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Jobs / Customer Service Manager in Canada
7 months ago
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Databricks·SaaS·7 months ago
7 months ago

Director, Field Engineering

Toronto, CanadaSenior · 5+ yearsCustomer Service Manager

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Apply faster with autofill FREEDatabricks uses Greenhouse - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

About this role

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

  • Hire and manage first line Managers and a growing team of technical pre-sales Solutions Architects
  • Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture
  • Support increased return on investment of Solutions Architect involvement in sales cycles
  • Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends, reporting on the forces that shift the strategic direction of accounts
  • Promote a solution and value-based selling field-engineering organisation
  • Display an understanding of business needs and revenue potential for accounts in the assigned region
  • Build Databricks' brand in Canada in partnership with the Marketing and Sales team

What we look for

  • 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals
  • Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the Canadian region
  • Ability to elevate the engagement with a track record of driving large transactions and high growth customers 
  • Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach 
  • Proven track record of transformational success and delivery of customer value
  • Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing)
  • Experience in complex strategic accounts generating +$5M ARR
  • Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
  • Great at instituting processes for technical field members to improve efficiency
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience




 

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
$325,000—$395,000 CAD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

SaaS

Company

DatabricksSaaS
Toronto, Canada

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Databricks's careers site·first seen 26 May 2026·last verified 22 Sept 2026·How we source jobs

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