Customer Success Consultant (SME) in Software Solutions

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office or Remote
144K-321K Annually
Entry level
Information Technology • Legal Tech • Analytics
The Role
Provides advanced product and domain expertise to Elsevier customers after sale. Partners with customer success, sales, product, and education teams to drive software adoption, support complex use cases, deliver advisory services and training, resolve escalations, and achieve measurable research and business outcomes. Applies expertise in AI, bibliometrics, data analysis, research evaluation, and scholarly publishing while contributing to renewals, account growth, and product improvement.
Summary Generated by Built In

Are you passionate about helping research institutions maximise the value of data, analytics, and AI-driven solutions to advance science and research?


Do you enjoy partnering with customers and cross-functional teams to deliver measurable outcomes, drive adoption, and shape the future of scholarly research workflows?


About our Team

The Subject Matter Expert (SME) team is part of Elsevier Customer Success and brings deep product and domain expertise across Elsevier solutions. We work closely with Customer Success, Sales, Product and Customer Education to support complex customer needs, strengthen adoption and value realization, and support key customer accounts. The team also brings customer and market insights back into the business to help improve our products, services and customer experience.


About the Role

The Customer Success Consultant (SME) – Software Solutions provides advanced product and domain expertise, consultative support, and institution-level advisory services for Elsevier customers throughout the post-sales customer journey.

The role partners closely with CSMs, Sales, Sales Engineering team, and other internal teams to help customers address complex needs, adopt and embed Elsevier solutions into their institutional workflows, and achieve meaningful business and research outcomes.

The SME is expected to engage proactively where specialist expertise can improve customer value, address adoption gaps, support strategic use cases, or help mitigate customer risk. The role complements the responsibilities of CSMs and SEMs, with clear alignment on ownership and engagement to avoid duplication or gaps in coverage.

The role maintains a deep product focus while applying relevant domain expertise, including knowledge of research evaluation, bibliometrics, scientometrics, data analysis, and the scholarly research and publishing ecosystem.


Responsibilities

  • Partner with CSMs, Sales, SEMs, and regional leaders to identify accounts needing specialist intervention and proactively engage priority customers.
  • Provide institution-level advisory support, helping customers clarify priorities, interpret data and indicators, and embed Elsevier solutions into institutional workflows and evaluation systems.
  • Drive adoption and advanced use of software products, supporting customers through complex use cases, change management, and process improvement initiatives.
  • Deliver consultation, guidance, training, and support for complex customer escalations in partnership with Product, Support, CSMs, and SEMs.
  • Contribute to long-term customer engagement plans, value realization activities, renewals, and account growth initiatives.
  • Maintain visibility of specialist activity, customer priorities, and outcomes through agreed systems, including Gainsight.
  • Apply expertise in Elsevier AI solutions, generative AI, bibliometrics, research evaluation, and scholarly publishing to customer and business needs.
  • Partner across Product, Sales, Sales Engineers, Marketing, Customer Success, and Customer Education to share customer insights and improve learning materials and enablement resources.

Requirements

  • Strong technical and business knowledge of Elsevier Software Products; knowledge of Engineering Products or other relevant Elsevier solutions a plus.
  • Relevant background in software development, scholarly publishing, information science, data analysis, computer science, or a related field.
  • Good understanding of customer needs, workflows, and the scholarly research and publishing ecosystem.
  • Strong consultative, customer success, stakeholder-management, strategic, and critical-thinking skills.
  • Demonstrated ability to translate customer priorities into practical advisory plans, use cases, and measurable outcomes.
  • Ability to work proactively and with a high degree of autonomy while collaborating effectively across teams.
  • Excellent analytical, data storytelling, presentation, facilitation, and communication skills.
  • Experience with Elsevier products or similar analytical and AI solutions.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.


Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.


About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

If performed in Home Based - Poland, the base pay range is zł144,000 - zł267,400. The total target cash range is zł172,800 - zł320,800. 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.

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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.

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Skills Required

  • Strong technical and business knowledge of Elsevier software products
  • Relevant background in software development, scholarly publishing, information science, data analysis, computer science, or a related field
  • Understanding of customer needs, workflows, and the scholarly research and publishing ecosystem
  • Strong consultative, customer success, stakeholder-management, strategic, and critical-thinking skills
  • Ability to translate customer priorities into practical advisory plans, use cases, and measurable outcomes
  • Ability to work proactively with autonomy and collaborate effectively across teams
  • Excellent analytical, data storytelling, presentation, facilitation, and communication skills
  • Experience with Elsevier products or similar analytical and AI solutions
  • Knowledge of Engineering Products or other relevant Elsevier solutions

RELX Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.

  • Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
  • Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
  • Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.

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The Company
HQ: London
10,001 Employees
Year Founded: 1880

What We Do

RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.

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