175 AI Driven Systems jobs in the United States

Title

Title: AI-Driven Remote Sensing Engineer
Location: Arlington, VA (On-site with potential hybrid flexibility)
Employment Type: Full-Time

A pioneering technology firm at the crossroads of artificial intelligence and geospatial analysis is seeking an AI-Driven Remote Sensing Engineer to elevate its data interpretation capabilities for mission-critical projects. This role is perfect for someone passionate about transforming raw satellite and aerial imagery into meaningful insights for applications in environmental intelligence, defense strategy, and smart infrastructure development. Leveraging advanced computer vision and deep learning methodologies, you’ll contribute to breakthrough innovations that address some of the world’s most complex challenges.

• Design and implement deep learning models to analyze remote sensing imagery for tasks such as object detection, semantic segmentation, and environmental change tracking
• Process a variety of imaging modalities including multispectral, hyperspectral, EO/IR, and synthetic aperture radar (SAR) datasets
• Create scalable pipelines for data ingestion, preprocessing, labeling, and model training tailored to satellite and aerial inputs
• Integrate geospatial data sources with AI-driven outputs to deliver operational insights across industries
• Collaborate with GIS specialists, data scientists, and application developers in the design and deployment of complete geospatial AI solutions
• Support field evaluations, model tuning, and optimization for real-world performance

• Bachelor’s, Master’s, or Doctorate in Computer Science, Remote Sensing, AI, or a related field
• Minimum 3 years of experience applying deep learning models to geospatial datasets
• Hands-on experience with Python and deep learning libraries such as PyTorch, TensorFlow, or Keras
• In-depth knowledge of image segmentation and detection models (e.g., U-Net, DeepLab, Mask R-CNN)
• Experience using geospatial libraries and data formats like GDAL, rasterio, GeoTIFF, or QGIS

• Experience with GIS tools and spatial databases (e.g., PostGIS, ArcGIS)
• Background supporting national security, defense, or environmental programs
• Familiarity with cloud-based geospatial platforms (e.g., AWS SageMaker, Google Earth Engine)
• Eligibility for security clearance highly desirable

• Tackle high-impact challenges using cutting-edge geospatial AI technologies
• Collaborate in an interdisciplinary environment with real-world deployment opportunities
• Gain access to proprietary datasets, modern development infrastructure, and mentorship from top-tier scientists and engineers
• Competitive compensation, professional development resources, and strong career advancement potential

Overview

Product Manager, Ai-Driven Data Management

Prophecy is the AI data analysis company: bringing together data and business experts to find, understand, transform, and deliver data using AI agents by generating, refining, and deploying enterprise class data pipelines both visually and in code.

Prophecy is backed by top VCs and investors including Insight Partners, SignalFire, Databricks, and JPMorgan Chase.

We're seeking a seasoned Product Manager to drive innovation in our platform, expanding Prophecy's capabilities in agentic AI, self-service data transformation, and governed cloud-native data engineering. You'll work across back-end and front-end domains, shaping experiences for both highly technical users and business data experts.

This role is perfect for someone who's been both a software engineer and engineering leader, and who thrives in cross-functional environments developing horizontal data management products at scale.

• Define and drive product strategy for new Prophecy capabilities, focusing on AI-native self-service and enterprise-grade governance.
• Own the product lifecycle: ideation, specification, design, development, go-to-market, and iteration.
• Collaborate closely with engineering and design teams; leverage Figma for UI design and feedback cycles.
• Engage deeply with customers to understand technical challenges across data platforms and build customer-centric solutions.
• Drive product-led growth for both technical and non-technical users on platforms like Databricks, Snowflake, and BigQuery.
• Ensure tight integration with enterprise RDBMS systems (Oracle, SQL Server, PostgreSQL) as part of modernization strategies.

• 5+ years in product management with ownership over technical SaaS or data infrastructure products.
• Prior experience as a software engineer and engineering manager / lead.
• Deep understanding of cloud data platforms (Databricks, BigQuery, Snowflake) and RDBMS (PostgreSQL, Oracle, SQL Server).
• Experience designing front-end experiences, collaborating with designers using Figma, and validating UI with real users.
• Familiarity with agentic AI tools and concepts; ability to translate AI opportunities into practical features.
• Proven ability to build horizontal products that serve cross-functional data users in large enterprises.
• Strong communication skills with both technical teams and executive stakeholders.

