Senior L&D Specialist
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title as heading. Must not include Job ID etc. Remove boilerplate. Must preserve all substantive information. We need to parse the posting. First, there is an introductory "About Gusto" paragraph. That is likely not a section heading; maybe we can include as a
before sections? The instruction: "use
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." So we can have sections like About the role, Responsibilities, etc. The "About Gusto" is not one of those; maybe we can include as a
before sections. The instruction says "Do NOT repeat the job title as a heading (the page already shows it)". It doesn't forbid other headings not listed, but they gave examples. Likely we should only use those headings if content exists. The "About Gusto" could be considered "About the role"? No, it's about company. Could be omitted? But we must preserve ALL substantive information. So we need to include that info somewhere. Could put it in a
before any headings. Then "About The Role" section: we have a paragraph describing role. That's suitable for
About the role
with. Then "About The Team": maybe could be part of About the role? But we could include as another
About the team
but not in list. The instruction only gave examples; but we could still include other headings? It says "use for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." It doesn't forbid other headings, but likely they expect only those. However we need to preserve team info. Could incorporate into About the role section as a paragraph.
Then "Here’s What You’ll Do Day-to-day" with subheadings Facilitation, Instructional Design & Communications, Program Management, Stakeholder Management, Data & Analytics. Those are responsibilities. So we can put under Responsibilities
with a - each bullet capturing the detailed responsibilities. Must preserve all specifics.
Then "Here’s What We're Looking For" list of qualifications/requirements/skills. We need to split into Requirements, Qualifications, Skills maybe. The list includes many items: 5+ years L&D experience required, ability to travel up to 50%, proactive..., adaptability..., proven experience..., strong coaching..., expertise..., excellent stakeholder..., data-driven..., strategic thinker..., ability to thrive..., strong communication..., demonstrated experience designing..., demonstrated experimentation..., technical and AI-related skills: (sub-bullets). So we can categorize: Requirements (5+ years L&D, travel up to 50%), Qualifications (proven experience..., strong coaching..., expertise..., stakeholder..., data-driven..., strategic thinker..., ability to thrive..., strong communication...), Skills (technical and AI-related skills list). Also "Demonstrated experience designing, implementing, and evaluating AI-enabled learning solutions." and "Demonstrated experimentation with AI applications..." could be under Skills or Qualifications. We'll decide.
Then Pay: "Our cash compensation amount for this role is $85,955/yr to $107,000/yr in Denver & Phoenix, and $110,640/yr to $130,000/yr for San Francisco & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above." That's pay info. So we need
Pay
with .
Schedule: "Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees." That's schedule info (hybrid expectations). So
Schedule
with .
Benefits: The posting mentions "All full-time employees receive competitive base pay, benefits, and equity (RSUs)". Also earlier: "All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success." Also "Learn more about our Total Rewards philosophy." So we have benefits mention but not detailed. It says "competitive base pay, benefits, and equity (RSUs)". That's somewhat generic but still substantive? It mentions benefits and equity. Could we create a Benefits section? The instruction: "never create Pay/Schedule/Benefits sections unless the posting actually states them." It does state benefits (competitive benefits, equity). So we can include Benefits section with that info. However we need to avoid filler like "commensurate with experience". This is specific enough: "competitive base pay, benefits, and equity (RSUs)". We'll include.
We also have "AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process." That's under About Gusto maybe. Could be placed in About the role or a separate section? Could be part of About the role or a general statement. We'll incorporate into About the role paragraph.
We must not include boilerplate like EEO, equal opportunity, scam warning, application instructions, cookie/navigation/legal. So we need to cut those paragraphs at the end: starting from "Our customers come from all walks of life..." through the EEO statement, accommodations, fraudulent activity, privacy notice. Remove all that.
Now construct HTML.
We'll start with a
for About Gusto and AI expectation.
Then
About the role
with containing role description.
Then
Responsibilities
with - each bullet covering the five categories.
