Splice

👥 101-250💰 $55,000,000 Series D about 4 years agoMedia and Entertainment Music Machine Learning Software💼 Private Company

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Splice empowers music creators worldwide by providing a comprehensive platform for sound discovery and production. We combine a vast catalog of high-quality licensed samples with powerful AI tools to accelerate the creative process. Our rent-to-own marketplace further expands access to essential plugins and DAWs, making professional-grade music production more accessible. Splice occupies a leading position in the music technology industry, impacting how millions of artists create and share their work. Our unique value proposition lies in seamlessly blending cutting-edge technology with a deep understanding of the creative workflow. Our engineering teams leverage a robust tech stack including Go, Python, TypeScript/NodeJS, GraphQL, Elasticsearch, and cloud services like AWS. We champion a collaborative, remote-first culture fostering innovation and flexibility. Our 'DISCO' values – Direct, Inclusive, Splice Together, Creator Centric, and Optimistic – guide our interactions and decision-making. We are committed to ethical and responsible AI development, prioritizing a creator-centric approach. Splice is a well-funded, rapidly growing company with a strong track record of success. We've secured multiple rounds of funding and consistently deliver innovative features and improvements. We're a team of passionate music lovers and technology experts working together to shape the future of music creation. Our commitment to remote work allows us to attract and retain top talent from across the globe, fostering a diverse and inclusive team. We offer a supportive work environment with benefits that include unlimited PTO, comprehensive healthcare, and generous parental leave. Join Splice and contribute to a company transforming the music industry.

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🔥 Sr. Applied Machine Learning Researcher - Generative Models (US Remote)

Posted about 21 hours ago

📍 United States

🧭 Full-Time

💸 170734.0 - 213418.0 USD per year

🔍 Software Development

🔧 Requirements

Ph.D. or Master's degree in Electrical Engineering, Computer Science or related Engineering discipline.
Background or proven experience in Digital Signal Processing.
Proven experience (2+ years) in an Applied Research role focused on Latent Diffusion based generative models for audio and/or symbolic music generation using Transformer-based architectures.. Alternatively, solid experience with diffusion-based models in the image domain, would be considered.
Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
Familiarity with software development best practices and version control systems (e.g., Git).
Strong communication and collaboration skills, with the ability to work cross-functionally with stakeholders in Engineering, Product and Design.

💡 Responsibilities

Conduct literature research and experimentation in the field of ML-based generative audio using Latent Diffusion and symbolic music generation using Transformer-based architectures.
Collaborate with our ML Engineers to design performant model architectures for efficient ML-based audio synthesis and symbolic music generation, as well as adapting and fine-tuning existing models.
Develop proof-of-concept prototypes to showcase and validate capabilities and use cases using generative audio/symbolic models.
Engage with academic and open source communities to stay up to date with the latest developments in the space, collaborate in joint projects, and identify top talent for our AI & Audio Science team’s future hiring needs.
Stay up-to-date with the latest academic and industrial research in generative models for music, incorporating relevant findings into our applied research and product development processes.
Document research findings, methodologies, and best practices. Collaborate with team members to disseminate knowledge and insights.

PythonSoftware DevelopmentSQLData AnalysisGitImage ProcessingMachine LearningNumpyPyTorchAlgorithmsData StructuresTensorflowCommunication SkillsCollaborationCI/CDRESTful APIsDocumentationPrototypingSoftware Engineering

Posted about 21 hours ago

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🔥 Sr. People Business Partner

Posted 1 day ago

📍 United States, UK

🧭 Full-Time

💸 130051.0 - 162564.0 USD per year

🔧 Requirements

8-10+ years of HR experience, ideally in a high-growth organization.
Experience strategically partnering with department heads or senior leadership.
Strong ability to identify business priorities and recommend innovative People & Culture strategies.

💡 Responsibilities

Engage with assigned departments to build strong, collaborative relationships and serve as a trusted advisor to leaders and employees.
Deeply understand business objectives, identify key priorities, and recommend innovative People & Culture strategies that drive impact.
Provide strategic People & Culture guidance to align people strategies with business objectives and contribute to organizational growth and success.

