At Autodesk, we as Enterprise Data Engineering team is important to driving business growth and improving operational efficiency through innovative data solutions and insights. We are looking for a Senior Principal Software Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains.You will report to the Director of Data Engineering in our Enterprise Systems & Experience (ESE) IT organization. You'll lead the delivery of advanced GTM planning solutions and multiple data initiatives, working with a globally distributed, experienced team to transform Autodesk's business processes.As we collaborate across departments, you'll partner closely with Product Managers in the Data Product & Insight domain to identify high impact use cases, design innovative data products, and deliver actionable insights. Your role will define and optimize Autodesk's approach for GTM planning, account hierarchy, and customer segmentation models.Location: San Francisco, or remote in United States.Responsibilities Work with multiple scrum teams (each has 7-9 engineers)Lead the way of collaboration with scrum teams in US, India, and Singapore where engineering teams are locatedLead the way of entire complex projects development cycle and accomplish the goalsParticipate in product discovery along with Product Managers, Users and ArchitectsLead in solution design, readout and oversee the delivery of the end-to-end solution implementationExperience with sales planning, forecasting, and customer hierarchy, segmentation domains from Business processes, technical solutions, and data wise. Lead design and optimize from enterprise systems, data integrations and architecture perspectives for those domainsIdentify opportunities for improving operational efficiency, increasing business revenueLead, develop, test, and release data science models to create insights from enterprise system dataWork closely with different partners: Business owners, users, product managers, program managers, architects, engineering managers & developers to translate needs and product requirements to well-documented engineering solutionsConstantly communicate updates to partners and other partners with stakeholders in different phases regarding requirements clarification, solution/planning review, status/progress sharingAs the lead developer, boldly lead to design, implement, test, and deliver any data engineering products/components/services in a strategic way. As go-to person for technical solutions across multiple teams and projects, helping to overcome challenges predict risks, and figure out mitigation plan. E.g., drive systematic solutions for both shorter and long term, built a roadmap for technical solutions, contributing to initiatives to improve data engineering practices, disciplines, and excellencesDiscover, define, and guide implementation of long-term technical strategy for data engineering tools, practices, and processes that benefit the team's growth, as well as delivery of high-quality data productsBe a role model for mentoring & coaching other engineers, applying best practice into team/product and promote our best practice/achievement to external teamsMinimum Qualifications BS or higher in computer science or related technical discipline10+ years of hands-on software and data engineering development experiences in enterprise applications and systemsExcellent problem-solving and troubleshooting skills and make sound architectural decisionsBroader knowledge in software architecture conceptsExperience with data architecture and data platform designsDeep knowledge and experience in data modeling, entity relationship and query analysis optimizationDeep expertise in Python, Snowflake, SQL and DBT. Hands-on project experience with these skillsExpert in using AWS. Real hands-on project experience with these skills is a mustExperiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solutionExperiences designing and building data science and ML models for generating business insights from enterprise system dataDemonstration of strong competence in driving broad consensus and alignment across teams and GEOsAbility to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidlyExcellent team player, experienced in work with different disciplines, domains problems and teamsExcellent interpersonal Experience communicating updates and resolutions to customers and other partners both verbally and writtenRich experience in mentoring and coaching other developers is a mustDeep knowledge and experience of working in Agile process is neededEmbrace changes and can work under pressureWilling to take challenges and stretch comfortable zone with willingness to participate in professional development activities to stay current on industry knowledgePreferred Qualifications Rich hands-on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizationsRich domains knowledge in GTM planning, customer segmentationRich domains knowledge on data architecture and data modelExperience building and delivering Gen AI capabilities or solution is a plusDeep knowledge and experience in data science and machine learningIdeal Candidate Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer dataLeadership and Collaboration: Proven ability to lead global teams and work across diverse groupsExperience with Innovation: A creative professional with a passion for transforming data into actionable business insights#J-18808-Ljbffr