• Experience with data transformation, governance, and pipeline management platforms.
• Knowledge of enterprise AI adoption and analytics workflows.
• Passion for enabling diverse user roles (from data engineers to business analysts) to collaborate in governed environments.

• Prophecy covers 99% of employee health insurance and 75% for dependents
• Very competitive compensation
• We offer $200 per month towards wellness, gyms, massages, facials, and more!
• Celebrate your birthday and anniversary with a day off!
• Flexible PTO
• Prophecy provides employees with a $500 professional development reimbursement every year
• Company sponsored Long Term Disability and Life Insurance
• FSA / HSA
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects
• And more!
• Benefits and perks may vary per country

At Prophecy, we hire for merit and foster an inclusive culture where people from diverse backgrounds can excel and do their best work. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Prophecy are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and any other protected characteristics under applicable laws.

Your submission of this information is governed by our privacy policy and our use thereof.

Product Manager, AI-Driven Data Management

About Prophecy

Prophecy is the AI data analysis company: bringing together data and business experts to find, understand, transform, and deliver data using AI agents by generating, refining, and deploying enterprise class data pipelines both visually and in code.

Prophecy is backed by top VCs and investors including Insight Partners, SignalFire, Databricks, and JPMorgan Chase.

About The Role

We’re seeking a seasoned Product Manager to drive innovation in our platform, expanding Prophecy’s capabilities in agentic AI, self-service data transformation, and governed cloud-native data engineering. You’ll work across back-end and front-end domains, shaping experiences for both highly technical users and business data experts.

This role is perfect for someone who’s been both a software engineer and engineering leader , and who thrives in cross-functional environments developing horizontal data management products at scale.

You Will

• Define and drive product strategy for new Prophecy capabilities, focusing on AI-native self-service and enterprise-grade governance.
• Own the product lifecycle: ideation, specification, design, development, go-to-market, and iteration.
• Collaborate closely with engineering and design teams; leverage Figma for UI design and feedback cycles.
• Engage deeply with customers to understand technical challenges across data platforms and build customer-centric solutions.
• Drive product-led growth for both technical and non-technical users on platforms like Databricks, Snowflake, and BigQuery.
• Ensure tight integration with enterprise RDBMS systems (Oracle, SQL Server, PostgreSQL) as part of modernization strategies.

Ideally You Would Have (Requirements)

• 5+ years in product management with ownership over technical SaaS or data infrastructure products.
• Prior experience as a software engineer and engineering manager/lead .
• Deep understanding of cloud data platforms (Databricks, BigQuery, Snowflake) and RDBMS (PostgreSQL, Oracle, SQL Server).
• Experience designing front-end experiences, collaborating with designers using Figma , and validating UI with real users.
• Familiarity with agentic AI tools and concepts; ability to translate AI opportunities into practical features.
• Proven ability to build horizontal products that serve cross-functional data users in large enterprises.
• Strong communication skills with both technical teams and executive stakeholders.

Bonus Points:

• Experience with data transformation, governance, and pipeline management platforms.
• Knowledge of enterprise AI adoption and analytics workflows.
• Passion for enabling diverse user roles (from data engineers to business analysts) to collaborate in governed environments.

Benefits and Perks

• Prophecy covers 99% of employee health insurance and 75% for dependents
• Very competitive compensation
• We offer $200 per month towards wellness, gyms, massages, facials, and more!
• Celebrate your birthday and anniversary with a day off!
• Flexible PTO
• Prophecy provides employees with a $500 professional development reimbursement every year
• Company sponsored Long Term Disability and Life Insurance
• FSA/HSA
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects
• And more!

*Benefits and perks may vary per country

Our Commitment to Merit and Inclusion

At Prophecy, we hire for merit and foster an inclusive culture where people from diverse backgrounds can excel and do their best work. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Prophecy are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and any other protected characteristics under applicable laws.

Your submission of this information is governed by our privacy policy and our use thereof.

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This is a grant funded position with an end date 1 year from the start date. The position is renewable based upon availability of funding, work performance, and progress toward goals with the option to continue until August 31, 2029, if renewed. Note: This candidate must be authorized to work in the United Stated without sponsorship.

