Advisory Presales Solution Consultant - Platform, Data & AI

Company Description

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI‑enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud‑based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

As an Senior Advisory Solution Consultant – Platform, Data & AI you will be the technical and solution expert partnering with the Solution Sales Executive for Platform, Data & AI. Your mission is to drive innovative business outcomes for enterprise customers by architecting, positioning, and delivering advanced AI and Data solutions on the Service Now platform. You will act as a trusted advisor to C‑suite stakeholders, translating complex technical capabilities into measurable business value, and enabling customers to realise the full potential of AI‑driven transformation.

• Build trusted customer relationships and engage early to support shaping AI and Data strategies.
• Lead consultative discovery sessions with C‑suite stakeholders to understand business challenges, define requirements, and co‑create solution visions that align Service Now’s (Agentic) Platform, Data & AI capabilities with customers’ transformation goals.
• Design innovative, state‑of‑the‑art solution experiences that address specific business challenges and deliver them through impactful storytelling.
• Serve as the technical subject matter expert throughout the sales process, qualifying opportunities, responding to RFPs and RFIs, and providing architectural guidance to ensure solutions are feasible, scalable, and positioned for successful adoption and expansion post‑sale.
• Provide thought leadership that showcases Service Now innovations, inspiring not only the Service Now community but also sales and solution consultant teams.
• Collaborate with broader Solution Consulting teams to build and present reusable yet easily tailored demonstrations, hands‑on proof‑of‑concepts, and “art of the possible” workshops that clearly communicate technical value and business impact, driving customer validation and buy‑in.
• Actively drive and support regional knowledge sharing and enablement activities for customers and partners.
• Present at executive briefings, industry events, and partner forums to share Service Now’s vision on data, analytics, and AI‑driven enterprise transformation.
• Regularly share, document, and scale best practices within the Solution Consulting team.
• Provide essential customer‑based product feedback to Product Management for continuous improvement.
• Guide and mentor colleagues, fostering a culture of collaboration and customer obsession.
• Integrate AI/ML, business intelligence, and analytics strategies into customer solutions, ensuring alignment with business transformation goals.
• Ensure customer advocacy, renewal, and upsell by overseeing adoption and value realisation.

• Translate advanced AI capabilities into executive‑ready narratives and decision frameworks for C‑suite audiences.
• Lead executive briefings on AI operating models, governance, ROI, and risk (responsible AI, privacy, IP protection).
• Build industry‑specific playbooks linking AI use cases to functional outcomes (IT, customer operations, employee experience, security).

• 5+ years in presales solution consulting, technical architecture, or solution delivery in any of AI, Data, Analytics, or cloud platforms.
• Strong business acumen and communication skills to translate technical capabilities into clear business outcomes and value realization.
• Some hands‑on experience with GenAI, LLMs, RAG pipelines, and Vector Databases. Strong understanding of data fabric architectures, data integration strategies, and the modernisation of legacy data…