We need to capture all details from each bullet.
Let's extract responsibilities:
Facilitation:
- Facilitate in-person, virtual, and hybrid learning sessions across at least six distinct and complex knowledge areas, demonstrating a deep understanding of subject matter and the ability to tailor delivery for various audience levels, including mid & senior leadership participants.
- Take the lead in creating an inclusive and dynamic learning environment that challenges participants to apply critical thinking and problem-solving skills in real-world scenarios.
- Actively engage learners through interactive techniques, real-world examples, and structured activities that reinforce course content and objectives.
- Provide feedback & coaching to learners in real-time, offering guidance and support to enhance their understanding and skills development.
- Design and facilitate sessions that teach CX teams how to use AI tools responsibly and effectively in their daily workflows.
- Leverage AI-assisted tools to enhance participation and personalization during live training.
- Uses insights from AI-driven learning platforms to tailor discussions, provide targeted feedback, and reinforce learning outcomes.
Instructional Design & Communications:
- Lead comprehensive course design efforts, driving innovation and continuous improvement in learning materials and methods to ensure they meet the evolving needs of the CX team and broader business.
- Take full ownership of content development, acting as the final point of quality control for course content updates and ensuring that all learning materials are aligned with strategic business goals.
- Develop and manage high-level communication strategies for learning initiatives, collaborating with leadership and cross-functional teams to ensure alignment and stakeholder buy-in.
- Integrate AI-enabled design approaches into curriculum development to improve personalization, scalability, and learner engagement.
- Uses AI-enabled authoring tools to rapidly prototype, script, and iterate on training materials.
Program Management:
- Manage complex, high-visibility learning programs from end to end, with full accountability for program success, continuous improvement, and alignment with business outcomes.
- Oversee multiple CX Academy cohorts simultaneously, ensuring efficient cohort management and providing strategic guidance on program implementation and learner success.
- Monitor participant progress and engagement, proactively identifying and addressing potential barriers to success.
- Identify and drive improvements across programs, utilizing feedback from participants and stakeholders to evolve learning offerings and ensure continued alignment with business goals.
- Operationalize AI tools to automate repetitive program administration tasks where appropriate.
- Implement AI-assisted project tracking, communication, and reporting tools to streamline coordination and status visibility.
Stakeholder Management:
- Serve as a primary contact for high-level stakeholders, developing and maintaining strategic relationships to ensure learning programs are aligned with business priorities.
- Collaborate with senior leadership and department heads, providing expert consultation to design learning initiatives that directly support organizational growth and CX effectiveness.
- Influence and negotiate with stakeholders at all levels, ensuring alignment between learning objectives and business needs, while also representing the voice of the CX L&D team in broader strategic discussions.
- Use AI-supported data visualization and summary tools to synthesize stakeholder feedback and present actionable insights.
- Communicates the value and limitations of AI-assisted solutions to stakeholders, ensuring transparency and alignment with organizational standards.
Data & Analytics:
- Own the learning data strategy for key programs, using sophisticated data analysis to assess program effectiveness, identify trends, and provide strategic insights to leadership.
- Lead data-driven decision-making by tracking key performance indicators (KPIs) such as learner progress, program impact, and ROI, using this data to continuously optimize learning experiences.
- Support other team members in developing their data analysis skills, helping them to understand and apply the Kirkpatrick Model of Training Evaluation data to their own work.
- Leverage AI-derived insights to personalize learning and measure AI-enabled program effectiveness.
- Leverages AI-powered analytics dashboards to identify learning trends, skill gaps, and opportunities for performance support.
- Translates AI-derived insights into clear, actionable recommendations for program optimization.
Now responsibilities list: we can combine each bullet as
- . Might be many but okay.
Now Requirements/Qualifications/Skills.
Let's parse "Here’s What We're Looking For":
- 5+ years of L&D experience required
- Ability to travel up to 50% of the time
- Proactive, solution-oriented mindset with excellent organizational skills and attention to detail.