At Autodesk, we as Enterprise Data Engineering team is important to driving business growth and improving operational efficiency through innovative data solutions and insights. We are looking for a Senior Principal Software Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains.You will report to the Director of Data Engineering in our Enterprise Systems & Experience (ESE) IT organization. You'll lead the delivery of advanced GTM planning solutions and multiple data initiatives, working with a globally distributed, experienced team to transform Autodesk's business processes.As we collaborate across departments, you'll partner closely with Product Managers in the Data Product & Insight domain to identify high impact use cases, design innovative data products, and deliver actionable insights. Your role will define and optimize Autodesk's approach for GTM planning, account hierarchy, and customer segmentation models.Location: San Francisco, or remote in United States.<h3>Responsibilities</h3><ol><li>Work with multiple scrum teams (each has 7-9 engineers)</li><li>Lead the way of collaboration with scrum teams in US, India, and Singapore where engineering teams are located</li><li>Lead the way of entire complex projects development cycle and accomplish the goals</li><li>Participate in product discovery along with Product Managers, Users and Architects</li><li>Lead in solution design, readout and oversee the delivery of the end-to-end solution implementation</li><li>Experience with sales planning, forecasting, and customer hierarchy, segmentation domains from Business processes, technical solutions, and data wise. Lead design and optimize from enterprise systems, data integrations and architecture perspectives for those domains</li><li>Identify opportunities for improving operational efficiency, increasing business revenue</li><li>Lead, develop, test, and release data science models to create insights from enterprise system data</li><li>Work closely with different partners: Business owners, users, product managers, program managers, architects, engineering managers & developers to translate needs and product requirements to well-documented engineering solutions</li><li>Constantly communicate updates to partners and other partners with stakeholders in different phases regarding requirements clarification, solution/planning review, status/progress sharing</li><li>As the lead developer, boldly lead to design, implement, test, and deliver any data engineering products/components/services in a strategic way. As go-to person for technical solutions across multiple teams and projects, helping to overcome challenges predict risks, and figure out mitigation plan. E.g., drive systematic solutions for both shorter and long term, built a roadmap for technical solutions, contributing to initiatives to improve data engineering practices, disciplines, and excellences</li><li>Discover, define, and guide implementation of long-term technical strategy for data engineering tools, practices, and processes that benefit the team's growth, as well as delivery of high-quality data products</li><li>Be a role model for mentoring & coaching other engineers, applying best practice into team/product and promote our best practice/achievement to external teams</li></ol><h3>Minimum Qualifications</h3><ol><li>BS or higher in computer science or related technical discipline</li><li>10+ years of hands-on software and data engineering development experiences in enterprise applications and systems</li><li>Excellent problem-solving and troubleshooting skills and make sound architectural decisions</li><li>Broader knowledge in software architecture concepts</li><li>Experience with data architecture and data platform designs</li><li>Deep knowledge and experience in data modeling, entity relationship and query analysis optimization</li><li>Deep expertise in Python, Snowflake, SQL and DBT. Hands-on project experience with these skills</li><li>Expert in using AWS. Real hands-on project experience with these skills is a must</li><li>Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution</li><li>Experiences designing and building data science and ML models for generating business insights from enterprise system data</li><li>Demonstration of strong competence in driving broad consensus and alignment across teams and GEOs</li><li>Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly</li><li>Excellent team player, experienced in work with different disciplines, domains problems and teams</li><li>Excellent interpersonal Experience communicating updates and resolutions to customers and other partners both verbally and written</li><li>Rich experience in mentoring and coaching other developers is a must</li><li>Deep knowledge and experience of working in Agile process is needed</li><li>Embrace changes and can work under pressure</li><li>Willing to take challenges and stretch comfortable zone with willingness to participate in professional development activities to stay current on industry knowledge</li></ol><h3>Preferred Qualifications</h3><ol><li>Rich hands-on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations</li><li>Rich domains knowledge in GTM planning, customer segmentation</li><li>Rich domains knowledge on data architecture and data model</li><li>Experience building and delivering Gen AI capabilities or solution is a plus</li><li>Deep knowledge and experience in data science and machine learning</li></ol><h3>Ideal Candidate</h3><ol><li>Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data</li><li>Leadership and Collaboration: Proven ability to lead global teams and work across diverse groups</li><li>Experience with Innovation: A creative professional with a passion for transforming data into actionable business insights</li></ol>
