Alliance Sales Lead- Salesforce

dentsu
London
1 year ago
Applications closed

Related Jobs

View all jobs

Cisco Enterprise Agreement Specialist

Cisco Enterprise Agreement Specialist

Strategic Sourcing Executive

Machine Learning Engineer

Machine Learning Engineer

Computational Biology & Machine Learning Scientist

Company Description

About Merkle

Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC. For more information, visit . 

Job Description

What you will do

Reporting into the Chief Growth Officer, as the Alliance Sales Lead, you will shape and qualify opportunities for handoff to the Enterprise BD team. You'll respond to inbound leads generated via Partner events, Inside Sales and campaigns to further qualify and evaluate for handoff.

Primary objective: Net New Logo lead generation through Salesforce partner source, Salesforce network, own outreach and supporting Merkle related marketing effort Develop accurate, high-quality leads into Merkle’s Salesforce pre-sales team aligned to our sales process Ensure sales tools and documentation are up-to-date on live opportunities to enable accurate pipeline tracking Develop close working relationship with senior vertical portfolio sales leads and marketing to develop outreach campaigns to target clients/industry verticals aligned to Merkle Salesforce sales motions Develop understanding of assigned Salesforce industry vertical, associated Merkle GTMs and case studies to become a trusted partner to the Salesforce Account Executive team and trusted advisor to prospective clients Manage relationships with Salesforce alliance partner account executives to guide Merkle propositions, campaigns and sales opportunities Originate new client and cross/up-sell opportunities for proactive proposals and find new Salesforce service briefs, RFI and RFP opportunities for Merkle

Qualifications

What we are looking for in you

Experience meeting sales quota goals Knowledge and an understanding of Salesforce and ad-tech marketplace Experience architecting complex solutions for large corporations Propose solid solutions to meet customer requirements Must have deep technical experience in integration of multiple solutions and the ability to determine scope, duration, resources required before beginning a project

Additional Information

A few of the benefits

You’ll have a great compensation package, private health & dental insurance, corporate discounts and career development through Dentsu University, and free access to LinkedIn learning 29+ days of annual leave (25 days of regular holidays, Birthdays off and 3 additional wellness days) We also offer the opportunity to volunteer for up to 2 days per year and tend to close down the agency between Christmas and New Years You’ll have a hybrid working schedule, with flexible start/end hours

#LI-GH

At the point of application, you'll have the legal right to work in the UK as we are unable to sponsor visas as this time.

Merkle does not discriminate against job applicants on the basis of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation. Experience stipulated in this job description serves as a guide only and all applications will be considered on their merits, irrespective of experience.

As part of our Diversity and Inclusion agenda, and as an Equal Opportunities employer, if you require reasonable adjustments during the selection process please engage directly with your Recruiter

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.

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.