Splice

πŸ‘₯ 101-250πŸ’° $55,000,000 Series D almost 4 years agoMedia and EntertainmentMusicMachine LearningSoftwareπŸ’Ό 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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πŸ“ US

πŸ’Έ 117500.0 - 130000.0 USD per year

πŸ” Music/Creative industry

  • 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.
  • 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 14 days ago
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πŸ“ US, UK

🧭 Full-Time

πŸ’Έ 235000.0 - 255000.0 USD per year

πŸ” Music technology

  • Proven expertise in technical leadership within a cross-functional and distributed team environment.
  • Outstanding communication and organizational skills with a user-centric mindset.
  • Experience implementing agile methodologies, particularly Kanban and/or Lean.
  • Experience leading teams building production features for SaaS applications.
  • Proficient in strategy planning and stakeholder management.
  • Expertise in guiding senior engineers and identifying growth avenues.
  • Proven track record of mentoring early-career engineers in their personal and business impact.
  • Lead, coach, and grow multiple engineering teams building the Splice Sounds product experience.
  • Collaborate with product leadership to drive a culture of empowered teams and foster ownership.
  • Define clear objectives for the team and lead in achieving those goals.
  • Establish and maintain efficient processes for team productivity.
  • Stay current on technologies, best practices, and trends in software development.
  • Mentor early-career managers and engineers for their growth.
  • Collaborate with senior engineers to shape technical strategy.
  • Foster a culture of innovation and continuous improvement.
  • Champion engineering best practices and maintain high standards.

LeadershipSoftware DevelopmentAgileMentoringStakeholder managementSaaS

Posted 16 days ago
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πŸ“ U.S.

πŸ’Έ 135000.0 - 147500.0 USD per year

πŸ” Music production

  • Minimum 5 years of experience building and shipping AI/ML-driven personalization products.
  • Deep understanding of search technologies (e.g., Elasticsearch, Solr), personalization algorithms, and machine learning models.
  • Proven track record with making data-informed decisions and defining metrics.
  • Strong relationship-building abilities and collaborative mindset.
  • Experience delivering products end-to-end that drive measurable business outcomes.
  • Strong understanding of UX/UI and user experience mapping.
  • 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.
  • Translate complex technical capabilities into clear product requirements.
  • Design and implement A/B tests and multivariate experiments.
  • Communicate effectively with all stakeholders.
  • Collaborate with design to create intuitive user experiences.
  • Define and track key performance metrics (KPIs).
  • Conduct user research and analyze behavioral data.
  • Analyze experiment results and draw actionable insights.
  • Stay updated with industry trends and technologies.

Data AnalysisElasticSearchMachine LearningA/B testing

Posted about 2 months ago
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πŸ“ U.S.

🧭 Full-Time

πŸ’Έ 185000 - 200000 USD per year

πŸ” Music technology

  • 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.
  • 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 3 months ago
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πŸ“ U.S.

🧭 Full-Time

πŸ’Έ 165000 - 206000 USD per year

πŸ” Music and Audio Technology

  • 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.
  • 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 4 months ago
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