Azumo
San Francisco, California
Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1). This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands on experience working with PyTorch. We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end to end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine tune Large Language Models (LLMs) and build LLM driven applications. Implement Retrieval Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA. Document architecture and workflows using PlantUML or comparable tools. Cross Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join our team or connect with us at . Requirements Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). Hands on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions. Expert in pandas, NumPy and scikit learn. Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) and their AI specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration
Azumo is currently looking for a highly motivated Data Scientist / Machine Learning Engineer to develop and enhance our data and analytics infrastructure. The position is FULLY REMOTE, based in Latin America. Professional English proficiency (B2/C1). This position will provide you with the opportunity to collaborate with a dynamic team and talented data scientists in the field of big data analytics and applied AI. If you have a passion for designing and implementing advanced machine learning and deep learning models, particularly in the Generative AI space, this role is perfect for you. We are seeking a skilled professional with expertise in Python for production level projects, proficiency in machine learning and deep learning techniques such as CNNs and Transformers, and hands on experience working with PyTorch. We're looking for a versatile Machine Learning Engineer / Data Scientist to join our big data analytics team. In this hybrid role you'll not only design and prototype novel ML/DL models, but also productionize them end to end, integrating your solutions into our data pipelines and services. You'll work closely with data engineers, software developers and product owners to ensure high quality, scalable, maintainable systems. Key Responsibilities Model Development & Productionization Design, train, and validate supervised and unsupervised models (e.g., anomaly detection, classification, forecasting). Architect and implement deep learning solutions (CNNs, Transformers) with PyTorch. Develop and fine tune Large Language Models (LLMs) and build LLM driven applications. Implement Retrieval Augmented Generation (RAG) pipelines and integrate with vector databases. Build robust pipelines to deploy models at scale (Docker, Kubernetes, CI/CD). Data Engineering & MLOps Ingest, clean and transform large datasets using libraries like pandas, NumPy, and Spark. Automate training and serving workflows with Airflow or similar orchestration tools. Monitor model performance in production; iterate on drift detection and retraining strategies. Implement LLMOps practices for automated testing, evaluation, and monitoring of LLMs. Software Development Best Practices Write production grade Python code following SOLID principles, unit tests and code reviews. Collaborate in Agile (Scrum) ceremonies; track work in JIRA. Document architecture and workflows using PlantUML or comparable tools. Cross Functional Collaboration Communicate analysis, design and results clearly in English. Partner with DevOps, data engineering and product teams to align on requirements and SLAs. About Azumo Based in San Francisco, California, Azumo is an innovative software development firm specializing in AI software development services. We help companies of all sizes build intelligent applications by combining expertise in data, cloud, and AI. Our talented AI developers are trusted to deliver Top AI Development services in Generative AI, intelligent automation, and custom machine learning solutions. At Azumo, we believe in professional and personal growth. As a recognized AI Development company, we support our engineers in mastering the latest technologies and delivering Top AI Development services worldwide. Our culture emphasizes collaboration, continuous learning, and solving complex problems with modern AI solutions. We believe in giving back to our community and will volunteer our time to philanthropy, open source initiatives and sharing our knowledge. If you are qualified for the opportunity and looking for a challenge please apply online at Azumo/join our team or connect with us at . Requirements Minimum Qualifications Bachelor's or Master's in Computer Science, Data Science or related field. 5+ years of professional experience with Python in production environments. Solid background in machine learning & deep learning (CNNs, Transformers, LLMs). Hands on experience with PyTorch or similar frameworks (training, custom modules, optimization). Proven track record deploying ML solutions. Expert in pandas, NumPy and scikit learn. Familiarity with Agile/Scrum practices and tooling (JIRA, Confluence). Strong foundation in statistics and experimental design. Excellent written and spoken English. Preferred Qualifications Experience with cloud platforms (AWS, GCP, or Azure) and their AI specific services like Amazon SageMaker, Google Vertex AI, or Azure Machine Learning. Familiarity with big data ecosystems (Spark, Hadoop). Practice in CI/CD & container orchestration (Jenkins/GitLab CI, Docker, Kubernetes). Exposure to MLOps/LLMOps tools (MLflow, Kubeflow, TFX). Experience with Large Language Models, Generative AI, prompt engineering, and RAG pipelines. Hands on experience with vector databases (e.g., Pinecone, FAISS). Experience building AI Agents and using frameworks like Hugging Face Transformers, LangChain or LangGraph. Documentation skills using PlantUML or similar. Benefits Paid time off (PTO) U.S. Holidays Training Udemy free Premium access Mentored career development Profit Sharing $US Remuneration
Tempus, Inc.
