← All jobs · Databricks

Director, Field Engineering

Databricks ·
36
AI-Agency
B25 U55
📍 Toronto, CA 💰 $161K–$222K Director 5+ yrs
DatabricksApache SparkDelta LakeMLflow
TL;DR

Director of Field Engineering at Databricks leading pre-sales Solutions Architects teams across Canada. Responsible for hiring, team development, and driving complex enterprise sales cycles in data and AI software.

Apply at Databricks →
share:
you'll be redirected to the company's career page

Job description

Req ID - FEQ227R94

Location: Toronto, ON

While candidates in the listed location(s) are encouraged for this role, candidates in other locations in Ontario also will be considered.

We are looking for a Director, Field Engineering in Canada to join our world-class hyper-growth organisation. In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in Canada across the financial services, manufacturing, energy, public sector, healthcare and life sciences, retail and consumer goods, communications, media and entertainment business.

Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be an expert at communicating complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations. This role will report to the Technical GM - Canada.

The impact you will have

What we look for




 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected 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 anticpates utilizing 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. 

 

Canada Pay Range
$221,200$304,150 CAD

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 TwitterLinkedIn 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 click here.

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.

Apply at Databricks →

More open roles at Databricks

Databricks 🔷 AI-first · 🔄 synced 1h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Singapore, SG 🛠 AI tools welcome at work · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning for enterprise customers. Role involves customer engagement, technical advisory, and cross-functional collaboration with product and engineering teams.
PyTorchHuggingFaceLangChainDSPypandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 1h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 US 🌐 Remote-only 💰 $180K–$248K 🛠 AI tools welcome at work · Senior
AI Engineer (Forward Deployed) at Databricks building and productionizing GenAI applications for customers. Focus on RAG, multi-agent systems, fine-tuning, and production ML deployments on cloud platforms.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 1h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Sydney, AU 🌐 Remote-only · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 1h ago
AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector
📍 US 🌐 Remote 💰 $180K–$248K 🛠 AI tools welcome at work · Senior
AI Forward Deployed Engineer at Databricks building GenAI solutions for U.S. federal government customers. Develop production-grade RAG, multi-agent systems, and LLM applications; serve as technical advisor and thought leader.
HuggingFaceLangChainDSPyPyTorchscikit-learnpandas
82
AI-core
Databricks 🔷 AI-first · 🔄 synced 1h ago
AI Engineer - FDE (Forward Deployed Engineer)
📍 Melbourne, AU 🌐 Remote-only · Mid
AI Engineer at Databricks building production GenAI applications including RAG, multi-agent systems, and fine-tuning. Role involves customer engagements, production rollouts, and cross-functional collaboration with product and engineering teams.
HuggingFaceLangChainDSPyPyTorchpandasscikit-learn
80
AI-core