The Kowalski Lab at the University of Texas at Austin invites applications for a Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation, translational science, and patient-centered care, contributing to pioneering efforts in integrating multi-modal data for individualized cancer therapy selection.

The lab leads multi-institutional projects combining clinical, molecular, proteomic, and other published data to build explainable and scalable decision-support systems. These systems are designed to bridge gaps in personalized treatment for patients with rare, resistant, or genomically un-targetable cancers.

• Design and evaluate algorithms for treatment and response matching using integrated clinical and molecular datasets.

• Develop knowledge graphs and multimodal embeddings for cancer patient digital twin construction.

• Lead and co-author high-impact publications and grant proposals.

• Collaborate with clinicians, bioinformaticians, and data scientists across UT Austin, and other partners.

• Mentor graduate and undergraduate research assistants and contribute to lab leadership.

• Develop and deploy innovative AI models for treatment discovery and patient-specific decision support.

• Gain experience in translational research across clinical, academic, and technology domains.

• Participate in lab initiatives aligned with NCI, CPRIT, and NIH-funded projects.

PhD in computational biology, bioinformatics, computer science, information science, biomedical engineering, or a related field. PhD must have been received within the last three years, 1 year of experience with machine learning, natural language processing, AI tools and frameworks, data integration, and/or explainable AI. Proficiency in Python and R for use in data science and modeling. Excellent writing and communication skills; demonstrated publication record.

Preferred Qualifications

Knowledge of cancer biology, clinical oncology workflows, or multi-omics data.

$62,232+ depending on NIH level

• Standard office equipment

• Repetitive use of a keyboard

• Resume/CV

• 3 work references with their contact information; at least one reference should be from a supervisor

• Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure thatALLRequired Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

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Retirement Plan Eligibility:

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Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

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Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is . For more information about E-Verify, please see the following:

• E-Verify Poster (English and Spanish) (PDF)
• Right to Work Poster (English) (PDF)
• Right to Work Poster (Spanish) (PDF)

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Lawrence Berkeley National Lab's (LBNL ) Energy Storage & Distributed Resources Division has an opening for a Postdoctoral Scholar in AI-Driven Materials Discovery to join the team.

In this exciting role, you will play a pivotal role in an ambitious, multi-institutional, DOE-funded effort to build the next generation of AI for scientific discovery. This position offers a unique opportunity to work at the frontier of computational materials science, combining machine-learned interatomic potentials (MLIPs), density functional theory (DFT), and large-scale machine learning on some of the world's fastest supercomputers. The scholar will develop and train advanced ML models, design scalable autonomous simulation workflows, and contribute to multimodal AI systems that integrate physics, data, and reasoning. Working closely with collaborators across Berkeley Lab and partner institutions, the scholar will have access to world-class HPC resources and the one-of-a-kind A-Lab automated synthesis facility, enabling research that bridges simulation and experiment. This position is ideal for a creative and highly skilled computational scientist eager to push the boundaries of AI-driven materials discovery and establish themselves as a leader in the field.

What You Will Do:

• Develop, train, and validate machine-learned interatomic potentials for a wide range of inorganic materials.

• Build and optimize high-throughput DFT workflows for property prediction and benchmarking against MLIPs.

• Train and scale machine learning models on leadership-class HPC resources (NERSC, ALCF, etc.) using parallel and distributed computing approaches.

• Contribute to the development of simulation agents that autonomously couple MLIPs, DFT, and molecular dynamics for multiscale modeling.

• Integrate computational results into multimodal foundation models and agentic AI frameworks developed within the overall project.

• Collaborate with computational and experimental scientists to address benchmark materials science problems.

• Publish results in peer-reviewed journals, present at conferences, and contribute to open-source software tools.

Additional Responsibilities as needed:

• Assist in outreach activities, workshops, and tutorials to disseminate project outcomes.

What is Required:

• Ph.D. in Materials Science, Physics, Chemistry, Computer Science, or a related field.

• Demonstrated expertise in training machine learning models, preferably for atomistic or materials science applications.

• Experience with MLIP frameworks (e.g. , NequIP, MACE, CHGNet, GAP, SNAP) and integration with DFT.

• Strong background in DFT methods and workflows (e.g. , VASP, Quantum ESPRESSO, WIEN2k).

• Proficiency in Python and experience with large-scale parallelization and HPC environments.

