Job Summary:

Would you like to be part of building the data pipeline for the entire organization? Help source, organize and provide accessibility to numerous engineering teams, business stakeholders and external partners? GLG is building a next generation platform to transform the existing way we deal with data across the organization.

As a data engineer you will:

• Cleanse, normalize and enhance quality for both the existing operational systems as well as new data sources that flow through the data platform.
• Build, monitor, and maintain ETL/ELT pipelines using Python, SQL and Airflow.
• Design and optimize tables, datasets, and transformations in Snowflake.
• Develop and support data ingestion workflows, including API integrations, file ingestion, and database connectors.
• Ensure data quality, reliability, and performance across pipelines.
• Work in an Agile environment and collaborate with engineering, analytics, and product teams.
• Use integration tools (e.g., Fivetran, Workato, etc.) to onboard new data sources.

You will have:

• 5-8 years of experience as a Data Engineer.
• Strong hands-on experience with Snowflake, Python, SQL, and Airflow.
• Experience building data ingestion pipelines across APIs, files, and databases.
• Strong SQL, Data Modeling skills, plus a solid understanding of ETL/ELT concepts.
• Experience working in Agile teams (Scrum, sprint planning, etc.).
• Experience with data integration tools is preferred.
• Knowledge of data engineering best practices across the development lifecycle, including coding standards, code reviews, source management, build processes, testing, and operations.

Job Summary:

Would you like to be part of building the data pipeline for the entire organization? Help source, organize and provide accessibility to numerous engineering teams, business stakeholders and external partners? GLG is building a next generation platform to transform the existing way we deal with data across the organization.

As a data engineer you will:

• Cleanse, normalize and enhance quality for both the existing operational systems as well as new data sources that flow through the data platform.
• Build, monitor, and maintain ETL/ELT pipelines using Python, SQL and Airflow.
• Design and optimize tables, datasets, and transformations in Snowflake.
• Develop and support data ingestion workflows, including API integrations, file ingestion, and database connectors.
• Ensure data quality, reliability, and performance across pipelines.
• Work in an Agile environment and collaborate with engineering, analytics, and product teams.
• Use integration tools (e.g., Fivetran, Workato, Informatica, etc.) to onboard new data sources.

You will have:

• 1–3 years of experience as a Data Engineer.
• Strong hands-on experience with Snowflake, Python, SQL, and Airflow.
• Experience building data ingestion pipelines across APIs, files, and databases.
• Strong SQL, Data Modeling skills, plus a solid understanding of ETL/ELT concepts.
• Experience working in Agile teams (Scrum, sprint planning, etc.).
• Experience with data integration tools is preferred.
• Knowledge of data engineering best practices across the development lifecycle, including coding standards, code reviews, source management, build processes, testing, and operations.

GLG is seeking a tenacious, results-oriented Account Manager to join our Healthcare/Life Sciences team. In this pivotal client-facing role, you will support pharmaceutical, medical device, and diagnostic clients, playing a vital part in GLG’s relationships with leading global corporations. 

You will be responsible for maintaining and expanding an existing book of business, identifying new stakeholders within named accounts, and selling GLG’s full suite of insight products. This is an opportunity to work in a collaborative, fast-paced environment where you can drive commercial success and grow professionally. 

Specific Responsibilities Include: 

• Account Growth: Maintain and expand an existing book of business; identify, develop, and capture new business opportunities within current logos. 

• Strategic Outreach: Identify target prospects in priority BUs and drive outreach strategies to develop the sales pipeline. 

• Account Mapping: Build and update comprehensive account maps detailing key departments and stakeholders. 

GLG is seeking a tenacious, results-oriented Account Manager to join our Healthcare/Life Sciences team. In this pivotal client-facing role, you will support pharmaceutical, medical device, and diagnostic clients, playing a vital part in GLG’s relationships with leading global corporations. 

You will be responsible for maintaining and expanding an existing book of business, identifying new stakeholders within named accounts, and selling GLG’s full suite of insight products. This is an opportunity to work in a collaborative, fast-paced environment where you can drive commercial success and grow professionally. 

Specific Responsibilities Include: 

• Account Growth: Maintain and expand an existing book of business; identify, develop, and capture new business opportunities within current logos. 

• Strategic Outreach: Identify target prospects in priority BUs and drive outreach strategies to develop the sales pipeline. 

• Account Mapping: Build and update comprehensive account maps detailing key departments and stakeholders. 

This is the technical lead on go-to-market for AI Solutions, GLG's new human-data business. You build the researcher relationships, own every technical conversation, and design work we can deliver.

The role

AI Solutions puts GLG's expert network to work on AI training data and expert evaluations for frontier labs. Our aim is to lead the top of the market: high-stakes professional domains.

You are the GM's partner in the market and share one revenue target. The GM runs the commercial side of each deal. You run the technical side: the relationship with the researcher, the quality and measurement discussion, and the design of the program. You are also a hunter, building pipeline through the research community.

What you'll own

• Researcher relationships. Build direct relationships with researchers, post-training teams and eval leads before there is an RFP. Bring back what labs are buying and where current vendors fall short.
• Source opportunities through those relationships and in the field: events, conferences and dinners where researchers spend time.
• Technical discovery. Find which capability a lab is trying to improve. Use GLG experts to surface where a model fails in a domain and turn that finding into a pilot.
• Program design. Define the task, rubric, output format and difficulty target so the work measures what the lab cares about.
• Panel design. Decide with the Strategic Project Lead who qualifies for the expert panel and how it is calibrated. You own it together and sign off with each other.
• Quality methodology. Own the QA conversation and the math behind it: gold sets, agreement metrics, sampling and acceptance thresholds. Go head-to-head with researchers on it.
• Pilot to program. Set the success criteria for each pilot and help convert it into a production contract.
• Write the technical sections of bids and build reusable materials so every sale is easier than the last.
• Credibility strategy. Decide with the GM and Delivery which benchmarks, evals and other proof GLG needs to win its domains.

This is the technical lead on go-to-market for AI Solutions, GLG's new human-data business. You build the researcher relationships, own every technical conversation, and design work we can deliver.

The role

AI Solutions puts GLG's expert network to work on AI training data and expert evaluations for frontier labs. Our aim is to lead the top of the market: high-stakes professional domains.

You are the GM's partner in the market and share one revenue target. The GM runs the commercial side of each deal. You run the technical side: the relationship with the researcher, the quality and measurement discussion, and the design of the program. You are also a hunter, building pipeline through the research community.

What you'll own

• Researcher relationships. Build direct relationships with researchers, post-training teams and eval leads before there is an RFP. Bring back what labs are buying and where current vendors fall short.
• Source opportunities through those relationships and in the field: events, conferences and dinners where researchers spend time.
• Technical discovery. Find which capability a lab is trying to improve. Use GLG experts to surface where a model fails in a domain and turn that finding into a pilot.
• Program design. Define the task, rubric, output format and difficulty target so the work measures what the lab cares about.
• Panel design. Decide with the Strategic Project Lead who qualifies for the expert panel and how it is calibrated. You own it together and sign off with each other.
• Quality methodology. Own the QA conversation and the math behind it: gold sets, agreement metrics, sampling and acceptance thresholds. Go head-to-head with researchers on it.
• Pilot to program. Set the success criteria for each pilot and help convert it into a production contract.
• Write the technical sections of bids and build reusable materials so every sale is easier than the last.
• Credibility strategy. Decide with the GM and Delivery which benchmarks, evals and other proof GLG needs to win its domains.