Chicago, Illinois
Staff Machine Learning Engineer, Oncology foundation Model page is loaded Staff Machine Learning Engineer, Oncology foundation Modellocations: Chicago: New York City: Remote - Illinois: Redwood Citytime type: Full timeposted on: Posted 30+ Days Agojob requisition id: JRRecent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.We are seeking an experienced and highly skilled Staff Machine Learning Engineer with deep expertise in large-scale multimodal model systems engineering to join our dynamic AI team. You will play a pivotal role in designing, building, and optimizing the foundational data infrastructure that powers Tempus's most advanced generative AI models. Your work will directly enable the training and deployment of robust, production-ready multimodal systems that analyze complex data types (like genomics, pathology images, radiology scans, and clinical notes ) to improve patient care, optimize clinical workflows, and accelerate life-saving medical research. This is a critical, high-impact position for driving the practical application of cutting-edge AI to revolutionize healthcare. Focus: Your primary focus will be to a rchitect, build, and maintain the critical data infrastructure supporting our large multimodal generative models. This includes managing the entire lifecycle of vast datasets - from ingestion and processing of diverse training data to the integration and retrieval of extensive knowledge sources used to augment model capabilities. You will be building the data backbone that enables our AI to learn from Tempus's rich real-world evidence. Key Responsibilities: As a technical leader in this space, you will be: Architect and build sophisticated data processing workflows responsible for ingesting, processing, and preparing multimodal training data that seamlessly integrate with large-scale distributed ML training frameworks and infrastructure (GPU clusters). Develop strategies for efficient, compliant data ingestion from diverse sources, including internal databases, third-party APIs, public biomedical datasets, and Tempus's proprietary data ecosystem. Utilize, optimize, and contribute to frameworks specialized for large-scale ML data loading and streaming (e.g., MosaicML Streaming, Ray Data, HF Datasets). Collaborate closely with infrastructure and platform teams to leverage and optimize cloud-native services (primarily GCP) for performance, cost-efficiency, and security. Engineer efficient connectors and data loaders for accessing and processing information from diverse knowledge sources, such as knowledge graphs, internal structured databases, biomedical literature repositories (e.g., PubMed), and curated ontologies. Optimize data storage for efficient large scale training training and knowledge access. Orchestrate, monitor, and troubleshoot complex data workflows using tools like Airflow, Kubeflow Pipelines Establish robust monitoring, logging, and alerting systems for data pipeline health, data drift detection, and data quality assurance, providing feedback loops for continuous improvement. Analyze and optimize data I/O performance bottlenecks considering storage systems, network bandwidth and compute resources. Actively manage and seek optimizations for the costs associated with storing and processing massive datasets in the cloud. Required Skills and Experience: Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. A strong academic background with a focus on AI data engineering. Proven track record (8+ years of industry experience) in designing, building, and operating large-scale data pipelines and infrastructure in a production environment. Strong experience working with massive, heterogeneous datasets (TBs+) and modern distributed data processing tools and frameworks such as Apache Spark, Ray, or Dask. Strong, hands-on experience with tools and libraries specifically designed for large-scale ML data handling, such as Hugging Face Datasets, MosaicML Streaming, or similar frameworks (e.g., WebDataset, Petastorm). Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, SageMaker Pipelines). Understanding of the data challenges specific to training large models (Foundation Models, LLMs, Multimodal Models). Proficiency in programming languages like Python and experience with modern distributed data processing tools and frameworks. Leadership and collaboration: + Proven ability to bring thought leadership to the product and engineering teams, influencing technical direction and data strategy. + Experience mentoring junior engineers and collaborating effectively with cross-functional teams (Research Scientists, ML Engineers, Platform Engineers, Product Managers, Clinicians). + Excellent communication skills, capable of explaining complex technical concepts to diverse audiences. + Strong bias-to-action and ability to thrive in a fast-paced, dynamic research and development environment. + A pragmatic approach focused on delivering rapid, iterative, and measurable progress towards impactful goals. Preferred Qualifications: Advanced degree (PhD) in Computer Science, Engineering, Bioinformatics, or a related field. Contributions to relevant open-source projects. Direct experience working with clinical or biological data (EHR, genomics, medical imaging). York Pay Range - $190,000 - $230,000 USDCalifornia Pay Range - $190,000 - $230,000 USDIllinois Pay Range - $170,000 - $210,000 USDRemote - USA Range - $170,000 - $210,000 USDThe expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We're looking for people who can change the world.Who question the status quo and don't shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We're looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
