Education Requirements:

• Bachelor’s degree or higher in Finance, Accounting, Economics, or a related field

Experience Requirements:

• Extensive professional experience in finance, risk assessment, or accounting roles

Other Requirements:

• Finance

• Risk

• Accounting

• Exceptional written and verbal communication skills

• Keen eye for detail and clarity

• Proven ability to distill complex information and explain it in accessible terms

• Strong analytical skills

• Experience with financial modeling and interpretation

• Familiarity with AI concepts

• Willingness to learn rapidly in a tech-driven environment

• Self-motivated

• Adept at managing responsibilities in a fully remote setting

• CFA, CPA, or FRM certifications

Responsibilities:

• Develop and review finance-related content to train and enhance AI systems for accuracy and relevancy.

• Evaluate, validate, and correct AI-generated outputs in the domains of finance, risk management, and accounting.

• Collaborate cross-functionally with engineers and product teams to identify knowledge gaps and improve AI learning algorithms.

• Translate complex financial concepts into clear, understandable language for AI systems and end-users.

• Maintain up-to-date knowledge of financial regulations, trends, and best practices to ensure high-quality guidance.

Experience Requirements:

• 10+ years of overall experience with Oracle ERP technical stack

• Minimum of 8 years hands-on expertise with Oracle PaaS and Fusion technologies

Other Requirements:

• oracle integration cloud (oic)

• oracle fusion cloud applications

• oracle paas

• vbcs (visual builder cloud service)

• pcs (process cloud service)

• application composer

• atp/dbcs (autonomous transaction processing/database cloud service)

• fusion financials (gl, ap, ar, fa, ppm, pc)

• fusion procurement modules

• rest

• soap

• wsdl

• bi publisher

• otbi

• fusion reporting tools

• fbdi (file-based data import)

• adfdi (application desktop integrator)

• hdl (hcm data loader)

• data migration

• requirements gathering

• technical analysis

• solution design

• testing

• go-live support

• written communication

• async collaboration

• independent work

• adaptability

• Deep proficiency in Oracle Integration Cloud (OIC) and key PaaS development tools

• Functional and technical expertise with Fusion Financials and Procurement modules

• Advanced knowledge in web service development (REST, SOAP, WSDL)

• Extensive reporting skills using BI Publisher and OTBI

• Proficiency in data migration techniques: FBDI, ADFDI, HDL

• Excellent written communication skills

• Thriving in asynchronous team environments

Responsibilities:

• Lead the design, development, and implementation of Oracle Integration Cloud (OIC) solutions.

• Build and enhance integrations utilizing VBCS, PCS, Application Composer, and ATP/DBCS.

• Deliver technical solutions across Oracle Fusion Financials (GL, AP, AR, FA, PPM, PC) and Procurement modules.

• Develop and consume REST, SOAP, and WSDL-based web services for seamless system connectivity.

• Create and optimize reporting using BI Publisher, OTBI, and Fusion reporting tools.

Experience Requirements:

• Minimum 3 years of experience as in-house counsel or advisor to corporate clients specializing in technology law, regulatory compliance, or data protection

Other Requirements:

• Data Privacy & Protection

• Regulatory Compliance

• Technology Law

• Cross-Border Data Transfer

• Contract Drafting & Negotiation

• Expertise in GDPR, DORA, EU Data Act, EU AI Act, DSA, DMA, and cross-border data transfer/localization laws

• Proven ability to draft and negotiate complex technology and data-related contracts

• Exceptional written and verbal communication skills

• Keen focus on clarity and training effectiveness

• Strong analytical skills

• Problem-solving abilities

• Organizational abilities

• Demonstrated experience translating legal concepts into accessible, actionable guidance for diverse audiences

• Self-motivated

• Adaptable

• Adept at thriving in fast-paced, remote environments

Responsibilities:

• Design and deliver engaging AI training modules focused on data privacy, protection, and regulatory compliance for internal stakeholders.

• Advise on cross-border data transfer, localization requirements, and emerging legal standards impacting AI and technology deployments.

• Draft, review, and negotiate contracts with a focus on data-driven projects and compliance with evolving regional and global laws (GDPR, DORA, EU AI Act, DSA, DMA, EU Data Act, etc.).

• Monitor legislative developments and proactively update internal policies and training content to ensure continued compliance.

• Serve as a trusted in-house resource, answering inquiries and providing practical, timely legal guidance to the customer's team.

