Product Manager
New
Z
ZyteWeb Data, AI
Globally distributed teamFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years
- Required Skills
- AgileArtificial IntelligenceProduct ManagementCross-functional Team LeadershipRESTful APIs
Requirements
- 5+ years of product management or product owner experience, ideally in a technology company, developer-focused product, platform business, or high-growth startup.
- Proven experience with APIs, platforms, automation tools, or ecosystem-driven product strategies.
- Undergraduate degree in Computer Science or a technical discipline, or equivalent technical fluency through experience.
- Proven ability to own product strategy, roadmap, and execution end to end.
- Experience leading cross-functional teams and aligning stakeholders across product, engineering, design, marketing, sales, and customer-facing functions.
- Ability to discuss technical concepts, product tradeoffs, and architecture-related considerations with engineering teams.
- Demonstrated success building products for technical users, ideally developers.
- Strong written and verbal communication skills.
- Ability to thrive in a fast-paced, unstructured environment.
- Strong product judgment, prioritization skills, and comfort operating in ambiguity.
- Experience taking products from discovery to launch and through post-launch iteration.
Responsibilities
- Define and drive the strategy and roadmap for Zyte’s AI-related product initiatives, with a strong focus on agentic systems and AI-native developer workflows.
- Lead a cross-functional team to deliver capabilities that make Zyte a natural part of how developers build software using AI agents.
- Identify opportunities across integrations, APIs, workflows, ecosystem partnerships, and developer experience that expand Zyte’s relevance in the agentic tooling landscape.
- Work closely with Engineering, Design, Architecture, R&D, and Platform teams to translate ideas into scalable, high-impact product decisions.
- Develop a deep understanding of developers, AI builders, and technical users, and champion their needs throughout the product lifecycle.
- Stay on top of fast-moving market changes in AI, agents, developer tooling, and adjacent ecosystems, and adjust strategy quickly when needed.
- Own product execution from discovery through launch and post-launch optimization, with a strong bias for speed, iteration, and learning.
- Partner with Product Marketing, Sales, Services, DevRel, and Customer Success to support go-to-market readiness and customer adoption.
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