality and sound effects will never be altered or affected.
DAW Compatability
The Variator Plugin is extensible to any DAW.
Measuring Success
Generated Content Usage
Measure how frequently users interact with or use the AI-generated content. For example, track the number of times users export, save, or otherwise utilize the content produced by the AI.
User Feedback and Ratings
Collect and analyze user feedback specifically related to the effectiveness and quality of the AI-generated content. Metrics could include average rating scores or sentiment analysis from reviews.
Repeat Usage Rate
Measure the percentage of users who return to use the plugin multiple times over a given period to indicate whether the plugin provides ongoing value and inspiration.
Feature Adoption Rate
Track the usage of different features within the plugin to provide insights into which features are most valuable.
AI-Specific Success Metrics
NLP Accuracy
Percentage of text inputs that lead to accurate and desired arrangement changes.
Creativity
User feedback on the creativity of arrangements generated from text inputs.
User Feedback Metrics
User Engagement
| Metric | Description | Example |
|---|---|---|
| Frequency of Use | How often users engage with AI features per session | Average number of interactions with AI tools per session |
| Time Saved | Reduction in time spent on manual tasks vs. AI-assisted tasks | Average time spent on manual adjustments vs. AI-assisted tasks |
User Satisfaction
| Metric | Description | Example |
|---|---|---|
| User Ratings and Feedback | User ratings and satisfaction after using AI-generated features | Average user rating (1-5 stars) for AI-generated results |
| Post-Feature Survey Results | Feedback from surveys on AI’s usefulness and accuracy | Percentage of users reporting satisfaction after AI usage |
Creativity and Output
| Metric | Description | Example |
|---|---|---|
| Increased Creative Output | Number of completed projects after using AI features | Percentage increase in completed tracks by AI tool users |
| Experimentation Rate | Users trying new musical ideas based on AI suggestions | Number of experimental musical elements used per project |
Originality and Similarity
| Metric | Description | Example |
|---|---|---|
| Similarity Thresholds | Accuracy in identifying similarities with market tracks | Percentage of compositions flagged for high similarity |
| Originality Improvement | Users modifying their tracks based on similarity feedback | Percentage of users making changes after similarity warnings |
Productivity and Efficiency
| Metric | Description | Example |
|---|---|---|
| Reduction in Technical Errors | Fewer reported technical issues after using text-based manipulation | Decrease in support tickets related to technical issues |
| Workflow Efficiency | Faster task completion using text input vs. manual methods | Percentage reduction in time spent on production tasks |
Adoption
| Metric | Description | Example |
|---|---|---|
| Feature Adoption Rate | Proportion of users actively using AI features | Percentage of active users engaging with AI tools per session |
| New User Acquisition via Features | Users signing up due to interest in AI-driven tools | Percentage of new users citing AI features as a key reason |
AI Accuracy and Learning
| Metric | Description | Example |
|---|---|---|
| AI Understanding Accuracy | Accuracy of AI in interpreting user text commands | Percentage of user commands correctly understood by AI |
| Improvement in AI Suggestions Over Time | Better AI suggestions based on user feedback | Increase in user satisfaction as AI improves over time |
Original Song
Generated Variation
Roll-out Strategy
$299 per license
Beta Launch: Release to a select group of music producers for feedback.
Full Launch: Wide release with marketing focused on producers and hobbyists using DAWs like FL Studio, Logic Pro, and Ableton Live.
Professional Experience
Work Experience
Eturi Corp | Mobile & Web Apps
Director, Product Management
In this role, I defined and executed product strategy for mobile, web, and desktop app solutions, integrating advanced features such as remote device viewing, family tracking, and app management, while creatively overcoming Apple MDM limitations. The product, OurPact, was unique as it used AI/ML to provide screenshots of a child's device, highlighting problematic content and sentiment to make it competitive in the growing market. I prioritized key features in the development pipeline to boost product appeal and streamline workflows, ensuring that engineering challenges were resolved efficiently. My responsibilities spanned the entire product lifecycle, from concept to launch, including product vision, roadmap planning, UX/UI design, PRD creation, and app submissions.I maintained a 12-month roadmap that balanced business goals with new concepts and user feedback, managing risks and making strategic trade-offs to prioritize impactful features. I also identified growth opportunities by redesigning the app's UX/UI to focus on information-first user experiences, improving onboarding flows, and enhancing overall user engagement. To support business growth, I developed new subscription models, assessed cost-revenue dynamics, and adjusted pricing tiers accordingly. I oversaw the launch of each release and ensured that the app complied with GDPR privacy and security regulations to protect families.My role emphasized collaboration across teams, where I strengthened relationships with marketing, customer success, and leadership to ensure cohesive product development. In collaboration with full-stack and architecture engineers, I researched and implemented AI, ML, API, and MDM solutions to enhance the technical foundation of the app. Additionally, we developed an internal text and image automation tool for translating international emails. As a director, I mentored the product team members, fostering skill development and effective task delegation.
Product Manager
I created UX/UI designs and detailed PRDs, working closely with engineers to address complex development challenges. I optimized workflows to increase efficiency across Product and Engineering teams, and redesigned, prototyped, and pitched new B2B app concepts that integrated third-party APIs to improve production visibility and propose new monetization strategies. Additionally, I mapped 1,500 access states for managed device conditions, improving accuracy and reducing turnaround time for Engineering and QA. I also ensured full GDPR compliance for all features, enhancing data security and privacy standards.
Work Experience
SF Bay Cosmetic Surgery Medical Group
Marketing & Software Implementation Manager
I led the implementation of new EHR and patient management software, creating an online portal that improved patient access to medical records and procedure instructions while streamlining workflows for staff. I developed branded medical documents for patient intake, procedure information, and waivers, integrating them into the system for consistency and ease of use. Additionally, I executed HIPAA-compliant marketing campaigns, crafting and distributing content that adhered to privacy regulations while effectively promoting the practice.
