Technical Pre Sales Jobs in USA with Visa Sponsorship
Technical pre-sales engineers who need visa sponsorship are a strong fit for H-1B visa and O-1 visas, since the role requires a bachelor's degree in engineering, computer science, or a related technical field, meeting the specialty occupation standard USCIS uses to approve petitions. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsTechnical Consultant (Pre-Sales)
About the Team
This role sits within Elsevier’s Advanced Data Solutions team, which is responsible for selling and enabling customer implementations of Elsevier’s data and software solutions.
Technical Consultants (Pre-Sales) report to the global Director of Technical Consulting (Pre-Sales) while operating in regionally aligned roles, with ownership across North America, EMEA, and APAC (primarily Japan). The team partners closely with Sales, post-sales, and Professional Services teams to support enterprise customer engagements.
About the Role
As a Technical Consultant (Pre-Sales), you will play a critical role in driving revenue growth by partnering with Sales to position Elsevier’s data and software solutions, and analytics capabilities as enablers of customer insight and decision-making. You will act as the technical authority throughout the sales cycle – leading discovery, shaping data-driven use cases, and demonstrating how Elsevier’s offerings can be combined to power advanced analytics, knowledge graphs, and AI-enabled workflows, including grounding LLMs, agents, and RAG applications in trusted scientific data.
This role focuses mainly on pre-sales activities, with close collaboration across post-sales, professional services, and product teams to ensure proposed solutions are technically feasible, scalable, and aligned with real-world delivery and adoption.
Success in this role is built on a strong technical foundation, practical AI and data expertise, curiosity about scientific domains, and exceptional customer-facing skills, enabling you to translate data and software capabilities into compelling, outcome-driven solutions.
Responsibilities
Pre-sales solution leadership
- Develop and maintain expertise in Elsevier’s solutions, including curated datasets, data APIs and integration options, MCP servers, AI agents, and SciBite semantic solutions, and how these combine to give customers' analytics and AI applications trusted access to Elsevier data and deliver insights.
- Lead technical discovery to understand customer objectives, analytical workflows, data landscapes, and success criteria, translating business and scientific challenges into data-driven use cases, solution architectures, and value narratives.
- Design and deliver tailored solution demonstrations showcasing how Elsevier data and software enable insights (e.g., discovery, analytics, AI-powered workflows and agents, and knowledge graph construction).
- Scope and prepare solution proposals, and support proof-of-concepts (PoCs), technical evaluations, and pilots to validate solution fit and value, clearly articulating technical trade-offs, assumptions, and dependencies across data, software, and services.
- Act as a trusted technical advisor throughout the sales cycle, supporting account strategy, solution positioning, and competitive differentiation.
- Stay current with developments in AI (e.g., LLMs, agentic workflows, and responsible AI) and advise customers on how to apply them with Elsevier data, while using AI tools to improve the speed and quality of pre-sales work such as demos, proposals, and PoCs.
Cross-functional alignment
- Validate solution feasibility in collaboration with Product and Professional Services teams to ensure smooth delivery, adoption, and account growth and expansion.
- Capture customer feedback and market insights to inform product positioning, roadmap priorities, and go-to-market strategy in partnership with Product and Marketing teams.
Requirements
- Have deep understanding of data-driven analytics workflows, including data ingestion, enrichment, integration, and insight generation.
- Have working knowledge of Generative AI and LLM-based solutions (e.g., RAG, prompt design, agentic workflows, evaluation, and responsible AI and data governance), and of how NER, ontologies, taxonomies, and knowledge graphs are applied to real-world analytical use cases.
- Have working knowledge of cloud and technical ecosystems (e.g., AWS, REST APIs, SFTP, HTTP, OAuth, Docker, Python, etc.), with familiarity with AI platforms, tooling, and integration patterns (e.g., LLM APIs, MCP).
- Have a degree in a science, technology, or data field (Master’s or PhD advantageous), or equivalent practical experience.
