Director, Product Management - AI Observability

The shape of it

In the posting’s own words

You will set the vision and strategy for this rapidly growing area, expanding established products while incubating new capabilities that deliver deep visibility into AI infrastructure, model performance, and distributed AI environments. As AI becomes core to modern applications, this team plays a critical role in ensuring customers can deploy and scale AI with confidence.

What it asks for · 10

• You have proven experience in AI product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions.
• You have deep technical knowledge of AI technologies and a strong understanding of machine learning, data science, and related fields, with the ability to translate these capabilities into compelling product experiences.
• You have successfully led product teams, including mentoring and developing product managers, while balancing the need for leadership and hands-on execution.
• You are skilled at prioritizing and delivering complex product roadmaps, balancing short-term needs with long-term strategic goals.
• You are experienced in collaborating with cross-functional teams, including engineering, design, data science, and business stakeholders, to deliver high-impact AI products.
• You have a customer-first mindset, always striving to understand and solve customer pain points through innovative AI-driven solutions.
• You are a strong communicator and influencer, capable of building relationships with senior leadership, engineering teams, and external stakeholders to drive alignment and move initiatives forward.
• You have a proven ability to manage large-scale AI product initiatives, balancing technical feasibility, user experience, and business impact.
• Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus/Plus - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

What the job covers

• Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products.
• Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features.
• Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives.
• Identify new opportunities for AI product innovation and drive them from concept to execution, ensuring they have a measurable impact on our customers and the business.
• Work closely with customers and stakeholders to deeply understand their pain points, ensuring that AI solutions are delivering tangible value and solving real-world problems.
• Define AI product roadmaps and manage the prioritization of features and initiatives to ensure the team’s efforts are aligned with business goals.
• Drive a culture of data-driven decision-making by working closely with data science and analytics teams to inform product strategy and validate assumptions.
• Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision.
• Foster a culture of innovation and excellence in AI product development, ensuring that Datadog remains a leader in AI-powered observability and security solutions.

Tools and skills named

Words the posting leans on

• product25×
• ensuring7×
• business6×
• customer6×
• engineering5×
• experience5×
• solutions5×
• closely4×
• data science4×
• innovation4×
• lead4×
• observability4×
• value4×
• ai-powered3×
• balancing3×
• capabilities3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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