Company Overview Docusign brings agreements to life. More than 1.8 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using the Docusign AI-native IAM platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM). What you'll do As a member of the Global Data Analytics (GDA) team, you will leverage a variety of technologies to design, develop, and deliver AI-powered features in addition to loading, transforming, and preparing data sets of all shapes and sizes. During a typical day, you will develop new features to analyze data, build AI agents, and load tested data sets into the Snowflake Enterprise Data Warehouse. You will have the opportunity to use innovative technologies such as AWS, Snowflake, dbt, and Airflow while pioneering our AI agent orchestration layer. We are looking for a candidate with a positive “can do” attitude, a passion for learning, and the drive to work hard in a fast-paced environment. This position is an individual contributor role reporting to the Sr. Manager, Data & Analytics. Responsibility Build and maintain scalable, efficient data pipelines and AI agent orchestrations Develop and deploy autonomous agents using frameworks like CrewAI and LangChain Implement Retrieval-Augmented Generation (RAG) systems and manage Vector Databases to enhance LLM context and accuracy Utilize Langgraph/CrewAI for complex stateful multi-agent orchestration Implement robust Evaluations (e.g., Arize) to monitor and improve model performance and reliability Analyze and develop data quality and validation procedures to ensure trusted data for AI applications Work with stakeholders to understand requirements and provide AI-driven solutions Own, monitor, and improve solutions to ensure SLAs are met Execute projects using Agile Scrum methodologies in a collaborative team environment Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. What you bring Basic Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, or a related field 8+ years of Data/Software Engineering experience 3+ years of experience specifically within agentic orchestration, RAG-based architectures, and LLM implementation Experience developing data pipelines in Python or Java 3+ years of dimensional and relational data modeling experience Experience with SQL and database management Preferred Hands-on experience with LangChain, Langgraph, CrewAI, and Arize 3+ years in Snowflake, BigQuery, or Redshift 5+ years with AWS, Spark, and Data Lake environments 5+ years with dbt, Matillion, and Airflow Experience with Claude Code, Cortex, and VSCode Copilot development models Excellent analytical and problem-solving skills with the ability to work independently or as part of a team Wage Transparency Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the below details pay ranges in the following locations: California: $146,400.00 - $235,375.00 base salary This role is also eligible for the following: Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance. Stock: This role is eligible to receive Restricted Stock Units (RSUs). Global benefits provide options for the following: Paid Time Off: earned time off, as well as paid company holidays based on region Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment Retirement Plans: select retirement and pension programs with potential for employer contributions Learning and Development: options for coaching, online courses and education reimbursements Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events Life at Docusign Working here Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. AI in Our Hiring Process At Docusign, we embrace technology to enhance efficiency and create a better candidate experience. We may record or transcribe interviews using enterprise AI tools to assist with meeting notes and interview documentation so our teams can stay fully engaged in the conversation. All hiring decisions remain 100% human-led. You have the right to opt out at any time by notifying your recruiter or interview team, with zero impact on your candidacy. We encourage using AI tools to research and prepare beforehand. However, to ensure an authentic evaluation, live AI assistance or external recording bots during interviews are not permitted. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. Equal Opportunity Employer It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. EEO Know Your Rights poster #LI-Hybrid As a member of the Global Data Analytics (GDA) team, you will leverage a variety of technologies to design, develop, and deliver AI-powered features in addition to loading, transforming, and preparing data sets of all shapes and sizes. During a typical day, you will develop new features to analyze data, build AI agents, and load tested data sets into the Snowflake Enterprise Data Warehouse. You will have the opportunity to use innovative technologies such as AWS, Snowflake, dbt, and Airflow while pioneering our AI agent orchestration layer. We are looking for a candidate with a positive “can do” attitude, a passion for learning, and the drive to work hard in a fast-paced environment. This position is an individual contributor role reporting to the Sr. Manager, Data & Analytics. Responsibility Build and maintain scalable, efficient data pipelines and AI agent orchestrations Develop and deploy autonomous agents using frameworks like CrewAI and LangChain Implement Retrieval-Augmented Generation (RAG) systems and manage Vector Databases to enhance LLM context and accuracy Utilize Langgraph/CrewAI for complex stateful multi-agent orchestration Implement robust Evaluations (e.g., Arize) to monitor and improve model performance and reliability Analyze and develop data quality and validation procedures to ensure trusted data for AI applications Work with stakeholders to understand requirements and provide AI-driven solutions Own, monitor, and improve solutions to ensure SLAs are met Execute projects using Agile Scrum methodologies in a collaborative team environment Basic Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, or a related field 8+ years of Data/Software Engineering experience 3+ years of experience specifically within agentic orchestration, RAG-based architectures, and LLM implementation Experience developing data pipelines in Python or Java 3+ years of dimensional and relational data modeling experience Experience with SQL and database management Preferred Hands-on experience with LangChain, Langgraph, CrewAI, and Arize 3+ years in Snowflake, BigQuery, or Redshift 5+ years with AWS, Spark, and Data Lake environments 5+ years with dbt, Matillion, and Airflow Experience with Claude Code, Cortex, and VSCode Copilot development models Excellent analytical and problem-solving skills with the ability to work independently or as part of a team