• Strong publication record in computational materials science, AI/ML for science, or related fields.

• Ability to work independently as well as collaboratively within a large, multi-institutional team. Note that this position will be on-site.

Desired Qualifications:

• Experience with agentic AI or autonomous workflows for science.

• Familiarity with experimental data or integration of simulations with experimental workflows.

• Knowledge of molecular dynamics simulations and force field development (e.g., LAMMPS, ASE).

• Prior contributions to open-source scientific software.

For consideration, please apply by October 1, 2025 with the following application materials:

• Cover Letter - Describe your interest in this position and the relevance of your background.

• Curriculum Vitae (CV) or Resume.

Notes:

• This is a full-time, 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.

• This position is represented by a union for collective bargaining purposes.

• The monthly salary range for this position is $7,987 / mo - $,921.00 / mo and is expected to start at 7,987 / mo or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral and/or related research experience.

• This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

• This position is eligible for onsite only, at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.

Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor.

Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

Samsung SDS America is seeking for an Presales Solution Consultant to drive the presales efforts and adoption of our next-generation AI-Driven eProcurement SaaS solution Caidentia. In this role, you will shape the success of our SRM solution helping businesses revolutionize their supplier relationship management, especially procurement processes and achieve unprecedented efficiency and growth. This is a unique opportunity to be part of a new global business initiative, merging the entrepreneurial drive of a startup with the solid foundation of Samsung SDS America.

The successful candidate has a blend of technical expertise, industry acumen, and outstanding communication skills to engage with prospective clients, understand their business needs and technical requirements, and effectively demonstrate how the SRM solution can address their specific challenges around SRM. The SRM Pre-Sales Solution Consultant will collaborate with partners and act as a technical expert to support the entire sales process. The ability to connect technology with measurable business value is critical and you should have a demonstrated ability to think strategically about business, products, and technical challenges.

Samsung SDS is the digital arm of the Samsung group and a global provider of cloud and digital transformation innovations. Samsung SDS delivers enterprise-grade solutions and services in cloud, secure mobility, analytics/ AI, digital marketing and digital workspace. Samsung SDS enables customers in government, financial services, healthcare, and other industries to drive business in a hyper-connected economy to increase productivity, safeguard assets, and make smarter decisions.

• Act as a trusted advisor by understating the customer's long term goals
• Work closely with customers to understand their requirements, scope projects and conduct product demonstrations
• Articulate technical concepts to all audiences, including C-level executives and customers
• Create compelling business solution strategy and roadmaps
• Complete required pre-sales documentation (configurations, services, proposals, presentations, justifications, etc.)
• Develop services scope, level of effort, and SOWs aligning to customer's required outcomes
• Play a key role between Sales and Delivery in ensuring a smooth project execution and successful implementation
• Partner with our product team to continuously improve our offerings based on market demands, technology advancement, and client innovation
• Research new solutions and develop collateral for field enablement and customer facing use cases
• Engage in marketing campaigns and industry events

• Bachelor Degree in Computer Science, Engineering preferred or related degree required
• 8 years of SaaS sales experience in technical sales or pre-sales roles within the SCM or SRM space
• Strong background in business applications, preferably SCM and SRM
• Strong understand of direct procurement space is preferred
• Strong knowledge of the supplier management, procurement processes, and supply chain dynamics
• Excellent customer relationship management skills, including effective oral and written communications
• Demonstrated ability to articulate complex ideas in a simple and understandable manner
• Experience communicating across technical and non-technical audiences
• Outstanding problem solving and analytical skills, including ability to build clear observations, analysis and conclusions based on customer interviews and data
• Demonstrated ability to adapt to new technologies and learn quickly
• Flexibility to travel up to 40% of the time
• Eligibility to work in the US for any employer without restrictions
• Must be based in the US

• Top-notch medical, dental, vision and prescription coverage
• Wellness program
• Parental leave
• 401K match and savings plan
• Flexible spending accounts
• Life insurance
• Paid Holidays
• Paid Time off
• Additional benefits

Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.

We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request to this e-mail.

Overview

Samsung SDS America is seeking a Presales Solution Consultant to drive the presales efforts and adoption of our next-generation AI-Driven eProcurement SaaS solution Caidentia. In this role, you will shape the success of our SRM solution helping businesses revolutionize their supplier relationship management, especially procurement processes and achieve unprecedented efficiency and growth. This is a unique opportunity to be part of a new global business initiative, merging the entrepreneurial drive of a startup with the solid foundation of Samsung SDS America.

