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Principal Product Manager
Job in
Menlo Park, San Mateo County, California, 94029, USA
Listed on 2026-03-12
Listing for:
OutSystems Inc.
Full Time
position Listed on 2026-03-12
Job specializations:
-
IT/Tech
AI Engineer, Data Science Manager, Data Analyst
Job Description & How to Apply Below
US - San Francisco Bay Areatime type:
Full time posted on:
Posted 3 Days Agojob requisition :
R1364
** There are NO limits to your career: come shape the future and be part of a truly unique global culture at Out Systems!
*
* Location:
Menlo Park, California Out Systems is seeking a
** Principal Product Manage
** r to help lead the strategy, roadmap, and execution of our emerging AI Agent platform, Agent Workbench. You’ll be a part of cross-functional teams and define how agents and agentic-enabled applications can simplify, automate, and accelerate the transformation of an organization’s business.
** Key Responsibilities
*** Own the product vision and strategy for designated AI Agent initiatives, aligning with company goals and customer needs.
* Define and prioritize product requirements informed by user research, data insights, and market trends.
* Collaborate with engineering, design, architecture, and data science teams to translate complex AI capabilities into usable, scalable features.
* Partner with GTM teams and Product Marketing to refine positioning, pricing, and adoption strategies.
* Drive continuous improvement and measurable outcomes across the product lifecycle.
** Who you are
*** An accountable self-starter who can take ownership of your product area and ensure that cross-functional teams are on-track with your roadmap
* A flexible person who is comfortable in a quickly changing environment and can operate fluidly between the high-level strategy level and the micro-detail to get things right.
* A curious mind that loves to understand current challenges and can generate many ideas.
* A storyteller who is able to tailor the communication style to the audience and is able to influence others with compelling narratives.
* A data-driven individual who likes working with data and has the ability to synthesize analytic results into relevant and strategic recommendations.
* Organized and able to carry out interdependent projects from start to finish.
* Passionate about technology and able to explain technical concepts in simple terms.
* A team player that works well cross-functionally with a diverse group of stakeholders.
** Qualifications / What You Need To Succeed
*** 7+ years of experience in Product Management, ideally in AI, PaaS, SaaS, or enterprise software.
* Proven leadership experience guiding multidisciplinary teams or managing other PMs.
* Strong technical background or familiarity with modern AI/ML concepts, APIs, and developer tools.
* Excellent communication, storytelling, and stakeholder management skills.
* Deep customer empathy and a track record of shipping impactful, data-driven products.
** Salary Range (base):
** 215k - 222k Salary Determination:
Our salary range is based on industry standards, company performance, and market conditions. We offer competitive compensation packages to attract and retain top determining salary ranges, we consider factors such as
* Market Research:
Industry reports, salary surveys, and online salary databases
* Company Performance:
Financial performance, revenue growth, and budget allocation
* Job Requirements:
Skills, experience, and qualifications necessary for the role
* Geographic
Location:
Cost of living, market conditions, and industry standards in our region
** The Longer Story:
** Out Systems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in.
As the future becomes agentic, our customers need us now more than ever. AI has opened the door to extraordinary possibilities—but inside the enterprise, things are moving fast and feeling chaotic. Some early adopters are making progress in production, but for many, AI tools are sprawling without governance, data isn’t ready, and talent isn’t there yet. Enterprises are still drowning in application backlogs and…
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