SLSQ227R425
Director, Sales Development Strategy & Execution
We are seeking a highly accomplished and visionary leader to join our dynamic organization as the Director, Sales Development Strategy & Execution. As a key member of the GTM S&O team, the successful candidate will play a critical role in driving demand generation and revenue growth via depth analysis of pipeline, sales development performance and incremental growth programs. This person will partner with the leader of the Sales Development organization to create and execute the strategy for the future of sales development, incorporating agentic ai into critical workflows to boost productivity. This leader will be responsible for establishing and preparing the Sales Development forecast and performance metrics, planning resource allocation and territory planning and scaling best practices. This person will also coordinate Sales Development programs across critical functions, such as marketing, partners and sales to ensure an integrated pipeline motion.
Sales Development Strategy
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Drive AI workflows and agentic integration pipeline strategy to bolster productivity and ensure seamless lead to opportunity processes
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Align with cross-functional teams (e.g. Sales, marketing, partners, pipe analytics) to drive the rhythm of the business – e.g., the tools, cadences & metrics to evaluate on a regular basis to ensure the successful growth of the business
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Own planning for the Sales Development organization, including territories, quotas and comp plan execution
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Collect, analyze, evaluate, and report Sales Development performance data to identify leading indicators and trends and drive productivity improvements
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Identify and scale best practices to drive incremental growth across global sales development businesses
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Develop programmatic initiatives in coordination with other functions (e.g., enablement, sales programs, etc.) to ensure the success of key investment areas
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Lead content development for key reviews (e.g., QBRs)
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Support incorporation of new products into demand generation activities
What We Look For
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Proven track record of success in GTM strategy & ops leadership roles, preferably in the AI or technology industry
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In-depth understanding of GTM S&O functional areas, including annual planning, forecasting, pipeline management
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Strong strategic thinking, business acumen, and the ability to translate market trends into actionable sales strategies
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Exceptional leadership and team-building skills, with a focus on fostering a positive and collaborative work environment; – proven success in attracting, developing and retaining talent - knows how to inspire people and how to build and develop teams
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Customer oriented, building relationships with customers (including internal)
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Excellent communication and interpersonal skills, with the ability to engage with C-level executives and key stakeholders.
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Understanding / experience with a GTM consumption motion a benefit as well
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 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 anticipates 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**$232,600—$319,900 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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关于Databricks

Databricks
Series IDatabricks, 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+
员工数
San Francisco
总部位置
$43B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
2.5
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
4.0
72%
推荐率
优点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good compensation and benefits
缺点
Long hours and heavy workload
Poor work-life balance
High pressure and stress
薪资范围
34个数据点
Mid/L4
Senior/L5
Director
Mid/L4 · GLOBAL MOBILITY OPERATIONS MANAGER
2份报告
$162,000
年薪总额
基本工资
$125,400
股票
-
奖金
-
$162,000
$162,000
面试评价
5条评价
难度
3.0
/ 5
时长
21-35周
体验
正面 0%
中性 80%
负面 20%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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