The successful candidate has a blend of technical expertise, industry acumen, and outstanding communication skills to engage with prospective clients, understand their business needs and technical requirements, and effectively demonstrate how the SRM solution can address their specific challenges around SRM. The SRM Pre-Sales Solution Consultant will collaborate with partners and act as a technical expert to support the entire sales process. The ability to connect technology with measurable business value is critical and you should have a demonstrated ability to think strategically about business, products, and technical challenges.

Samsung SDS is the digital arm of the Samsung group and a global provider of cloud and digital transformation innovations. Samsung SDS delivers enterprise-grade solutions and services in cloud, secure mobility, analytics/ AI, digital marketing and digital workspace. Samsung SDS enables customers in government, financial services, healthcare, and other industries to drive business in a hyper-connected economy to increase productivity, safeguard assets, and make smarter decisions.

Location : This is a 100% remote role based in the US. Business travel is required up to 40%.

• Act as a trusted advisor by understating the customer’s long term goals
• Work closely with customers to understand their requirements, scope projects and conduct product demonstrations
• Articulate technical concepts to all audiences, including C-level executives and customers
• Create compelling business solution strategy and roadmaps
• Complete required pre-sales documentation (configurations, services, proposals, presentations, justifications, etc.)
• Develop services scope, level of effort, and SOWs aligning to customer’s required outcomes
• Play a key role between Sales and Delivery in ensuring a smooth project execution and successful implementation
• Partner with our product team to continuously improve our offerings based on market demands, technology advancement, and client innovation
• Research new solutions and develop collateral for field enablement and customer facing use cases
• Engage in marketing campaigns and industry events

• Bachelor Degree in Computer Science, Engineering preferred or related degree required
• 8 years of SaaS sales experience in technical sales or pre-sales roles within the SCM or SRM space
• Strong background in business applications, preferably SCM and SRM
• Strong understand of direct procurement space is preferred
• Strong knowledge of the supplier management, procurement processes, and supply chain dynamics
• Excellent customer relationship management skills, including effective oral and written communications
• Demonstrated ability to articulate complex ideas in a simple and understandable manner
• Experience communicating across technical and non-technical audiences
• Outstanding problem solving and analytical skills, including ability to build clear observations, analysis and conclusions based on customer interviews and data
• Demonstrated ability to adapt to new technologies and learn quickly
• Flexibility to travel up to 40% of the time.
• Eligibility to work in the US for any employer without restrictions
• Must be based in the US

Samsung SDSA offers a comprehensive suite of programs to support our employees:

• Top-notch medical, dental, vision and prescription coverage
• Wellness program
• Parental leave
• 401K match and savings plan
• Flexible spending accounts
• Life insurance
• Paid Holidays
• Paid Time off
• Additional benefits

Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.

We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request to this e-mail.

Overview

Samsung SDS America is seeking for an Presales Solution Consultant to drive the presales efforts and adoption of our next-generation AI-Driven eProcurement SaaS solution Caidentia. In this role, you will shape the success of our SRM solution helping businesses revolutionize their supplier relationship management, especially procurement processes and achieve unprecedented efficiency and growth. This is a unique opportunity to be part of a new global business initiative, merging the entrepreneurial drive of a startup with the solid foundation of Samsung SDS America.

The successful candidate has a blend of technical expertise, industry acumen, and outstanding communication skills to engage with prospective clients, understand their business needs and technical requirements, and effectively demonstrate how the SRM solution can address their specific challenges around SRM. The SRM Pre-Sales Solution Consultant will collaborate with partners and act as a technical expert to support the entire sales process. The ability to connect technology with measurable business value is critical and you should have a demonstrated ability to think strategically about business, products, and technical challenges.

Samsung SDS is the digital arm of the Samsung group and a global provider of cloud and digital transformation innovations. Samsung SDS delivers enterprise-grade solutions and services in cloud, secure mobility, analytics/ AI, digital marketing and digital workspace. Samsung SDS enables customers in government, financial services, healthcare, and other industries to drive business in a hyper-connected economy to increase productivity, safeguard assets, and make smarter decisions.

