Role Description
We’re searching for a
Sales Enablement Go-to-Market / Readiness Lead
to own end-to-end product readiness and launch enablement across our Sales and Solution Consulting organizations—leveraging AI and automation to speed up internal readiness and improve release-to-revenue cadence. This role serves as the single-threaded owner for product readiness, partnering closely with Product, Product Marketing, Marketing, Sales, Solution Consulting, Finance, Operations, and Services to ensure sellers and pre-sales teams are fully prepared before launch to position, sell, and operationalize Applied’s solutions.
Focused on driving confident seller and pre-sales adoption, consistent value messaging, and strong early pipeline performance, this role translates product and GTM strategy into actionable enablement that scales across markets, segments, and portfolios—while continuously modernizing our readiness engine through AI-assisted content creation, just-in-time learning, and data-driven readiness validation. This role is remote with minimal travel, and you can live anywhere in the U.S.
What You’ll Do
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Serve as the primary Sales Enablement owner for product readiness and go-to-market execution across all markets and segments for the Applied ecosystem.
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Lead comprehensive launch readiness planning, including talk tracks, value messaging, sales plays, certifications, and supporting assets.
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Translate product roadmaps, features, and enhancements into clear, sellable narratives tied to buyer personas and use cases.
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Ensure Sales and Solution Consulting teams are fully prepared prior to launch through structured readiness programs and validation.
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Leverage AI tools and automation to accelerate enablement production (talk tracks, FAQs, release briefs) and reduce time-to-readiness across launches.
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Influence the buildout of AI-enabled readiness playbooks and feedback loops (role-based learning paths, knowledge checks, Q&A enablement, adoption signals) to continuously improve effectiveness and cadence.
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Partner cross-functionally with Product, Product Marketing, Marketing, Sales, Solution Consulting, Finance, and Operations to align GTM strategy, pricing, licensing, positioning, and sales motion.
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Establish and operationalize a repeatable, scalable product readiness and GTM enablement framework.
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Evaluate readiness effectiveness and make data-backed recommendations to improve feedback loops, confidence, adoption, and execution.
Qualifications
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7+ years of experience in Sales Enablement, Product Marketing, GTM strategy, or related role.
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Experience supporting product launches, portfolio readiness, or GTM strategy and execution in a SaaS or technology environment.
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Insurance industry or complex B2B software experience strongly preferred.
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Formal solution-selling or consultative sales training highly preferred.
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Hands-on experience applying AI tools/workflows to Sales Enablement or GTM readiness.
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AI-forward mindset: comfortable experimenting with AI tools, defining repeatable workflows, and driving adoption/change management.
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Familiarity with responsible AI and data-handling concepts (accuracy, confidentiality, privacy/security).
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Proven ability to translate complex product concepts (including AI capabilities) into clear, compelling, sellable messaging.
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Excellent project management and cross-functional collaboration skills.
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Strong written, verbal, and presentation communication skills.
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Comfortable operating in ambiguity and managing multiple concurrent initiatives.
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Experience with CRM and Sales Enablement platforms (e.g., Salesforce, Seismic, LMS/CMS tools).
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Bachelor’s degree in business, education, or a related field — or equivalent experience.
Benefits
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Medical, Dental, and Vision Coverage.
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Holiday and Vacation Time.
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Health and Wellness Days.
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A Bonus Day for Your Birthday.
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Targeted starting base salary in the United States ranges from $99,000 - $126,500.
Company Description
Applied Systems is redefining what’s possible across the insurance ecosystem. We’re growing fast, expanding our product portfolio, and evolving how we bring solutions to market.