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Enterprise Relationship Manager

We're on a mission to change the way businesses make decisions with our cutting-edge AI technology. To achieve that, we’re looking for passionate people to join our open and unconventional workplace. Our inclusive environment welcomes skills and experiences from diverse backgrounds, and defines who we are.

About the role - Who are you?

Signal’s proprietary machine learning technology allows organizations to digitise their domain expertise, creating their own AI and then applying it to the explosion of external data. We have a growing number of accounts where we are bringing new propositions to market that integrate our AI and their expertise to improve the quality of insights they offer to end-clients. We are looking for someone to manage and grow these enterprise accounts.

You bring a sophisticated understanding of how to navigate large organizations, have experience in selling and upselling enterprise software, and take a variety of stakeholders from the C-suite to analysts on a digital transformation journey. You enjoy learning new technologies and how they can deliver customer value and are eager to understand a product roadmap and customer needs and triangulate between the two.

The day-to-day responsibilities - What will you be doing?

You are a seasoned Enterprise Relationship Manager with a deep, consultative approach to client relationship management. You excel at navigating large organizations and have a proven track record of advising C-suite executives and other senior stakeholders on Reputation and Risk. Your expertise in selling and upselling enterprise software and services is matched by your ability to drive strategic, long-term partnerships.

Responsibilities include:

  • Oversee the full commercial relationship with enterprise accounts worth  ~£3M to £5M, driving strategic growth initiatives, multi-year partnerships, and executive alignment. Lead renewal and expansion strategies focusing on increasing account value, customer lifetime value (CLV), and Signal AI’s footprint within each organization. 

  • Anticipate Client requirements by gaining an in-depth understanding of their industry and business challenges and demonstrating the impact that Signal AI is making on the Client’s business outcomes.

  • Serve as a trusted business advisor, providing data-driven insights, industry expertise, and strategic recommendations that help clients maximize the value of Signal AI’s platform. Work proactively to anticipate future challenges and opportunities, delivering consultative solutions beyond immediate product needs.

  • Engage and influence C-suite executives and senior decision-makers, positioning Signal AI as a mission-critical, strategic partner in their digital transformation and intelligence strategies. 

  • Stay ahead of industry trends, competitive dynamics, and AI-driven market shifts to provide clients with forward-thinking insights that strengthen Signal AI’s positioning as an industry leader.

  • Develop and execute a comprehensive account retention strategy in collaboration with Customer Success, Client Services, and the broader Impact Team to drive long-term client engagement and growth.  

  • Develop a deep understanding of the stakeholder landscape and strategic priorities within clients,  identifying opportunities to strengthen and expand relationships across all levels

  • Develop and execute a holistic growth strategy for enterprise accounts, identifying new business opportunities, expanding account penetration, and driving complex, high-value deals that align with client business objectives.

  • Manage stakeholder expectations internally and externally, taking in a variety of opinions and synthesising the key outcomes for success

  • Foster clear, effective communication across internal and external stakeholders, ensuring alignment and transparency in managing complex, evolving accounts.

  • Act as a senior Account Manager within the commercial organization, mentoring cross-functional teams and shaping best practices for enterprise account growth, retention, and consultative selling.


Requirements:

  • A minimum of 5 years in enterprise account management, with a strong background in consultative selling and strategic business development

  • Extensive track record in delighting clients, renewing of existing contracts and meeting and exceeding gross revenue retention (GRR) and net revenue retention targets (NRR)

  • Proven ability to accurately forecast Gross Revenue Retention and Net Revenue Retention across a diverse book of business, throughout the customer lifecycle.

  • Proven track record of presenting and closing at C-Suite level

  • Previous experience of selling SaaS solutions or a software-led sale

  • Previous experience managing APIs, PowerBI and Tableau preferred 

  • Proven examples of where you have a consultative approach to building and retaining a client base

  • Ability to maintain and cultivate knowledge of Signal AI’s suite of Products & Services

  • Demonstrable evidence of handling the full sales cycle and/or managing customer success

  • Evidence of being a market leader in Account Management / Customer Success, demonstrating passion, perseverance and consistent success in what you do

  • Proven experience of where you have developed yourself to stay ahead of market and client changes on your career path

  • Flexible, positive and highly collaborative attitude

Not sure you meet every requirement? Studies show that women and other underrepresented groups often hesitate to apply unless they check every box. At Signal AI, diverse perspectives strengthen our teams, drive innovation, and lead to better performance. So even if your background doesn’t align perfectly with each qualification, we encourage you to apply if you’re passionate about this role.

We're dedicated to creating an inclusive environment where every Signaller feels welcomed, valued, and heard—a place where you can truly thrive as yourself.

