AI Success Architect

We need to output HTML fragment only, with sections as per rules. Use

for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We need to parse the posting. We have description: "What We’re Looking For:" then paragraphs. Then "What You'll Do:" list of responsibilities. Then "What You'll Bring:" list of qualifications/requirements. Then "What We Offer:" benefits. Then compensation details (Pay). Also schedule? Not mentioned. So we will include sections: About the role (maybe from "What We’re Looking For:"?), Responsibilities (What You'll Do), Requirements (What You'll Bring), Benefits (What We Offer), Pay (compensation). Possibly also Skills? Could embed within Requirements. But we can have Skills separate if there is specific skill list. The posting includes "Hands-on fluency with LLM platforms..." etc. That's more qualifications. We'll treat as Requirements. We must not repeat job title as heading. No Job ID. Remove boilerplate: EEO statement, etc. Also remove "Our Story", "Equal Employment Opportunity Statement", etc. Also remove navigation etc. Keep substantive info. We need to preserve all substantive information; do not invent or summarize away detail. So we need to keep the details verbatim? We can keep them as prose or list items. Must not lose details. We need to use

• for any list of duties/requirements/benefits. So for responsibilities we should make a list. For requirements also list. For benefits list. We need to use

  for prose. We need to include sections only when posting has real specific content. So we will have:

  About the role

  with paragraph(s) from "What We’re Looking For:" maybe two paragraphs. Then

  Responsibilities

  with
  • each bullet from "What You'll Do:" (there are multiple bullet-like sentences). We'll convert each sentence to
  • . Then

    Requirements

    with
    • each bullet from "What You'll Bring:" (list of items). We'll convert each bullet. Then

      Benefits

      with
      • each bullet from "What We Offer:" (list). We'll convert each bullet. Then

        Pay

        with paragraph(s) containing compensation details: base salary range, performance-based bonus, etc. We should not include Schedule section because not mentioned. We must not include filler like "commensurate with experience". Not present. We need to ensure we don't repeat content inadvertently. Let's extract text. "What We’re Looking For:" paragraph: We're looking for an AI Success Architect to join our Solutions Consulting team and own a new, post-sales discipline at Meltwater: helping our most sophisticated customers get real, measurable value out of our MCP solutions once they're live. This is not a support role and it's not a sales role. It's the connective tissue between what a customer has purchased and what they actually build with it. Customer Success owns everything inside the Meltwater product (searches, dashboards, boolean logic). The AI Success Architect owns everything on the other side of the connector: how a customer uses an LLM platform to turn Meltwater data into reports, briefs, and decisions, and how they responsibly combine that data with other sources they're bringing into the same environment. You'll be hands-on with customers from implementation through the life of the account, and you'll be a genuine authority on where AI and agentic tooling are headed, because our customers will expect you to be ahead of them. That's the about role. Now "What You'll Do:" list: Partner with customers from implementation onward to design how they'll use MCP and LLM platforms to work with Meltwater data, setting the technical and workflow foundation early so adoption sticks Help customers build skills, agents, and repeatable workflows that turn raw Meltwater data into reports, briefs, and other deliverables their teams actually use Develop and share best practices for combining Meltwater data with other datasets customers bring into their LLM environment, including guidance on structuring, prompting, and data hygiene Act as the primary point of contact for the "outside the product" experience, working alongside CS, Account Managers, and Implementation so nothing falls in the gap between platform and product Stay current on the fastest-moving part of the AI landscape (models, agent frameworks, MCP tooling) and translate what's new into practical guidance customers can use right away Identify friction points or recurring questions across accounts and turn them into scalable enablement materials, playbooks, or internal feedback for the product team Build trusted, senior-level relationships with sophisticated customer stakeholders who expect a true expert, not a generic support contact Represent the voice of the customer internally, feeding real-world usage patterns and gaps back to Product and Solutions Consulting leadership Now "What You'll Bring:" list: 5+ years of experience in solutions consulting, product specialist, or similar customer-facing technical roles Hands-on fluency with LLM platforms and agentic tooling, including how to build and structure custom skills or agents, not just how to prompt one Working understanding of MCP (Model Context Protocol) or comparable connector architectures, and how data flows from a platform into an LLM environment Comfort translating a technical capability into a clear business workflow, and comfort translating a business need into the technical setup that solves for it Experience supporting large, complex, or enterprise-scale accounts, including the patience and structure needed for phased implementations A genuine curiosity about where AI is headed, evidenced by how you already use these tools, not just familiarity with the space Strong cross-functional instincts and the ability to work smoothly alongside CS, Account Management, and Implementation without needing rigid handoffs Excellent communication skills, credible with both technical stakeholders and senior business decision-makers Prior experience with Meltwater's product suite or similar media intelligence/social listening platforms is a plus, but not required Now "What We Offer:" list: Enjoy flexible paid time off that allows you to have an enhanced work-life balance. Excellent medical, dental, and vision options 401(k) matching, life insurance, commuter benefits, and parental leave plans Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters. Energetic work environment with a hybrid work style, providing the balance you need. Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. At Meltwater, we believe great impact deserves great reward. Our compensation approach is data-driven, market-informed, and built to scale with your growth. We benchmark roles against external market data and use structured leveling frameworks to ensure fairness, consistency, and internal equity across teams and geographies. These frameworks are based on objective, gender-neutral criteria in line with applicable pay transparency regulations. For this role, the base salary range is $91,000 - $130,000. Compensation may also include a performance-based bonus opportunity. Actual offers are determined based on job-related skills, experience, demonstrated capabilities, and work location. We typically hire within the range in a way that supports long-term growth, recognizing that compensation evolves as scope, performance, and impact expand over time. We regularly review our compensation practices and conduct pay equity analyses to help ensure our decisions remain fair, objective, and market-aligned. Employees and candidates may request additional information on how compensation is determined, in line with local legal requirements. Our Talent Acquisition Team is happy to walk you through the full compensation picture specific to your location and level during the interview process. Then there is "Our Story" etc which we drop. Thus Benefits section should include the bullet points up to "Thrive within our inclusive community..." The compensation paragraph is separate; we will put in Pay section. We need to ensure we don't include the "At Meltwater, we believe great impact deserves great reward..." as part of Benefits? It's more about compensation approach; but it's part of the "What We Offer:" block. However the instruction says to create Benefits section only when posting has real specific content for it. The "What We Offer:" includes both benefits and compensation details. We could split: Benefits section for the list of benefits (flexible PTO, medical, etc.) and Pay section for compensation details. That seems appropriate. Thus Benefits
        • items: - Enjoy flexible paid time off that allows you to have an enhanced work-life balance. - Excellent medical, dental, and vision options - 401(k) matching, life insurance, commuter benefits, and parental leave plans - Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters. - Energetic work environment with a hybrid work style, providing the balance you need. - Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. Now Pay section: paragraph(s) containing the compensation details. We'll include the paragraph starting "At Meltwater, we believe great impact deserves great reward..." up to end of that block before "Our Story". We'll keep as

