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Lead Adoption Architect - Agent Bricks

Databricks

Lead Adoption Architect - Agent Bricks

Databricks

United States

·

On-site

·

Full-time

·

1w ago

Compensation

$264,000 - $363,000

Benefits & Perks

Equity

Healthcare

401(k)

Equity

Healthcare

401k

Required Skills

Product strategy

Program management

Leadership

Data analytics

SLSQ426R506

Mission

The Product Adoption Architect drives financial performance and field effectiveness for a Databricks’ product line. They will work closely with PMs teams and GTM teams to lay out the playbook, focus and execution on GTM actions for product priorities. They set the requirements and vision for product plays that can be amplified across the entire Field. Adoption Architects also works with product management to collect signals from the field and establish product-market-fit. They triage product escalations and represent the field perspective on strategic decisions. The adoption architect works with field leaders to create a strategy to hit their product specific targets, and create a community of embedded product leads (EPLs) across the field to drive behavior and accountability at the ground level.

Outcomes

  • Create the strategy and definition of scalable, repeatable Product Programs.

  • Establish global plays (deliverables, resources, tracking, program management) that enable business units to execute plays and drive product line adoption.

  • Partner with BU leaders and EPLs to drive adoption of these programs and achieve meaningful $DBUs. .

  • Credibly partner with the PM to align roadmaps with play objectives and markets.

  • Prioritize customer blockers to maximize field impact of product development.

  • Proposed Metrics:

  • Measure 1: Product Line $DBUs at a company level and BU level.

Competencies & Responsibilities

  • 10+ years of experience in the data analytics space to understand and prioritize product capabilities

  • Proven trusted advisor to technical executives that drive strategic data decisions.

  • Operationally minded and ability to design at a system level

  • Strong execution and ability to drive to outcomes in the face of ambiguity

  • Strong leadership skills - ability to coordinate with various roles across GTM and R&D that contribute toward product line adoption.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated 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. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range**$264,000—$363,000 USDZone 2 Pay Range$264,000—$363,000 USDZone 3 Pay Range$264,000—$363,000 USDZone 4 Pay Range$264,000—$363,000 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.

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About Databricks

Databricks

Databricks

Series I

Databricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.

6,000+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge