Product Director Risk & Fraud

Tbwa Chiat/Day Inc
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Manager, Data Science - eBay Live

Head of Data Science -Telematics

Freelance Spatial AI and Machine Learning Consultant

Freelance Spatial AI and Machine Learning Consulta - Remote

Machine Learning Engineer

Senior Director, Data Science and Analytics

At Ping Identity, we believe in making digital experiences both secure and seamless for all users, without compromise. We call this digital freedom. And it's not just something we provide our customers. It's something that inspires our company. People don't come here to join a culture that's built on digital freedom. They come to cultivate it.

Our intelligent, cloud identity platform lets people shop, work, bank, and interact wherever and however they want. Without friction. Without fear.

While protecting digital identities is at the core of our technology, protecting individual identities is at the core of our culture. We champion every identity. One of our core values, Respect Diversity, reminds us to celebrate differences so you are empowered to bring your authentic self to work.

We're headquartered in Denver, Colorado and we have offices and employees around the globe. We serve the largest, most demanding enterprises worldwide, including more than half of the Fortune 100. At Ping Identity, we're changing the way people and businesses think about cybersecurity, digital experiences, and identity and access management.

Ping Identity provides the next generation risk detection and management service, enabling frictionless and secured experiences for people all around the globe across any channel at any time.

You Will:

  1. Build the product strategy and roadmap for an AI based Risk detection and management service, so to create a significant impact for our platform.
  2. Gather, specify, deeply analyze and prioritize market requirements for current and future directions and markets.
  3. Build and integrate new AI services and technologies for areas such as threat intelligence. Manage the product life cycle.
  4. Evaluate competitors and the market: capability-oriented and latest technologies.
  5. Build the product requirements documents, aligning with all the relevant stakeholders.
  6. Use metrics and quantitative analysis to gain insights and find new opportunities.
  7. Work with sales, marketing, R&D and other departments.
  8. Run beta and pilot programs with early-stage customers.
  9. Evangelize, educate and train the sales team, sales engineers and the support team.
  10. Constantly innovate and maintain product leadership in the market.

You Have:

  1. Minimum 8 years of product management professional experience.
  2. Experience working for a cyber security, risk, or fraud detection technology company.
  3. Experience defining and launching excellent data-driven and machine learning based products.
  4. Experience building high-performing, scalable, mission-critical applications.
  5. Passion for delivering effective and elegant solution experiences.
  6. Have 'everything is possible' and 'can do it' mentality.
  7. Prioritize wisely, keep deadlines, and take responsibility.
  8. Excellent written and verbal communication skills in English.
  9. Strong interpersonal skills and team management experience; able to coordinate and communicate with product engineering and other departments; excellent teamwork skills.
  10. Bachelor's degree, with an advanced technical or business degree desirable; MBA a plus.

Life at Ping:

We believe in and facilitate a flexible, collaborative work environment. We’re growing quickly, but remain true to the innovative, can-do startup values that got us here. Most importantly, we keep hiring talented, smart, fun, and genuinely nice people because that’s who we want to succeed with every day.

Here are just a few of the things that make Ping special:

  • A company culture that empowers you to do your best work.
  • Employee Resource Groups that create a sense of belonging for everyone.
  • Regular company and team bonding events.
  • Competitive benefits and perks.
  • Global volunteering and community initiatives.
  • Generous PTO & Holiday Schedule.
  • Progressive Healthcare Options.
  • Retirement Programs.
  • Opportunity for Education Reimbursement.
  • Commuter Offset (Specific locations).

Ping is the collective sum of all our individual experiences, backgrounds and influences and we pride ourselves in growing and learning together. We are committed to building an inclusive and diverse environment where everyone’s individuality is respected and everyone has an Identity. In recruiting for new colleagues, we welcome the unique contributions you can bring and encourage you to be your best self.

We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

Apply for this job#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.