Timescale

Head of Product Marketing, Developer Relations, and Education

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data & Analytics, Enterprise SoftwareIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: (Salary not provided in the description)

Timescale is a product-led growth organization empowering businesses with real-time insights from their data. They are building a cloud-native PostgreSQL platform used by developers building real-time, time-series, and AI applications. This role focuses on scaling the Audience & Content engine, which is responsible for product marketing, developer relations, documentation, education, partner co-marketing, and community strategy. It's a player-coach position requiring direct contributions to strategy, messaging, and content creation.

Responsibilities

  • Define and lead the Audience & Content GTM strategy.
  • Co-develop and continuously refine positioning and messaging.
  • Guide your team to run end-to-end product launches (positioning, enablement, campaign coordination, and ongoing adoption).
  • Oversee a holistic content strategy spanning documentation, blogs, guides, onboarding, enablement, and developer education.
  • Shape our community strategy, including high-touch and low-touch programs.
  • Direct our partner marketing efforts – co-creating content and campaigns with ecosystem and integration partners.
  • Build and manage a high-performing team of experienced ICs and managers.
  • Personally contribute to strategic, high-impact projects (e.g., positioning, major launches, flagship content).
  • Collaborate tightly with the Distribution & Ops team leader to ensure content is maximized for reach, impact, and continuous feedback.

Requirements

  • Experience leading product marketing and/or developer marketing teams in dev tools, infrastructure, or database companies.
  • Experience managing ICs and managers.

About You

  • A strong understanding of the developer landscape.
  • Ability to define and execute a comprehensive GTM strategy.
  • Experience with product launches and content creation.
  • Excellent communication and collaboration skills.
  • A passion for helping developers succeed.

Skills

GTM strategy
Product marketing
Developer marketing
Content creation
Community strategy
Partner marketing
Product launches
Messaging
Positioning

Timescale

Time series data management and analytics

About Timescale

Timescale specializes in managing time series data through its main product, TimescaleDB, which is an open-source database designed to efficiently handle large volumes of data points collected over time. Built on PostgreSQL, TimescaleDB offers reliable performance and operational efficiency. The company serves various industries, including IoT and financial services, enabling clients to analyze and gain insights from time series data for improved decision-making and automation. Timescale differentiates itself by providing both on-premise and cloud-based solutions, along with a freemium model that allows users to access the core product for free while offering premium features and enterprise support for revenue. The goal of Timescale is to enhance how businesses manage and analyze time series data, making it easier and more effective for organizations to leverage their data.

New York City, New YorkHeadquarters
2015Year Founded
$179.8MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees

Risks

Increased competition from Neon offering serverless Postgres databases.
Rebranding as a cloud company may confuse existing customers, risking churn.
Growing popularity of serverless platforms challenges Timescale's traditional offerings.

Differentiation

TimescaleDB is built on PostgreSQL, ensuring reliability and operational efficiency.
Offers both on-premise and cloud-based solutions, catering to diverse business needs.
Freemium model with open-source core attracts a large user base.

Upsides

Increased adoption of edge computing aligns with Timescale's time-series database offerings.
Rise of serverless computing creates opportunities for scalable, on-demand resources.
Growing trend of digital twins boosts demand for robust time-series data management.

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