- Experience working in data-intensive enterprise environments (e.g., technology, engineering, pharma, or life sciences); life sciences experience is desirable but not essential, alongside a willingness to learn scientific domains.
- Have an understanding of how data and software are used to support research, analytics, and decision-making is highly valued.
- Experience delivering technical demonstrations and presentations to both technical and non-technical stakeholders.
- Excellent communication, storytelling, and stakeholder-management skills.
- Display confidence leading complex technical discussions and navigating challenging or ambiguous customer conversations.
- Able to travel to customer sites and industry events as required.
Work in a Way That Works for You
We promote a healthy work-life balance and offer flexible working options. Our benefits include wellbeing initiatives, shared parental leave, study assistance, and sabbaticals—supporting both your immediate responsibilities and long-term goals.
Working for You
We offer a comprehensive benefits package, including:
- Health benefits: medical, dental, and vision coverage
- Retirement benefits: 401(k) with match and Employee Share Purchase Plan
- Wellbeing: wellness platform, Headspace subscription, and Employee Assistance Programs
- Insurance: short- and long-term disability, life, accidental death, critical illness, and hospital indemnity
- Family benefits: parental leave, adoption, and surrogacy support
- Savings accounts: HSA, FSA, dependent care, and commuter benefits
- Paid time off, plus volunteer and Employee Resource Group participation days
About the Business
As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes. By combining trusted content with advanced analytics, we support research, education, and clinical practice. At Elsevier, your work contributes to solving global challenges and building a more sustainable future.
U.S. National Base Pay Range: $72,200 - $120,200. Total Target Cash Range: $111,000 - $184,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New York, the base pay range is $79,500 - $132,200, the total target cash range is $122,100 - $203,300. If performed in New York City, the base pay range is $86,700 - $144,200, the total target cash range is $133,200 - $221,700. If performed in Rochester, NY, the base pay range is $72,200 - $120,200, the total target cash range is $111,000 - $184,800. If performed in New Jersey, the base pay range is $85,085 - $135,915, the total target cash range is $130,977 - $209,223. If performed in Ohio, the base pay range is $68,600 - $114,100, the total target cash range is $105,500 - $175,500. Pay mix between base and variable pay varies based on sales role; please discuss with the recruiter.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
Technical Consultant (Pre-Sales)
About the Team
This role sits within Elsevier’s Advanced Data Solutions team, which is responsible for selling and enabling customer implementations of Elsevier’s data and software solutions.
Technical Consultants (Pre-Sales) report to the global Director of Technical Consulting (Pre-Sales) while operating in regionally aligned roles, with ownership across North America, EMEA, and APAC (primarily Japan). The team partners closely with Sales, post-sales, and Professional Services teams to support enterprise customer engagements.
About the Role
As a Technical Consultant (Pre-Sales), you will play a critical role in driving revenue growth by partnering with Sales to position Elsevier’s data and software solutions, and analytics capabilities as enablers of customer insight and decision-making. You will act as the technical authority throughout the sales cycle – leading discovery, shaping data-driven use cases, and demonstrating how Elsevier’s offerings can be combined to power advanced analytics, knowledge graphs, and AI-enabled workflows, including grounding LLMs, agents, and RAG applications in trusted scientific data.
This role focuses mainly on pre-sales activities, with close collaboration across post-sales, professional services, and product teams to ensure proposed solutions are technically feasible, scalable, and aligned with real-world delivery and adoption.
Success in this role is built on a strong technical foundation, practical AI and data expertise, curiosity about scientific domains, and exceptional customer-facing skills, enabling you to translate data and software capabilities into compelling, outcome-driven solutions.
Responsibilities
Pre-sales solution leadership
- Develop and maintain expertise in Elsevier’s solutions, including curated datasets, data APIs and integration options, MCP servers, AI agents, and SciBite semantic solutions, and how these combine to give customers' analytics and AI applications trusted access to Elsevier data and deliver insights.