          . We must not include the "Our Story" etc. Now we need to output HTML fragment only, no markdown fences. Thus:

          About the role

          ... (the two paragraphs? Actually it's one paragraph but could be split into two sentences; we can keep as one

          containing the whole block.)

          Responsibilities

          • Partner with customers from implementation onward to design how they'll use MCP and LLM platforms to work with Meltwater data, setting the technical and workflow foundation early so adoption sticks
          ...

          Requirements

          • 5+ years of experience in solutions consulting, product specialist, or similar customer-facing technical roles
          ...

          Benefits

          • Enjoy flexible paid time off that allows you to have an enhanced work-life balance.
          ...

          Pay

          At Meltwater, we believe great impact deserves great reward. Our compensation approach is data-driven, market-informed, and built to scale with your growth. We benchmark roles against external market data and use structured leveling frameworks to ensure fairness, consistency, and internal equity across teams and geographies. These frameworks are based on objective, gender-neutral criteria in line with applicable pay transparency regulations. For this role, the base salary range is $91,000 - $130,000. Compensation may also include a performance-based bonus opportunity. Actual offers are determined based on job-related skills, experience, demonstrated capabilities, and work location. We typically hire within the range in a way that supports long-term growth, recognizing that compensation evolves as scope, performance, and impact expand over time. We regularly review our compensation practices and conduct pay equity analyses to help ensure our decisions remain fair, objective, and market-aligned. Employees and candidates may request additional information on how compensation is determined, in line with local legal requirements. Our Talent Acquisition Team is happy to walk you through the full compensation picture specific to your location and level during the interview process.

          We must ensure no extra whitespace issues. Now check for any boilerplate leftover: we removed EEO, Our Story, etc. Check that we didn't inadvertently include lines like "We may use AI to assist in aspects of our hiring process..." That's part of EEO statement; we removed. Now ensure we didn't miss any substantive content: The "What We’re Looking For:" we included. The "What You'll Do:" we included. The "What You'll Bring:" we included. The "What We Offer:" we split into Benefits and Pay. Did we lose any sentence like "At Meltwater, we believe great impact deserves great reward." That's in Pay. Good. Now check if any content about "Our Story" etc is substantive? It's more company description; but the instruction says remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. "Our