Rocket Lawyer

πŸ‘₯ 251-500πŸ’° $223,000,000 Debt Financing almost 4 years agoLegal TechLaw EnforcementLegalπŸ’Ό Private Company
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Rocket Lawyer empowers individuals, families, and businesses with affordable and accessible online legal services. As the world's largest and most widely used online legal service platform, we've helped over 30 million people create over 50 million legal documents. We offer a comprehensive suite of tools, from document creation and e-signatures to on-call lawyer consultations and expert reviews, all designed to simplify legal complexities. Our unique value proposition lies in making legal services user-friendly and cost-effective, bridging the gap between individuals and professional legal assistance. Our tech stack is built on a robust foundation, utilizing technologies such as Viewport Meta, iPhone/Mobile compatibility, Google Tag Manager, Amazon Web Services, and various security protocols (SSL, HSTS, DNSSEC). We embrace an agile engineering culture that fosters collaboration, innovation, and a commitment to high-quality code. We prioritize a remote-first environment, offering flexible work arrangements across North America, South America, and Europe. Our team is diverse, inclusive and passionate about improving access to justice. Founded in 2008, Rocket Lawyer has experienced significant growth and secured substantial funding, demonstrating our market leadership and commitment to innovation in the legal tech space. We're continuously expanding our platform and our team to meet the evolving needs of our global customer base. We offer a range of benefits and perks, such as unlimited PTO and a free Rocket Lawyer account, demonstrating our commitment to employee well-being. Rocket Lawyer is a dynamic, growth-oriented company committed to making legal services accessible to all. We are a leader in the Legal Tech industry, constantly evolving and creating new solutions to simplify complex legal processes.

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πŸ“ Colorado

πŸ’Έ 106000.0 - 139000.0 USD per year

πŸ” Legal services

  • 5+ years of Python experience.
  • 3+ years leveraging technologies such as Airflow and Apache Spark.
  • Experience working with large language models, diffusion models, or other generative models.
  • Experience with MLOps tools and practices.
  • Strong understanding of data architectures and patterns.
  • Experience with containerization technologies like Docker and Kubernetes.
  • Contributions to open-source projects.
  • Experience in DataOps and MLOps implementation and support.
  • Experience in building and supporting AI/ML platforms.
  • Design, develop, and maintain robust, scalable data pipelines for processing large datasets for AI model training.
  • Perform data cleaning, normalization, transformation, and feature engineering, including handling unstructured data.
  • Build and manage data infrastructure like data lakes and warehouses, optimized for AI workloads.
  • Implement data quality checks and monitoring systems for data accuracy and consistency.
  • Contribute to MLOps best practices for data management and model deployment.
  • Work with GCP and Snowflake for data and AI offerings.
  • Optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness.

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πŸ“ Utah, Arizona, North Carolina

🧭 Full-Time

πŸ’Έ 90000.0 - 142000.0 USD per year

πŸ” Legal services

  • Minimum of 3 years of experience in a relevant field.
  • Computer science degree or related technical experience preferred.
  • Ability to automate system configuration using scripts (shell, ruby, python) and configuration management tools (terraform, chef).
  • Experience with public cloud technologies, preferably GCP.
  • Expertise in RedHat Linux/CentOS.
  • Participate in the adoption of public cloud technologies, optimizing the architecture for better utilization.
  • Evolve build, deployment, and release management towards a continuous integration/continuous deployment model.
  • Collaborate with development teams to improve customer experience and site performance.
  • Apply infrastructure-as-code patterns for reliability in services.
  • Architect monitoring and log analysis frameworks for the Java application stack.
  • Part of the distributed on-call team for a 24/7 production environment.
  • Automate systems to enhance developer productivity and resolve issues across environments.