- Lead technical discovery to understand customer objectives, analytical workflows, data landscapes, and success criteria, translating business and scientific challenges into data-driven use cases, solution architectures, and value narratives.
- Design and deliver tailored solution demonstrations showcasing how Elsevier data and software enable insights (e.g., discovery, analytics, AI-powered workflows and agents, and knowledge graph construction).
- Scope and prepare solution proposals, and support proof-of-concepts (PoCs), technical evaluations, and pilots to validate solution fit and value, clearly articulating technical trade-offs, assumptions, and dependencies across data, software, and services.
- Act as a trusted technical advisor throughout the sales cycle, supporting account strategy, solution positioning, and competitive differentiation.
- Stay current with developments in AI (e.g., LLMs, agentic workflows, and responsible AI) and advise customers on how to apply them with Elsevier data, while using AI tools to improve the speed and quality of pre-sales work such as demos, proposals, and PoCs.
Cross-functional alignment
- Validate solution feasibility in collaboration with Product and Professional Services teams to ensure smooth delivery, adoption, and account growth and expansion.
- Capture customer feedback and market insights to inform product positioning, roadmap priorities, and go-to-market strategy in partnership with Product and Marketing teams.
Requirements
- Have deep understanding of data-driven analytics workflows, including data ingestion, enrichment, integration, and insight generation.
- Have working knowledge of Generative AI and LLM-based solutions (e.g., RAG, prompt design, agentic workflows, evaluation, and responsible AI and data governance), and of how NER, ontologies, taxonomies, and knowledge graphs are applied to real-world analytical use cases.
- Have working knowledge of cloud and technical ecosystems (e.g., AWS, REST APIs, SFTP, HTTP, OAuth, Docker, Python, etc.), with familiarity with AI platforms, tooling, and integration patterns (e.g., LLM APIs, MCP).
- Have a degree in a science, technology, or data field (Master’s or PhD advantageous), or equivalent practical experience.
- Experience working in data-intensive enterprise environments (e.g., technology, engineering, pharma, or life sciences); life sciences experience is desirable but not essential, alongside a willingness to learn scientific domains.
- Have an understanding of how data and software are used to support research, analytics, and decision-making is highly valued.
- Experience delivering technical demonstrations and presentations to both technical and non-technical stakeholders.
- Excellent communication, storytelling, and stakeholder-management skills.
- Display confidence leading complex technical discussions and navigating challenging or ambiguous customer conversations.
- Able to travel to customer sites and industry events as required.
Work in a Way That Works for You
We promote a healthy work-life balance and offer flexible working options. Our benefits include wellbeing initiatives, shared parental leave, study assistance, and sabbaticals—supporting both your immediate responsibilities and long-term goals.
Working for You
We offer a comprehensive benefits package, including:
- Health benefits: medical, dental, and vision coverage
- Retirement benefits: 401(k) with match and Employee Share Purchase Plan
- Wellbeing: wellness platform, Headspace subscription, and Employee Assistance Programs
- Insurance: short- and long-term disability, life, accidental death, critical illness, and hospital indemnity
- Family benefits: parental leave, adoption, and surrogacy support
- Savings accounts: HSA, FSA, dependent care, and commuter benefits
- Paid time off, plus volunteer and Employee Resource Group participation days
About the Business
As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes. By combining trusted content with advanced analytics, we support research, education, and clinical practice. At Elsevier, your work contributes to solving global challenges and building a more sustainable future.
U.S. National Base Pay Range: $72,200 - $120,200. Total Target Cash Range: $111,000 - $184,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in New York, the base pay range is $79,500 - $132,200, the total target cash range is $122,100 - $203,300. If performed in New York City, the base pay range is $86,700 - $144,200, the total target cash range is $133,200 - $221,700. If performed in Rochester, NY, the base pay range is $72,200 - $120,200, the total target cash range is $111,000 - $184,800. If performed in New Jersey, the base pay range is $85,085 - $135,915, the total target cash range is $130,977 - $209,223. If performed in Ohio, the base pay range is $68,600 - $114,100, the total target cash range is $105,500 - $175,500. Pay mix between base and variable pay varies based on sales role; please discuss with the recruiter.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
See all 1,749+ Technical Pre Sales Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Technical Pre Sales roles.
