Senior GTM Consultant

Responsibilities

• Serve as a pre-sales subject matter expert and strategic partner to Sales through scoping, discovery, proposal development, and enterprise SOW creation.
• Lead complex, multi-phase enterprise consulting engagements from strategic assessment through solution architecture, implementation, and executive enablement.
• Design and deliver GTM frameworks, enterprise playbooks, and quantitative measurement models for scalable revenue operations.
• Architect GTM solutions involving enterprise data strategy, predictive scoring, multi-instance CRM integrations, workflow automation, audience segmentation, and global territory design.
• Assess enterprise revenue operations to identify capability gaps, process inefficiencies, and optimization opportunities.
• Act as an executive sponsor and trusted advisor, maintaining project governance, cross-functional alignment, and deliverable quality.
• Facilitate executive workshops and C-suite alignment sessions.
• Identify expansion and cross-sell opportunities within active client accounts.
• Mentor junior consultants and contribute to delivery standards and practice capabilities.
• Collaborate with Product, Engineering, CX, RevOps, and Sales leadership on solution feasibility and service delivery.
• Evolve advisory methodology, service catalog, estimation models, and consulting artifacts.

Requirements

• 5–7+ years of progressive experience in professional services, management consulting, revenue operations, or strategic GTM advisory within B2B SaaS or enterprise technology.
• Bachelor's degree in Business, Economics, Marketing, Computer Science, or a related field; an MBA or advanced degree is preferred.
• Expert understanding of enterprise GTM technology ecosystems, including complex CRM architectures, marketing automation, sales engagement, and intent platforms.
• Experience managing and delivering multiple concurrent, high-value client engagements.
• Exceptional communication, executive presence, storytelling, and presentation skills.
• Experience creating executive strategy decks, governance playbooks, process maps, data architecture diagrams, and implementation roadmaps.
• Deep expertise in change management and enterprise-wide organizational transformation.
• Advanced knowledge of generative AI, intelligent automation, and agentic workflows.
• Collaborative leadership skills and the ability to build trusted-advisor relationships across organizational levels.

Nice to Have

• SQL proficiency for data analysis, querying, data hygiene modeling, and reporting.
• Pre-sales experience with scoping, proposals, and enterprise SOWs.
• Experience with Snowflake, Databricks, and enterprise data lake architectures.
• Account-Based Marketing strategy, multichannel orchestration, and enterprise targeting experience.
• Salesforce, marketing automation, or project management certifications, including PMP, Agile, Scrum, or ScrumMaster.
• Knowledge of predictive modeling, machine learning scoring algorithms, entity resolution, and data deduplication.

Compensation and Benefits

• Base salary: $108,500–$170,500 USD.
• Additional compensation, including bonus, commission, equity, and benefits, may apply.
• Comprehensive benefits and mind, body, and lifestyle well-being programs.