- Adaptability and a passion for continuous learning and personal development in a fast-paced, dynamic environment.
- Proven experience in learning program design, development, and facilitation across multiple knowledge areas.
- Strong coaching skills, with the ability to mentor learners and participants as well as junior team members.
- Expertise in managing end-to-end learning programs, including cohort management and continuous improvement.
- Excellent stakeholder management skills, with a track record of building strong relationships and aligning learning initiatives with business goals.
- Data-driven mindset, with the ability to analyze program outcomes and use insights for continuous enhancement.
- Strategic thinker with a passion for driving business impact through learning and development.
- Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
- Strong communication skills, with the ability to engage and influence stakeholders at all levels.
- Demonstrated experience designing, implementing, and evaluating AI-enabled learning solutions.
- Demonstrated experimentation with AI applications in learning, communication, or content design.
- Technical and AI-related skills:
- Practical experience with modern AI tools and workflows used in L&D.
- Familiarity with LLMs, prompt engineering, and APIs/integrations.
- Familiarity with AI tools that support content creation, data analysis, or learner engagement.
- Ability to prompt and fine-tune AI tools to produce high-quality, relevant, and brand-aligned outputs.
- Skilled in balancing automation with human creativity, ensuring learning experiences remain empathetic and human-centered.
- Experience evaluating or implementing AI-enabled learning platforms.
We
Pay
with. Schedule: "Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees." That's schedule info (hybrid expectations). So
Schedule
with. Benefits: The posting mentions "All full-time employees receive competitive base pay, benefits, and equity (RSUs)". Also earlier: "All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success." Also "Learn more about our Total Rewards philosophy." So we have benefits mention but not detailed. It says "competitive base pay, benefits, and equity (RSUs)". That's somewhat generic but still substantive? It mentions benefits and equity. Could we create a Benefits section? The instruction: "never create Pay/Schedule/Benefits sections unless the posting actually states them." It does state benefits (competitive benefits, equity). So we can include Benefits section with that info. However we need to avoid filler like "commensurate with experience". This is specific enough: "competitive base pay, benefits, and equity (RSUs)". We'll include. We also have "AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process." That's under About Gusto maybe. Could be placed in About the role or a separate section? Could be part of About the role or a general statement. We'll incorporate into About the role paragraph. We must not include boilerplate like EEO, equal opportunity, scam warning, application instructions, cookie/navigation/legal. So we need to cut those paragraphs at the end: starting from "Our customers come from all walks of life..." through the EEO statement, accommodations, fraudulent activity, privacy notice. Remove all that. Now construct HTML. We'll start with a
for About Gusto and AI expectation. Then
About the role
withcontaining role description. Then
Responsibilities
with- each bullet covering the five categories. We need to capture all details from each bullet. Let's extract responsibilities: Facilitation: - Facilitate in-person, virtual, and hybrid learning sessions across at least six distinct and complex knowledge areas, demonstrating a deep understanding of subject matter and the ability to tailor delivery for various audience levels, including mid & senior leadership participants. - Take the lead in creating an inclusive and dynamic learning environment that challenges participants to apply critical thinking and problem-solving skills in real-world scenarios. - Actively engage learners through interactive techniques, real-world examples, and structured activities that reinforce course content and objectives. - Provide feedback & coaching to learners in real-time, offering guidance and support to enhance their understanding and skills development. - Design and facilitate sessions that teach CX teams how to use AI tools responsibly and effectively in their daily workflows. - Leverage AI-assisted tools to enhance participation and personalization during live training. - Uses insights from AI-driven learning platforms to tailor discussions, provide targeted feedback, and reinforce learning outcomes. Instructional Design & Communications: - Lead comprehensive course design efforts, driving innovation and continuous improvement in learning materials and methods to ensure they meet the evolving needs of the CX team and broader business. - Take full ownership of content development, acting as the final point of quality control for course content updates and ensuring that all learning materials are aligned with strategic business