#J-18808-Ljbffr

At Autodesk, we as Enterprise Data Engineering team is important to driving business growth and improving operational efficiency through innovative data solutions and insights. We are looking for a Senior Principal Software Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains.You will report to the Director of Data Engineering in our Enterprise Systems & Experience (ESE) IT organization. You'll lead the delivery of advanced GTM planning solutions and multiple data initiatives, working with a globally distributed, experienced team to transform Autodesk's business processes.As we collaborate across departments, you'll partner closely with Product Managers in the Data Product & Insight domain to identify high impact use cases, design innovative data products, and deliver actionable insights. Your role will define and optimize Autodesk's approach for GTM planning, account hierarchy, and customer segmentation models.Location: San Francisco, or remote in United States.<h3>Responsibilities</h3><ol><li>Work with multiple scrum teams (each has 7-9 engineers).</li><li>Lead the way of collaboration with scrum teams in US, India, and Singapore where engineering teams are located.</li><li>Lead the way of entire complex projects development cycle and accomplish the goals.</li><li>Participate in product discovery along with Product Managers, Users and Architects.</li><li>Lead in solution design, readout and oversee the delivery of the end-to-end solution implementation.</li><li>Experience with sales planning, forecasting, and customer hierarchy, segmentation domains from Business processes, technical solutions, and data wise. Lead design and optimize from enterprise systems, data integrations and architecture perspectives for those domains.</li><li>Identify opportunities for improving operational efficiency, increasing business revenue.</li><li>Lead, develop, test, and release data science models to create insights from enterprise system data.</li><li>Work closely with different partners: Business owners, users, product managers, program managers, architects, engineering managers & developers to translate needs and product requirements to well-documented engineering solutions.</li><li>Constantly communicate updates to partners and other partners with stakeholders in different phases regarding requirements clarification, solution/planning review, status/progress sharing.</li><li>As the lead developer, boldly lead to design, implement, test, and deliver any data engineering products/components/services in a strategic way. As go-to person for technical solutions across multiple teams and projects, helping to overcome challenges predict risks, and figure out mitigation plan. E.g., drive systematic solutions for both shorter and long term, build a roadmap for technical solutions, contributing to initiatives to improve data engineering practices, disciplines, and excellences.</li><li>Discover, define, and guide implementation of long-term technical strategy for data engineering tools, practices, and processes that benefit the team's growth, as well as delivery of high-quality data products.</li><li>Be a role model for mentoring & coaching other engineers, applying best practice into team/product and promote our best practice/achievement to external teams.</li></ol><h3>Minimum Qualifications</h3><ol><li>BS or higher in computer science or related technical discipline.</li><li>10+ years of hands-on software and data engineering development experiences in enterprise applications and systems.</li><li>Excellent problem-solving and troubleshooting skills and make sound architectural decisions.</li><li>Broader knowledge in software architecture concepts.</li><li>Experience with data architecture and data platform designs.</li><li>Deep knowledge and experience in data modeling, entity relationship and query analysis optimization.</li><li>Deep expertise in Python, Snowflake, SQL and DBT. Hands-on project experience with these skills.</li><li>Expert in using AWS. Real hands-on project experience with these skills is a must.</li><li>Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution.</li><li>Experiences designing and building data science and ML models for generating business insights from enterprise system data.</li><li>Demonstration of strong competence in driving broad consensus and alignment across teams and GEOs.</li><li>Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly.</li><li>Excellent team player, experienced in work with different disciplines, domains problems and teams.</li><li>Excellent interpersonal experience communicating updates and resolutions to customers and other partners both verbally and written.