Growth Marketing Strategy & Planning Manager

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

The Growth Marketing Strategy and Planning Manager sits at the intersection of B2B marketing strategy and performance analytics. You sit within GTM Strategy & Planning and act as the right hand to the VP of Growth - helping the team decide where to spend their next dollar, setting marketing-level targets in partnership with Finance, and making recommendations of how to maximize the revenue yield from demand.

The marketing team you’ll be supporting owns the digital/technical marketing channels that are heavily reliant on data-driven decisions and insights. The team’s outcomes support both the sales-led business and our PLG motion, and we make decisions around lead routing between the two businesses so that we maximize revenue yield.

This is a high visibility role with direct exposure to marketing leadership. We're looking for someone who brings structure to ambiguity, has the business judgment to challenge assumptions, and can move fast without sacrificing rigor. You translate performance data into investment decisions and defend those decisions to senior stakeholders.

This is a full-time position based out of our Oakland, Denver, Austin, or New York City offices. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including one to two days in the office each week to connect and build as a team.

What You’ll Do

• Target Setting and Impact Measurement
  • Own annual and quarterly target setting for the Growth marketing organization, including channel-level targets and budget allocation driven by a documented planning model
  • Support annual budgeting and in-quarter re-planning with recommendations on investment levels and channel mix
  • Own marketing ROI analysis: calculate and report on cost-per-lead, cost-per-opportunity, CAC by channel, and marketing efficiency ratios
  • Develop segment and region level views of marketing performance to support resource allocation decisions
  • Design and maintain models to quantify the impact of marketing programs across the buyer journey
  • Conduct ad hoc deep dives to diagnose pipeline trends, marketing channel performance, or funnel conversion issues and proactively surface recommendations
• Executive reporting & Cross-functional Alignment
  • Support the weekly and monthly business review process: prepare data and partner with leadership to build a narrative that converts data into actionable insights
  • Drive alignment on ICP across product marketing, product, sales, and marketing so targeting, messaging, and investment point at the same accounts
  • Scope dashboard needs and partner with the Analytics team to build them out
• Commercial Pipeline model
  • Own the Growth pipeline model, aligning sourced and influenced contribution across partner, sales, BDR, and marketing
  • Work with Field Ops for Commercial and the BDR org to ensure marketing's pipeline contribution supports the coverage needed to hit the business target
  • Maintain the coverage, conversion, and velocity assumptions the model runs on, and reconcile them with Field Ops and Finance
• Experimentation and Optimization
  • Analyze marketing experiments (landing pages, email sequences, ad creative, offers) to drive continuous improvement
  • Partner with our Head of PLG Revenue to identify friction in the self serve funnel and recommend interventions
  • Design experiments that help optimize the marketing spend and pipeline ROI
• Capacity & headcount planning
  • Own capacity and headcount planning for the Growth marketing organization, tying resourcing to targets and coverage requirements
  • Model the trade-offs between headcount, program spend, and pipeline output to inform investment and org decisions

Skills We’re Looking For

• 4 to 7 years of experience in marketing analytics, GTM/marketing strategy, revenue operations analytics, FP&A or business intelligence within a B2B SaaS environment
• Strong planning and financial-modeling skills: comfortable building target, budget, and pipeline-coverage models from ambiguous inputs
• Ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations
• Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders, including a VP
• Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor
• Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts
• Comfortable with SQL, Excel/google sheets and BI/visualization tools like Looker to move quickly through data
• Working knowledge of Salesforce (reports, dashboards, opportunity data), marketing automation platforms (Marketo preferred), and ad platforms (Demandbase, Google Ads, LinkedIn Ads, chatgpt Ads, etc)

Bonus Skills​

• Python or R proficiency for statistical analysis, automation, or building lightweight models
• Experience with multi-touch attribution platforms (Bizible/Marketo)
• Exposure to experiment design, significance testing, or applied statistics in a marketing context
• Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences
• Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker)
• Background in data infrastructure, developer tools, or analytics software industries

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