Program Manager, Professional Services

Posted:
8/1/2024, 4:44:59 AM

Location(s):
Heredia Province, Costa Rica

Experience Level(s):
Mid Level ⋅ Senior

Field(s):
Product ⋅ Sales & Account Management

Pay:
$184/hr or $382,720 total comp

CSQ125R108

Databricks is looking for a driven Program Manager as part of our high-impact, high-performing Go-to-Market (GTM) function within the Professional Services team. This person will be responsible for owning, developing and curating a catalog of offerings including services and programs within the Professional Services & Training (PS&T) function to increase attach rates of services, scale our selling, delivery and operations motion through impactful and structured offerings. This person plays a critical role in shaping our PS strategy in our GTM function by driving a world-class services catalog in close collaboration with the Sales GTM team, PS Engagement Managers, our technical delivery team, Commercialization, IT, legal, Finance and others to streamline the entire PS&T selling and delivery processes. 

The ideal candidate has a knack for working with data and has a highly analytical mind making informed strategies and decisions based on relevant analysis and modeling around market demands, previous sales data, field surveys and inputs.  Relevant areas would be optimal pricing, program/SKU analysis and KPIs around attach rates and other metrics to confirm effectiveness of different service types and offerings. This person is not afraid to get his/her hands dirty when it comes to data and analysis to ensure that how we develop and manage service offerings and its catalog is based on data. This person also enjoys working with a broader cross-functional team in a high-impact, dynamic environment.      

What you will be doing:

  • Working with the Professional Services GTM Leadership by defining, tracking, and developing Services Catalog and Offerings to drive ProServ and education attach rates.   
  • Work with PS leaders and Ops, Pricing, Sales, Finance, Legal and Sales Ops team to facilitate alignment on key aspects of Service Offerings such as pricing, tiering, billing type (one time purchase, subscription, prepaid, in arrears etc.), cost and margin, legal language among others to culminate in SKU creation.  
  • Drive Services Offerings content development around datasheet, positioning deck, Statement of Work (SOW), checklist, WBS (work breakdown structure), resourcing model and delivery playbook. For collaterals such as delivery playbooks which are technical in nature, form a working group with SMEs as needed to facilitate content development.     
  • Schedule and conduct ongoing field training on Service Catalog and Offerings leveraging various mediums; presentations, QBRs, Flight School, self-paced recorded learning modules etc.  
  • Collect / consolidate field feedback by performing periodic user surveys and make relevant ongoing updates to the Services Catalog based on user data.  
  • Perform broad assessment of the current offering structure, packaging and pricing to determine what works, what needs improvement. Using the findings as input, create a project plan for ongoing services catalog improvement  and implement / execute the plan against timelines set for each milestone. 

Requirements:

  • 3+ years of experience being part of a team driving data strategy, architecture and implementation delivery. 
  • 1-2 years of technical consulting experience building and delivering data products, data assets and pipelines.  
  • Effective, clear, and concise communication skills, verbal and written. Propensity to synthesize complex concepts and data and present clear information to executives, cross-functional teams, and internal customers
  • Data expert: Querying and scoping (SQL, Databricks, BigQuery), analysis (Excel), summarizing (pivot tables, charts, slides, written explanation), reporting (dashboards, repositories)       
  • Exceptional interpersonal and influence skills. Experience driving cross-functional projects end-to-end. Ability to negotiate priorities across organizations at all levels
  • Exposure to services solutions / offerings / programs / services engineering. 

Benefits:

  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Annual personal development fund
  • Employee Assistance Program (EAP)

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.

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.

Databricks

Website: https://databricks.com/

Headquarter Location: San Francisco, California, United States

Employee Count: 5001-10000

Year Founded: 2013

IPO Status: Private

Last Funding Type: Series I

Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Information Technology ⋅ Machine Learning