# Product Manager at Bland AI

Bland AI is hiring a Product Manager in San Francisco, United States. It pays $135k-$200k a year and Level rates it Works on AI ●●●○; you can [apply on Bland AI](https://jobsbylevel.com/go/98e6477b-c2a9-48e2-9593-6e38e99bd029?utm_medium=ai-agent).

AI Level 3, AI centrality 77 out of 100. San Francisco.

## Details

- Company: [Bland AI](https://jobsbylevel.com/companies/bland-ai)
- AI level: AI Level 3 (score 77 out of 100)
- Location: San Francisco
- Salary: $135k-$200k
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/98e6477b-c2a9-48e2-9593-6e38e99bd029?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=product-manager-at-bland-ai-748b1e

## Prepare for this job

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## Description

The role Bland is hiring a Product Manager to lead our voice AI research product area and own how developers build with Bland through code. You’ll decide which models we build and train, what they should do on a live call, and how we use them in Bland’s agents. When a model can power someone else’s product, you’ll define how developers access it and the full commercialization motion. You’ll also own the path from a developer’s first API call to a voice agent running in production. Bring our API, MCP, CLI, plugins, and docs together so developers can build agents with Codex or Claude, manage changes in GitHub, and deploy from their own tools. You’ll work with engineering, research, Customer Engineering, and marketing to turn those capabilities into products developers adopt and keep using. We’re looking for a technical product builder who loves working with developers, knows what makes a great self-serve developer experience, and loves to win. You’ll set product direction, lead developers across the stack, and ship improvements yourself. You’ll engage the developer community and shape how people build at the frontier of voice AI. The outcome objectives for this role are: Grow the number of developers building on and with Bland. Increase the share of meaningful usage beyond our UI. Grow the proportion of ARR driven by Bland’s AI research. What you'd own Our APIs and developer tools. Shape a consistent experience across the API, MCP, CLI, and plugins. Simplify common tasks, make configuration understandable, and establish clear conventions that developers and coding agents can rely on. Documentation and developer enablement. Own the quality and completeness of our API docs, quickstarts, sample integrations, and guides. Make sure new capabilities ship with a documented path to a working result, and keep those materials current as the platform changes. Developer activation and retention. Understand what developers are trying to build, where they get stuck, and why they leave. Instrument the journey from signup to production, work directly with customers, and turn recurring support issues into product improvements alongside Customer Engineering. Model consumption and commercialization. Own the strategy for bringing our voice models to developers building their own voice experiences. Define which capabilities we offer, how developers integrate them, and how we package and price access. Own the APIs and product surfaces through which customers try, configure, and consume our models, and partner with research on the behaviors and controls they need. Developer relationships and the product story. Help developers understand what they can build and why Bland is a good fit. Work with marketing and Customer Engineering on demos, technical content, launches, and internal enablement. Bring developers together through workshops, hackathons, or other events where they help people build and adopt the product. What you'd be working on The shortest path to a production agent. Make it possible for a developer to go from nothing to a working agent in production via our developer tools as quickly as possible. A coherent platform developers can navigate. Make it clear which capabilities are available and how to combine them. Build complete examples for common use cases, establish consistent API patterns, and carry that clarity through documentation and every new release. Commercializing our suite of voice models. Build the commercial strategy for developers creating their own voice experiences with individual Bland models. Start with Bland’s Text-to-Speech v3 and shape how we bring future models across the voice stack to market, from choosing the right use cases to packaging, pricing, integration, and adoption. You’ll explore the range of AI applications in phone calls, from full-duplex models to research into the dynamics of conversation, and help turn those advances into capabilities developers can build with. What we're looking for A competitive

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