Staff Machine Learning Engineer, Oncology foundation Model page is loaded Staff Machine Learning Engineer, Oncology foundation Modellocations: Chicago: New York City: Remote - Illinois: Redwood Citytime type: Full timeposted on: Posted 30+ Days Agojob requisition id: JRRecent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.We are seeking an experienced and highly skilled Staff Machine Learning Engineer with deep expertise in large-scale multimodal model systems engineering to join our dynamic AI team. You will play a pivotal role in designing, building, and optimizing the foundational data infrastructure that powers Tempus's most advanced generative AI models. Your work will directly enable the training and deployment of robust, production-ready multimodal systems that analyze complex data types (like genomics, pathology images, radiology scans, and clinical notes ) to improve patient care, optimize clinical workflows, and accelerate life-saving medical research. This is a critical, high-impact position for driving the practical application of cutting-edge AI to revolutionize healthcare. Focus: Your primary focus will be to a rchitect, build, and maintain the critical data infrastructure supporting our large multimodal generative models. This includes managing the entire lifecycle of vast datasets - from ingestion and processing of diverse training data to the integration and retrieval of extensive knowledge sources used to augment model capabilities. You will be building the data backbone that enables our AI to learn from Tempus's rich real-world evidence. Key Responsibilities: As a technical leader in this space, you will be: Architect and build sophisticated data processing workflows responsible for ingesting, processing, and preparing multimodal training data that seamlessly integrate with large-scale distributed ML training frameworks and infrastructure (GPU clusters). Develop strategies for efficient, compliant data ingestion from diverse sources, including internal databases, third-party APIs, public biomedical datasets, and Tempus's proprietary data ecosystem. Utilize, optimize, and contribute to frameworks specialized for large-scale ML data loading and streaming (e.g., MosaicML Streaming, Ray Data, HF Datasets). Collaborate closely with infrastructure and platform teams to leverage and optimize cloud-native services (primarily GCP) for performance, cost-efficiency, and security. Engineer efficient connectors and data loaders for accessing and processing information from diverse knowledge sources, such as knowledge graphs, internal structured databases, biomedical literature repositories (e.g., PubMed), and curated ontologies. Optimize data storage for efficient large scale training training and knowledge access. Orchestrate, monitor, and troubleshoot complex data workflows using tools like Airflow, Kubeflow Pipelines Establish robust monitoring, logging, and alerting systems for data pipeline health, data drift detection, and data quality assurance, providing feedback loops for continuous improvement. Analyze and optimize data I/O performance bottlenecks considering storage systems, network bandwidth and compute resources. Actively manage and seek optimizations for the costs associated with storing and processing massive datasets in the cloud. Required Skills and Experience: Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. A strong academic background with a focus on AI data engineering. Proven track record (8+ years of industry experience) in designing, building, and operating large-scale data pipelines and infrastructure in a production environment. Strong experience working with massive, heterogeneous datasets (TBs+) and modern distributed data processing tools and frameworks such as Apache Spark, Ray, or Dask. Strong, hands-on experience with tools and libraries specifically designed for large-scale ML data handling, such as Hugging Face Datasets, MosaicML Streaming, or similar frameworks (e.g., WebDataset, Petastorm). Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, SageMaker Pipelines). Understanding of the data challenges specific to training large models (Foundation Models, LLMs, Multimodal Models). Proficiency in programming languages like Python and experience with modern distributed data processing tools and frameworks. Leadership and collaboration: + Proven ability to bring thought leadership to the product and engineering teams, influencing technical direction and data strategy. + Experience mentoring junior engineers and collaborating effectively with cross-functional teams (Research Scientists, ML Engineers, Platform Engineers, Product Managers, Clinicians). + Excellent communication skills, capable of explaining complex technical concepts to diverse audiences. + Strong bias-to-action and ability to thrive in a fast-paced, dynamic research and development environment. + A pragmatic approach focused on delivering rapid, iterative, and measurable progress towards impactful goals. Preferred Qualifications: Advanced degree (PhD) in Computer Science, Engineering, Bioinformatics, or a related field. Contributions to relevant open-source projects. Direct experience working with clinical or biological data (EHR, genomics, medical imaging). York Pay Range - $190,000 - $230,000 USDCalifornia Pay Range - $190,000 - $230,000 USDIllinois Pay Range - $170,000 - $210,000 USDRemote - USA Range - $170,000 - $210,000 USDThe expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We're looking for people who can change the world.Who question the status quo and don't shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We're looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.
DocuSign, Inc.
San Francisco, California
Company Overview Docusign brings agreements to life. Over 1.5 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 Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the company in e signature and contract lifecycle management (CLM). What you'll do We are seeking an experienced, visionary Product Manager to lead the charge on integrating cutting edge AI and Generative AI capabilities into our core enterprise platforms, starting with G&A (Finance, HR, Procurement, Legal). A key requirement is expertise in implementing and extending enterprise packaged software (such as Oracle, Workday, or Salesforce), ideally within a SaaS environment. You will play a crucial role in defining product requirements, collaborating with business stakeholders and engineering teams to enable the essential capabilities required for Docusign's growth. This role requires working cross functionally with business, engineering, data science, sales, and customer success teams to develop and execute a product strategy aligned with our business goals. This position is an individual contributor role reporting to the Sr. Director, Application Product Management. Responsibility Develop and execute the product roadmap for General & Administrative (G&A) business functions, aligning with business goals Define the strategy, roadmap, and delivery of intelligent, automated enterprise solutions that streamline operations, and reduce administrative costs, using AI first principles Define and manage product requirements, collaborating with developers, UX designers, and business teams Enhance efficiency through automation Identify and implement AI/ML driven process automation Conduct testing and validation of new product features, ensuring alignment with compliance standards Partner with Finance, HR, Procurement, Legal and IT teams to gather business requirements and translate them into product features Work with engineering and data teams to ensure seamless integration Communicate product updates, roadmaps, and impact analyses to leadership and key stakeholders Leverage data and advanced analytics tools to drive business decisions Ensure compliance with financial regulations, labor laws, and data security standards 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 Finance, Business, Information Systems, or a related field 12+ years of experience in Product Management and Enterprise Applications Experience designing and executing system implementations and process optimization projects within critical enterprise functions such as: Finance, Commerce, Human Resources, Procurement and other corporate G&A Ability to translate business needs into technical product requirements A conceptual understanding of Machine Learning (ML) models, the difference between supervised and unsupervised learning, and the basics of Large Language Models (LLMs) and Generative AI (GenAI) Experience with AI specific performance metrics (e.g., accuracy, precision, recall) and how to design experiments to measure the business impact of an AI feature (e.g., impact on reconciliation speed) Ability to define a clear product vision, create a long term roadmap, and prioritize features based on measurable business value (e.g., which automation delivers the biggest time savings) Experience managing product backlogs, writing detailed user stories and technical requirements, and leading agile ceremonies for both software and ML model deployment (MLOps) Preferred Excellent communication, stakeholder management, and problem solving abilities Exceptional communication skills to act as the bridge between highly technical Data Science teams; Finance, Procurement & HR Executives (CFO/CPO offices); and IT Engineering teams Sufficient technical knowledge to debate solutions and trade offs with engineers and data scientists, but focusing on the what and why rather than the how of the code Understanding that the user is typically an internal finance analyst or accountant, and ensuring the AI solution (e.g., an automated reconciliation feature) is intuitive and trustworthy 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: $177,900.00 - $287,425.00 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 . If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance. 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
