Senior Product Manager

Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking combination of art and science. With a strong product, a proven business, and the DNA of a vibrant, fast-growing startup, we're on the cusp of our next growth spurt. It's the perfect time to join our team of ~500 thinkers and doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed. 

Optimove is looking for a talented Product Manager to join our Product Management team, working on our Opti-X personalisation solution. The ideal candidate will have experience working with machine learning-powered products and will thrive in a fast-paced and innovative development environment that requires strong problem-solving skills and independent self-direction, coupled with an aptitude for team collaboration and open communication.

Responsibilities

• Collaborate daily with the engineering and data science teams to provide context, clarity, and motivation, communicate the requirements, verify correct implementation, prioritise effectively, and engage in technical discussions to resolve challenges in real time.
• Communicate directly with customers and users via calls, emails and online forums to discover potential product ideas, and collect feedback on released features.
• Collaborate with sales, marketing, customer success, operations and professional services to understand the needs and challenges of existing and potential customers and translate these into product requirements.
• Create User Stories for new features and for improvements to existing features, based on thorough understanding of the user needs and on feedback from customers and stakeholders.
• Collaborate with diverse teams across the organisation to drive the adoption of new products and features ensuring there is a clear go-to-market plan developed in tandem with Product Marketing.
• Collect, analyse and present usage analytics to measure and improve the product.
• Contribute to high level product design activities, road mapping and brainstorming with the rest of the product team.
• Stay current with industry knowledge of best practices for product management and data science.

Requirements

The ideal candidate must have:

• At least 2 years of experience as a Product Manager for B2B SaaS products, with multiple paying customers.
• Demonstrated ability to identify and understand customers’ business challenges and come up with creative solutions.
• Hands-on experience building or managing products powered by machine learning or AI.
• Experience designing or interpreting evaluations for AI/ML systems, including A/B tests, offline metrics (e.g. precision/recall), or human-in-the-loop feedback methods.
• Ability to clearly articulate product requirements, provide “the big picture” context, associate them with business objectives and understand the trade-offs they require.
• Experience working in Agile Scrum, and good understanding of the methodology and practices.
• Fluent English with excellent communication skills (written and verbal).
• Strong technical knowledge required for effective collaboration with Engineering and Data Science Teams
• Meticulous attention to detail.
• Excellent people skills – be someone everyone loves working with.

In addition, the candidate must be:

• Comfortable with multi-tasking and changes in priorities.
• Independent, proactive, takes ownership and responsibility.
• Technically literate and not afraid to dive into technical details when needed.
• Smart, curious, self-learner and enthusiastic about product management and ML/AI.
• Willing to occasionally travel abroad (usually up to 3 times a year).

Experience in any of the following will be of high value:

• Digital Experience Platform (DXP) or Digital Experience Analytics (DXA) products.
• Experience working with personalisation engines or recommender systems