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πŸ“ Colorado

🧭 Full-Time

πŸ’Έ 96000.0 - 142000.0 USD per year

πŸ” Legal services

  • Minimum of 3 years of experience.
  • Computer science degree or related technical experience preferred.
  • Ability to automate system configuration and management with scripts (shell, ruby, python) and config management tools (terraform/chef).
  • Experience with public cloud technologies, preferably GCP.
  • Proficient in RedHat Linux/CentOS administration and management.
  • Participate in the adoption of public cloud technologies.
  • Optimize architecture and practices for cloud technologies.
  • Evolve build, deployment, and release management towards CI/CD.
  • Collaborate with technology team to support and improve CI/CD.
  • Improve customer experience via performance and reliability enhancements.
  • Monitor customer-facing site performance through data analysis.
  • Implement infrastructure-as-code patterns.
  • Architect monitoring and log analysis frameworks.
  • Be part of the distributed on-call team for production health.
  • Enhance developer productivity through systems automation.
  • Troubleshoot development, test, and production issues.
  • Advise on architectural choices for better customer experience.

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πŸ“ North Carolina

🧭 Full-Time

πŸ’Έ 99000.0 - 131000.0 USD per year

πŸ” Legal services

  • 5+ years of experience as a Data Engineer with successful data warehouse/lake implementation.
  • Deep expertise in Snowflake or similar tools for building data systems.
  • Strong skills in HiveQL and SQL, with knowledge of data warehousing concepts.
  • Proficient programming skills in Python.
  • Understanding of data architectures and patterns.
  • Experience with Apache Spark for large-scale processing is a plus.
  • Familiarity with dbt for modeling in Snowflake preferred.
  • Experience with Google Cloud Platform (GCP) and data services is a plus.
  • Excellent communication skills for cross-functional collaboration.
  • Strong problem-solving skills and dedication to scalable data solutions.
  • Snowflake certification is preferred.
  • Design and develop data pipelines using tools like Apache Airflow or Snowflake's external tables.
  • Translate HiveQL queries to Snowflake SQL for efficient data processing.
  • Utilize dbt in Snowflake for data modeling, focusing on governance.
  • Configure and manage data pipelines in Google Cloud Platform (GCP).
  • Collaborate with analysts to understand data requirements for migration.
  • Monitor and optimize data pipeline performance.
  • Implement automated testing for data quality post-migration.
  • Document the migration process and support the migrated data warehouse.

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πŸ“ California

🧭 Full-Time

πŸ’Έ 180000.0 - 227000.0 USD per year

πŸ” Legal services technology

  • Experience managing teams of 4+ engineers.
  • Experience building AI/ML products using technologies such as LLMs and neural networks.
  • 10+ years experience in high-growth technology environments.
  • Experience with machine learning frameworks like Scikit Learn, XgBoost, Pytorch.
  • Experience building APIs with Java, Spring, Node, or Python.
  • Experience with distributed systems.
  • Be responsible for the work output of one or more engineering teams working on AI/ML features for Rocket Lawyer.
  • Work closely with your team and cross-functional partners to prioritize work for your team.
  • Participate in sprint planning, scrum meetings, and sprint retrospectives.
  • Assign work to engineers based on capabilities and business priorities.
  • Make direct technical contributions by creating technical designs, reviewing code, and writing code.
  • Resolve blockers to keep your team moving forward.
  • Maintain a high standard of technical quality on your team.
  • Coach and mentor your team to perform at the highest level.
  • Participate in hiring and performance management decisions for your team.
  • Clearly communicate your team’s goals, priorities, and accomplishments.

