Hi, I’m Jagrat - Musician, Product designer & PM.
I want to help build the future of music at Moises.
Here’s why
Intersection of my lifelong passions.
I’ve been a hobbyist musician since the age of five, with intent to go professional until I turned eighteen. In parallel, I’ve been deeply fascinated by technology since my first Windows 95 computer. That intersection showed up naturally in my work at Parsons School of Design, where most of my projects gravitated toward music applications, culminating in a music-focused thesis.
Once in a multi-decade opportunity
Inflection points like this, where music can be dynamically manipulated (key, tempo) and created through prompts, emerge once every 20 to 30 years. I would not want to miss a moment this consequential in the history of music.
The team’s deep understanding of musicians
The depth and coherence of Moises make it clear that the team understands musicians deeply. I’ve followed the product for a while and consistently seen genuinely useful features ship, each one fitting naturally into a thoughtful whole.
Co-creating the instrument on which the next generation of hits might be composed (goosebumps)
Text to audio gen represents the next creative instrument, one that artists will explore, compose with, and push in unexpected directions. Shaping this instrument means influencing how future music is created.
AREAS I’m MOST INTERESTED IN
ONE
Moises AI Studio
Being a music creator myself, generative music is the most exciting frontier of Moises for me. It’s an opportunity to reimagine what music making should be without the constraints of a DAW and with the workflows that musicians are already familiar with.
TWO
Moises as a practice app
I’ve seen and thought deeply about many tools to improve music practice, and Moises feels like a culmination of many of the ideas I’ve independently arrived at. It meaningfully lowers the friction of practice, making it easier to improve, iterate, and go further in my musical journey. Because I deeply understand musician workflows and have spent years thinking about how tools can support them, I see a lot of space where I could contribute and help push this even further.
THREE
Integration with Spotify/Apple Music
The biggest friction in using Moises today is having to bring your own music. Recently, both Spotify and Apple Music have started allowing DJ apps to access their catalogs for personal use, which significantly lowers that barrier. Similar partnerships for Moises could be a step-change in adoption by letting users start practicing instantly, without any setup friction.
FOUR
API Play
Beyond new product features, maybe there’s a way MusicAI’s stem separation, new music generation and more directly into the places everyday users already make content like YouTube, Instagram, or TikTok. It’s a natural way to reach non-musicians, introduce them to AI-generated tracks in a familiar setting, and make them familiar with the Moises brand.
About me
Over eight years in product design and two in product management, building zero to one products.
Strategic Mindset: PM + Design
As someone who can drive a product end to to end - from vision to protoype, distill a vision into a roadmap/feature set, design it, vibe code a prototype and get feedback quickly, founders have often relied on me running my own charter a PM+Designer.
High Ownership Environments
All of my roles, from Haptik to HackerRank, have been high-ownership ones where one takes responsibility end to end. That’s where I thrive the most too.
Music Making Experience (LogicPro)
I spent about a year making music full-time, teaching myself Logic Pro and songwriting, and ended up creating 17 songs and demos. I also play keys and acoustic guitar, so I understand a musician’s workflow and the frustrations that come with it.
Exactly 10 years ago
2015 - Shipped my first music app.
2025 - Hoping to help shape how the world makes and hears music.
I’d Love An Opportunity to Contribute
Hi, I’m Jagrat - Musician, Product designer & PM.
I want to help build the future of music at Moises.
Here’s why
Intersection of my lifelong passions.
I’ve been a hobbyist musician since the age of five, with intent to go professional until I turned eighteen. In parallel, I’ve been deeply fascinated by technology since my first Windows 95 computer. That intersection showed up naturally in my work at Parsons School of Design, where most of my projects gravitated toward music applications, culminating in a music-focused thesis.
Once in a multi-decade opportunity
Inflection points like this, where music can be dynamically manipulated (key, tempo) and created through prompts, emerge once every 20 to 30 years. I would not want to miss a moment this consequential in the history of music.
The team’s deep understanding of musicians
The depth and coherence of Moises make it clear that the team understands musicians deeply. I’ve followed the product for a while and consistently seen genuinely useful features ship, each one fitting naturally into a thoughtful whole.
Co-creating the instrument on which the next generation of hits might be composed (goosebumps)
Text to audio gen represents the next creative instrument, one that artists will explore, compose with, and push in unexpected directions. Shaping this instrument means influencing how future music is created.
AREAS I’m MOST INTERESTED IN
ONE
Moises AI Studio
Being a music creator myself, generative music is the most exciting frontier of Moises for me. It’s an opportunity to reimagine what music making should be without the constraints of a DAW and with the workflows that musicians are already familiar with.
TWO
Moises as a practice app
I’ve seen and thought deeply about many tools to improve music practice, and Moises feels like a culmination of many of the ideas I’ve independently arrived at. It meaningfully lowers the friction of practice, making it easier to improve, iterate, and go further in my musical journey. Because I deeply understand musician workflows and have spent years thinking about how tools can support them, I see a lot of space where I could contribute and help push this even further.