</li><li>Rich experience in mentoring and coaching other developers is a must.</li><li>Deep knowledge and experience of working in Agile process is needed.</li><li>Embrace changes and can work under pressure.</li><li>Willing to take challenges and stretch comfortable zone with willingness to participate in professional development activities to stay current on industry knowledge.</li></ol><h3>Preferred Qualifications</h3><ol><li>Rich hands-on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations.</li><li>Rich domains knowledge in GTM planning, customer segmentation.</li><li>Rich domains knowledge on data architecture and data model.</li><li>Experience building and delivering Gen AI capabilities or solution is a plus.</li><li>Deep knowledge and experience in data science and machine learning.</li></ol><h3>Ideal Candidate</h3><ol><li>Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data.</li><li>Leadership and Collaboration: Proven ability to lead global teams and work across diverse groups.</li><li>Experience with Innovation: A creative professional with a passion for transforming data into actionable business insights.</li></ol>
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As a Principal Software Engineer on the AEC Solutions team, you will join a team of technologists to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing. You will collaborate across organizations with a versatile group of AI Researchers, ML Engineers, Software Architects, and Experience Designers that are building cutting-edge foundation models and generative AI tools for the AEC industry. You'll also help ensure that we maintain privacy and security standards respecting and safeguarding our customers' data.Report: You will report to the Senior AI/ML Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.Location: We support hybrid work, and you work near our Boston, Massachusetts or Toronto, Canada offices.<h3>Responsibilities</h3><ul><li>Design scalable, distributed systems and microservices in a production setting.</li><li>Develop scalable and resilient data ingestion and processing pipelines, monitoring and self-healing systems that power AI-based solutions for AEC workflows.</li><li>Take ownership of the implementation of individual software components, with a high emphasis on quality, test-driven development, and sound software engineering practices.</li><li>Participate in software design reviews, conduct peer code reviews, and provide input and feedback to other members of the development team.</li><li>Write unit, functional, regression tests for the code you create, and contribute to the test automation, continuous integration, and deployment processes together with everyone else in the development team.</li><li>Work with software architects and product managers to translate overall system architecture and product requirements into well-designed and implemented software components.</li><li>Mentor junior engineers, fostering a culture of continuous learning and improvement.</li></ul><h3>Minimum Qualifications</h3><ul><li>BS or MS in Computer Science or related technical field.</li><li>10+ years of software engineering experience.</li><li>Experience writing performant code in Java or Python.</li><li>Experience developing data ingestion and processing pipelines, monitoring and self-healing systems.</li><li>Experience delivering production applications with Amazon Web Services.</li><li>Proficiency in serverless and managed Amazon Web Services including Lambdas, AWS Step, and SQS.</li><li>Experience in utilizing AWS IAM to develop secure solutions, specifically with resource access policies and IAM roles.</li><li>Experience with AWS infrastructure as code solutions, such as CDK or Cloud Formation.</li><li>Experience working with Data Lake or Warehouses, ETLs.</li><li>Experience with microservices and RESTful web services.</li><li>Experience with modern software practices including Continuous Integration, Continuous Delivery, and Infrastructure-as-Code.</li><li>Experience with Scrum and Agile development processes and methodologies.</li></ul><h3>Other Qualifications</h3><ul><li>Experience in the AEC industry, Autodesk products such as Revit, and AEC data schemas and standards.</li><li>Experience with cloud-native capabilities, including data at scale, edge computing, and AI-based solutions.</li></ul><h3>Ideal Candidate</h3><ul><li>You easily collaborate with other members of an Agile team to get products and components developed and completed.</li><li>You are constantly striving to learn new technologies and methodologies.</li><li>You exhibit a low tolerance for inefficiency and have a burning desire to automate anything that can be automated.</li><li>You are adaptable, customer-focused, and seek new ways to solve hard problems.</li><li>You have a passion for making simple, scalable platforms used by other engineering teams.</li></ul>
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At Autodesk, we as Enterprise Data Engineering team is important to driving business growth and improving operational efficiency through innovative data solutions and insights. We are looking for a Senior Principal Software Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains.
