
201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $200M Series D on 2021-08
Consulting • Healthcare • Logistics
LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.
🕒 August 13
🇺🇸 United States – Remote
💵 $182.6k - $295.4k / year
⏰ Full Time
🔴 Lead
📊 Data Scientist
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
📦 Logistics
💰 $200M Series D on 2021-08
Consulting • Healthcare • Logistics
LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.
• Define and lead the product vision, strategy, and roadmap for LaunchDarkly's end-to-end data products, spanning SDK event ingestion, the data platform, and customer-facing data products. • Own the strategy for AI-powered analysis of software delivery data and the agent experience of data products, including CLI, MCP, and Skills. • Drive coherence across data ingestion, processing, storage, and consumption so downstream analytics, experimentation, insights, and integrations rely on a reliable, well-modeled foundation. • Collaborate with engineering, design, marketing, sales, customer success, and support teams to deliver products and define go-to-market plans. • Monitor industry trends and competitor products. • Act as the voice of the customer in product decisions. • Mentor and uplevel product managers and raise data-informed product practice across the organization.
• 8+ years of product experience, especially with data platforms, data infrastructure, analytics, or developer tools. • Alternatively, 8+ years of engineering experience in data-intensive systems with a strong product mindset and desire to transition into product management. • Proven track record of bringing data products to market and driving strategy across multiple teams or a platform-scale product area. • Strong understanding of modern data architectures, including event/streaming pipelines, data warehousing and lakehouse patterns, data modeling, and processing-at-scale trade-offs. • Experience with platform products serving internal teams or developers and end-user-facing data products such as analytics, observability, insights, and experimentation. • Excellent analytical, problem-solving, and decision-making skills. • Strong communication and interpersonal skills, with ability to collaborate effectively with and influence cross-functional teams and senior leadership. • Ability to learn quickly across multiple domains. • Customer-centric product judgment and strong product sense. • Systems-thinking ability across ingestion pipelines and customer-facing dashboards. • Ability to prioritize and manage multiple projects in fast-paced environments. • Strong ownership, business acumen, and ability to align technical solutions with customer and company goals.
• Restricted Stock Units (RSUs) • Health insurance • Vision insurance • Dental insurance • Mental health benefits
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