Business Impact Lead - Go-To-Market (GTM)

Aily Labs
Aily Labs
Barcelona, Munich, MadridPresencialCompetitivoPublicado hace 3 mesesMidIndefinido
🇬🇧Inglés requeridoBil

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As a GTM Business Impact Lead, you act as the go-to-market domain expert and solution architect for Aily App commercial modules. Your mission is to embed Aily App into core Sales, Marketing, and Commercial Excellence routines, enabling Fortune 500 companies to move faster from insight to action.
You own the Aily.gtm client journey from first integration to enterprise-wide adoption, ensuring the GTM product is fully deployed, trusted, and embedded into daily business routines to deliver measurable value and ROI.

WHAT YOU WILL DO

Internally:

Convert commercial routines and client context into product requirements and AI decision logic, refine model accuracy, and shape the product roadmap and future high-impact use cases.

Externally:

Drive client value realization by leading product deployments, guiding data readiness, validating AI through business feedback, upskilling Sales, Marketing, and C-level stakeholders, and accelerating time to value.

YOUR RESPONSIBILITIES

GTM Solution Architecture

  • Translate Sales and Marketing routines into product requirements and AI decision logic
  • Define AI outcomes and decision quality standards
  • Co-shape scalable product capabilities and future use cases
  • Partner with Product, ML, and Engineering on feasibility and readiness
  • Define and own data requirements, data collection, and AI fine-tuning needs to accelerate deployment and time to value
  • Influence the product roadmap through client and adoption insights

GTM Authority in the Room

  • Act as the trusted go-to-market domain expert for clients and internal Product and AI teams
  • Be the trusted advisor to C-level commercial stakeholders and turn them into champions
  • Represent GTM user needs in product and roadmap discussions
  • Communicate AI and data topics, assumptions, and trade-offs in clear business language

Deployment, Adoption & Time-to-Value

  • Drive rollouts from entry-point GTM use cases to enterprise-wide adoption
  • Own time to first active user and time to routine across commercial deployments
  • Upskill and evangelize Sales and Marketing users through workshops, executive sessions, and engagement campaigns

YOUR PROFILE

Must have

  • Strong understanding of enterprise Sales, Marketing, and Commercial Excellence routines and decision-making
  • 5+ years of experience in commercial consulting, Sales, Marketing, or Revenue Operations roles, with exposure to analytics or solution-oriented environments
  • Tech-savvy profile with fluency in data and AI concepts, including data requirements and model behavior
  • Proven experience working with Fortune 500 or large enterprise clients
  • Extreme ownership mindset with accountability for outcomes, adoption, and time to value
  • Strong communication skills with senior commercial and executive stakeholders

Strongly recommended

  • Background in tech consulting, solution architecture, or product-facing roles
  • Experience with AI-powered, analytics, or data-intensive products
  • Exposure to enterprise SaaS environments
Experience mentoring, leading, or scaling small teams or domain practices Aily Labs is a fast-growing applied AI scale-up founded in 2020, with hubs in Munich, Barcelona, Madrid, New York City, and Cluj-Napoca. We build AI-powered products that help large enterprises make better decisions, faster.
Our flagship AI mobile app delivers real-time, actionable business insights across core functions, breaking silos and embedding AI directly into daily business routines. Our ambition is to become the reference platform for AI-driven decision-making in large organizations.

WHY AILY

  • Work at the intersection of AI, go-to-market, and enterprise decision-making
  • Take real ownership of outcomes and impact
  • Partner directly with senior commercial leaders across global organizations
  • Hybrid setup with 2-3 days per week in our Barcelona, Madrid, or Munich offices
  • Competitive compensation and performance-based rewards
  • Open feedback culture, learning mindset, and regular team off-sites

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