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Darktrace

Self-learning AI cybersecurity with autonomous responses

Vice President – Pricing & Packaging

Product MarketingConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 8 years of expertise across SaaS monetization models, including subscription, usage/consumption-based, tiered, seat-based, and hybrid models, and implementing product-led growth.
  • At least 3 years leading pricing strategy, with strong command of pricing analytics, price elasticity, willingness-to-pay research, and value-based pricing.
  • Experience with configure, price, quote (CPQ) systems, billing systems, and entitlement management.
  • Strong quantitative, analytical, and financial modeling capabilities.
  • Cybersecurity industry experience.
  • A proven track record of building cross-functional relationships and prioritizing collective outcomes over individual outcomes.
  • Demonstrated bias for action in ambiguous, fast-moving environments.
  • A history of setting and elevating standards of excellence, holding self and others to high expectations, and continuously improving processes, quality, and outcomes.
  • End-to-end accountability for outcomes, sound judgment in decision-making, and follow-through on commitments.
  • A proven track record owning pricing and packaging strategy in a B2B SaaS environment at scale.
  • Strong understanding of direct and channel-partner pricing and operations, including their similarities, differences, and trade-offs.
  • Demonstrated success leading through influence and driving outcomes via cross-functional partners rather than a large direct team.
  • Experience establishing and chairing steering groups or governance forums.
  • A strong track record of competitive intelligence, including tracking and responding to competitor pricing and packaging strategy.
  • Strong governance and facilitation skills, including steering-group leadership.
  • Data-driven decision-making and analytical rigor.
  • Ability to apply artificial intelligence to accelerate and scale impact across the key competencies.

Responsibilities

  • Define and own the company’s overarching pricing philosophy, strategy, and roadmap across all products and segments.
  • Design and evolve tiered, consumption-based, outcome-based, and hybrid pricing models aligned to value delivered and customer willingness to pay.
  • Establish pricing governance, approval frameworks, and discounting guardrails to protect margin and deal integrity.
  • Partner with the Chief Accounting Officer and Deal Desk function to ensure discounting guardrails are consistently enforced during deal execution.
  • Account for the similarities and differences between direct and channel-partner pricing and operations, and design strategies that work across both routes to market.
  • Ensure pricing, packaging, and discounting structures are coherent and appropriately margin-protective across direct sales and channel/partner motions.
  • Implement models for hyperscalers and marketplaces to promote and optimize online sales through sales operational models.
  • Architect product packaging, bundling, and tiering strategies that maximize adoption, expansion, and net revenue retention.
  • Partner with the Chief Product Officer and Product organization to align feature-to-tier mapping, entitlements, and add-on and upsell structures with the monetization strategy.
  • Lead monetization strategy for new product launches, features, and market entries after core pricing/packaging governance and margin-tracking discipline are established.
  • Maintain awareness of relevant market and competitive dynamics to inform packaging and positioning.
  • Own SKU and price-list creation, setting policy and controls for use, distribution, and management.
  • Introduce and build product-led growth strategies.
  • During the first two quarters, lead completion and margin validation of the legacy-SKU-to-package migration, including grandfathering policy and renewal-cycle price bridging.
  • Establish, chair, and run a cross-functional Pricing Steering Group spanning Product, Sales, Finance, Marketing, and Customer Success.
  • Set the steering group’s charter, cadence, and decision rights, and bring pricing and packaging proposals forward with a clear evidence base for endorsement.
  • Drive alignment, resolve trade-offs, and secure buy-in for pricing and packaging changes across the leadership team.
  • Maintain a transparent decision log and ensure decisions are operationalized and their impact tracked.
  • Partner with the FP&A business partner on revenue modeling, margin analysis, price elasticity, willingness-to-pay quantification, and the financial impact of pricing decisions and forecasts.
  • Partner with the IT business partner to operationalize pricing and packaging across billing, CPQ/quoting, Salesforce, entitlements, metering, and systems infrastructure.
  • Partner with the Product Marketing business partner on competitive intelligence, value messaging, and packaging communication.
  • Partner with Engineering to understand the impact of cost of goods sold on margins and factor infrastructure and delivery costs into pricing decisions.
  • Partner with the Chief Revenue Officer and team to inform quotas and ensure pricing and packaging decisions align with sales targets, incentives, and quota-setting.
  • Set shared objectives and ways of working with each business partner so strategy translates into reliable execution.
  • Build a rigorous discipline around willingness-to-pay research, price elasticity analysis, and value-based pricing in partnership with FP&A.
  • Define pricing key performance indicators and dashboards, including average revenue per user, annual contract value, win rates, discount leakage, expansion revenue, and net revenue retention impact.
  • Ground major pricing decisions in data, research, and market evidence.

Desired Qualifications

  • Experience partnering closely with FP&A, IT/systems, and Product Marketing functions to operationalize pricing.
  • Familiarity with usage-based or consumption pricing and metering infrastructure.
  • Experience in a high-growth or private-equity- or venture-capital-backed environment.

About the Company

Darktrace

Self-learning AI cybersecurity with autonomous responses

Darktrace provides cybersecurity protection by using self-learning AI to monitor networks, email, cloud, and operational technology. Its ActiveAI platform learns the normal pattern of life for each user, device, and network to detect anomalies and automatically respond to threats in real time without relying on predefined rules. It distinguishes itself with an immune-system–inspired, self-adapting approach that enables autonomous responses through technology like Antigena, rather than relying on manual rule updates. Its goal is ongoing cyber resilience by quickly neutralizing threats and reducing the need for human-led incident response across critical sectors.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Cambridge, United Kingdom
Founded
2013

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