OPT Technical Pre Sales Jobs
Technical Pre Sales roles sit at the intersection of engineering and business development, making them a strong fit for F-1 OPT students with technical degrees. Your 12-month OPT authorization covers client-facing demos, solution scoping, and proof-of-concept work. STEM OPT extension eligibility depends on your field of study.
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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 204+ OPT Technical Pre Sales Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Technical Pre Sales Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship in Technical Pre Sales
Lead with your technical credentials
Pre Sales hiring managers want engineers who can demo software, not just pitch it. Highlight your degree field and any hands-on lab, capstone, or internship work that proves you understand the product category you'll be selling.
Clarify your STEM OPT eligibility early
Many Technical Pre Sales roles qualify for the 24-month STEM OPT extension if your degree is in engineering, computer science, or a related field. Confirming this upfront removes a common employer concern before it becomes a deal-breaker.
Target companies with established H-1B sponsorship history
Enterprise software and cloud infrastructure firms sponsor H-1B visas at far higher rates than mid-market resellers. Prioritize companies with documented sponsorship patterns, since your OPT window gives them limited time to evaluate you before transition.
Build a technical demo portfolio
Record yourself walking through a product demo or solving a client scenario. Pre Sales interviews often include live demos. A portfolio shows employers you can perform immediately, which shortens the hesitation around OPT authorization and training timelines.
Get comfortable with solution engineering terminology
Roles labeled Solutions Engineer, Sales Engineer, or Pre Sales Consultant all map to similar work. Understanding these overlapping titles helps you apply to a broader pool of OPT-eligible positions and frame your background accurately in cover letters.
Address visa status directly in your application
Do not leave employers guessing about your work authorization. State clearly that you hold F-1 OPT, your authorization end date, and whether you qualify for STEM extension. Proactive clarity builds trust and filters in sponsors faster.
Technical Pre Sales OPT: Frequently Asked Questions
Can I work in Technical Pre Sales on F-1 OPT?
Yes. Technical Pre Sales roles, including Solutions Engineer and Sales Engineer titles, qualify as OPT-eligible employment as long as the work is directly related to your field of study. If your degree is in engineering, computer science, or a related technical discipline, client-facing technical roles typically satisfy the USCIS practical training requirement.
Do Technical Pre Sales jobs qualify for the STEM OPT extension?
Many do. If your degree appears on the STEM Designated Degree Program list and your employer is enrolled in E-Verify, you can apply for the 24-month STEM OPT extension. Technical Pre Sales roles at software and cloud companies frequently meet both conditions. Confirm with your DSO before your standard OPT period expires.
How do I find Technical Pre Sales employers who sponsor OPT and H-1B visas?
Migrate Mate filters Technical Pre Sales jobs by OPT sponsorship willingness and H-1B history, so you are not wasting applications on companies that have never sponsored. Enterprise SaaS, cybersecurity, and cloud infrastructure firms are the most active sponsors in this category. Browsing Migrate Mate by role and company size is the most efficient starting point.
Does client travel affect my OPT authorization as a Technical Pre Sales professional?
Domestic travel for client meetings, demos, and proof-of-concept engagements does not affect your OPT status. International travel requires a valid F-1 visa stamp, a current I-20 signed within the past six months for re-entry, and an unexpired EAD. Consult your DSO before any international trips during your OPT period.
What happens to my OPT authorization if my employer transitions my role from Pre Sales to a sales quota-carrying position?
If your job duties shift significantly, your DSO may need to assess whether the new role still qualifies as directly related to your degree. A move from technical demonstrations and solution scoping toward pure quota-carrying sales could raise questions about OPT eligibility. Document how your core responsibilities remain technical and consult your DSO before accepting any title or function change.