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Company Description

Cloudbyz is a next-generation life sciences technology company delivering a unified, Salesforce-native eClinical platform designed to modernize and automate clinical research, safety, and regulatory operations.

Our platform supports end-to-end clinical and post-market workflows, including Clinical Trial Management (CTMS), Electronic Data Capture (EDC), eTMF & Regulatory Operations, Study Start-Up, Clinical Trial Financial Management (CTFM), Safety & Pharmacovigilance (Drug, Device, Cosmetics, Nutrivigilance), and Patient Engagement & Recruitment.

Cloudbyz is trusted by biotech, pharma, medical device, diagnostics, CROs, and consumer research organizations, including global enterprises and fast-growing innovators.

Cloudbyz is built with an AI-first product and GTM strategy. Our platform goes beyond traditional systems of record to deliver systems of intelligence and automation, powered by embedded AI and autonomous agents.

This role is critical to bringing Cloudbyz’s AI-driven vision to market at scale.

About the Role

Cloudbyz is seeking an experienced Go-To-Market (GTM) Leader to build and scale our U.S. commercial engine for a Salesforce-native, unified eClinical platform and our rapidly expanding AI product portfolio serving biotech, pharma, medical device, diagnostics, and CROs.

This is a builder + scaler role—ideal for a GTM leader who has taken complex B2B SaaS platforms from early growth to scale, understands life sciences buyer personas, and can translate AI-driven innovation into repeatable revenue.

You will own end-to-end GTM strategy and execution across Sales, Marketing, SDR, Partnerships, Pricing, and Revenue Operations, working closely with the CEO, Product, and AI Innovation Lab.

Key Responsibilities

1. GTM Strategy & Market Positioning

• Define and execute Cloudbyz's U.S. GTM strategy across:
  • Unified eClinical (CTMS, EDC, eTMF, RTSM, CTFM, Safety)

  • AI Agents (eTMF Intake, Regulatory Intelligence, AI SDR, AI Translation, AI CSV, etc.)
• Own ICP definition, segmentation, and vertical plays (Biotech, CRO, MedTech, Diagnostics, Consumer Research)
• Build persona-based value propositions for:
  • Clinical Operations

  • Regulatory & Quality

  • Safety & PV

  • Finance & Trial Operations

  • IT / Salesforce stakeholders

2. Revenue Growth & Sales Leadership

• Own ARR growth, pipeline, bookings, and forecast accuracy
• Build and scale:
  • Enterprise & Mid-Market Sales

  • SDR / BDR motion (including AI SDR augmentation)

  • Channel & Partner-led selling
• Establish sales methodology (MEDDICC / Command of the Message / Challenger)
• Drive large enterprise deals ($250K–$2M+) with long sales cycles
• Coach and develop high-performing Account Executives and Sales Leaders

3. AI Product Monetization

• Lead pricing, packaging, and monetization for:
  • AI Agents

  • Usage-based and value-based pricing models

  • Platform + AI bundles
• Develop ROI narratives and calculators demonstrating:
  • Cost reduction

  • Cycle-time acceleration

  • Compliance risk reduction
• Ensure smooth GTM launches for new AI products

4. Demand Generation & Marketing Alignment

• Partner with Marketing to drive:
  • Pipeline-focused demand generation

  • Thought leadership (white papers, AI use cases, regulatory content)

  • Event-led GTM (SCOPE, DIA, JP Morgan, ADLM, Dreamforce, HLTH)
• Ensure tight alignment between:
  • Product messaging

  • Competitive positioning (vs Veeva, Medidata, ArisGlobal, Advarra)

  • Sales enablement and ROI storytelling

5. Pricing, Packaging & Monetization

• Define and optimize pricing and packaging for:
  • Platform subscriptions

  • AI Agents (usage-based, per-study, per-user, per-volume)
• Develop ROI calculators and value-based pricing models
• Lead deal desk governance and discounting strategy

6. Partnerships & Ecosystem

• Build and scale strategic partnerships with:
  • Salesforce ecosystem

  • CROs and system integrators

  • Technology and AI partners
• Enable partner-led pipeline and co-sell motions

7. GTM Operations & Scale

• Establish revenue operations discipline:
  • Forecasting

  • Funnel metrics

  • CAC, LTV, sales efficiency
• Build scalable GTM processes across:
  • CRM

  • AI-driven sales tools

  • Enablement platforms

Ideal Candidate Profile

Required Experience

• 12+ years in B2B SaaS GTM / Revenue Leadership
• 7+ years in Life Sciences software (eClinical, Safety, Regulatory, Clinical Ops)
• Proven experience scaling revenue from $5–50M+ ARR
• Strong understanding of:
  • CTMS, EDC, eTMF, RTSM, Safety, Clinical Financials

  • Life sciences buying cycles and regulatory context
• Experience selling platform + AI-enabled solutions

Preferred Experience

• Salesforce ecosystem experience (highly preferred)
• Experience competing against Veeva, Medidata, ArisGlobal, Advarra
• Experience launching AI-driven products or agents
• Startup or scale-up experience in a founder-led environment

Leadership & Personal Attributes

• Strategic thinker with strong execution bias
• Builder mindset—comfortable with ambiguity
• Strong storyteller—can translate complexity into value
• Data-driven, metrics-oriented GTM leader
• Collaborative partner to Product, AI, and Customer Success

Why Cloudbyz?

• Unified, Salesforce-native eClinical platform
• Strong AI-first roadmap with real production AI Agents
• Rapid customer traction across pharma, biotech, CROs, diagnostics
• Opportunity to shape GTM from the ground up
• Direct influence on product direction and company strategy

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