LeadershipData AnalysisPeople ManagementHR ManagementCross-functional Team LeadershipCommunication SkillsOrganizational skillsCoachingInterpersonal skillsTrainingRecruitmentStrategic thinkingChange Management

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🔥 Sr. Technical Product Manager, Personalization

Posted 7 days ago

📍 US

💸 135000.0 - 186000.0 USD per year

🔧 Requirements

Minimum 5 years of experience building and shipping AI/ML-driven personalization products at scale with teams of full-stack engineers, designers, and data scientists.
Deep understanding of search technologies (e.g., Elasticsearch, Solr), personalization algorithms, and machine learning models.
Proven track record with making data-informed decisions, experimentation-driven decision-making, data analysis, and defining metrics.
Strong relationship-building abilities and a collaborative mindset; skilled at partnering with direct and cross-functional teams, aligning stakeholders, achieving consensus, and driving impactful results.
Experience delivering products end-to-end that drive measurable business outcomes.
Strong understanding of design principles, UX/UI, usability, and user experience mapping.

💡 Responsibilities

Develop and own the product vision, strategy, and roadmap for Search & Personalization.
Partner closely with engineering and data science teams to ship products and features that enhance user engagement, improve the user’s search experience, and drive value through deeply personalized experiences.
Translate complex technical capabilities into clear product requirements and prioritize them effectively.
Design and implement A/B tests and multivariate experiments to improve key metrics such as activation rates, user engagement, and retention.
Communicate effectively with stakeholders at all levels of the organization, presenting findings and driving consensus on experimentation priorities.
Partner with design to create intuitive user experiences that make discovery seamless and enjoyable.
Define and track key performance metrics (KPIs) to evaluate success and drive continuous improvement.
Conduct user research and analyze behavioral data to deeply understand user needs and inform product decisions.
Communicate product strategy, goals, and updates to stakeholders across the organization, including leadership.
Analyze experiment results, draw actionable insights, and make recommendations for product enhancements and iterations.
Stay up to date with industry trends and technologies to keep Splice at the forefront of Search & Personalization innovation.

SQLData AnalysisElasticSearchMachine LearningProduct ManagementUser Experience DesignA/B testing

Posted 7 days ago

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🔥 Principal Technical Product Manager, Personalization

Posted 7 days ago

📍 United States

💸 181705.0 - 227000.0 USD per year

🔍 Music

🔧 Requirements

7-10 years of experience leading AI/ML-driven personalization or search product development at scale, including direct experience with recommendation engines, search relevance, and ranking algorithms.
Expertise in search technologies (e.g., Elasticsearch, Solr), personalization algorithms, and machine learning techniques.
Proven track record of driving business impact through AI-powered product initiatives, with experience influencing executives and aligning teams around a shared vision.
Strong analytical skills with experience designing and interpreting A/B tests, analyzing large data sets, and using data to drive decision-making.
Exceptional ability to partner with engineering, data science, design, and business stakeholders to deliver high-quality, scalable solutions.
Deep understanding of user behavior, design principles, and usability best practices in digital discovery experiences.

💡 Responsibilities

Envision and define personalized sound discovery experiences, tailored to each customer's intent, that operates seamlessly across Splice’s products.
Drive roadmap to implement recommendation experiences, invent ways to multiply the rate of innovation across the company on behalf of our customers.
Establish a robust experimentation framework, designing and implementing A/B tests to measure and optimize key performance metrics such as relevance, engagement, customer activation and retention.
Work with a team of engineers, data scientists, engineering managers, and designers to define and execute a product roadmap to understand customers' intent and help complete their sound discovery missions.
Anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance customer and business needs versus technical constraints.
Clearly communicate goals, requirements, roadmaps, and timelines to internal cross-functional in a fully remote environment.
Serve as a thought leader and technical expert, working closely with engineering and data science to develop cutting-edge recommendation experiences.
Monitor industry trends and advancements in AI, search, and recommendation systems, bringing innovative ideas to Splice to maintain a competitive edge.
Mentor and guide cross-functional team members, fostering a culture of excellence and high-impact execution.

