
Senior Product Manager β AI/ML
Posted 4 hours ago

Posted 4 hours ago
This is a fully remote position, open to applicants in North America.
β’ Take ownership of the roadmap for essential components of the agentic analytics portfolio, guiding it from initial discovery through to launch and ongoing iteration.
β’ Collaborate with developers, data engineers, and platform teams who are deploying agents against production datasets.
β’ Transform customer feedback into prioritized initiatives for product development.
β’ Define and prioritize features that enhance agent accuracy, reduce latency, manage costs, and increase trust.
β’ Equip the product with evaluations and Langfuse observability to monitor quality metrics.
β’ Analyze the competitive landscape and convert insights into effective positioning, differentiation, and identification of product gaps.
β’ Collaborate with marketing, sales, and developer relations on pricing strategies, packaging, launch materials, and field enablement efforts.
β’ Produce clear internal and public-facing documentation that articulates product features and decision-making processes.
β’ A minimum of 3 years of experience in product management, specifically in developer tools, data infrastructure, or ML/AI products.
β’ Practical knowledge of LLMs and agentic workflows; candidates should have built or shipped relevant projects.
β’ Proficiency in SQL and familiarity with analytical databases.
β’ Excellent written communication skills with the ability to facilitate alignment across engineering, design, and go-to-market teams.
β’ Demonstrated high level of ownership and a strong inclination towards delivering results.
β’ Capability to convey technical concepts to a diverse range of stakeholders.
β’ Experience with LLM observability, evaluations, or inference infrastructure is a plus (nice to have).
β’ Familiarity with pricing for usage-based or token-based products is advantageous (nice to have).
β’ Prior experience with open-source products or involvement in open-source communities is a plus (nice to have).
β’ Understanding of database systems and data processing pipelines; experience with ClickHouse is a significant advantage (nice to have).
β’ Flexible work environment that is friendly to remote work.
β’ Contributions from the employer towards healthcare costs.
β’ Stock options or equity in the company.
β’ Flexible time off policy for employees in the US.
β’ Generous time-off allowances for employees in other countries.
β’ A USD$500 allowance for home office setup for remote workers.
β’ Opportunities to connect with colleagues during company-wide offsite events.
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