Work Experience
TAG
Senior Account Manager
As a Supervisor and Global Team Lead, I managed the execution of global advertising campaigns and product implementations, serving as the subject matter expert for Tag's proprietary SaaS automation and ad templating platform. I defined product strategies tailored to enterprise client automation needs, pitching innovative concepts, drafting PRDs for engineers, and overseeing the entire product lifecycle from conception to delivery, while managing two direct reports.I handled Tier 1 enterprise accounts, conducting detailed analysis of client business procedures and OKRs to identify growth opportunities, which resulted in $2 million in annual contract renewals and the expansion of the team with 12 new hires. Additionally, I optimized workflows to enhance product adoption and drive customer retention.As Global Brand Lead for Dove Men and Dove Baby, I directed international teams in the localization of digital, print, and broadcast media, as well as websites, e-commerce data, and design automation. I also managed global and localized client budgets, providing data-driven insights through KPI analysis to ensure both operational efficiency and impactful results.
Account Manager
I managed key client relationships and streamlined the submission of briefs to design, broadcast, and engineering teams, ensuring seamless collaboration and execution. I proactively developed an automation tool to analyze KPIs and generate client-facing reports, reducing employee workload by two weeks. Additionally, I delivered comprehensive presentations of both qualitative and quantitative KPIs to clients and internal stakeholders, driving data-driven decision-making and strengthening communication between teams and clients.
Work Experience
Tantrum | inVNT
Production Coordinator (Contract)
As a Production Coordinator, I oversaw the full lifecycle of event logistics for large-scale corporate events, managing pre-production planning, on-site coordination, and post-production wrap-up. I maintained detailed documentation, ensuring all project aspects were well-organized and aligned with event goals. This included arranging travel and meals for staff and key stakeholders, as well as sourcing venues and managing artist relations. I played a pivotal role in ensuring smooth communication between all parties, facilitating contracts, and coordinating with vendors to meet production timelines and deliver a high-quality event experience.
Education
University of Arizona
Bachelor of Arts: Consumer Sciences & Business Administration
Graduated 2012
GPA: 3.8
Advanced Generative AI Product Management & Leadership
AI Product Academy | Maven
Issued Aug 2024
Credential ID: jfTzcaFG
Awarded 1st-Place AI Product for AI Variator Plugin
AI Product Management
AI Product Academy | Maven
Issued Jul 2024
Credential ID: CeBbTokG
Certified Scrum Product Owner (CSPO)
Scrum Alliance
Issued Sep 2019
Credential ID: 1120097
Skills
Development & Collaboration
GitLab
JIRA/Confluence
Apple Developer (App Store Connect)
Google Play Console
AI & Machine Learning
Gamma AI
TensorFlow
AWS Comprehend
AWS Rekognition
Teachable Machine
Claude AI
ChatGPT
Gemini
Design, Prototyping & Creative
Figma
Sketch
InVision
Adobe Design Suite (Photoshop, Illustrator, InDesign)
Canva
DALL-E
Midjourney
Analytics & Tracking
Mixpanel
Programming Languages (Basic Experience)
Swift
Python
Localization & Translations
Lokalise
Website Builders & Landing Page Creators
Carrd
Squarespace
Productivity & Office
Google Workspace
Excel VBA (Visual Basic for Applications for automation)
HTML Generation & Marketing
Topol
Constant Contact
Mailchimp
Creative & Multimedia Production
Ableton Sound Design
Pioneer
Rekordbox
Universal Audio
SoundCloud Artist Tools
Splice
Adobe Audition
Camtasia
Industry-Specific
SaaS
CRM
HubSpot
ZoomInfo
Personal Interests & Hobbies
I believe that a well-rounded life fosters creativity, resilience, and perspective, all of which are essential in both personal and professional success. While I’ve always been driven in my career, I’ve found that pursuing diverse interests outside of work—such as music production, yoga, and travel—enhances my ability to think innovatively, stay focused, and connect with people on a deeper level. These experiences have shaped my approach to problem-solving, collaboration, and leadership, allowing me to bring fresh insights and balance to my work as I continue to grow both personally and professionally.
Music Producer
My passion for music began early with piano and drums, but it truly took off in 2020 when I felt drawn to deepen my relationship with music. I started DJing, where I discovered my unique sound and ability to energize a room. From there, I began producing my own music, which requires patience, technical skill, and creativity. Music production has taught me the importance of persistence, experimentation, and how to blend elements to create harmony—skills I apply in other areas of my life and work.
Fire Dancer
Fire dancing has been a transformative practice for me over the last seven years. It requires confidence, discipline, and the ability to enter a flow state—qualities that have strengthened my focus and resilience. This practice has empowered me to embrace challenges with presence and trust in my own abilities.
Certified Reiki Master
As a certified Reiki Master, I’ve spent years studying the practice of healing and understanding the human experience. My certifications, earned over a two-year period, have deepened my empathy and connection to others, which informs how I engage with people in both personal and professional settings.
Certified Trauma-Informed Yoga Teacher
While I don’t actively teach, I pursued certification to better understand trauma and how it can be addressed through meditation, breathwork, and yoga. This experience has given me insight into how mindfulness and self-awareness can be powerful tools for overcoming challenges, both in life and in the workplace.
Tourist
I believe in stepping outside my comfort zone and exploring the world. From hiking and skiing to visiting countries like London, Ireland, Mexico, and Cuba, travel has broadened my perspective and deepened my appreciation for different cultures.