You will report to the Director of Data Engineering in our Enterprise Systems & Experience (ESE) IT organization. You'll lead the delivery of advanced GTM planning solutions and multiple data initiatives, working with a globally distributed, experienced team to transform Autodesk's business processes.
As we collaborate across departments, you'll partner closely with Product Managers in the Data Product & Insight domain to identify high impact use cases, design innovative data products, and deliver actionable insights. Your role will define and optimize Autodesk's approach for GTM planning, account hierarchy, and customer segmentation models.
Location: San Francisco, or remote in United States.
Responsibilities Work with multiple scrum teams (each has 7-9 engineers)
Lead the way of collaboration with scrum teams in US, India, and Singapore where engineering teams are located
Lead the way of entire complex projects development cycle and accomplish the goals
Participate in product discovery along with Product Managers, Users and Architects
Lead in solution design, readout and oversee the delivery of the end-to-end solution implementation
Experience with sales planning, forecasting, and customer hierarchy, segmentation domains from Business processes, technical solutions, and data wise. Lead design and optimize from enterprise systems, data integrations and architecture perspectives for those domains
Identify opportunities for improving operational efficiency, increasing business revenue
Lead, develop, test, and release data science models to create insights from enterprise system data
Work closely with different partners: Business owners, users, product managers, program managers, architects, engineering managers & developers to translate needs and product requirements to well-documented engineering solutions
Constantly communicate updates to partners and other partners with stakeholders in different phases regarding requirements clarification, solution/planning review, status/progress sharing
As the lead developer, boldly lead to design, implement, test, and deliver any data engineering products/components/services in a strategic way. As go-to person for technical solutions across multiple teams and projects, helping to overcome challenges predict risks, and figure out mitigation plan. E.g., drive systematic solutions for both shorter and long term, built a roadmap for technical solutions, contributing to initiatives to improve data engineering practices, disciplines, and excellences
Discover, define, and guide implementation of long-term technical strategy for data engineering tools, practices, and processes that benefit the team's growth, as well as delivery of high-quality data products
Be a role model for mentoring & coaching other engineers, applying best practice into team/product and promote our best practice/achievement to external teams
Minimum Qualifications BS or higher in computer science or related technical discipline
10+ years of hands-on software and data engineering development experiences in enterprise applications and systems
Excellent problem-solving and troubleshooting skills and make sound architectural decisions
Broader knowledge in software architecture concepts
Experience with data architecture and data platform designs
Deep knowledge and experience in data modeling, entity relationship and query analysis optimization
Deep expertise in Python, Snowflake, SQL and DBT. Hands-on project experience with these skills
Expert in using AWS. Real hands-on project experience with these skills is a must
Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution
Experiences designing and building data science and ML models for generating business insights from enterprise system data
Demonstration of strong competence in driving broad consensus and alignment across teams and GEOs
Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly
Excellent team player, experienced in work with different disciplines, domains problems and teams
Excellent interpersonal Experience communicating updates and resolutions to customers and other partners both verbally and written
Rich experience in mentoring and coaching other developers is a must
Deep knowledge and experience of working in Agile process is needed
Embrace changes and can work under pressure
Willing to take challenges and stretch comfortable zone with willingness to participate in professional development activities to stay current on industry knowledge
Preferred Qualifications Rich hands-on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations
Rich domains knowledge in GTM planning, customer segmentation
Rich domains knowledge on data architecture and data model
Experience building and delivering Gen AI capabilities or solution is a plus
Deep knowledge and experience in data science and machine learning
Ideal Candidate Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data
Leadership and Collaboration: Proven ability to lead global teams and work across diverse groups
Experience with Innovation: A creative professional with a passion for transforming data into actionable business insights

#J-18808-Ljbffr

At Autodesk, we as Enterprise Data Engineering team is important to driving business growth and improving operational efficiency through innovative data solutions and insights. We are looking for a Senior Principal Software Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains.
