OPT Pre Sales Consultant Jobs
Pre Sales Consultant jobs on OPT sit at the intersection of technical knowledge and client communication, making them a strong fit for STEM graduates in engineering, computer science, or business. Most roles qualify for STEM OPT extension, giving you up to three years of work authorization without H-1B visa sponsorship.
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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 OPT Pre Sales Consultant Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Pre Sales Consultant Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Pre Sales Consultant
Lead with your technical background
Pre Sales Consultants bridge product and client. Emphasize your degree field and any hands-on experience with software, systems, or data tools. Employers see technical depth as a differentiator that justifies the effort of OPT hiring.
Target companies with established OPT pipelines
Enterprise software and SaaS companies regularly hire OPT candidates for pre-sales roles. Focus on employers with STEM OPT extension history, since they already understand the authorization timeline and are less likely to withdraw offers late.
Clarify your STEM OPT eligibility upfront
If your degree qualifies for STEM OPT extension, say so early in applications and interviews. It signals three years of authorization without lottery risk, which directly reduces the employer's concern about short hiring windows.
Prepare a clear OPT timeline document
Know your exact OPT start date, end date, and STEM extension deadline. Being able to answer timeline questions precisely and confidently reassures hiring managers who are unfamiliar with F-1 work authorization requirements.
Demonstrate client-facing communication skills concretely
Pre-sales roles require presenting technical solutions to non-technical buyers. Bring specific examples from coursework, internships, or projects where you translated complex ideas for a non-specialist audience. Generic claims won't move the conversation forward.
Highlight experience with CRM or sales tools
Familiarity with tools like Salesforce or product demo platforms signals immediate productivity. Even coursework or internship exposure counts. Employers want pre-sales hires who can contribute from week one, not require months of onboarding.
Pre Sales Consultant OPT: Frequently Asked Questions
Can I work as a Pre Sales Consultant on OPT?
Yes, Pre Sales Consultant roles are generally eligible for OPT work authorization as long as the position is directly related to your field of study. Degrees in computer science, engineering, information systems, or business typically satisfy this requirement. If your role involves technical components, you may also qualify for the STEM OPT extension, giving you up to three years of authorization.
Do Pre Sales Consultant jobs qualify for the STEM OPT extension?
Many Pre Sales Consultant positions qualify for STEM OPT extension because they require applied knowledge from STEM degree fields, particularly roles involving software, cloud platforms, or data solutions. Your employer must be enrolled in E-Verify and your degree must appear on the STEM Designated Degree Program list. Confirm eligibility with your Designated School Official before applying for the extension.
How do I find Pre Sales Consultant jobs that sponsor or support OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters Pre Sales Consultant roles by sponsorship willingness and OPT compatibility. Searching there saves time compared to applying broadly and encountering employers who decline to hire on OPT. Focus on enterprise software and SaaS companies, which have the highest rates of OPT and H-1B visa hiring in pre-sales functions.
What happens to my Pre Sales Consultant job if my OPT expires before I get H-1B sponsorship?
If you're on standard OPT without a STEM extension, you have 12 months of authorization. If your employer files an H-1B petition before your OPT ends and USCIS receives it by April 1, you may receive a cap-gap extension that bridges your status until October 1. The STEM OPT extension provides additional time, making it especially important to pursue if your degree qualifies.
Do I need work experience to get a Pre Sales Consultant job on OPT?
Not always, but it helps significantly. Many employers consider candidates with relevant internships, technical project experience, or coursework in product, engineering, or sales-adjacent fields. Entry-level pre-sales roles, sometimes titled Sales Development Representative or Technical Sales Associate, are more accessible for new graduates. Demonstrating both technical fluency and clear communication skills typically matters more than years of direct experience.