Business IntelligenceData AnalysisElasticSearchMachine LearningProduct ManagementAlgorithmsData scienceData visualizationA/B testing

Posted 7 days ago

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🔥 Senior Growth Marketing Manager, Influencer & Affiliate

Posted 14 days ago

📍 US, UK

💸 122500.0 - 135000.0 USD per year

🔍 Music, Tech, Entertainment

🔧 Requirements

4+ years of experience in influencer marketing, affiliate marketing, or a related field
Proven track record of running successful influencer and affiliate campaigns
Strong understanding of influencer and affiliate marketing strategies, tools, and best practices
Experience with influencer marketing platforms (ie: Later and Rakuten)
Excellent written and verbal communication skills

💡 Responsibilities

Identify, recruit, and engage with key influencers
Develop and manage influencer campaigns
Oversee the day-to-day management of Splice’s affiliate marketing program
Work closely with Product Marketing, Content, and Brand to create measurable integrated campaigns
Design compelling assets in concert with our creative team that support influencer and affiliate campaign success
Partner with our data and analytics team to dashboard and report on the performance of influencer and affiliate campaigns, providing actionable insights for future strategies.

Project ManagementData AnalysisStrategyAPI testingContent creationREST APICommunication SkillsSEOReportingCross-functional collaborationRelationship managementSales experienceMarket ResearchData visualizationMarketingStakeholder managementDigital MarketingBudget managementA/B testing

Posted 14 days ago

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🔥 Senior Executive Assistant - Remote (US West Coast preferred)

Posted 27 days ago

📍 United States

💸 107500.0 - 120000.0 USD per year

🔍 Music

🔧 Requirements

5+ years of proven experience in an executive assistant or similar role.
Proficient in calendar management across time zones, task coordination, and time management.
Extremely well organized and detail-oriented
Excellent verbal, written, and interpersonal communication skills
Demonstrated ability to anticipate needs, address potential issues, and make quick, informed decisions
Proven experience in planning, organizing, and managing events, including meetings, conferences, and special events
Efficient with remote work tools such as Zoom, Google Workspace, and Slack

💡 Responsibilities

Responsible for scheduling appointments, meetings, and events on behalf of the executive.
Manage all requested aspects of the executive's travel arrangements, including booking flights, hotels, transportation, and other accommodations as necessary.
Oversee the preparation, submission, and tracking of expense reports for the executive.
Provide logistical support for various administrative tasks and projects as assigned by the executive.
Assist with managing and organizing materials related to the executive's projects or initiatives.

Project CoordinationAdministrative ManagementCommunication SkillsAttention to detailOrganizational skillsTime ManagementWritten communicationMicrosoft Office SuiteExcellent communication skillsBudget management

Posted 27 days ago

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🔥 Product Marketing Manager - Sounds & Growth (Remote - US)

Posted about 2 months ago

📍 US

💸 117500.0 - 130000.0 USD per year

🔍 Music/Creative industry

🔧 Requirements

3-5 years of Product Marketing experience.
Defining go-to-market strategy and executing campaigns.
Leveraging data-driven insights for decision-making.
Capturing and using customer insights effectively.
Crafting compelling messaging and positioning.
Cross-functional collaboration within teams.
Music or creative industry experience.

💡 Responsibilities

Develop and execute go-to-market strategies for Splice Sounds.
Drive growth and adoption by partnering with Product Management on subscriber initiatives.
Define and refine positioning and messaging to resonate with music creators.
Understand customer needs through research to align marketing strategies.
Collaborate with Product, Marketing, Data, and CX teams.
Measure and optimize marketing performance using data-driven insights.
Stay updated on trends in music production and innovation.

Data AnalysisCross-functional collaboration

Posted about 2 months ago

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🔥 Sr. Data Engineer I (Remote - US)

Posted about 2 months ago

📍 U.S.

