1 день назад
Senior Product Manager (AI)
156 000 - 237 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (AI): Building Workflows and Integrations for an AI development infrastructure platform, with an accent on automation, agent tooling, APIs, and enterprise developer workflows. Focus on defining strategy from zero to GA, designing extensibility and authentication surfaces, and establishing how development work can be safely automated by agents.
Location: Remote within the United States
Salary: $156,000–$237,000 annually, depending on level, role, and location, plus equity and bonus.
Company
provides self-hosted, agent-ready development workspaces that help enterprises run secure, consistent, and governed human- and AI-driven development workflows.
What you will do
- Own the full product lifecycle for Workflows and Integrations, from early concepts through general availability and ongoing scale.
- Define product vision, strategy, roadmaps, and sequencing using customer, market, and business signals.
- Decide which development activities to automate and how to build user trust in unattended agent execution.
- Own the integration ecosystem, including third-party tools, APIs, authentication, partner extensibility, and governance.
- Research enterprise customer problems and lead executive roadmap reviews, product demos, and stakeholder discussions.
- Partner with engineering, design, go-to-market, and product marketing teams on execution, measurement, packaging, licensing, and pricing.
Requirements
- 5+ years of experience building software products end to end, including at least 3 years with developer-facing or infrastructure products.
- Experience with developer platforms, CI/CD, workflow or orchestration systems, API and integration platforms, infrastructure-as-code, or cloud infrastructure.
- Experience taking an agentic or LLM product to production, including tool design, evaluations, and analysis of agent failures.
- Experience owning a platform, API, or extensibility surface, with knowledge of versioning, authentication, and governance trade-offs.
- Experience taking products from zero to general availability and shipping to enterprise engineering organizations.
- Strong technical foundation, independent judgment, and willingness to travel occasionally for customer and industry engagements.
Nice to have
- Experience with automation or orchestration products such as CI systems, data pipelines, RPA, or agent frameworks.
- Experience with pricing strategy, licensing models, onboarding funnels, or open-core business models.
- Experience in both startup and larger-scale organizations.
- Experience representing a product through talks, writing, or other public channels.
Culture & Benefits
- Remote work within the United States.
- Lean processes focused on moving quickly while maintaining product rigor.
- Equity and bonus eligibility.
- Interview process designed to be completed in two to four weeks when schedules allow.
- AI tools may be used for take-home assessments when disclosed, but not during conversational interviews.
Hiring process
- Meet individual contributors, managers, and senior leaders during the interview process.
- Conversational interviews do not permit AI assistance; AI use in take-home assessments must be disclosed.
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