Senior Sales Engineer in London

The Senior Sales Engineer is part of the Market Intelligence organization and works closely with colleagues across sales, account management, product, research and development, operations and professional services. The team acts as the technical partner to prospective and existing customers, bringing together commercial insight, product expertise and an understanding of customers’ data, technology and workflow requirements.

You will join a collaborative, customer-focused team that shares knowledge, supports continuous improvement and builds strong relationships across functions and regions. As a senior member of the team, you will also provide guidance to colleagues and help connect the team’s day-to-day activity with broader business priorities.

You will own the technical side of the customer lifecycle, from the first discovery conversation through solution design, demonstrations, proof-of-concept engagements, technical validation, scoping and a structured handover to our professional services team. Your ability to understand complex requirements and translate them into clear, credible solutions will directly influence customer confidence, commercial outcomes and successful implementation.

You will serve as a trusted technical adviser on complex opportunities, helping customers understand how our SaaS products, data and workflows can address their business needs. You will also bring customer and market insight back into the organization, helping product and operational teams identify opportunities for innovation, efficiency and an improved customer experience.

Responsibilities:

• Lead the technical customer lifecycle for assigned opportunities, beginning with discovery and progressing through solution design, tailored demonstrations, proof-of-concept delivery, technical validation, scoping and handover to professional services.
• Partner with sales and account management colleagues to understand each customer’s business objectives, decision criteria, technical environment, data requirements and operational workflows, then recommend an appropriate solution and engagement strategy.
• Plan and deliver compelling product demonstrations and proof-of-concept engagements with clearly defined objectives, success measures, responsibilities and timelines.
• Communicate complex technical and product information clearly to technical, commercial and senior business audiences.
• Advise customers and internal stakeholders on complex technical matters, including solution configuration, data workflows, integrations and implementation considerations.
• Work effectively with incomplete or conflicting information, identify viable options and make sound decisions within agreed parameters.
• Collaborate with product, research and development, operations and professional services to ensure accurate technical scoping and a well-documented customer handover.
• Share customer insight, identify opportunities to improve efficiency and quality, and provide guidance or coaching to less-experienced colleagues.
• Stay current on trends in private markets, portfolio monitoring software, financial services and the impact of artificial intelligence on finance, using this knowledge to strengthen customer conversations and solution recommendations.
• Support responses to requests for information and requests for proposals, customer workshops and other sales activities as required.
• Use tools such as Microsoft Excel and, where appropriate, large language model applications to support analysis, solution development and customer engagements.
• Travel as required to support customers, colleagues and business activities.

Basic Required Qualifications:

• An S&P Global employee at this level would typically have 5 + years of experience working in technical and/or customer facing roles involving SaaS products, such as, solutions, technical account management, or engineering. Private Markets, Financial Services, and practical valuations experience is also sought after.
• Demonstrated experience owning the technical elements of a customer lifecycle, including discovery, solution design, product demonstrations, proof-of-concept engagements, technical scoping and implementation handover.
• Strong technical and analytical capability, with the ability to understand customer systems, data, workflows and business requirements and translate them into clear, practical solution recommendations.
• Exceptional communication and presentation skills, with the confidence to engage, advise and influence technical specialists, go-to-market teams and senior business stakeholders.
• Strong problem-solving skills and the ability to analyze complex requirements, identify appropriate solutions and handle objections in group settings.
• Ability to manage competing priorities, coordinate effectively across teams and consistently deliver high-quality work within agreed timelines.
• Sound judgment and adaptability when working with ambiguity, incomplete information or non-routine customer requirements.
• A collaborative and growth-oriented approach, including curiosity, openness to new ideas, willingness to share expertise and the ability to guide or coach colleagues.

Additional Preferred Qualifications:

• Experience working with private-market data, financial-services workflows, financial analysis, private capital flows or valuation processes.
• Experience performing or overseeing valuations of private-market investments, including private equity, venture capital, real assets or private credit.
• Knowledge of valuation methodologies, valuation governance, audit readiness and fair-value reporting.
• Experience with SaaS architectures, RESTful APIs, data integrations, cloud-based platforms or enterprise data workflows.
• Experience using S&P Global products such as iLEVEL, With Intelligence, Private Market Valuations or Capital IQ.
• Experience designing and managing complex proof-of-concept engagements, including agreeing success criteria, coordinating stakeholders and presenting outcomes.
• Experience using large language model applications such as Claude, ChatGPT, Gemini or Copilot in a professional environment.
• Evidence of using customer feedback and professional expertise to improve processes, strengthen team capability or influence product and solution development.

All employees are required to work from the office a minimum of 2 days per week.