Distyl10.04.2026

Growth Operator

Полная занятостьУдалёнка

Обязанности

  • 01Identify and prioritize new vertical markets based on platform fit, buyer readiness, and deal economics
  • 02Build outbound pipeline from zero — cold outreach, network activation, conference presence, creative wedges
  • 03Run full-cycle discovery and qualification with enterprise buyers; own deals from first touch through close
  • 04Develop initial “Why Distyl” positioning tailored to each vertical’s pain points and competitive landscape
  • 05Build quantitative models (market sizing, unit economics, pricing sensitivity) to inform vertical prioritization and deal structuring
  • 06Map Distyl’s platform capabilities to vertical-specific workflows and buyer needs
  • 07Partner with engineering and product to scope initial deployments and design partner engagements
  • 08Build and deliver technical demos, proof-of-concept proposals, and ROI frameworks customized per buyer
  • 09Translate complex AI/ML capabilities into concrete business value for non-technical stakeholders
  • 10Design and lead structured discovery workshops with enterprise buyers to rapidly identify pain points, decision criteria, and willingness to pay
  • 11Synthesize learnings from prospect conversations into vertical strategy — what’s working, what’s not, where to double down
  • 12Conduct competitive analysis: who else is selling into these buyers, what’s their pitch, where do we win
  • 13Feed insights back to product and leadership to shape roadmap and go-to-market priorities
  • 14Identify repeatable patterns that can scale from 1-to-many within a vertical
  • 15Structure ambiguous go-to-market problems into testable hypotheses, prioritize the highest-leverage workstreams, and drive them to resolution with data
  • 16Align cross-functional stakeholders (product, engineering, leadership) around go-to-market priorities and resource allocation for new verticals
  • 17Create the first versions of pitch decks, one-pagers, battle cards, and objection-handling guides for your verticals
  • 18Develop segment-specific case studies and proof points as you close early customers
  • 19Build demo talk tracks and narrative frameworks that can eventually be handed to a broader GTM team

Требования

  • 01Hunter mentality. You get energy from building something from nothing. Cold outreach doesn’t scare you — you’re good at it
  • 02Technically fluent. You can hold your own in a conversation about model architectures, data pipelines, and system integrations. You don’t need to be an engineer, but you need to earn technical credibility with buyers
  • 035-10 years in technical BD, solutions engineering, management consulting or solutions consulting in B2B enterprise software. You’ve sold complex platforms into sophisticated buyers
  • 04Vertical market experience. You’ve opened at least one new industry or segment from scratch — not inherited a book of business
  • 05Early-stage comfort. You’ve worked at companies under 50 people, or you’ve operated like it — building your own materials, running your own processes, figuring it out
  • 06Strong writer and communicator. You can produce a crisp deck or a cold email that actually gets replies, with minimal oversight
  • 07Structured thinker. You synthesize findings into crisp, exec-ready presentations — storyline-driven decks, not data dumps
  • 0880/20 instinct. You know when the analysis is “good enough” to act and don’t over-engineer before testing in-market
  • 09Plus: Direct experience in AI/ML sales, or selling into regulated/complex industries (healthcare, financial services, industrials, government)

Условия

  • 01The base salary range for this role is $160K – $220K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
  • 02100% covered medical, dental, and vision for employees and dependents
  • 03401(k) with additional perks (e.g., commuter benefits, in-office lunch)
  • 04Access to state-of-the-art models, generous usage of modern AI tools, and real-world business problems