Experience Requirements:

• Minimum 3 years of experience as in-house counsel or external advisor on data privacy, technology law, or cross-border data transfer

Other Requirements:

• Data Privacy & Protection

• Regulatory Compliance

• Technology Law

• Cross-Border Data Transfer

• Contract Drafting & Negotiation

• Deep understanding of EU and international data protection frameworks (GDPR, DORA, EU Data Act, EU AI Act, DSA, DMA)

• Proven expertise in drafting and negotiating technology contracts and data transfer agreements

• Strong analytical skills

• Ability to distill complex legal concepts into clear, actionable guidance

• Outstanding written and verbal communication skills

• Commitment to clarity and precision

• Demonstrated experience in advising corporate clients or working within innovative, technology-driven environments

• Ability to operate independently in a remote, fast-paced, and cross-functional setting

• Fluency in multiple European languages

Responsibilities:

• Advise on the implementation and interpretation of major data protection and technology regulations (GDPR, DORA, EU Data Act, EU AI Act, DSA, DMA).

• Draft and negotiate technology contracts, focusing on data privacy, protection clauses, and cross-border data transfer requirements.

• Provide comprehensive regulatory compliance guidance tailored to cross-jurisdictional environments.

• Support the customer’s team in developing AI training data and legal content, ensuring accuracy and compliance with privacy laws.

• Identify, assess, and mitigate legal risks associated with technology and data-driven projects.

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Education Requirements:

• Master’s degree preferred

Experience Requirements:

• 5+ years of experience in management consulting, business strategy, strategic/brand marketing, partnerships, or business development - ideally at a high-growth tech or music company

• Proven ability to bring 0→1 initiatives to life, including creating roadmaps, coordinating across teams, and measuring results

• Experience in working closely with tech teams as well as creatives

• A proven ability to build and maintain high-value relationships

• Excellent communication, negotiation, and project management skills

Other Requirements:

• Applicants must be eligible to work in the US

• This role requires working five days/week in our NYC office

Responsibilities:

• Act as right-hand to the Chief Music Officer, as part thought-partner, project manager, part jack-of-all-trades, to ensure the broad and effective growth of our music strategy at Suno.

• Fluency in both creative and analytical environments; able to speak “music” and “product” fluently.

• Deep understanding or willingness to explore artist and fan communities, and how to support both sides of the ecosystem.

• Work cross-functionally with product, engineering, marketing, data and leadership to align external opportunities with internal priorities.

• Develop frameworks to measure partnership success and inform future investment decisions.

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 5+ years experience in data science or machine learning roles with direct experience building recommendation systems - ideally in consumer products, music/audio, or content platforms

• Strong technical skills in Python, SQL, and modern ML techniques for recommendations

• Experience designing and running rigorous experiments, evaluating tradeoffs, deriving clear insights, and making actionable recommendations

• Excellent communication and experience working across multiple functions to influence decisions

• A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning

Other Requirements:

• Applicants must be eligible to work in the US.

• This is an onsite role in Cambridge, NYC, Venice Beach, or SF

Responsibilities:

• Define content strategy

• Get hands-on: Dive deep into user behavior patterns and content characteristics, using these insights to prototype and improve upon recommendation algorithms and features

• Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements and measure impact on user engagement, retention, and music creation

• Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality across multiple dimensions - relevance, diversity, novelty, and user satisfaction

• Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms and with product to shape user experience

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 5+ years experience in data science, with specific experience in growth and paid / performance marketing

• Strong quantitative foundation and experience in statistical modeling

• Expertise in experimental design, with demonstrated experience running both product and marketing experiments

• Worked closely on defining and measuring growth, onboarding, and retention metrics

• Advanced proficiency in SQL and Python for data analysis, statistical modeling, and automation

Other Requirements:

• Applicants must be eligible to work in the US.

• Suno employees are expected to work 5 days/week in one of our offices.

Responsibilities:

• Drive growth strategy through rigorous analysis of both product usage patterns and marketing channel performance

• Design and analyze experiments across product features and marketing campaigns to optimize user acquisition, activation, and retention

• Develop and maintain attribution models to understand the effectiveness of various growth channels and optimize marketing spend

• Build predictive models for user behavior, including conversion propensity, churn likelihood, and lifetime value

• Partner with data engineering to ensure robust data collection and transformation for growth analytics

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 3-5 years experience developing Android applications

• Strong knowledge of Kotlin and Android fundamentals

• Experience with Jetpack Compose and modern Android development practices

• Familiarity with building responsive and interactive user interfaces

• Understanding of Android design patterns and best practices

Other Requirements:

• Applicants must be eligible to work in the US.

Responsibilities:

• Design and build Suno’s Android app for creating, exploring, and listening to music

• Create foundational abstractions and libraries for performant, highly interactive media experiences

• Own feature development from zero to one, and beyond.

• Contribute to design and product decisions across the app

• Optimize the performance, joy, beauty, and feel of our products

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 5+ years of experience in data engineering, with a strong grasp of Big Data engineering concepts, data architecture design, and performance optimization.

• Experience with data modeling, warehousing and building ETL pipelines.

• Experience with SQL and Python.

• Experience in scaling data pipelines from the ground up (0 to 1)

Other Requirements:

• Applicants must be eligible to work in the US.

• Passion for engineering excellence, rapid iteration, learning, and hard work.

Responsibilities:

• Serve as a critical contributor to the Suno products team, providing insights and solutions that influence high-level decisions and shape the product roadmap.

• Design, develop, and maintain complex data products, systems, platforms, and pipelines to build scalable, secure, and high-quality big data solutions that seamlessly integrate diverse data sources, process high-volume real-time and batch data, and ensure data integrity, quality, and compliance.

• Collaborate with scientists, ML engineers, software developers, business leaders, and product teams to define data requirements, architect solutions, and implement data-driven opportunities that enhance customer experiences.

• Leverage advanced analytics and data engineering practices to uncover actionable customer insights that drive the development of innovative and enhanced customer experiences for Suno.

• Implement and monitor data systems to ensure high availability, reliability, and scalability while advocating for and applying best practices in big data engineering and analytics.

Benefits:

• Generous Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 3-5 years of backend or full-stack development experience

• Strong foundation in software engineering principles and practices

• Experience with web technologies and modern frameworks (Python, Django, React, or similar)

• Familiarity with databases and data storage solutions (Postgres, Redis)

• Strong problem-solving skills and attention to detail

Other Requirements:

• Applicants must be eligible to work in the US.

Responsibilities:

• Build Suno’s apps for creating, exploring, and listening to music

• Architect and build services to handle massive consumer traffic, data, and usage

• Design systems that are performant, scalable, and easy to observe

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Experience Requirements:

• 3+ years commercial experience in software engineering with Python

• Strong programming skills in Python (clean code, OOP)

• Hands-on experience with LLMs and Generative AI

• Experience with backend frameworks (FastAPI) and SQL/NoSQL databases

• Practical experience in cloud environments (AWS, GCP, Azure)

Other Requirements:

• Personal project or practical frontend experience (React, Node.js, Nest.js, Typescript)

• Practical experience and strong interest in Data Science and Machine Learning

• Curiosity about latest trends in GenAI (IDP, Embeddings, Vector Databases, OpenSource LLMs)

Responsibilities:

• Support the development of scalable AI systems, including LLMs and GenAI, under the guidance of senior engineers

• Assist in transforming Data Science prototypes into production-ready solutions

• Build and enhance backend components for advanced AI systems using Python and frameworks like FastAPI

• Ensure code quality and implement good software engineering practices

• Participate in the deployment and maintenance of solutions in a cloud environment (GCP, AWS, Azure)

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• 5+ years of proven commercial experience in implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python or Java/Scala: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Hands-on experience with Big Data technologies like Spark, Airflow, Iceberg, CI/CD, Kafka

• Proven expertise in implementing and deploying solutions in cloud environments (with a preference for AWS)

Other Requirements:

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

• Fluent English (C1 level) is a must

Responsibilities:

• Design and develop scalable data management architectures, infrastructure, and platform solutions for streaming and batch processing using Big Data technologies like Apache Spark, Airflow, Iceberg

• Design and implement data management and data governance processes and best practices

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on data analysis and Machine Learning projects, including text/image analysis and predictive model building

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• Proven track record in managing technical teams and leading end-to-end projects

• Experience working with corporate clients

• Hands-on experience with Data Science applications (NLP, Computer Vision, Generative AI, Machine Learning, Predictive Modeling)

• Hands-on experience in ETL, data preparation, and data wrangling techniques

• Proficiency in Python and cloud platforms (preferably Azure, AWS)

Other Requirements:

• Strong critical thinking and problem-solving abilities

• Excellent communication and presentation skills

• Advanced English Skills – C1 proficiency level or higher

Responsibilities:

• Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions

• Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth

• Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs

• Building technical solutions that deliver measurable value

• Identify opportunities to expand service offerings and project potential with clients

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• 6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI)

• Experience in leading end-to-end Machine Learning projects and managing cross-functional teams

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow)

