{"id":3261429,"url":"https://alion.io/job/elsevier-technical-pre-sales-consultant-professional-services-scibite","title":"Technical Pre-Sales Consultant, Professional Services - SciBite","company":{"id":3090,"name":"Elsevier","domain":"elsevier.com","url":"https://alion.io/company/elsevier","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":24,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Philadelphia, United States","New York, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":72200,"max":120200,"currency":"USD","period":"year","gross":null,"usd_annual":120200},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Docker","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NER","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-03T00:02:15Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Technical Consultant (Pre-Sales)\nAbout the Team\nThis 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.\nTechnical 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.\nAbout the Role\nAs 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.\nThis 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.\nSuccess 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.\nResponsibilities\nPre-sales solution leadership\nDevelop 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.\nLead 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\nDesign 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).\nScope 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.\nAct as a trusted technical advisor throughout the sales cycle, supporting account strategy, solution positioning, and competitive differentiation.\nStay 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.\nCross-functional alignment\nValidate solution feasibility in collaboration with Product and Professional Services teams to ensure smooth delivery, adoption, and account growth and expansion.\nCapture customer feedback and market insights to inform product positioning, roadmap priorities, and go-to-market strategy in partnership with Product and Marketing teams.\nRequirements\nHave deepp understanding of data-driven analytics workflows, including data ingestion, enrichment, integration, and insight generation\nHave 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\nHave 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).\nHave a degree in a science, technology, or data field (Master’s or PhD advantageous), or equivalent practical experience.\nExperience 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.\nHave an understanding of how data and software are used to support research, analytics, and decision-making is highly valued.\nExperience delivering technical demonstrations and presentations to both technical and non-technical stakeholders\nExcellent communication, storytelling, and stakeholder-management skills.\nDisplay confidence leading complex technical discussions and navigating challenging or ambiguous customer conversations\nAble to travel to customer sites and industry events as required.\nWork in a Way That Works for You\nWe 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.\nWorking for You\nWe offer a comprehensive benefits package, including:\nHealth benefits: medical, dental, and vision coverage\nRetirement benefits: 401(k) with match and Employee Share Purchase Plan\nWellbeing: wellness platform, Headspace subscription, and Employee Assistance Programs\nInsurance: short- and long-term disability, life, accidental death, critical illness, and hospital indemnity\nFamily benefits: parental leave, adoption, and surrogacy support\nSavings accounts: HSA, FSA, dependent care, and commuter benefits\nPaid time off, plus volunteer and Employee Resource Group participation days\nAbout the Business\nAs 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.\n\nU.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.\n\nIf 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.\n\nPay mix between base and variable pay varies based on sales role; please discuss with the recruiter.\n\nWe know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Clickhereto access benefits specific to your location.\nWe 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.\nCriminals 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 scamshere.\nPlease read our Candidate Privacy Policy.\nWe 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.\nUSA Job Seekers:\nEEO Know Your Rights.","description_format":"text","description_chars":8221,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Publishing","Clinical Decision Support","Scientific & Lab Software"],"lifecycle":[{"event":"open","at":"2026-10-26T05:45:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 27 · green card filings: 7","filings_12m":27,"filings_prev_12m":36,"green_card_filings_12m":7,"median_offered_wage_usd":122353,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":5}],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.592,"p_room":0.9,"age_days":11,"expected_fill_days":26,"reasons":["conf:5","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":{"stated_usd_annual":120200,"is_top_pay":false},"html_url":"https://alion.io/job/elsevier-technical-pre-sales-consultant-professional-services-scibite","json_url":"https://alion.io/job/elsevier-technical-pre-sales-consultant-professional-services-scibite.json","meta":{"generated_at":"2026-11-03T06:27:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":9006,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3090},"rest":"https://alion.io/mcp/rest/get_company?id=3090"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Felsevier-technical-pre-sales-consultant-professional-services-scibite"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Felsevier-technical-pre-sales-consultant-professional-services-scibite"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Felsevier-technical-pre-sales-consultant-professional-services-scibite"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/elsevier-technical-pre-sales-consultant-professional-services-scibite\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felsevier-technical-pre-sales-consultant-professional-services-scibite"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3261429}},{"tool":"search_jobs","arguments":{"company":"elsevier.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3261429},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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