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Average salary estimate

$115000 / YEARLY (est.)
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$100000K
$130000K

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What You Should Know About Enterprise Relationship Manager, Signal AI

Join Signal AI as an Enterprise Relationship Manager, and help us transform how businesses utilize AI technology to make informed decisions. Located on the 14th floor at 440 Park Avenue South, our office is a hub for innovation and inclusivity, welcoming diverse talents eager to make an impact. As the Enterprise Relationship Manager, your mission will be to oversee and expand relationships with enterprise accounts valued between £3M to £5M. You’ll dive deep into understanding clients' industries and challenges, providing insightful recommendations that enhance their business outcomes. Your day-to-day responsibilities will involve engaging C-suite executives and senior stakeholders on their digital transformation journeys, ensuring Signal AI is recognized as a vital strategic partner. Your consultative approach will support account growth through developing renewal strategies, driving client retention, and fostering relationships that span all organizational levels. Your knack for synthesizing feedback will guide successful account strategies while collaborating with teams across the company to offer clients the best possible experience. If you thrive in a dynamic environment and have a proven track record in enterprise account management, we want to hear from you. At Signal AI, your expertise and fresh ideas are valued, helping us lead the charge in AI-driven insights and innovation.

Frequently Asked Questions (FAQs) for Enterprise Relationship Manager Role at Signal AI
What are the key responsibilities of an Enterprise Relationship Manager at Signal AI?

As an Enterprise Relationship Manager at Signal AI, your main responsibilities will include overseeing commercial relationships with enterprise accounts, driving growth initiatives, and developing strategic partnerships. You'll engage with C-suite executives, providing expert recommendations and insights to help clients achieve their business objectives using our AI solutions.

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What qualifications do I need to apply for the Enterprise Relationship Manager position at Signal AI?

To apply for the Enterprise Relationship Manager role at Signal AI, you should have a minimum of 5 years of experience in enterprise account management, along with a strong background in consultative selling and strategic business development. You'll also need proven experience in managing SaaS solutions and a track record of client retention and revenue growth.

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How does the Enterprise Relationship Manager contribute to client satisfaction at Signal AI?

The Enterprise Relationship Manager at Signal AI plays a crucial role in client satisfaction by acting as a trusted advisor. You will anticipate client needs, deliver consultative insights, and ensure the client derives maximum value from our AI offerings, ultimately enhancing their outcomes and strengthening long-term relationships.

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What is the work environment like for an Enterprise Relationship Manager at Signal AI?

Signal AI offers a unique and open work environment that values inclusion and diverse perspectives. As an Enterprise Relationship Manager, you’ll be part of a collaborative team where ideas are encouraged, leading to innovation and effective problem-solving in the realm of AI technology.

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What strategies should an Enterprise Relationship Manager employ at Signal AI to drive account growth?

To drive account growth as an Enterprise Relationship Manager at Signal AI, you should develop comprehensive account retention strategies, anticipate client challenges, and proactively identify new business opportunities. Additionally, maintaining strong communication with internal teams and clients will ensure alignment and facilitate effective account management.

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Common Interview Questions for Enterprise Relationship Manager
Can you describe your approach to managing relationships with C-suite executives?

In managing relationships with C-suite executives, I focus on developing a deep understanding of their business challenges and goals. I ensure regular and strategic communication while providing data-driven insights that demonstrate how our solutions can enhance their outcomes.

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How do you handle contract renewals and ensure client retention?

I approach contract renewals by first assessing the client's current satisfaction level and considering how we can expand our services to meet their evolving needs. Open communication and transparency build trust, making it easier to negotiate renewals and drive client satisfaction.

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What experience do you have with consultative selling, and how do you apply it?

I have extensive experience in consultative selling, which involves understanding the client's needs before proposing solutions. I engage clients in discussions to uncover insights, tailoring our offerings to their specific requirements, thus demonstrating our commitment to their success.

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What strategies do you use to manage complex, multi-stakeholder accounts?

To manage complex accounts, I prioritize understanding the stakeholder landscape, mapping out relationships and strategic priorities. Regular check-ins and updates with various stakeholders help ensure alignment and address any concerns promptly.

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How do you maintain industry knowledge relevant to your client accounts?

I stay updated on industry trends by reading relevant publications, attending conferences, and networking with industry professionals. This helps me provide clients with timely insights that can inform their decision-making processes.

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Can you share an example of a successful upsell you've performed?

In one instance, I identified a client's growing needs for advanced analytics features. By presenting a tailored solution that demonstrated potential ROI, I was able to drive a successful upsell that not only increased their investment but also enhanced their operational capabilities.

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How do you align client objectives with your company's product roadmap?

I facilitate discussions with clients to understand their strategic goals and gather feedback on our product offerings. This information is then communicated to our product teams, ensuring that our roadmap reflects client needs and market demands.

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What tools or platforms do you use for managing accounts and client interactions?

I utilize CRM platforms like Salesforce for managing client interactions and tracking account performance. Additionally, I leverage tools like PowerBI for data analysis, enabling me to draw insights that inform my client engagement strategies.

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What do you consider when developing a retention strategy for enterprise accounts?

When developing a retention strategy, I assess client satisfaction levels, identify potential churn risks, and create a tailored engagement plan. This may include regular check-ins, personalized support, and presenting proactive solutions that align with their evolving needs.

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How do you assess the effectiveness of client engagements?

I assess client engagement effectiveness through metrics like client satisfaction scores, retention rates, and overall account growth. Soliciting feedback directly from clients also provides valuable insights into the success of our efforts.

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We're on a mission to change the way businesses make decisions with our cutting edge AI technology. To achieve that, we’re looking for more world-class talent to join our open and unconventional workplace. Our inclusive environment welcomes skills...

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March 22, 2025

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