GTM App Engineering Manager - GTM Strategy and Operations

Posted 21 Hours Ago
Be an Early Applicant
Hiring Remotely in California
Remote
122K-216K Annually
Mid level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
The Strategy & Execution Manager will develop data-driven applications and machine learning models using Databricks to support GTM teams. Responsibilities include building analytics tools, predictive models, and reporting pipelines while collaborating with stakeholders and managing projects.
Summary Generated by Built In

SLSQ126R295

Reporting to the Director of GTM Analytics & Data Quality, the Manager of GTM App Engineering will develop data-driven applications, machine learning models, and scalable solutions to support GTM teams. Leveraging the Databricks platform, responsibilities include building analytics tools, predictive models, reporting pipelines, and delivering insights to drive business outcomes.

This role requires technical expertise, project management skills, and the ability to collaborate with GTM stakeholders and analytics teams. Proficiency in systems like Salesforce, HG Insights, and ZoomInfo, and a strong understanding of the Databricks ecosystem, are essential to ensure seamless data integration and impactful solutions.

The impact you will have: 

  • Build: You will develop analytic solutions including apps, alerting systems, dashboards, tables, analyses, and models that will be used by thousands of employees in the field (technical and non-technical sales) as well as leaders across the globe
  • Project Manage: You will both manage the requirements gathering and lead execution of strategic analytic projects
  • Relationships: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team
  • Use Databricks: You will work everyday with a variety of data using Databricks’ Data Intelligence Platform

What we look for:

  • You have 4+ years of experience working as a Data Scientist / Data Engineer with B2B sales, marketing, or finance data.
  • You are technical and fluent in data. You have intermediate to advanced knowledge of different visualization tools (Streamlit, Gradio, Databricks AI/BI), Python and SQL. You have experience with Salesforce and experience with Databricks (or equivalent technologies).
  • You have a passion and eye for data, visualization, and UX. You enjoy building dashboards and analyses in order to derive actionable insights from data. Although we focus first on accuracy and integrity of the data, you enjoy going further because you care about the user experience and eventual impact of the tools you build.
  • You thrive in partnership with the business. You understand how the business works and how your work impacts the wider GTM team. You seek to understand the “why” behind the requests that you receive and create innovative solutions for business problems.
  • You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors. You work through dependencies, bottlenecks, and tradeoffs with ease. You have a service-oriented mindset. You are curious, creative, and kind.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.


Zone 1 Pay Range

$122,100$216,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Top Skills

Python
SQL
The Company
New York, NY
2,200 Employees
On-site Workplace
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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