• Act as a trusted advisor by understating the customer's long term goals
• Work closely with customers to understand their requirements, scope projects and conduct product demonstrations
• Articulate technical concepts to all audiences, including C-level executives and customers
• Create compelling business solution strategy and roadmaps
• Complete required pre-sales documentation (configurations, services, proposals, presentations, justifications, etc.)
• Develop services scope, level of effort, and SOWs aligning to customer's required outcomes
• Play a key role between Sales and Delivery in ensuring a smooth project execution and successful implementation
• Partner with our product team to continuously improve our offerings based on market demands, technology advancement, and client innovation
• Research new solutions and develop collateral for field enablement and customer facing use cases
• Engage in marketing campaigns and industry events

• Bachelor Degree in Computer Science, Engineering preferred or related degree required
• 8 years of SaaS sales experience in technical sales or pre-sales roles within the SCM or SRM space
• Strong background in business applications, preferably SCM and SRM
• Strong understand of direct procurement space is preferred
• Strong knowledge of the supplier management, procurement processes, and supply chain dynamics
• Excellent customer relationship management skills, including effective oral and written communications
• Demonstrated ability to articulate complex ideas in a simple and understandable manner
• Experience communicating across technical and non-technical audiences
• Outstanding problem solving and analytical skills, including ability to build clear observations, analysis and conclusions based on customer interviews and data
• Demonstrated ability to adapt to new technologies and learn quickly
• Flexibility to travel up to 40% of the time
• Eligibility to work in the US for any employer without restrictions
• Must be based in the US

• Top-notch medical, dental, vision and prescription coverage
• Wellness program
• Parental leave
• 401K match and savings plan
• Flexible spending accounts
• Life insurance
• Paid Holidays
• Paid Time off
• Additional benefits

Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.

We are committed to providing reasonable accommodations to participate in the job application or interview process for candidates with disabilities. If you need assistance and/or a reasonable accommodation, please send your request to this e-mail.

Mid-Senior level

Full-time

Industries

Non-profit Organizations and Primary and Secondary Education

Join to apply for the Product Lead @ AI-Driven Sales Automation Startup role at Right Hand Talent

Join to apply for the Product Lead @ AI-Driven Sales Automation Startup role at Right Hand Talent

Get AI-powered advice on this job and more exclusive features.

Our client is building autonomous digital workers that handle routine work end-to-end, freeing humans to focus on what they do best—creating, innovating, and building meaningful relationships. They are one of the world’s fastest growing companies in the artificial intelligence space. They have achieved a 20x increase in ARR and raised $75M+ from leading investors including a16z and Benchmark. Their team works in-person in their San Francisco office.

Position Overview:

They need a relentless product manager with a proven track record. Your mission: create and implement a scalable strategy for one of our products. As a key team member, you’ll develop and execute a bold product strategy aligned with our aggressive business goals.

You will create a high-impact product roadmap, collaborate with cross-functional teams, and drive the product development process efficiently from ideation to launch. You’ll conduct thorough user research, gather customer feedback, and utilize data to make informed decisions. Working hand in hand with their leadership team, CEO, Engineering, and Sales, you will innovate and directly own the product efforts for a product line from the ground up.

Key Responsibilities:

• Product Strategy: Develop and implement a bold product strategy aligned with company goals.
• Product Roadmap: Create and maintain a clear, high-impact product roadmap
• Team Collaboration: Work closely with engineering, design, marketing, and sales to execute product initiatives
• Customer Focus: Conduct user research and gather feedback to inform product decisions
• Product Development: Lead the development process efficiently from ideation to launch
• Metrics and Optimization: Define key metrics and use data to drive continuous improvement

Qualifications:

• Experience: 4+ years in product management with experience working in high growth startups.

• Strategic Vision: Ability to translate business goals into actionable product plans

• Leadership: Proven leadership skills in driving cross-functional collaboration

• Customer-Centric: Strong understanding of customer needs and user research Analytical: Data-driven decision-maker with strong analytical skills

• Communication: Excellent communication and presentation skills

• Entrepreneurial: Passionate about building impactful products in a fast-paced environment

• Entrepreneurial experience, whether as a founder or through side projects
• Building SaaS tools for Sales leaders, e.g., CRO, VP Sales, and Sales Ops

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Product Management and Marketing
• Industries Staffing and Recruiting

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