Full-Time
Posted on 10/3/2025
Text-to-song AI music generation platform
$160k - $200k/yr
Cambridge, MA, USA + 1 more
More locations: New York, NY, USA
In Person
Five days per week in-office; offices in NYC or Cambridge; must be authorized to work in the US.
Suno creates AI-generated music from text prompts. It lets users describe a mood, genre, or idea and automatically produces fully produced songs with vocals, instrumentation, and arrangements, without requiring any musical training. The product works by turning user prompts into complete songs using generative AI models, offering a library of styles from pop and rock to ambient and cinematic. What sets Suno apart is its combination of engineering and songwriting culture, a fast-growing platform that supports many musical styles and a broad global user base, and its emphasis on making music creation accessible to non-musicians while delivering a complete song output rather than isolated elements. The company aims to reshape how songs are conceived, produced, and shared and to help more people create music by lowering technical barriers and enabling rapid, iterative experimentation.
Company Size
201-500
Company Stage
Series C
Total Funding
$375M
Headquarters
Cambridge, Massachusetts
Founded
2022
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401(k) Retirement Plan
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Generous Commuter Benefit
Unlimited Paid Time Off
AI song factory Suno sneaks into soma as San Francisco tech beat kicks back in. Published on April 03, 2026 Soma just got a new soundtrack. Suno, the AI startup that turns short text prompts into full songs, quietly opened an office in downtown San Francisco last week, planting its flag in the South of Market neighborhood as it ramps up hiring and expands its machine learning work. New soma hub and what Suno says. According to Axios, the new office, which opened last week, sits near Mission and 2nd streets. Co-founder and CTO Georg Kucsko told Axios that opening doors in San Francisco will be critical as we continue to scale. Axios also reported that Suno, which launched in 2023 and is headquartered in Cambridge, plans to grow headcount by about 70% and expects to double its workforce this year. Hiring push in soma. Local job listings point to an active recruitment drive for engineers, product designers and machine learning researchers based in San Francisco. Roles posted on Built In San Francisco and listings on Indeed list San Francisco as the required location and note that some positions will be on site while the precise office address is finalized. How the music Industry has reacted. Suno's expansion comes as the company continues to navigate major disputes over how AI models are trained and used. The Recording Industry Association of America sued Suno in 2024, and Warner Music Group reached a settlement with the startup in November 2025, according to TechCrunch, in a deal that included plans to develop licensed models with the label. Why San Francisco matters. San Francisco's office market has shown renewed leasing momentum, and AI firms are among the tenants driving demand. Reporting from The Real Deal documents a pickup in leasing and absorption that makes opening a local hub more attractive for startups hunting talent and studio space. Company stance and product guardrails. Suno frames its tools as a way to help people make new music and has rolled out features intended to give creators control, including voice verification and custom models. The company outlines those capabilities and asks users to report suspected copyright issues on its own pages; Suno also says it will not fulfill prompts that request non-AI recordings or the exact likeness of specific artists, per Suno and the Suno Help Center. For San Francisco, Suno's arrival is described as another sign that AI startups are once again opening physical hubs to hire specialized talent and build product teams in person. Axios' reporting suggests more local hires are likely as the company scales its machine learning groups in the months ahead.
Exclusive: AI music generator Suno opens SF office. An AI startup that lets users make music from prompts has opened an office in downtown San Francisco, Axios has learned. The big picture: Suno's expansion is another sign of the AI boom fueling downtown's comeback, and brings to the city a company at the center of recent fights over using copyrighted music to train AI models. Driving the news: Suno's new office, opened last week, is located in the South of Market, near Mission and 2nd. * Opening doors in San Francisco "will be critical as we continue to scale," co-founder and CTO Georg Kucsko told Axios via email. * The Cambridge-headquartered company launched in 2023 and is "investing especially heavily in our machine learning team to develop our frontier music model," according to Kucsko. * The startup is planning to grow headcount by 70% across engineering, product design, data science and machine learning teams, and expects to double its workforce this year. Between the lines: The company has been embroiled in legal challenges over its product. * The Recording Industry Association of America sued Suno in 2024 on behalf of three major record labels, including Warner Music Group (WMG). The lawsuit accused Suno of "wholesale theft" by allegedly using copyrighted recordings to train its model without permission. * Suno maintains that its platform is focused on creating new music and constitutes "fair use" under U.S. copyright law. * WMG settled with Suno in November. The deal includes requiring Suno to create new models trained on licensed content and allowing WMG artists to opt in or out of the program. Suno says it's meant to help users make new music and denies requests that reference specific artists or non-AI-generated music. * Users are encouraged to report copyright infringement if they come across a song that belongs to another artist or incorporates elements of someone else's music. What's next: Suno plans to launch the models developed with WMG and other industry partners this year. * More than two-thirds of its team members are musicians, and they regularly host writing camps with producers and artists, per a Suno spokesperson.
