Fivetran

Operations

• Support pricing operations changes through business requirement review, data validation, configuration checks, and documentation
• Validate pricing-related quote-to-cash changes across quoting, approvals, discounting logic, product configuration, and downstream order execution
• Confirm pricing changes are operationally ready before launch, including impacts to Sales, Deal Desk, Order Operations, Billing, Revenue, and marketplace workflows
• Prioritize pricing-related test cases, identify gaps in business requirements, and document expected system behavior
• Maintain documentation for pricing- and order-related system configurations, dependencies, and release-readiness criteria
• Participate as a Pricing and Order Operations subject-matter expert in user acceptance testing
• Execute assigned test cases and collaborate with go-to-market subject-matter experts
• Develop and maintain test cases for quoting, approvals, signature packets, bookings, marketplace offers, billing, and order management
• Document test results and defects with traceability from business requirement to test outcome
• Provide domain-specific readiness input through the UAT sign-off process
• Maintain the Pricing and Order Operations regression test suite
• Validate order operations across signature packet generation, e-signature routing, booking rules, marketplace offer configuration, and booking-to-order management handoffs
• Partner with IT’s business systems team and the Proposal-to-Order Lead to align order operations rules with pricing, quoting, billing, and revenue systems
• Ensure signature packets and marketplace offers accurately reflect order and pricing terms
• Identify and troubleshoot order operations issues, escalating systemic problems to the appropriate system owner
• Report to the Order Operations & Monetization lead; workload prioritization is owned by that lead

Pricing & Order Operations Analyst

Product Marketing

• Own end-to-end analysis for an assigned GTM domain such as Sales, Strategy, RevOps, Marketing, or Deal Desk
• Translate ambiguous business questions into a clear analytical plan
• Pull, transform, and visualize data using SQL, dbt, and Looker/Omni/Sigma
• Recommend data-driven insights and next steps
• Partner directly with revenue stakeholders on recurring and ad hoc data questions
• Investigate root causes behind metric shifts
• Maintain and troubleshoot existing dashboards and reports
• Document analytical logic and definitions
• Mentor Level 2 analysts on query writing and analytical approach
• Use Claude and other AI tools to accelerate query development and analysis
• Define dashboard logic and requirements for the central data team when appropriate

Senior Analyst, GTM Analytics

• Translate ambiguous, often verbal requests from senior stakeholders into a scoped analytical plan in real time
• Build and maintain complex models combining statistical and financial methods, including pipeline coverage, quota simulation, and forecast accuracy
• Deliver fast, directionally-correct analysis under time pressure, then refine it to full rigor when warranted
• Represent the team's analytical judgment in meetings with VP+ stakeholders without requiring the manager's involvement
• Reframe stakeholder questions when the request does not match the underlying business problem
• Review and unblock analytical work from Level 2 and Level 3 team members
• Triage incoming requests and route them appropriately across the team
• Own end-to-end delivery of strategic, cross-functional analyses, such as account matching strategy and end-of-quarter deal pattern analysis
• Apply statistical methods including regression, confidence intervals, and cohort analysis
• Collaborate with Finance analysts to keep GTM models consistent with Finance's revenue and forecasting definitions
• Shape dashboard requirements and propose logic for the central data team to build when dashboards are needed

Principal Analyst, GTM Analytics

Total Rewards

• Build and maintain complex models for salary bands, market pricing, geographic differentials, and merit/promotion budget allocation
• Use enterprise AI platforms such as Claude and ChatGPT to analyze workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate data transformation workflows
• Model executive total compensation, short-term incentive performance metrics, and long-term incentive grant strategies
• Design and model global equity frameworks, including refresh plans, grant guidelines, vesting schedules, and budget allocations
• Establish workflows for equity grant approvals, board consent materials, vest schedules, and reconciliation between equity systems and the HRIS
• Use Carta and internal analytics tools to model wealth creation scenarios and executive equity usage
• Co-design, test, administer, and execute Workday Compensation and Advanced Compensation workflows, eligibility rules, and global merit cycle rollouts
• Ensure data flows between Workday, payroll systems, survey platforms, and analytical databases
• Design, build, and audit Workday custom reports, matrix reports, and calculated fields
• Use BigQuery to query, analyze, and transform large-scale datasets
• Drive adoption of total rewards initiatives, merit updates, pay transparency changes, and compensation program rollouts
• Develop manager guidebooks, FAQ documents, slide decks, and video walkthroughs
• Design and facilitate training for managers, Talent Acquisition, HR Business Partners, and employees

Total Rewards Manager

Vice President

• Manage and coach a team of enterprise account executives selling into Pacific Northwest and Bay Area accounts
• Drive pipeline generation, forecast rigor, and deal progression
• Own territory planning and account segmentation across new-logo and expansion motions
• Partner with solutions architecture, customer success, and professional services for full-funnel execution
• Represent the territory in weekly forecast and pipeline reviews with the AVP
• Recruit, hire, and ramp new account executives as the team scales
• Build and reinforce sales methodology, including discovery, MEDDIC-style qualification, and competitive positioning
• Participate directly in strategic deals, escalations, and executive relationships
• Develop enterprise sellers into consistent, disciplined performers

Regional Vice President

Manager

• Own the entire global relationship with Databricks and serve as the main point of contact
• Orchestrate across sales, partner solution architecture, marketing, and partner operations
• Establish trusted relationships with US field sales and pre-sales representatives, as well as product and marketing stakeholders
• Connect Fivetran Partner Sales Managers with partner sales teams to support solution selling and customer experience
• Work with Marketing and Product teams to establish and execute strategic partner go-to-market programs
• Grow mutual customer adoption, pipeline development, and revenue across Fivetran and Databricks
• Accelerate partner development through programs and joint go-to-market efforts that generate referrals and new business opportunities

Global Technology Alliance Manager

• Own the entire global relationship with Databricks and serve as the main partner contact
• Orchestrate across sales, partner solution architecture, marketing, and partner operations
• Establish trusted relationships with US field sales and pre-sales representatives, product stakeholders, and marketing stakeholders within the first 90 days
• Connect Fivetran Partner Sales Managers with Databricks partner sales teams to support solution selling and customer experience
• Work with Marketing and Product teams to establish and execute strategic partner go-to-market efforts
• Grow mutual customer adoption, pipeline development, and revenue across Fivetran and Databricks