Karbon

Design and implement scalable learning systems, embed learning into the employee lifecycle, and leverage AI tools to enhance learning at scale. | Over 6 years of experience in L&D or talent development, proficiency with modern L&D tools including AI-driven platforms, and a global, inclusive mindset. | About Karbon Karbon is the global leader in practice management software for growth-minded accounting firms. We provide an award-winning, highly collaborative cloud platform that streamlines work and communication, enabling the average accounting firm using Karbon to save 18.5 hours per week, per employee. We have customers in 34 countries and have grown into a globally distributed team, with our people based throughout the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, have a fantastic team culture built on our values, are growing rapidly, and making a global impact. We’re looking for a builder, someone who thrives on creating structure and clarity from the ground up. As our Learning & Development Specialist, you will design and deliver scalable learning systems that accelerate onboarding, deepen leadership capability, and strengthen the culture that drives Karbon’s success. While this is a systems-builder role, we’re also looking for someone who enjoys facilitation and delivery. At its core, this role is about designing frameworks, programs, and rhythms that make learning a business driver, measured by outcomes like productivity, retention, and leadership readiness. This is a part-time role (approximately 3 days per week) About the Role Design and Deliver Scalable Learning Systems Build a unified “Learning at Karbon” framework that connects onboarding, leadership development, and ongoing capability building Design programs to improve manager effectiveness and accelerate time to productivity for new hires Launch Karbon Manager Core, focused on coaching, feedback, and accountability Refresh the Emerging Leaders Program into a globally scalable, blended model with AI-enabled learning experiences Operationalize Learning Across the Employee Journey Own and enhance Karbon’s Onboarding Academy, ensuring consistent, role-specific 30-60-90 day ramps Partner with HRBPs and functional leads to identify skill gaps and link learning to business outcomes Act as the learning partner to HRBPs, collaborating closely to embed development into team rhythms, talent processes, and key career moments Embed learning in the flow of work—searchable, self-serve, and globally accessible Apply AI to Enhance Learning at Scale Use AI tools to personalize learning paths, automate delivery, and scale learning touchpoints across the employee lifecycle Experiment with AI-powered content generation and adaptive learning technologies to drive efficiency and engagement Stay up to date with L&D innovations in generative AI, and translate emerging capabilities into practical use cases at Karbon Measure Impact and Enable Scale Define clear success metrics tied to productivity, internal mobility, and retention Track and report on learning ROI and capability uplift in partnership with Ops and Finance Use data and feedback loops to continuously improve program quality and adoption Champion Culture and Leadership at Scale Curate experiences that reinforce Karbon’s values and ways of working Equip leaders with the tools, resources, and rituals to drive connection, accountability, and team performance Recognize internal facilitators and grow a community of learning champions Success in this role is: Learning at Karbon is a unified identity across all programs within 3 months Managers consistently use shared frameworks for feedback, coaching, and development Onboarding ramp times are reduced, with measurable productivity improvements The Emerging Leaders Program is globally scaled and showing high engagement Learning outcomes are linked to retention, internal mobility, and performance metrics Everything we do is measurable About You 6+ years of experience in L&D, talent development, or org development, ideally in SaaS or fast-scaling tech Data obsessed - knowing how to apply measurements to every part of the learning journey to track success beyond just surveying employees Proven track record designing and scaling learning programs such as leadership, onboarding, or capability frameworks Strong instructional design and program management skills Proficient with modern L&D tools, including LMS/LXP, AI-driven learning platforms, and analytics Talent partner, not an order taker driven to make everything you touch better Global mindset and ability to design inclusive, relevant learning across regions and cultures Commercial, pragmatic approach focused on business outcomes Why work at Karbon? Gain global experience across Australia, New Zealand, UK, and Canada Strong benefits package including: Flexible Time Off with an encouraged 4 weeks use per year Company paid medical for you and eligible spouse/partner and dependents Paid dental and vision and eligible spouse/partner and dependents 401(k) with company matching Flexible Spending Account Up to 8 weeks paid parental leave Work-from-home stipend Work with (and learn from) an experienced, high-performing team A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback Be part of a fast-growing company that firmly believes in promoting high performers from within As we hire across various locations within the USA we are required by law to include a reasonable estimate of the compensation range for this role. The range provided is broad and takes into consideration a wide range of factors that are reviewed when making a hiring decision, such as physical location/cost of living in that location, years of experience, skills, and other business needs. It is not typical for a candidate to be hired at or near the top of the pay range and each compensation decision is dependent on each individual case. The base salary is one component of the total compensation package, which for some roles may include a target bonus, for some roles very competitive equity grant, and very generous benefits. While we believe competitive compensation is a critical aspect of you deciding to join us, we do hope you also spend time considering why our mission, purpose and values are right for you. We are creating something transformational here, and we hope you are as excited about the future as we are! The estimated base salary range for this role is: $50,000—$55,000 USD Karbon embraces diversity and inclusion, aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If you've made it this far in the job description but your past experience doesn't perfectly align, we do encourage you to still apply. You could still be the right person for the role! We recruit and reward people based on capability and performance. We don’t discriminate based on race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, physical or cognitive ability, and other diversity dimensions that may hinder inclusion in the organization. Generally, if you are a good person, we want to talk to you. 😛 If there are any adjustments or accommodations that we can make to assist you during the recruitment process, and your journey at Karbon, contact us at people.support@karbonhq.com for a confidential discussion. At this time, we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!

