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Advisory Presales Solution Consultant - Platform, Data & AI

ServiceNow

Advisory Presales Solution Consultant - Platform, Data & AI

ServiceNow

Staines

·

On-site

·

Full-time

·

1w ago

Required Skills

Pre-sales Solution Consulting

Technical Architecture

AI and Data Solutions

Business Acumen

Executive Communication

Analytics

Cloud Platforms

As an Advisory Presales 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.

Key Responsibilities

· Technical Leadership & Solution Delivery

o Build trusted customer relationships and engage early to support shaping AI and Data strategies.

o 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.

o Design innovative, state-of-the-art solution experiences that address specific business challenges and deliver them through impactful storytelling.

o 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.

o Provide thought leadership that showcases Service Now innovations, inspiring not only the Service Now community but also sales and solution consultant teams.

o 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.

o Actively drive and support regional knowledge sharing and enablement activities for customers and partners.

o Present at executive briefings, industry events, and partner forums to share Service Now’s vision on data, analytics, and AI-driven enterprise transformation.

o Regularly share, document, and scale best practices within the Solution Consulting team.

o Provide essential customer-based product feedback to Product Management for continuous improvement.

o Guide and mentor colleagues, fostering a culture of collaboration and customer obsession.

o Integrate AI/ML, business intelligence, and analytics strategies into customer solutions, ensuring alignment with business transformation goals.

o Ensure customer advocacy, renewal, and upsell by overseeing adoption and value realisation.

· Strategic Advisory & Executive Engagement

o Translate advanced AI capabilities into executive-ready narratives and decision frameworks for C-suite audiences.

o Lead executive briefings on AI operating models, governance, ROI, and risk (responsible AI, privacy, IP protection).

o Build industry-specific playbooks linking AI use cases to functional outcomes (IT, customer operations, employee experience, security).

To be successful in this role you have:

Technical Expertise

o 5+ years in presales solution consulting, technical architecture, or solution delivery in any of AI, Data, Analytics, or cloud platforms.

o Strong business acumen and communication skills to translate technical capabilities into clear business outcomes and value realization.

o 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 ecosystems to support an AI-first strategy is a benefit.

o Skilled in architectural and value-based discussions on advanced analytics and/or AI, preferably with proficiency in data-driven Agentic AI business solutions.

o Proven ability to engage, influence, and build trust with C-level and senior stakeholders, especially Chief Data Officers, CIOs, Chief AI Officers, and Enterprise Architects.

o Knowledge of low-code, RPA, business process automation, and API management.

o Experience integrating AI into business processes, decision-making, and workflow automation.

· Other Requirements

o Willingness to travel regionally (up to 40–50%) to engage with customers, partners, and internal teams.

FD21

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now office using a third-party service.

Equal Opportunity Employer

Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now obtaining any export license or other approval that may be required by relevant export control authorities.

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

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.

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About ServiceNow

ServiceNow

ServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.

10,001+

Employees

Santa Clara

Headquarters

Reviews

3.9

25 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

2.8

Career

3.5

Management

2.9

45%

Recommend to a Friend

Pros

Good compensation and benefits package

Learning opportunities and skill development

Work-life balance emphasis and flexible remote options

Cons

Toxic management and politics

Heavy bureaucracy and slow decision making

Layoffs and restructuring uncertainties

Salary Ranges

31 data points

Mid/L4

Senior/L5

Mid/L4 · Business Strategy Specialist

6 reports

$122,814

total / year

Base

$106,795

Stock

-

Bonus

-

$122,799

$123,878

Interview Experience

11 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer Rate

45%

Experience

Positive 18%

Neutral 82%

Negative 0%

Interview Process

1

Application Review

2

Phone Screen/Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Round/Panel Interview

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience