Type of contract for this position: Permanent contract
The position
Job description
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
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
Preferred experience
Experience with multi-touch attribution platforms (Bizible/Marketo)
Python or R proficiency for statistical analysis, automation, or building lightweight models
Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor
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
Exposure to experiment design, significance testing, or applied statistics in a marketing context
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
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
Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders, including a VP
Background in data infrastructure, developer tools, or analytics software industries
Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker)
Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences
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