Solution Consultant

TalentNeuron
6 months ago
Applications closed

Related Jobs

View all jobs

Data Analytics and AI Consultant – Data Science, Fabric, Python,

Technical Pre-sales Consultant

Sr Business Development Manager, Advertising Measurement and Data Science (MADS), Amazon Advertising

AI Engineer - Data Science

Managing Consultant - Transport - Data Science

Principal Energy Consultant

TalentNeuron is the world's leading provider of labor market analytics, delivering high-fidelity talent data on an unmatched global scale. TalentNeuron delivers actionable talent insight for every region of the world covering countries that collectively represent more than 90% of the world's GDP. Through deep investments in machine learning and artificial intelligence, our technology platform ingests and normalizes hundreds of millions of structured and unstructured data points each day, delivering critical talent insights in support of workforce planning, strategic skills analysis, location optimization, DEI tactics, and sourcing strategies for local, regional, and global talent. These insights can be delivered to clients via software as a service, data as a service, or fully custom research efforts from our team of expert data scientists and advisors.


Our Core Values

Humanity First: We lead with humanity. We foster empathy, kindness, respect, and inclusiveness in all contexts and support one another.

Customers at the Core: We engage in meaningful and constant dialogue with clients to deeply understand and anticipate their needs, and consistently deliver exceptional value. We operate with integrity and do what’s right for our clients, no matter how difficult.

Diverse Minds, One Team: We are curious and seek different perspectives and find common ground, but we act, succeed, fail, and celebrate as one. We openly collaborate, communicate, debate, and compromise across groups.

Pioneering Innovation: We take risks, fail fast, and learn from our experiments. We champion change and evolution without fear and inspire a culture where innovation thrives.

Resilient Perseverance: We think creatively and pragmatically to find solutions, remove barriers, and overcome obstacles. We are equally accountable for the results of the whole team and for our individual commitments, and we find a way to get things done by embracing a “yes we can” attitude.


Role Overview:

The Solution Consultant / Sales Engineer will work closely with the Sales, Product, and Client Engagement teams to drive business growth by delivering tailored product demonstrations and technical solutions to potential clients. You will bridge the gap between our advanced Strategic Workforce Planning offerings and client requirements, ensuring prospects understand how our solutions meet their specific needs.

What You Will Do

  • Technical Expertise & Product Demos:
  • Provide in-depth product demonstrations, highlighting key features that solve prospects’ challenges in end -to-end Strategic Workforce Planning and execution.
  • Comfort speaking and contextualizing the intersection of finance, planning and talent management
  • Customize demos and technical presentations to address industry-specific pain points for global clients.
  • Support the sales team by offering expert knowledge on system capabilities, integrations, and configurations.
  • Solution Design & Scoping:
  • Collaborate with sales executives and clients to understand requirements, design configuration based solutions, and provide input for proposals.
  • Create solution frameworks by understanding client workflows and recommending best practices for implementation.
  • Support the RFP/RFI process by delivering high-quality responses to technical questions and detailed use cases.
  • Implementation and Onboarding:
  • Support the transition of new clients from the sales process into the implementation
  • Conduct client workshops and configuration sessions to design the solution configuration to enable the clients required capabilities
  • Deliver technical expertise within the implementation project to deliver the proposed solution
  • Client Relationship Management:
  • Act as a trusted advisor to clients by providing insights into product usage, technical problem-solving, and future scalability.
  • Build strong client relationships, ensuring a smooth handoff to the post-sales Client Engagement team.
  • Collaboration & Cross-Functional Support:
  • Work closely with product managers and engineering teams to relay client feedback and suggest feature enhancements.
  • Collaborate with marketing and sales to create technical sales materials, white papers, and competitive analysis documentation.
  • Training & Enablement:
  • Conduct training sessions for internal sales teams and clients on advanced product functionalities and best practices for integration.
  • Support the creation and maintenance of the training content within the LMS system used to support client and internal training.
  • Global Client Support:
  • Qualifications:
  • Serve as the technical lead for multi-regional/global HR tech clients, including Europe, Middle East, APAC, and North America, ensuring clients receive localized product insights and solutions.
  • Experience:
  • 5+ years of experience in a Business Consulting, Sales Engineer, Solution Consultant, or Technical Pre-Sales role in the B2B SaaS space, ideally with HR tech or related industries.
  • Experience in working with decision-makers in large complex accounts, preferably with a Human Resources focus
  • Strong knowledge ofFP&A, people analytics (e.g. human resources management & strategy, skill management, strategic workforce planning, etc.), Workforce Planning or workforce planning consulting
  • Direct involvement in the design and/or implementation of large-scale business transformations
  • Experience in SaaS solution selling and implementing / onboarding SaaS products to solve complex business challenges.
  • Skills & Competencies:
  • Excellent presentation and communication skills with the ability to convey complex technical solutions to both technical and non-technical audiences.
  • Experience working with global enterprise clients across diverse regions and industries.
  • Familiarity with APIs, SaaS integrations, cloud platforms, and basic programming concepts.
  • Proven experience in handling RFP/RFI processes and technical documentation.

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.

How to Write a Winning Cover Letter for AI Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for AI jobs with this proven 4-paragraph structure. Perfect for junior developers and career switchers. When applying for an AI job, your cover letter can make all the difference. For many, the process of writing a cover letter for an AI position can be daunting, especially when there are so few specific guides for tailoring it to the industry. However, a clear, effective structure combined with AI-specific language and examples can help you stand out from the competition. Whether you're a junior entering the field or a mid-career professional switching to AI, the following framework will make it easier for you to craft a compelling cover letter. In this article, we’ll take you through a proven four-paragraph structure that works and provide sample lines that you can adapt to your personal experience.