• Own the end-to-end strategy and operations of HubSpot’s Customer Reference Program, including advocate recruitment, onboarding, matching, engagement, and program governance. • Partner closely with Sales, Customer Success, Product Marketing, and GTM Enablement to integrate customer references earlier and more effectively throughout the buyer journey. • Build and maintain a diverse advocate community that reflects HubSpot’s evolving products, customer segments, industries, and strategic priorities. • Develop and implement AI-powered workflows that improve reference matching, advocate engagement, and overall program efficiency. • Provide strategic leadership for day-to-day operations while partnering with the Customer Reference Operations Specialist to execute program activities at scale. • Design and deliver exceptional advocate experiences that strengthen long-term customer engagement and encourage ongoing participation. • Develop playbooks, documentation, and enablement resources that help revenue teams confidently identify, request, and use customer references. • Measure and optimize program performance using KPIs such as reference fulfillment speed, advocate engagement, sales adoption, pipeline influence, and deal acceleration. • Identify opportunities to improve program processes, automation, reporting, and customer experiences through continuous experimentation and data-driven decision-making. • Serve as the primary subject matter expert for the Customer Reference Program across HubSpot’s go-to-market organization.

• Perform side-by-side (SBS) comparisons of AI-generated responses • Evaluate outputs based on: • Accuracy • Relevance • Clarity • Instruction-following • Identify nuances in tone, meaning, and cultural context across French • Apply detailed, scenario-specific annotation guidelines • Maintain consistency and high-quality evaluations

• Build and maintain a prioritized website optimization roadmap aligned with business goals, product launches, campaign priorities and buyer needs. • Analyze visitor behavior, performance data and content engagement to identify friction and opportunity, and translate those insights into clear, testable hypotheses. • Plan, launch and evaluate A/B tests, multivariate tests and targeted audience experiences, measuring incremental impact against appropriate control experiences. • Improve conversion paths and build personalized experiences across product pages, landing pages, forms and other high-intent destinations, tailored to known visitors, target accounts and other priority segments. • Use web analytics, heatmaps, session behavior and qualitative insights to understand how different buyer groups interact with the website and build recurring reports connecting that behavior to qualified conversions, pipeline influence and business outcomes. • Identify meaningful performance differences across channels, accounts, industries and stages of the buyer journey. • Develop repeatable AI-assisted workflows, including reusable prompts, agents, templates and evaluation frameworks, to accelerate research, hypothesis generation, content evaluation and reporting, automating repetitive work while maintaining human review. • Recommend improvements to page structure, content clarity, internal linking and structured data to improve machine readability, and monitor traffic and behavior from AI assistants, answer engines and other emerging discovery sources. • Maintain documentation of hypotheses, experiments, results and learnings.

Role Description As the AI Technical Lead at Martell Group, you’ll be the engine behind our product, translating real-world business problems into lightning-fast, scalable AI solutions. You’ll work side-by-side with a commercially proven co-founder under Martell Group's battle-tested venture studio model, owning everything from architecture to iteration velocity. This role is perfect for a pragmatic, execution-led builder ready to ship with speed, autonomy, and clarity, without the fundraising distraction. What you’ll do: - Take a validated product concept and turn it into a shipped, scalable SaaS product. - Build the foundational stack and convert concierge delivery into software. - Harden the product as the customer base grows, set engineering standards, and prepare for future hires. Specifically you will: - Inherit the validated customer list and offer from your Business Leader. - Ship a functional first version fast, using AI tooling and modern frameworks. - Build only what customers have asked and paid for. No speculative features. - Own code quality, performance, and security from day one. - Support customer demos, integrations, and escalations alongside your Business Leader. - Set the engineering bar for the first technical hires that follow you. What success looks like: - A first product version live and in paying customers’ hands within the first two months. - A product that does what your Business Leader sold. Nothing more. - A codebase another engineer can pick up in a week. - A venture on a credible path to meaningful ARR inside the first year. Qualifications - 5+ years shipping SaaS products. Founding engineer or technical co-founder experience required. - Experience building and shipping with LLMs, agents, and modern AI tooling. - Proven ability to work solo in early stages, scrappy and autonomous. - Full-time commitment. Requirements - Prior product reached revenue while you led the tech. - Prior success inside Dan Martell’s network or programs. - Product intuition backed by real customer contact, not just GitHub commits. Benefits - $250,000 OTE + Equity - Remote location