Company Overview Docusign brings agreements to life. Over 1.5 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 Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the company in e signature and contract lifecycle management (CLM). What you'll do We are seeking an experienced, visionary Product Manager to lead the charge on integrating cutting edge AI and Generative AI capabilities into our core enterprise platforms, starting with G&A (Finance, HR, Procurement, Legal). A key requirement is expertise in implementing and extending enterprise packaged software (such as Oracle, Workday, or Salesforce), ideally within a SaaS environment. You will play a crucial role in defining product requirements, collaborating with business stakeholders and engineering teams to enable the essential capabilities required for Docusign's growth. This role requires working cross functionally with business, engineering, data science, sales, and customer success teams to develop and execute a product strategy aligned with our business goals. This position is an individual contributor role reporting to the Sr. Director, Application Product Management. Responsibility Develop and execute the product roadmap for General & Administrative (G&A) business functions, aligning with business goals Define the strategy, roadmap, and delivery of intelligent, automated enterprise solutions that streamline operations, and reduce administrative costs, using AI first principles Define and manage product requirements, collaborating with developers, UX designers, and business teams Enhance efficiency through automation Identify and implement AI/ML driven process automation Conduct testing and validation of new product features, ensuring alignment with compliance standards Partner with Finance, HR, Procurement, Legal and IT teams to gather business requirements and translate them into product features Work with engineering and data teams to ensure seamless integration Communicate product updates, roadmaps, and impact analyses to leadership and key stakeholders Leverage data and advanced analytics tools to drive business decisions Ensure compliance with financial regulations, labor laws, and data security standards 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 Finance, Business, Information Systems, or a related field 12+ years of experience in Product Management and Enterprise Applications Experience designing and executing system implementations and process optimization projects within critical enterprise functions such as: Finance, Commerce, Human Resources, Procurement and other corporate G&A Ability to translate business needs into technical product requirements A conceptual understanding of Machine Learning (ML) models, the difference between supervised and unsupervised learning, and the basics of Large Language Models (LLMs) and Generative AI (GenAI) Experience with AI specific performance metrics (e.g., accuracy, precision, recall) and how to design experiments to measure the business impact of an AI feature (e.g., impact on reconciliation speed) Ability to define a clear product vision, create a long term roadmap, and prioritize features based on measurable business value (e.g., which automation delivers the biggest time savings) Experience managing product backlogs, writing detailed user stories and technical requirements, and leading agile ceremonies for both software and ML model deployment (MLOps) Preferred Excellent communication, stakeholder management, and problem solving abilities Exceptional communication skills to act as the bridge between highly technical Data Science teams; Finance, Procurement & HR Executives (CFO/CPO offices); and IT Engineering teams Sufficient technical knowledge to debate solutions and trade offs with engineers and data scientists, but focusing on the what and why rather than the how of the code Understanding that the user is typically an internal finance analyst or accountant, and ensuring the AI solution (e.g., an automated reconciliation feature) is intuitive and trustworthy 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: $177,900.00 - $287,425.00 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 . If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance. 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