• Proven expertise in deploying solutions in cloud environments (preferably AWS and/or Azure)

Other Requirements:

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills

• Understand clients’ needs and translate business problems into data science problems

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI)

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow)

• Proven expertise in deploying solutions in cloud environments (AWS or Azure)

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

Other Requirements:

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

• Familiarity with MLOps practices, Kubernetes and Docker

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Understand clients’ needs and translate business problems into data science problems

• Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s degree in technical or mathematical studies

Experience Requirements:

• At least 4 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes

• Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design

• Hands-on with Big Data technologies like Spark, Cloudera, Data Platform, Airflow, NiFi, Docker, Kubernetes, Iceberg, Trino or Hudi

• Excellent understanding of dimensional data and data modeling techniques

• Experience implementing and deploying solutions in cloud environments

Other Requirements:

• Consulting experience with excellent communication and client management skills, including prior experience directly interacting with clients as a consultant

• Ability to work independently and take ownership of project deliverables

• Fluent English (at least C1 level)

• Experience with an MLOps framework such as Kubeflow or MLFlow

• Familiarity with Databricks, dbt or Kafka

Responsibilities:

• Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability

• Design and implement data pipelines that process large volumes of data in both streaming and batch modes

• Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow

• Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently

• Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• At least 1 year of proven commercial experience developing, or maintaining Big Data systems

• Hands-on experience with Big Data technologies, including Databricks, Apache Spark, Airflow, and DBT

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Practical knowledge of DevOps practices, including designing and maintaining CI/CD pipelines for data and ML workflows, and Terraform for Infrastructure as Code

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• At least 3 years of commercial experience implementing, developing, or maintaining Big Data systems

• Strong programming skills in Python: writing a clean code, OOP design

• Experience in designing and implementing data governance and data management processes

• Familiarity with Big Data technologies like Airflow or Dagster, Databricks, Spark, Azure Event Hub or Kafka

• Experience implementing and deploying solutions in cloud environments (with a preference for Azure)

Other Requirements:

• Knowledge of how to build and deploy Power BI reports and dashboards for data visualization

• Excellent understanding of dimensional data and data modeling techniques

• Excellent communication skills and consulting experience with direct interaction with clients

• Ability to work independently and take ownership of project deliverables

Responsibilities:

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster

• Contribute to the development of CI/CD and MLOps processes

• Develop applications to aggregate, process, and analyze data from diverse sources

• Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building

• Develop and organize data transformations using Databricks/DBT and Apache Airflow

Benefits:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or higher in Computer Science, Mathematics, Physics, or related field

Experience Requirements:

• Proven track record in managing technical teams and leading end-to-end projects

• Experience working with international corporate clients

Other Requirements:

• Strong critical thinking and problem-solving abilities

• Excellent communication and presentation skills

• Advanced English Skills – C1 proficiency level or higher

• Proficiency in Python, cloud platforms (preferably Azure, AWS), and SQL

• Hands-on experience with Data Science or Big Data applications and tools (LLM, Generative AI, Machine Learning, Computer Vision, Predictive Modeling)

Responsibilities:

• Be responsible for project management and technical leadership for data science and big data projects. Maintaining top-quality and client-focused deliverables to meet and exceed their expectations towards delivered solutions

• Manage and mentor a team of data scientists, ensuring they are engaged, motivated, productive, and are provided with regular feedback to support growth

• Act as a trusted advisor, proposing effective approaches and data science architectures tailored to client needs

• Identify opportunities to expand service offerings and project potential with clients

• Take part in pre-sales activities, connecting technical solutions to client needs

Experience Requirements:

• 3+ years in Customer Success or Support at a SaaS company, including mentoring or team lead experience.

• Proven onboarding and training skills for customer accounts.

• K-12 background (teacher or admin) or edtech experience.

• Helpdesk/chat experience and CRM experience.

• Startup or bootstrap experience building processes from scratch.

Other Requirements:

• Excellent written and verbal English.

• High technical proficiency with web apps, spreadsheets, and CRMs.

• US-based and able to work eastern US school hours.

Responsibilities:

• Lead, mentor, and work the queue: coach one support rep and spend daily time in chat and email, meeting SLAs and handling escalations.

• Own onboarding for new school and district Premium accounts: kickoff, success plans, training, first value.

• Drive adoption and renewals: monitor health, run proactive check-ins, partner with Sales on retention.

• Implement rosters and integrations (Google, Clever/ClassLink) and light data imports.

• Create training: live sessions and simple guides or short videos for teachers and admins.