We’re partnered with a high-growth, AI-native platform that’s redefining how companies turn real customer conversations into sharp, actionable insights. They’ve got strong backing, real traction, and a product that’s genuinely winning in market.

Now they’re looking for standout commercial talent to help scale what’s already working.

This is for someone who sits at the intersection of MarTech or SaaS and market research. Someone who can sell a platform and speak the language of insights. You know how to close deals, but more importantly, you know how to lead a smart, consultative conversation once you’re in the room.

They’re building the GTM engine and this hire is a key piece of it.

What You’ll Do

• Own the full sales cycle from outbound to close
• Build pipeline while leveraging strong inbound interest
• Lead consultative conversations with insights, product, and marketing leaders
• Partner with leadership on GTM strategy, messaging, and sales motion
• Help build scalable processes as the company grows

What They’re Looking For

• 4+ years in a quota-carrying role within SaaS, MarTech, or market research or insights
• Proven track record closing net-new business
• Someone who understands research, not just sells into it
• Strong consultative seller who can translate product into business impact
• Comfortable in early-stage, fast-moving environments

Why This Role

• Product-market fit with strong enterprise traction
• High-growth, well-funded company
• Differentiated AI product with real adoption
• Opportunity to shape GTM and grow with the business
• Competitive comp and meaningful equity

If you want to be early, have real impact, and help build something that’s already working, this is the kind of role people look back on.

• Build, train, and optimize machine learning and AI models powering core product features
• Work with large-scale datasets to generate insights and improve model performance
• Partner with product, engineering, and analytics teams to define and execute data-driven initiatives
• Design and implement experimentation frameworks to evaluate model and product performance
• Translate complex technical outputs into clear, actionable insights for stakeholders
• Contribute to the broader data and AI strategy, helping shape future product direction

• 5+ years of experience in data science, machine learning, or related roles working with large, complex datasets
• Strong foundation in statistics, including experimentation, probability, and exploratory analysis
• Hands-on experience building and deploying machine learning models in production
• Experience with modern ML techniques, including deep learning and LLMs (e.g., fine-tuning, evaluation)
• Proficiency in Python and SQL, with strong coding and data manipulation skills
• Experience with scalable data processing (e.g., distributed systems, large-scale pipelines)
• Ability to communicate technical insights clearly to non-technical stakeholders
• Strong product mindset with a focus on driving measurable impact

• Work on AI products with real-world healthcare impact
• Access to large-scale, proprietary datasets
• Highly collaborative, product-driven environment
• Opportunity to shape AI strategy at scale
• Competitive compensation: $170K–$248K total comp (base + equity)

• Has actually built and deployed ML/AI systems, not just analyzed data
• Understands how to take models from concept ? production ? impact
• Enjoys working cross-functionally with product and engineering
• Is excited about applying AI to meaningful, real-world problems

AI-Native Insights Platform | High-Growth Startup

Why Join at This Stage

This is a rare opportunity to join a fast-scaling, AI-powered insights platform at a true inflection point. The product is already winning with enterprise customers, insights are spreading virally inside organizations, and research is directly influencing real decisions — not just decks.

What’s needed now is senior research leadership to define the standard for how insights are delivered, trusted, and scaled in an AI-native world. You won’t be inheriting a mature organization with rigid rules. You’ll be helping to build the playbook — shaping how research drives product direction, executive decision-making, and long-term customer value.

This role offers real ownership, close partnership with founders and product leadership, and the chance to build a core function that directly impacts growth.

The Role

The Head of Research & Methodologies will build and lead the Insights Strategy function, sitting at the intersection of research, product, customer success, and revenue. Insights are not a support function here — they are central to customer retention, expansion, and company momentum.

What You’ll Do

• Build and lead the Insights Strategy function, defining vision, standards, and operating model

• Establish best practices for onboarding, insight delivery, and executive-level storytelling

• Serve as the senior research voice partnering with product, AI, and engineering teams

• Translate customer patterns into product and positioning strategy

• Act as a trusted, customer-facing research advisor supporting retention, expansion, and escalations

• Evolve how qualitative and quantitative insights are synthesized, packaged, and communicated

• Experiment with AI-enabled workflows to deliver insights faster and more effectively

Who You Are

• 10–15+ years across research, insights, strategy, consulting, or analytics-driven roles

• Proven experience in early-stage or high-growth environments

• Deep, hands-on knowledge of end-to-end qual and quant research

• Comfortable advising enterprise clients with a commercial mindset

• Highly operational, systems-oriented, and quality-driven

• Thrives in ambiguity and takes full ownership