Product Marketing Manager

Panaseer
8 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager FullTime London

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

Senior Product Manager - AI, ML & Data Science

Senior Machine Learning Product Manager (Deploy)

Sr Business Development Manager, Advertising Measurement and Data Science (MADS), Amazon Advertising

Who we are: 

Panaseer is a unique business that is changing the face of enterprise security. 

As a scale-up at the intersection of data science and big data technology, our Continuous Controls Monitoring platform (CCM) pioneered a new market category in the rapidly growing security sector. CCM enables global organizations to better protect themselves from cyber-attacks by ensuring their cybersecurity defenses are fully deployed and working effectively at all times.  

Panaseer has grown rapidly over the past decade and won numerous industry awards, most recently being recognized by the World Economic Forum as a 2023 Technology Pioneer helping to solve the world's most pressing issues. We are also included in three 2023 Gartner Hype Cycles Reports for Security Operations, Cyber Risk Management, and Workload and Network Security.  

The company's continued growth is built on our shared values, which shape how we treat one another and the decisions we make. We want everyone at Panaseer to feel empowered to be authentically themselves, engage their curiosity and work together to create something truly unique. 

Role and Responsibilities: 

As a Product Marketing Manager, you will play a crucial role in developing compelling messaging across product and sales content to help our marketing team tell stories, the sales team to sell the value of Panaseer and our customer success teams to drive adoption. This role will involve working closely with our product team on product launches, and our sales team on enablement. 

Key responsibilities: 

  • Messaging: Craft compelling product messaging that resonates with target personas. Develop content for launch assets, marketing programs, and strategic scenarios. Refine the go-to-market strategy to reflect customer insights and improve funnel conversion rates. 
  • Market and competitor analysis: Conduct in-depth market research and competitive analysis to inform strategic decisions. Understand customer challenges, pain points, and the competitive landscape to shape effective messaging strategies. 
  • Product launches: Co-ordinate, shape and execute external release plans of new products and features, working closely with product managers, creating messaging and briefing internal teams.  
  • Sales enablement: Develop and maintain sales enablement materials such as product decks, battle cards, one-pagers, case studies and training sessions. 
  • Campaigns: Work with the marketing team to develop and execute product marketing campaigns, co-ordinating activities across the marketing team. 
  • Cross-functional collaboration: Build strong partnerships with product, sales, marketing and customer success teams to ensure product marketing is aligned with other functions. 

Requirements

Who you are: 

  • You enjoy a fast-paced environment and comfortable creating new processes, working with and creating buy-in from stakeholders across the organization. 
  • You’ve got a good technical understanding of cybersecurity and can translate complex concepts into simple messaging. 
  • You’re highly organized and enjoy managing projects involving multiple stakeholders from across the organization. 
  • You’re a proactive and strong communicator, both verbally and written, with the ability to influence and present complex ideas clearly. 
  • You’re able to adapt to changing priorities and excited to work in a diverse, distributed team. 
  • You have a growth mindset and a passion for learning, while continuously improving yourself and those around you. 
  • You’re a team player and enjoy working with a broad cross-functional team including product, sales, marketing and customer success. 

 

Your experience: 

  • Background: 3+ years in product marketing roles with a strong background in enterprise B2B sales, ideally in SaaS and cybersecurity organizations with complex decision-making committees. 
  • Messaging: Skilled at understanding and crafting product messaging with experience tailoring messaging for different personas and market segments. You can translate complex concepts into simple messaging. 
  • Product launch: Proven ability to manage product feature launches, from ideation with product teams and sales enablement to promotional activities and monitoring success. 
  • Content creation: Demonstrated ability to create engaging and impactful product marketing materials, including sale decks, case studies, data sheets, videos, blog posts, and educational materials.  
  • Analysis: Proficient in market research and competitor analysis to stay ahead of trends as well as draw insights from win/loss analysis to help inform and improve sales conversion. 

 

Desirable skills: 

  • Experience of Pragmatic Marketing (or similar) frameworks. 
  • Degree in Marketing, Business or related field. 

Benefits

At Panaseer, we strive to enable the best environment and atmosphere: 

  • An annual leave allowance of 25 days per year 
  • Competitive salaries including equity options  
  • Company pension scheme / 401k 
  • AXA Health Insurance for you and your family / Private Health insurance for you and your family 
  • Life and income protection insurance 
  • We are currently offering a productivity allowance to support remote working (£80 per month tax free) / ($100 per month tax free) 
  • Access to benefits market and employee discounts (Bike to Work Scheme, Workplace Nursery Scheme) / Access to benefits market and employee discounts 
  • In-house online wellbeing coaching support  

Diversity  

Panaseer is an equal employer, committed to encouraging diversity and eliminating discrimination in both its role as an employer and as a provider of services. Our aim is that our staff are truly representative of all sections of society and work in an environment where everyone is respected and able to perform to the best of their ability. Our policy is to provide equality and fairness for all in our employment and in our provision of services and not to discriminate, or favour, on the grounds of race, colour, religion, gender identity, sex, sexual orientation, pregnancy, nationality or national origin, ancestry, citizenship, age, neurodiversity, marital status, parental status, disability, medical condition, physical appearance or socio-economic status.  

Accessibility- If you require assistance in applying for open positions please contact . 

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.