At a Glance
- Tasks: Lead the strategy and roadmap for Workato's AI agent framework, collaborating with teams to deliver top-notch features.
- Company: Join Workato, a leader in enterprise orchestration, transforming tech complexity into business opportunities globally.
- Benefits: Enjoy a vibrant work environment, flexible culture, and numerous perks that support work-life balance.
- Why this job: Be part of an innovative team shaping the future of AI products in a fast-paced, supportive atmosphere.
- Qualifications: 7+ years in Product Management, including experience with AI products and strong communication skills required.
- Other info: Workato is recognised as a top cloud company and values diversity and inclusion in its workforce.
The predicted salary is between 48000 - 84000 ÂŁ per year.
London, United Kingdom
About Workato
Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.
Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com .
Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company.
But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz ranked us the #1 best company for remote workers
Responsibilities
We are looking for experienced Group Product Manager to join our growing team. In this role, you will be involved in building out the future of the Workato platform and our agent framework. You will collaborate with other product managers, engineering teams and customers to shape our roadmap and deliver a best-in-class Agentic experience on Workato. You will be responsible for:
- The overall strategy for Workato’s AI agent framework on the platform and defining the roadmap for the framework to support multiple initiatives across Workato.
- Analyze adoption and usage data to identify areas for improvement and optimization
- Define product requirements and work with engineering teams to deliver new features and services
- Collaborate with engineering teams and make calculated product decisions to navigate the timely delivery of features.
- Champion key AI initiatives for business-critical parts of the agent framework
- Enable other product teams to build agentic experiences across the Workato platform
- Provide regular updates and reports on product performance and project status to senior management
- Ensure high levels of customer satisfaction by delivering valuable and reliable product features
Requirements
Qualifications / Experience / Technical Skills
- 7+ years in Product Management including 1+ years in AI products.
- Ability to lead technical discussions with internal and external stakeholders
- Comfortable working with qualitative and quantitative data to gather insights and using that to influence roadmap decisions
- A proven track record of building successful products in a fast-paced environment
- Experience working with cross-functional teams to ensure successful delivery and adoption of the product you own
- Bachelor\’s or Master’s degree in a technical field (Computer Science, Engineering or a related discipline)
Soft Skills / Personal Characteristics
- Excellent communication skills with experience writing both technical and business documents
- Strong ability to collaborate with others throughout the company across international time zones
- Able to work independently and efficiently to hit short deadlines
- Strong organizational skills and attention to detail to juggle multiple projects simultaneously
- Ability to navigate projects with multiple stakeholders
- Thoughtful team player, a quick learner, and have a “can do” attitude with a growth mindset
(REQ ID: 1917)
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Staff Product Manager (Agent Frameworks) employer: Workato
Contact Detail:
Workato Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Product Manager (Agent Frameworks)
✨Tip Number 1
Familiarise yourself with Workato's AI agent framework and its current capabilities. Understanding the platform's strengths and weaknesses will allow you to speak knowledgeably about how you can contribute to its development during interviews.
✨Tip Number 2
Network with current or former employees of Workato on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your application.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully led product management initiatives, particularly in AI. Highlighting your past achievements will demonstrate your capability to drive similar success at Workato.
✨Tip Number 4
Stay updated on the latest trends in AI and enterprise orchestration. Being able to discuss recent developments in the field will show your passion and commitment to innovation, aligning with Workato's values.
We think you need these skills to ace Staff Product Manager (Agent Frameworks)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Staff Product Manager position. Tailor your application to highlight how your experience aligns with their needs, especially in AI product management.
Craft a Compelling CV: Your CV should clearly showcase your 7+ years of product management experience, particularly any work related to AI products. Use quantifiable achievements to demonstrate your impact in previous roles, and ensure it is formatted neatly for easy reading.
Write a Strong Cover Letter: In your cover letter, express your enthusiasm for Workato's mission and culture. Highlight specific experiences that demonstrate your ability to lead technical discussions and collaborate with cross-functional teams, as these are key aspects of the role.
Prepare for Questions: Anticipate questions related to your experience with AI products and automation. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your problem-solving skills and readiness for the role.
How to prepare for a job interview at Workato
✨Understand the Company Culture
Before your interview, take some time to research Workato's culture and values. They emphasise a flexible, trust-oriented environment that balances productivity with self-care. Showing that you align with these values can make a strong impression.
✨Prepare for Technical Discussions
Given the technical nature of the role, be ready to engage in discussions about AI products and frameworks. Brush up on relevant technologies and be prepared to discuss your past experiences in product management, especially those involving AI.
✨Showcase Your Data Skills
Workato values candidates who can work with both qualitative and quantitative data. Be prepared to discuss how you've used data to influence product decisions in the past, and think of examples where you've identified areas for improvement based on data analysis.
✨Demonstrate Collaboration Skills
As the role involves working with cross-functional teams, highlight your experience in collaborating with various stakeholders. Share specific examples of how you've successfully navigated projects with multiple teams, especially across different time zones.