Senior Product Manager (JetBrains Context)

Hidden Jobs; United States; Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Hybrid work model

Remote work up to 30 days/year

Additional paid time off

Medical insurance allowance

Learning budget

Meal allowance

Mental health support

Gym stipend

Team events

Job summary

Hidden Jobs is seeking a senior product leader to own a retrieval and context layer for AI coding agents, providing structured knowledge of a codebase before writing code. The role is hands-on and technical, collaborating with engineering and ML teams rather than slide-based product management.

You will define a vision, partner with engineering on indexing pipelines and retrieval quality, translate strategy into actionable milestones, and work with marketing and sales on positioning.

Qualifications

• Proven experience owning a complex developer, platform, or infrastructure product end to end.
• Hands-on familiarity with modern AI coding tools and agent workflows.
• Technical depth across embeddings, retrieval quality, sub-agents, tool-calling, indexing costs, and API design.
• Ability to define metrics for quality-sensitive products and build sustainable evaluation habits.

Responsibilities

• Define and defend a clear product vision for the context layer, including target audiences, use cases, and success metrics.
• Partner closely with engineering and ML teams on indexing pipelines, retrieval quality, and reranking behavior.
• Translate strategy into concrete problem statements, priorities, milestones, and definitions of done.
• Work with adjacent product teams on integrations and with marketing, developer relations, sales, and customer success on positioning.
• Define and track operational metrics such as index freshness, retrieval quality, agent outcomes, adoption, and unit economics.
• Represent the product externally through roadmaps, written updates, conference talks, and community feedback.

Skills

Product ownership

Strategy definition

Cross-functional collaboration

Metrics-driven thinking

Communication

Tools

APIs

Job description

Role overview

A senior product role owning a retrieval and context layer that gives AI coding agents structured knowledge of a codebase before they write code. The position is hands‑on and technical, working directly with engineering and machine learning teams rather than focusing on slide‑based product management.

Responsibilities

• Define and defend a clear product vision for the context layer, including target audiences, use cases, and success metrics
• Partner closely with engineering and ML teams on indexing pipelines, retrieval quality, and reranking behavior
• Translate strategy into concrete problem statements, priorities, milestones, and definitions of done
• Work with adjacent product teams on integrations and with marketing, developer relations, sales, and customer success on positioning
• Define and track operational metrics such as index freshness, retrieval quality, agent outcomes, adoption, and unit economics
• Represent the product externally through roadmaps, written updates, conference talks, and community feedback

Requirements

• Proven experience owning a complex developer, platform, or infrastructure product end to end, including strategy and roadmap
• Hands‑on familiarity with modern AI coding tools and agent workflows
• Technical depth across embeddings, retrieval quality, sub‑agents, tool‑calling, indexing costs, and API design
• Ability to define metrics for quality-sensitive products and build sustainable evaluation habits
• Strong communication skills across engineers, leadership, enterprise architects, and external audiences
• A data-informed approach that blends telemetry, evaluation, customer conversations, and market signals

Nice to have

• Practical experience with search, retrieval, RAG, developer search, or static analysis at scale

Benefits and work setup

• Hybrid working model with flexibility to work from home or an office
• Option to work remotely from abroad for up to 30 days per year
• Extra paid time off beyond standard allowances
• Medical insurance allowance for the employee and family
• Learning budget covering conferences, courses, and language classes
• Lunch or meal allowance on workdays
• Access to mental health support services
• Sports benefit such as an on‑site gym or stipend
• Internal events and team gatherings