About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for an IS Data Engineer based in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.

As an IS Data Engineer, you will play a crucial role in powering data-driven decision-making across the organization. You'll be responsible for building and optimizing robust data pipelines that transform raw data into curated, high-quality datasets for analysts, data scientists, and other business stakeholders. Your work will help automate and streamline the flow of data, ensuring it is both accessible and secure while enabling advanced analytics and machine learning. This is a highly collaborative role that involves working with multiple teams to meet emerging data needs and support business goals through innovative data engineering solutions.

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About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Data Engineer in Manila, Philippines.

We are looking for a highly skilled Senior Data Engineer to join a growing data team dedicated to transforming raw data into actionable insights across the organization. In this role, you will design and implement scalable data transformation pipelines, enhance existing frameworks, and help build a modern lakehouse architecture. You'll work with cutting-edge tools like DBT, Snowflake, Airflow, and Python, with a focus on empowering business users through data. If you’re passionate about building robust, reliable, and forward-looking data platforms, we’d love to hear from you.

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About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Analytics Engineer in United States.

As a Data Analytics Engineer, you will be pivotal in shaping the company’s data function. You will build and maintain data models, improve data collection and reporting processes, and work cross-functionally to ensure reliable, accurate, and up-to-date data is available for decision-making. Your role will involve writing SQL for ETL flows, collaborating with engineering teams to evolve the data stack, and advocating for a data-driven culture throughout the organization. The ideal candidate thrives in a fast-paced environment, enjoys digging into data, and is passionate about creating impactful, actionable insights.

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About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a VP of GTM Strategy & Operations in the United States.

In this role, you will be responsible for developing and leading a comprehensive go-to-market strategy, driving the expansion of new markets and products, and optimizing revenue operations across multiple sales segments. Your leadership will guide the growth of the company’s revenue function, ensuring alignment with broader organizational objectives while supporting strategic business opportunities. You will manage a high-performing team across revenue operations, partner marketing, and sales enablement, enabling efficient scaling and accelerating growth.

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About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Senior Data Scientist, Growth in the US & Canada.

In this role, you will be responsible for providing key insights and developing frameworks that support decision-making and growth strategies for a major product. You will collaborate with cross-functional teams to analyze complex datasets, optimize user acquisition and retention strategies, and improve the long-term success of the product. Your work will directly contribute to the product's global reach while preserving its core values and mission.

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About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Forward-Deployed AI Engineer in the United States.

As a Forward-Deployed AI Engineer, you will work closely with customers to ensure the successful implementation of AI solutions. Your role will involve collaborating with analytics and business intelligence teams, enhancing product capabilities, and working with the applied science team to improve self-learning algorithms. You will be at the forefront of deploying AI pipelines in production at scale and will have the opportunity to contribute to product strategy and architecture.

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Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a (Sr. Data Product Business Analyst - #1719), remotely from (United States).

As a Senior Data Product Business Analyst, you will play a pivotal role in enhancing the data-driven decision-making process within the organization. You will be responsible for driving the development of data products by collaborating with cross-functional teams, defining clear requirements, and executing data strategies that provide actionable insights for both internal and external stakeholders. In this role, your advanced analytics skills will directly contribute to optimizing data products and ensuring their alignment with business objectives. You will work closely with Data Engineering teams to solve complex data model challenges, ensuring high standards of data accuracy and reliability while driving tangible business value.

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