You will report to the Director of Data Engineering in our Enterprise Systems & Experience (ESE) IT organization. You'll lead the delivery of advanced GTM planning solutions and multiple data initiatives, working with a globally distributed, experienced team to transform Autodesk's business processes.
As we collaborate across departments, you'll partner closely with Product Managers in the Data Product & Insight domain to identify high impact use cases, design innovative data products, and deliver actionable insights. Your role will define and optimize Autodesk's approach for GTM planning, account hierarchy, and customer segmentation models.
Location: San Francisco, or remote in United States.
Responsibilities Work with multiple scrum teams (each has 7-9 engineers).
Lead the way of collaboration with scrum teams in US, India, and Singapore where engineering teams are located.
Lead the way of entire complex projects development cycle and accomplish the goals.
Participate in product discovery along with Product Managers, Users and Architects.
Lead in solution design, readout and oversee the delivery of the end-to-end solution implementation.
Experience with sales planning, forecasting, and customer hierarchy, segmentation domains from Business processes, technical solutions, and data wise. Lead design and optimize from enterprise systems, data integrations and architecture perspectives for those domains.
Identify opportunities for improving operational efficiency, increasing business revenue.
Lead, develop, test, and release data science models to create insights from enterprise system data.
Work closely with different partners: Business owners, users, product managers, program managers, architects, engineering managers & developers to translate needs and product requirements to well-documented engineering solutions.
Constantly communicate updates to partners and other partners with stakeholders in different phases regarding requirements clarification, solution/planning review, status/progress sharing.
As the lead developer, boldly lead to design, implement, test, and deliver any data engineering products/components/services in a strategic way. As go-to person for technical solutions across multiple teams and projects, helping to overcome challenges predict risks, and figure out mitigation plan. E.g., drive systematic solutions for both shorter and long term, build a roadmap for technical solutions, contributing to initiatives to improve data engineering practices, disciplines, and excellences.
Discover, define, and guide implementation of long-term technical strategy for data engineering tools, practices, and processes that benefit the team's growth, as well as delivery of high-quality data products.
Be a role model for mentoring & coaching other engineers, applying best practice into team/product and promote our best practice/achievement to external teams.
Minimum Qualifications BS or higher in computer science or related technical discipline.
10+ years of hands-on software and data engineering development experiences in enterprise applications and systems.
Excellent problem-solving and troubleshooting skills and make sound architectural decisions.
Broader knowledge in software architecture concepts.
Experience with data architecture and data platform designs.
Deep knowledge and experience in data modeling, entity relationship and query analysis optimization.
Deep expertise in Python, Snowflake, SQL and DBT. Hands-on project experience with these skills.
Expert in using AWS. Real hands-on project experience with these skills is a must.
Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution.
Experiences designing and building data science and ML models for generating business insights from enterprise system data.
Demonstration of strong competence in driving broad consensus and alignment across teams and GEOs.
Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly.
Excellent team player, experienced in work with different disciplines, domains problems and teams.
Excellent interpersonal experience communicating updates and resolutions to customers and other partners both verbally and written.
Rich experience in mentoring and coaching other developers is a must.
Deep knowledge and experience of working in Agile process is needed.
Embrace changes and can work under pressure.
Willing to take challenges and stretch comfortable zone with willingness to participate in professional development activities to stay current on industry knowledge.
Preferred Qualifications Rich hands-on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations.
Rich domains knowledge in GTM planning, customer segmentation.
Rich domains knowledge on data architecture and data model.
Experience building and delivering Gen AI capabilities or solution is a plus.
Deep knowledge and experience in data science and machine learning.
Ideal Candidate Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data.
Leadership and Collaboration: Proven ability to lead global teams and work across diverse groups.
Experience with Innovation: A creative professional with a passion for transforming data into actionable business insights.

#J-18808-Ljbffr

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Principal Software Engineer Data Pipelines Generative Ai
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