Suno turns to customization with v5.5. Suno launches V5.5 update for its AI music model. Artificial Intelligence (AI) has taken center stage in the music industry, and Suno is not being left behind. The firm has just unveiled the latest update to its AI music model - version 5.5. This update is seen as a major milestone in the development of Suno's AI platform as it comes with significant upgrades and new features. Previous updates focused mainly on improving fidelity and creating more natural voices. However, version 5.5 seeks to hand more control to the users, enhancing their interaction with the AI music model. This upgrade introduces three new features - Voices, My Taste, and Custom Templates. Let's dig deeper into what each of these features brings to the table. New feature: voices. In the release notes, Suno indicates that Voices has been the most requested feature. This feature empowers users to train the voice model using their own voices. Users can upload clear acapellas, finished music pieces with accompanying music, or even sing directly into the microphone of their phone or laptop. The cleaner and better quality the recording, the less data the system needs to train the voice model. To prevent unauthorized use of another person's voice, Suno requires the user to also say a verification phrase. This is a security measure, although there might be possibilities of fooling the system with existing AI models of celebrity voices. Once the Voices feature is trained, users can then create an AI version of themselves singing along to uploaded music or AI-generated output. New feature: Custom Templates. The Custom Templates feature is another key highlight of the v5.5 update. This feature enables users to train Suno to their own music. To use this feature, users need to upload at least six titles from their catalog and name the personalized template. They can then use it to guide version 5.5's responses to the prompts, thereby personalizing the outputs. New feature: My Taste. The third feature, My Taste, is designed to learn and adapt to the user's tastes and preferences over time. It keeps track of the genres, moods, and artists that users frequently interact with for prompts and applies them when the magic wand is used to automatically generate styles. These features are set to revolutionize how users interact with Suno's AI music model. However, it's worth noting that while My Taste will be available to all users, custom voices and templates will be exclusively available to Pro and Premier subscribers. This significant upgrade underscores Suno's commitment to enhancing user experience and transforming the music industry using AI. With these new features, users can look forward to a more personalized and sophisticated interaction with the AI music model. For more details on the new features and how to use them, visit the official Suno website or check out the v5.5 release notes. Stay tuned for more updates and news on Suno's AI music model.
Suno introduces MILO-1080 step sequencer as it expands its AI music tools. Suno is moving beyond prompt-based music creation, with a new 16-track step sequencer. Suno's latest release suggests AI music tools are continuing to shift beyond simple prompt-based creation. Its new feature, MILO-1080, short for "Model-Integrated Loop Orchestrator", focuses more on structured music production than instant results. At its core, MILO-1080 is a step sequencer. This type of tool is typically used by producers to build rhythms and patterns in a more controlled way. That alone signals a move towards users with some level of production knowledge, rather than those simply experimenting with text-to-music outputs. This direction reflects a broader change in how Suno is positioning itself. Earlier this month, Suno announced it had hit over 2 million paid subscribers, highlighting just how quickly the platform is growing. The tools on offer are evidently evolving alongside that rapid growth, giving users more detailed creative control. MILO-1080 is currently available in Suno's 'Labs' section as a preview. It is described as "a quirky, fun-first, mixed compositional, generative, procedural, sample friendly, MIDI enabled, 16-track step sequencer and synth designer". In practice, it allows users to generate sounds via prompts, reuse clips from previous projects, or create sounds manually using a built-in synth engine. This mix of AI assistance and manual input is becoming more common. It also aligns with Suno's earlier push into production tools, including its own DAW launch last year. The focus appears to be on keeping users more involved in the creative process, rather than removing them entirely. According to reporting from Music Ally, this shift is deliberate. Developer Kieron Donoghue said, "MILO-1080 is a step sequencer. That's not a tool for casual users... that's a tool for people with some music production experience." He added, "Suno is clearly saying, we're not just for beginners anymore." Suno's current direction has been developing over time. It first gained attention for its prompt-based music creation, but has since expanded with more detailed editing features, the acquisition of a browser-based DAW, and the launch of its own studio environment. Altogether, this shows a gradual shift towards offering a broader set of tools for making music, rather than focusing on a single feature. As Donoghue put it, "Each step brings them closer to being a full creative platform for musicians at every level." Beyond creation, there are also questions around discovery and data. Music Ally also reports that Donoghue has built a prototype tool called SunoCharts, which demonstrates how analytics could work if Suno introduces an API. It suggests a future where trends, genres, and even prompts could be tracked more clearly. However, there are potential barriers. Ongoing legal challenges around copyright may affect how far Suno can open up its data and tools. Donoghue pointed out the risks, saying, "Third parties might use Suno's data or capabilities in ways that create legal or brand risk... And once you open an API, you can't easily close it without it leaving a really bad taste in the ecosystem." Overall, MILO-1080 highlights how AI music platforms are continuing to develop more complex tools. While this may offer more control for some creators, it also raises ongoing questions about how these technologies fit into the wider music industry.
Why Meta should acquire Suno AI to dominate social media. Meta built a trillion dollar empire by giving users simple tools to express themselves. Acquiring Suno AI would instantly transform Instagram into the most powerful autonomous music label on earth. Text generation is becoming a commodity. The next massive unlock for user retention and ad performance lies entirely in generative audio. Inspiration: Observing the massive spike in Instagram engagement whenever users are given new creative audio tools. Realizing that integrating generative music directly into stories and ads would create an unbeatable psychological loop. The sonic evolution. When Instagram first allowed users to add licensed music to their stories, the platform transformed overnight. A static photo of a sunset suddenly carried deep emotional weight. This simple auditory layer caused engagement and daily active usage metrics to absolutely skyrocket. Humans are fundamentally wired to respond to music. Providing a frictionless way to add a soundtrack turned passive scrollers into active directors of their own digital lives. The generative audio lead. Suno AI is currently the dominant force in generative music. It allows any user to type a simple text prompt and instantly generate a fully produced song complete with vocals and instrumentation. It effectively turns anyone with an internet connection into a professional audio engineer. The big tech arms race. Major technology companies are already aggressively pursuing this exact market. Google is heavily investing in their own proprietary audio models to eventually integrate with YouTube Shorts. Meta needs a proven, consumer ready product immediately to prevent falling behind in the audio wars. Building a world class music generation model from scratch is incredibly expensive and time consuming. Acquiring Suno AI would allow Meta to bypass the research phase and instantly deploy the best product to billions of users. The contextual soundtrack. Imagine the immediate engagement unlock if Suno was integrated directly into the Instagram story camera. A user could record a video of their morning commute and tap a single button. The AI would read the visual context and instantly generate a bespoke soundtrack for that specific ten second moment.