Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$209к-250к/год
$180к$200кмедиана$240к
По похожим ролям (50) ~ $200к/год
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Чётко очерченная продуктовая роль уровня Staff в сильной продуктовой компании: зарплата около медианы рынка, заметная зона ответственности и подробно описанные отпуск и акции.
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Щедрый отпускПонятная зона ответственностиЗарплата выше медианыВостребованная инфраструктура
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Product Manager (Enterprise Deployment Solutions) (BYOC/Federal Cloud): Define and scale Grafana Labs deployment products for regulated and customer-owned environments with an accent on product strategy, compliance constraints, and enterprise positioning. Focus on adapting Grafana Cloud capabilities, balancing customer value with engineering cost, and coordinating complex work across Engineering, Security, Compliance, Legal, and go-to-market teams.
Location: United States (Remote); candidates are considered in the US EST.
Base compensation in the United States: $208,602–$250,322 per year, plus RSUs.
Company
hirify.global develops Grafana Cloud, a fully managed observability platform built on open source and open standards and used by more than 10,000 organizations.
What you will do
Define the vision, strategy, and roadmap for Grafana BYOC and Grafana Federal Cloud using product data and market research.
Own positioning, messaging, differentiation, competitive analysis, enablement, launches, and demand programs with Product Marketing.
Partner with Engineering and Technical Program Management on deployment-environment buildouts, balancing customer timelines, technical constraints, and engineering capacity.
Work with customers, prospects, field teams, partners, resellers, and analysts on strategic deals and deployment options.
Partner with Security, Compliance, and Legal on product changes affecting authorizations and customer commitments.
Use AI tools for research, product-signal analysis, and positioning while applying independent judgment.
Requirements
At least 5 years of product management experience with a technical B2B product, or a technical background in software engineering, solutions architecture, SRE, or technical program management combined with a demonstrated move into product ownership.
Hands-on experience with a non-standard SaaS deployment model such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, including understanding of its effects on the product, operations, and economics.
Experience with cloud infrastructure, platform software, or developer tools.
Clear product and go-to-market judgment, including shaping product direction, positioning, and sales approach.
Interest in working with US public-sector customers and learning their needs and buying cycles; deep compliance expertise is not required.
Experience leading across multiple teams without direct authority and excellent written and verbal communication in a remote, globally distributed organization.
Nice to have
Experience selling to or building for US federal, state, or local government customers or other highly regulated industries.
Familiarity with FedRAMP, StateRAMP/GovRAMP, BSI C5, SecNumCloud, AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud.
Experience with pricing and packaging across deployment models.
Experience with observability, monitoring, or other data-intensive infrastructure products.
Experience working with resellers, systems integrators, or cloud marketplace partners.
Familiarity with open source software or commercial open source companies.
Culture & Benefits
100% remote work with a globally distributed team and a remote-first culture.
Autonomy, transparent communication, high trust, and an innovation-driven environment.
RSUs for all team members and defined career growth pathways.
In-person onboarding with fellow Grafanistas.
Global annual leave policy of 30 days per year, including 3 Grafana Shutdown Days, subject to local legislation.
Hiring process
Compensation and level are assessed throughout the interview process.
Recruiting may use AI tools to match CV information to job postings, with manual CV review by the recruitment team.
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