goals. - Develop and manage high-level communication strategies for learning initiatives, collaborating with leadership and cross-functional teams to ensure alignment and stakeholder buy-in. - Integrate AI-enabled design approaches into curriculum development to improve personalization, scalability, and learner engagement. - Uses AI-enabled authoring tools to rapidly prototype, script, and iterate on training materials. Program Management: - Manage complex, high-visibility learning programs from end to end, with full accountability for program success, continuous improvement, and alignment with business outcomes. - Oversee multiple CX Academy cohorts simultaneously, ensuring efficient cohort management and providing strategic guidance on program implementation and learner success. - Monitor participant progress and engagement, proactively identifying and addressing potential barriers to success. - Identify and drive improvements across programs, utilizing feedback from participants and stakeholders to evolve learning offerings and ensure continued alignment with business goals. - Operationalize AI tools to automate repetitive program administration tasks where appropriate. - Implement AI-assisted project tracking, communication, and reporting tools to streamline coordination and status visibility. Stakeholder Management: - Serve as a primary contact for high-level stakeholders, developing and maintaining strategic relationships to ensure learning programs are aligned with business priorities. - Collaborate with senior leadership and department heads, providing expert consultation to design learning initiatives that directly support organizational growth and CX effectiveness. - Influence and negotiate with stakeholders at all levels, ensuring alignment between learning objectives and business needs, while also representing the voice of the CX L&D team in broader strategic discussions. - Use AI-supported data visualization and summary tools to synthesize stakeholder feedback and present actionable insights. - Communicates the value and limitations of AI-assisted solutions to stakeholders, ensuring transparency and alignment with organizational standards. Data & Analytics: - Own the learning data strategy for key programs, using sophisticated data analysis to assess program effectiveness, identify trends, and provide strategic insights to leadership. - Lead data-driven decision-making by tracking key performance indicators (KPIs) such as learner progress, program impact, and ROI, using this data to continuously optimize learning experiences. - Support other team members in developing their data analysis skills, helping them to understand and apply the Kirkpatrick Model of Training Evaluation data to their own work. - Leverage AI-derived insights to personalize learning and measure AI-enabled program effectiveness. - Leverages AI-powered analytics dashboards to identify learning trends, skill gaps, and opportunities for performance support. - Translates AI-derived insights into clear, actionable recommendations for program optimization. Now responsibilities list: we can combine each bullet as
- . Might be many but okay. Now Requirements/Qualifications/Skills. Let's parse "Here’s What We're Looking For": - 5+ years of L&D experience required - Ability to travel up to 50% of the time - Proactive, solution-oriented mindset with excellent organizational skills and attention to detail. - Adaptability and a passion for continuous learning and personal development in a fast-paced, dynamic environment. - Proven experience in learning program design, development, and facilitation across multiple knowledge areas. - Strong coaching skills, with the ability to mentor learners and participants as well as junior team members. - Expertise in managing end-to-end learning programs, including cohort management and continuous improvement. - Excellent stakeholder management skills, with a track record of building strong relationships and aligning learning initiatives with business goals. - Data-driven mindset, with the ability to analyze program outcomes and use insights for continuous enhancement. - Strategic thinker with a passion for driving business impact through learning and development. - Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. - Strong communication skills, with the ability to engage and influence stakeholders at all levels. - Demonstrated experience designing, implementing, and evaluating AI-enabled learning solutions. - Demonstrated experimentation with AI applications in learning, communication, or content design. - Technical and AI-related skills: - Practical experience with modern AI tools and workflows used in L&D. - Familiarity with LLMs, prompt engineering, and APIs/integrations. - Familiarity with AI tools that support content creation, data analysis, or learner engagement. - Ability to prompt and fine-tune AI tools to produce high-quality, relevant, and brand-aligned outputs. - Skilled in balancing automation with human creativity, ensuring learning experiences remain empathetic and human-centered. - Experience evaluating or implementing AI-enabled learning platforms. We