Pricing Specialist (Influencer Marketing)

Viral Nation Inc.

About The Position

At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and technology with culturally relevant creativity to scale the world’s fastest-growing digital brands. Viral Nation offers a fluid, creative, and growth-oriented environment that will support your ambitions to apply your talents in an open, collaborative, and fast-paced culture. Our ability to stay at the forefront of the industry has fuelled our success and will guide us in paving the path forward. We’re driven to push boundaries and think beyond today to deliver strategies, and we’re just getting started. While we continuously exceed our goals, we need your help – our success is only as great as our people. Strong performance leads to high expectations, and we must keep raising the bar! This role is designed for a detail-oriented pricing and operations professional who thrives in a fast-paced, high-growth environment. You will support the EVP of Business Operations and partner closely with Finance, Business Development, PMO, Client Services and COE leaders to help manage the end-to-end pricing workflow—coordinating priorities, translating scopes into execution-ready staffing and hours, and ensuring pricing outputs move forward smoothly from initial estimate through final revisions. This role is ideal for someone who enjoys building structure, improving processes, and contributing to high-quality execution—by creating clear assumptions, aligning stakeholders, and producing pricing that is both commercially sound and operationally deliverable—while continuing to grow their pricing and operational skill set.

Requirements

4–7+ years in pricing, deal desk, solutions finance, revenue operations, or commercial operations within an agency/influencer / social/digital services environment.
Demonstrated ability to translate SOW scope into role-based hours and execution workflows (not just “pricing a number”).
Strong financial modelling and scenario-building skills (sensitivity, risk buffers, margin implications).
Familiarity with RFP/RFI response workflows and iterative deal revision cycles.
Strong organization, documentation, and stakeholder management skills; comfortable running a queue and driving deadlines.
High attention to detail with a bias toward clarity (assumptions, inclusions/exclusions, version control).
Comfortable operating in a fast-paced, evolving environment with shifting priorities and incomplete inputs.
Collaborative, proactive, able to challenge scope/pricing inputs when they don’t match delivery reality.
AI tooling fluency (required): demonstrated experience using AI-enabled tools in operational/commercial workflows, with the judgment to validate outputs and improve adoption across teams.
Proven ability to collaborate with technical partners (e.g., solutions engineering) to define requirements, test tools, and embed automation into real business processes.

Nice To Haves

Experience with influencer pricing mechanics (creator fees, usage rights/licensing, exclusivity, platform deliverables) is strongly preferred.
Technical capability to build models/tools is nice to have, but not required—the requirement is strong product thinking, workflow clarity, and practical adoption/QA discipline.

Responsibilities

Pricing Operations Support
Own and manage the day-to-day pricing queue: intake, triage, prioritization, and assignment across stakeholders (Ops, Finance, BD, COEs).
Coordinate pricing timelines and stakeholder inputs to hit proposal and client deadlines without sacrificing accuracy.
Document and continuously improve pricing workflows (intake requirements, versioning, approval steps, handoffs) to reduce bottlenecks and rework.
Maintain SOPs, templates, and a shared assumptions library (what’s included, what’s excluded, what changes pricing).
Scoping and Deal Support (New Business + Growth + Renewals)
Support proposals including RFPs/RFIs by building pricing models, pricing narratives, and scoped assumptions that are consistent and defensible.
Produce initial pricing estimates quickly using range-based approaches when inputs are uncertain, then tighten as scope clarity increases.
Translate client requirements into structured scope documentation (deliverables, volumes, timelines, platforms, usage/rights, dependencies).
Package deal materials for clean internal handoff: pricing model, assumptions, staffing/hours breakdown, scope boundaries, and risk flags.
Scope-to-Workflow Translation (Execution Readiness)
Convert scopes into execution-ready staffing plans by mapping deliverables into role-based hours aligned to delivery workflows.
Ensure pricing reflects actual operational effort: project management, creator sourcing, negotiations, review cycles, reporting, paid amplification support, etc.
Align workback schedules and resourcing assumptions with PMO/Delivery ensuring what was sold can be delivered on.
Identify scope gaps early (missing deliverables, unclear approvals, unrealistic timelines) and drive clarification before pricing is finalized.
Track and identify changes to original scopes, ensuring alignment across all areas of the organization.
Pricing Strategy, Governance, and Margin Protection
Apply standardized pricing methodology (rate cards, cost drivers, margin targets, risk buffers) while tailoring to deal context.
Lead pricing revision cycles across stakeholder feedback; clearly document what changed, why, and the impact to budget, margin, and delivery.
Enforce pricing governance: discounting rules, exception thresholds, approval routing, and required justification.
Build scenario options (“good/better/best” or tiered packages) to support negotiation and decision-making.
Change-of-Scope and Budget Optimization (Pre-Kickoff + In-Flight)
Support scope changes before kickoff and during active SOWs by quantifying impact to hours, costs, and outputs.
Provide “maximize outputs with remaining budget” recommendations: tradeoffs, phased approaches, and revised staffing/workflow assumptions.
Maintain change-order triggers and risk logs so teams have clean documentation for client conversations and contract alignment.
Partner with delivery and client teams to ensure scope changes are captured, priced, and communicated consistently.
Influencer & Social Pricing Enablement (Domain-Specific)
Build influencer/social pricing structures that account for creator tiers, deliverable types, platform mix, usage rights, exclusivity, and timelines.
Maintain and evolve cost bands/benchmarks for creator fees and executional effort to reduce ad hoc pricing.
Collaborate with COEs to validate complexity drivers (creative/production, platform requirements, measurement/reporting) and reflect them in pricing.
Data, Reporting, and Process Improvement
Track pricing KPIs (turnaround time, revision counts, win/loss drivers tied to price, margin performance, variance post-launch).
Support post-deal / post-launch reviews to compare scoped vs actual effort and feed learnings back into pricing models.
Maintain knowledge repositories (templates, prior deal examples, benchmarks, reusable scope language).
Identify recurring pricing friction and implement process fixes (better intake, clearer assumptions, improved estimation logic).
Cross-Functional Collaboration
Work closely with EVP Operations, Finance, Business Development, PMO, Client Services, and COE leaders to align scope, staffing, and commercial approach.
Participate in deal reviews, pipeline/prioritization meetings, and pricing working sessions; provide clear status updates and next steps.
Act as a “single source of truth” on what is priced, what is assumed, what changed, and what delivery is committing to.
Learning, AI Enablement & Tooling (Non-Negotiable)
Actively adopt and operationalize AI tooling across the pricing lifecycle (intake → scoping → modeling → revisions → handoff → change-of-scope).
Partner closely with a Solutions Engineer responsible for building pricing AI tools and managing AI pipelines—provide workflow requirements, define inputs/outputs, validate logic, and QA results.
Help translate pricing and scoping logic into structured data requirements (what fields must be captured, how assumptions are stored, how revisions are tracked).
Use AI-assisted outputs responsibly: validate assumptions, catch edge cases, and ensure pricing remains commercially sound and delivery-feasible.
Drive continuous improvement by identifying where automation will reduce cycle time, reduce variance, and improve consistency (e.g., pricing diffs, scope-to-hours mapping, governance checks).