THREE
Integration with Spotify/Apple Music
The biggest friction in using Moises today is having to bring your own music. Recently, both Spotify and Apple Music have started allowing DJ apps to access their catalogs for personal use, which significantly lowers that barrier. Similar partnerships for Moises could be a step-change in adoption by letting users start practicing instantly, without any setup friction.
FOUR
API Play
Beyond new product features, maybe there’s a way MusicAI’s stem separation, new music generation and more directly into the places everyday users already make content like YouTube, Instagram, or TikTok. It’s a natural way to reach non-musicians, introduce them to AI-generated tracks in a familiar setting, and make them familiar with the Moises brand.
About me
Over eight years in product design and two in product management, building zero to one products.
Strategic Mindset: PM + Design
As someone who can drive a product end to to end - from vision to protoype, distill a vision into a roadmap/feature set, design it, vibe code a prototype and get feedback quickly, founders have often relied on me running my own charter a PM+Designer.
High Ownership Environments
All of my roles, from Haptik to HackerRank, have been high-ownership ones where one takes responsibility end to end. That’s where I thrive the most too.
Music Making Experience (LogicPro)
I spent about a year making music full-time, teaching myself Logic Pro and songwriting, and ended up creating 17 songs and demos. I also play keys and acoustic guitar, so I understand a musician’s workflow and the frustrations that come with it.
Exactly 10 years ago
2015 - Shipped my first music app.
2025 - Hoping to help shape how musicians practice and make music.
I’d Love An Opportunity to Contribute
Hi, I’m Jagrat - Musician, Product designer & PM.
I Want To Help Build The Future Of Music at Moises.
Here’s why
Intersection of my lifelong passions.
I’ve been a hobbyist musician since the age of five, with intent to go professional until I turned eighteen. In parallel, I’ve been deeply fascinated by technology since my first Windows 95 computer. That intersection showed up naturally in my work at Parsons School of Design, where most of my projects gravitated toward music applications, culminating in a music-focused thesis.
Once in a multi-decade opportunity
Inflection points like this, where music can be dynamically manipulated (key, tempo) and created through prompts, emerge once every 20 to 30 years. I would not want to miss a moment this consequential in the history of music.
The team’s deep understanding of musicians
The depth and coherence of Moises make it clear that the team understands musicians deeply. I’ve followed the product for a while and consistently seen genuinely useful features ship, each one fitting naturally into a thoughtful whole.
Co-creating the instrument on which the next generation of hits might be composed (goosebumps)
Text to audio gen represents the next creative instrument, one that artists will explore, compose with, and push in unexpected directions. Shaping this instrument means influencing how future music is created.
AREAS I’m MOST INTERESTED IN
ONE
Moises AI Studio
Being a music creator myself, generative music is the most exciting frontier of Moises for me. It’s an opportunity to reimagine what music making should be without the constraints of a DAW and with the workflows that musicians are already familiar with.
TWO
Moises as a practice app
I’ve seen and thought deeply about many tools to improve music practice, and Moises feels like a culmination of many of the ideas I’ve independently arrived at. It meaningfully lowers the friction of practice, making it easier to improve, iterate, and go further in my musical journey. Because I deeply understand musician workflows and have spent years thinking about how tools can support them, I see a lot of space where I could contribute and help push this even further.
THREE
Integration with Spotify/Apple Music
The biggest friction in using Moises today is having to bring your own music. Recently, both Spotify and Apple Music have started allowing DJ apps to access their catalogs for personal use, which significantly lowers that barrier. Similar partnerships for Moises could be a step-change in adoption by letting users start practicing instantly, without any setup friction.
FOUR
API Play
Beyond new product features, maybe there’s a way MusicAI’s stem separation, new music generation and more directly into the places everyday users already make content like YouTube, Instagram, or TikTok. It’s a natural way to reach non-musicians, introduce them to AI-generated tracks in a familiar setting, and make them familiar with the Moises brand.
About me
Over eight years in product design and two in product management, building zero to one products.
Strategic Mindset: PM + Design
As someone who can create a product from vision to design to vibe-coded prototype, founders have often relied on me running my own charter as a PM+Designer.
High Ownership Environments
All of my roles, from Haptik to HackerRank, have been high-ownership ones where one takes responsibility end to end. That’s where I thrive the most too.
Music Making Experience (LogicPro)
I spent about a year making music full-time, teaching myself Logic Pro and songwriting, and ended up creating 17 songs and demos. I also play keys and acoustic guitar, so I understand a musician’s workflow and the frustrations that come with it.
Exactly 10 years ago
2015 - Shipped my first music app.
2025 - Hoping to help shape how musicians practice and make music.
I’d Love An Opportunity to Contribute
Call me, (not) maybe