Get Access To All JobsTips for Finding Technical Pre Sales Jobs
Target enterprise software and infrastructure companies
Large enterprise software vendors, cloud infrastructure providers, and cybersecurity firms sponsor technical pre-sales roles most consistently. These companies have established immigration programs and are familiar with H-1B requirements for solution engineers and pre-sales architects.
Emphasize your technical degree on every application
USCIS approves H-1B petitions for pre-sales roles when applicants hold a degree in computer science, electrical engineering, or a directly related field. Lead with your degree prominently, it's the foundation of the specialty occupation argument your employer will make.
Frame your role as technical, not purely sales
Pre-sales engineers face more scrutiny than software developers because the title sounds commercial. Highlight technical responsibilities: architecting solutions, running proof-of-concept engagements, and producing technical documentation. This framing strengthens the specialty occupation case significantly.
Ask about cap-exempt employers early
Universities, nonprofit research institutions, and affiliated entities are exempt from the H-1B lottery. Some pre-sales roles exist at these organizations. If you've missed a lottery cycle, cap-exempt employers offer a direct path to H-1B status without waiting for the next registration period.
Consider the O-1A if you have documented achievements
Pre-sales engineers with speaking engagements, published technical content, industry awards, or a track record of high-value enterprise deals may qualify for the O-1A. This visa has no cap and no lottery, making it a strong alternative if your H-1B petition faces complications.
Browse Migrate Mate before applying broadly
Not every company that posts pre-sales roles is willing to sponsor. Migrate Mate filters jobs to surface employers with an active sponsorship history, saving you from applying to postings that will stall at the offer stage when you mention visa requirements.
Frequently Asked Questions
Does technical pre-sales qualify as a specialty occupation for H-1B purposes?
Yes, when the role demonstrably requires a bachelor's degree or higher in a specific technical field such as computer science, engineering, or information technology. The challenge is that USCIS scrutinizes pre-sales roles more than pure engineering positions, because the duties blend technical and commercial responsibilities. Your employer's petition needs to clearly document that the technical requirements drive the role, not the sales component.
Which visa types do technical pre-sales engineers typically get sponsored for?
The H-1B visa is the most common path, followed by the O-1A for candidates with strong professional recognition. L-1B is an option if you're transferring from a foreign affiliate of a U.S. company and have specialized knowledge of the employer's products or architecture. The TN visa covers pre-sales roles for Canadian and Mexican nationals when the position maps to an approved NAFTA/USMCA occupation category.
What degree does a technical pre-sales engineer need to get sponsored?
A bachelor's degree in computer science, electrical engineering, information systems, or a closely related technical discipline is the standard requirement. Degrees in business with a technology minor are unlikely to satisfy USCIS's specialty occupation standard on their own. If your degree field is adjacent rather than directly related, relevant certifications and work history in a technical domain can strengthen the petition, but the degree field still matters significantly.
How do I find technical pre-sales jobs that actually offer visa sponsorship?
Most job postings don't advertise sponsorship availability clearly, which means you often find out late in the process. Migrate Mate curates roles specifically for candidates who need sponsorship, so you can focus your search on employers already open to the process. This is especially useful for pre-sales roles, where sponsorship willingness varies widely by company size and industry.
Are technical pre-sales roles at higher risk of H-1B denial than engineering roles?
They can be. USCIS has issued RFEs and denials for pre-sales petitions where the job description emphasized revenue targets, client relationship management, or business development over technical duties. Approval rates improve substantially when the petition documents specific technical tasks: solution architecture, integration design, product demonstration engineering, and technical documentation. Companies with prior approvals for the same role title are a safer bet than those sponsoring the title for the first time.
What is the prevailing wage requirement for sponsored Technical Pre Sales jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.