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Posted 13 days ago
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πŸ“ North Carolina

🧭 Full-Time

πŸ’Έ 135000.0 - 205000.0 USD per year

πŸ” Online legal services

  • 8-10 years in payments at a SaaS or subscription-based e-commerce or peer-to-peer payments business.
  • Expert-level understanding of credit/debit card processing and familiarity with the card processing ecosystem.
  • Experience with Stripe and Adyen is required.
  • Deep understanding of payment settlement and reconciliation processes.
  • Proven ability to optimize payment success while managing risk.
  • Expertise in regional (US, UK, EU, BR) payment systems and trends preferred.
  • Experience with alternative payment methods such as cryptocurrency is preferred.
  • Ability to self-start, manage a small team, and work cross-functionally.
  • Knowledge of relevant federal and state regulations and card industry rules preferred.
  • Bachelor's degree preferred.
  • Own Rocket Lawyer’s overall payment processing operations in partnership with Finance, Product Management, Engineering, Risk/Security and external platform partners.
  • Drive constant optimization of payment processing architecture and operations to enhance customer satisfaction and reduce chargebacks.
  • Collaborate with Product leadership on new payment initiatives.
  • Ensure optimal payment processing solutions and work to prevent fraudulent activity.
  • Provide regular data analysis to inform payment strategy.
  • Serve as a subject matter expert for payment discussions.
  • Lead chargeback prevention efforts.
  • Manage vendor relationships and performance reviews.
  • Lead the Payment Operations team effectively.

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Posted 16 days ago
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πŸ“ Utah

πŸ’Έ 135000.0 - 199000.0 USD per year

πŸ” Legal services

  • 5+ years of experience writing ML code for launched products.
  • Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF, and others.
  • Experience creating data sets from proprietary anonymized data for training ML models.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, and Scikit-Learn.
  • Strong programming skills in Python and SQL.
  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or related fields, or equivalent experience.
  • Build, train, fine-tune, deploy, and maintain ML models for AI features.
  • Create, monitor, and troubleshoot backend API services for product frontends to interact with ML models.
  • Work closely with multiple product teams and cross-functional teammates.
  • Rapidly prototype product features to explore new AI capabilities.

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πŸ“ North Carolina

🧭 Full-Time

πŸ’Έ 135000.0 - 199000.0 USD per year

πŸ” Legal services

  • 5+ years of experience writing ML code for launched products.
  • Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others.
  • Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models.
  • Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn.
  • Strong programming skills in Python and SQL.
  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience.
  • Build, train, fine-tune, deploy and maintain ML models for AI features.
  • Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models.
  • Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products.
  • Keep up-to-date with industry trends around generative AI and machine learning.
  • Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code.

PythonSQLMachine LearningPyTorchData engineeringTensorflow

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πŸ“ Colorado

πŸ’Έ 145000.0 - 199000.0 USD per year

πŸ” Legal services

  • 5+ years of experience writing ML code for launched products.
  • Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others.
  • Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models.
  • Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn.
  • Strong programming skills in Python and SQL.
  • BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience.
  • Build, train, fine-tune, deploy and maintain ML models for AI features.
  • Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models.
  • Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products.
  • Keep up-to-date with industry trends around generative AI and machine learning.
  • Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code.

PythonSQLMachine LearningPyTorchTensorflow

Posted about 1 month ago
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πŸ“ Utah

🧭 Full-Time

πŸ’Έ 97000.0 - 125000.0 USD per year

πŸ” Legal services

  • 3+ years of proven experience as a Salesforce Administrator.
  • Strong understanding of Salesforce best practices.
  • Hands-on experience with Salesforce Service Cloud and Sales Cloud.
  • Certified Salesforce Administrator; additional certifications are a plus.
  • Administer and maintain the Salesforce platform and its third-party integrations to ensure performance and reliability.
  • Monitor and resolve user issues and discrepancies promptly.
  • Create and manage user licenses, accounts, profiles, and permissions.
  • Develop and optimize reports and dashboards for business insights.
  • Stay updated on new Salesforce features and assist with updates.
  • Collaborate with departments to implement solutions that meet business goals.
  • Provide training and support to users for effective Salesforce utilization.
  • Own system maintenance and communicate changes to users.
  • Enhance Salesforce data quality through management and automation.
  • Draft technical documentation and assist with training materials.
  • Lead or assist with projects as defined by leadership.

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