💸 142500.0 - 155000.0 USD per year

🔍 Music technology

🔧 Requirements

5+ years of experience building scalable and durable software.
Demonstrated mastery of Python, SQL, and Unix fundamentals.
Operational excellence in maintaining Data Warehouses such as GCP BigQuery or AWS RedShift.
Strong familiarity with data transformation frameworks like sqlmesh or dbt.
Experience with business intelligence platforms or data visualization frameworks like Looker, Hashtable, or Observable.
Strong debugging skills, especially with distributed systems.
Experience building supporting Cloud Infrastructure with Google Cloud Platform (GCP) and Amazon Web Services (AWS).
Clear and consistent communication in a distributed environment.

💡 Responsibilities

Own and operate the structure of the Data Warehouse, ensuring reliable ingestion of mission-critical data and reliable builds of our pipelines.
Build and maintain self-service tools and extensible datasets for organizational insights.
Identify and execute projects addressing scalability issues, automating workflows, and simplifying datasets for analytics.
Ensure data quality through tests, observability, RFC reviews, and guidance in data modeling.
Participate in business hours-only on-call rotation to maintain system uptime and quality.
Cultivate a culture of data literacy and data-driven decision making.

AWSPythonSQLGCPData engineeringData visualizationDebugging

Posted about 2 months ago

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🔥 Senior Software Engineer II, ML Core (Remote)

Posted 4 months ago

📍 U.S.

🧭 Full-Time

💸 185000 - 200000 USD per year

🔍 Music technology

🔧 Requirements

Experience with Elasticsearch and optimizing data representations, queries, and clusters.
Relevant work experience building production software using Go and Python.
Experience deploying and managing ML models in production.
Several years of experience with RDBMS such as MySQL or PostgreSQL.
Experience with SaaS and cloud provider primitives.
Bias towards action and experimentation with a focus on quality.

💡 Responsibilities

Help define the architecture and drive implementation changes across multiple backend services.
Translate large-scale architectural changes into manageable outcomes.
Optimize search infrastructure and create mechanisms for ML model productionalization.
Advocate for system designs and APIs that facilitate best practices.
Deliver complex projects across teams, track progress, and enhance engineering practices.

AWSDockerGraphQLPostgreSQLPythonSQLElasticSearchJenkinsKerasMySQLPyTorchTypeScriptData engineeringGogRPCRDBMSRedisTensorflowCollaborationTerraformSaaS

Posted 4 months ago

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🔥 Senior Machine Learning Research Engineer - Generative Models (Remote)

Posted 6 months ago

📍 U.S.

🧭 Full-Time

💸 165000 - 206000 USD per year

🔍 Music and Audio Technology

🔧 Requirements

Master's or PhD degree in Electrical Engineering, Computer Science or related discipline.
Proven track record in designing, training, evaluating, and deploying ML models in production.
2+ years of hands-on experience with generative model architectures in audio, image, or language domains.
Specific experience with Latent Diffusion Models and Transformer-based architectures.
Proficiency in Python, C/C++, or CUDA and strong skills in ML frameworks like TensorFlow and PyTorch.
Experience with cloud services such as AWS, Azure, or GCP and containerization technologies like Docker and Kubernetes.
Familiarity with software development best practices and version control systems, e.g., Git.

💡 Responsibilities

Design, adapt, and optimize cutting-edge model architectures for generative audio/music applications.
Collaborate with Applied Researchers and ML Engineers to design, train, fine-tune, and deploy scalable models.
Explore and implement core building blocks in generative models such as VAEs, Neural Audio Codecs, GANs, and Transformers.
Integrate ML models into Splice’s products to enhance experiences for music creators.
Conduct performance benchmarking and evaluation to assess accuracy and quality of models.
Stay updated with advancements in machine learning and share insights with the team.
Document experiments and provide technical guidance to team members.

AWSDockerPythonSoftware DevelopmentArtificial IntelligenceGCPGitKubernetesMachine LearningPyTorchC++AzureTensorflowCollaboration

Posted 6 months ago

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