Growth Marketing Strategy & Planning Manager

USA - Austin (dbt) · USA - Denver · Hybrid · Posted Oct 6, 2026

At a glance

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.

The Growth Marketing Strategy and Planning Manager sits at the intersection of B2B marketing strategy and performance analytics, acting as the right hand to the VP of Growth.
This high-visibility role involves deciding resource allocation, setting marketing-level targets in partnership with Finance, and maximizing revenue yield from demand.
The position supports both the sales-led business and product-led growth (PLG) motion while driving data-driven insights and decision-making across digital and technical marketing channels.

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, calculating and reporting 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.
Support the weekly and monthly business review process by preparing data and partnering 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.
Own the Growth pipeline model, aligning sourced and influenced contribution across partner, sales, BDR, and marketing.
Own capacity and headcount planning for the Growth marketing organization, tying resourcing to targets and coverage requirements.

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, with comfort 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 including 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).

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 such as 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.

100% employer-paid medical insurance
Generous paid time away from work including paid vacation or flexible/unlimited vacation depending on role and country
Paid sick time
Inclusive parental leave
Paid holidays, including a year-end Global Week of Rest
Volunteer days off
RSU stock grants
Professional development and training opportunities
Monthly cell phone stipend
Access to an innovative mental health support platform offering personalized care and resources

Hybrid work model offering a blend of remote flexibility and in-person collaboration.
Expected in-office presence of one to two days each week.

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