Develop and deploy AI-powered LLM workflows and predictive models to improve GTM funnel conversion and automate sales insights. | Hands-on AI and LLM experience with tools like OpenAI API, LangChain, strong understanding of GTM tech stacks, and familiarity with AI automation platforms; SQL or Python is a plus. | Description: • Use AI-powered data analysis and LLM-enhanced dashboards to identify impactful conversion levers across inbound, outbound, and CSQL funnels • Develop and test LLM-informed hypotheses to improve conversion ratios (e.g., lead-to-opportunity, win rates) • Collaborate with GTM and RevOps teams to operationalize AI-generated insights for measurable improvements • Deploy AI models and LLMs to analyze rep activity and time-to-serve by customer segment and identify repetitive or low-value tasks for automation • Unify CRM, call, email, product usage, and enrichment data into an AI-driven predictive signal layer that surfaces intent, fit, and timing • Train LLM-based scoring models to enhance account prioritization and sales targeting • Use LLMs and embeddings to turn Gong calls, notes, and emails into structured AI-extracted insights • Automate AI-generated summaries of objections, next-best actions, and risk signals for pipeline forecasting • Deploy AI and LLM tools to automatically generate personalized collateral (emails, decks, and messaging) tailored to prospect profiles • Implement AI-driven workflows for prospecting, reactivation, and qualification in platforms like HubSpot and Clay Requirements: • Hands-on experience with AI, LLMs, and vector embeddings, including tools like OpenAI API, LangChain, or similar frameworks • Proven ability to design, implement, and optimize AI workflows for GTM teams, including predictive modeling and automated insights • Strong understanding of data pipelines and unstructured data analysis (e.g., Gong call transcripts, email content) using LLM-based techniques • Expertise in applying LLMs for summarization, insight extraction, and next-best action recommendations within GTM contexts • Familiarity with AI-powered automation platforms (e.g., HubSpot AI, Clay, or custom GPT-based agents) • Deep knowledge of GTM tech stacks (e.g., Salesforce, Gong, HubSpot, Outreach) and experience leveraging AI integrations to extract maximum value from these tools • Solid grounding in GTM funnel metrics and the ability to apply AI analytics to improve conversion ratios sequentially • Proficiency in SQL or Python for data manipulation and AI model integration is plus Benefits: • Gain global experience across the USA, Australia, New Zealand, UK, Canada and the Philippines • Paid Flexible Time Off with an encouraged 3 weeks use per year • Company paid medical for you and eligible spouse/partner and dependents • Company paid dental and vision and eligible spouse/partner and dependents • Fully company funded short and long term disability • Fully company paid life insurance • 401(k) with company matching • Flexible Spending Account • Up to 8 weeks paid parental leave • Work-from-home stipend • Work with (and learn from) an experienced, high-performing team • A collaborative, team-oriented culture that embraces diversity, invests in development and provides consistent feedback • Be part of a fast-growing company that firmly believes in promoting high performers from within