• Identify and approach potential B2B clients across the European Union. • Build and manage a sales pipeline independently. • Present DPO-One’s SaaS solution to companies dealing with GDPR, data privacy, and AI Act compliance challenges. • Engage with stakeholders and decision-makers to create interest and management buy-in. • Conduct product introductions, presentations, and demos when needed. • Understand client needs and position the solution in a consultative way. • Support the development of the go-to-market strategy for GDPR and AI Act compliance use cases. • Work closely with leadership to refine sales messaging and market approach.

• Identify and approach potential B2B clients across the European Union. • Build and manage a sales pipeline independently. • Present DPO-One’s SaaS solution to companies dealing with GDPR, data privacy, and AI Act compliance challenges. • Engage with stakeholders and decision-makers to create interest and management buy-in. • Conduct product introductions, presentations, and demos when needed. • Understand client needs and position the solution in a consultative way. • Support the development of the go-to-market strategy for GDPR and AI Act compliance use cases. • Work closely with leadership to refine sales messaging and market approach.

• Identify and approach potential B2B clients across the European Union. • Build and manage a sales pipeline independently. • Present DPO-One’s SaaS solution to companies dealing with GDPR, data privacy, and AI Act compliance challenges. • Engage with stakeholders and decision-makers to create interest and management buy-in. • Conduct product introductions, presentations, and demos when needed. • Understand client needs and position the solution in a consultative way. • Support the development of the go-to-market strategy for GDPR and AI Act compliance use cases. • Work closely with leadership to refine sales messaging and market approach.

Role Description FutureSight is seeking a Co-Founder & CEO to lead Maestro, an AI-native inventory-planning intelligence venture currently in development at our studio. This is a co-founder partnership with meaningful founder equity, not a salaried executive role. Maestro is an autopilot planning intelligence for SMB operators managing physical inventory complexity without a planning team. It connects across channels and ERPs, handles routine decisions silently, and surfaces exceptions with context and a recommended action before they become revenue losses. The institutional memory that today lives only in a planner's head gets externalized, structured, and queried in plain language. We didn't just build a thesis; we validated it directly with the market. We have spoken with: - Founders - VP E-Commerce leaders - Merchandise planners - Multi-channel operators at DTC and specialty retail brands across the US The market signal is clear: - Autopilot is the vision: Every named competitor generates recommendations that humans still have to act on manually. - No product at this revenue tier is building toward full autonomous execution of the planning lifecycle. - Maestro's product vision is full autopilot: the system owns the buy decision, allocation, and markdown trigger end-to-end. - Buyers earn that trust incrementally, starting with routine decisions handled silently and exceptions surfaced with context. The pain is in the dollars, not the dashboards: - Documented annual losses across just five buyer accounts total $1.25–1.5M+. - Buyers currently spend $0–500/month on software; the entire planning budget is tied up in headcount. - The payback case is immediate, and ROI demonstration, not feature demos, will be the critical sales motion. Institutional memory failure is systemic and unresolved: - One SVP with 30 years of domain expertise described relying entirely on personal recall to flag which materials, colours, and styles underperformed last season. - When he leaves, that knowledge disappears, and no tool captures it today. - Every buyer interviewed described a version of this problem. Qualifications - Previous founding experience at a venture-backed company - Demonstrated success in B2B SaaS go-to-market, including sales and customer engagement - Fundraising fluency, with the ability to develop investor narratives and close capital - Proven ability to attract, develop, and retain top talent - Clear-eyed understanding of the risks and demands of co-founding a venture-backed company - Deep, operational exposure to merchandise planning, inventory management, and multi-channel retail operations Requirements - Strategy — Refine the ICP, pricing model, and product positioning - Customer Development — Lead pilots with VPs, operations managers, and merchandise planners at importers, distributors, and multi-channel retail brands, convert them to paid engagements, and build the go-to-market motion - Product — Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback - Capital — Lead the seed raise, supported by FutureSight's network and traction - Team — Recruit and lead the founding team, and establish the cultural foundation of the company Benefits - Founder equity with meaningful ownership from inception - Pre-seed capital committed by FutureSight for early hires and MVP development, with potential for follow-on funding - Studio resources, including embedded design, engineering, growth, and fundraising support from day one - Investor and advisor network across retail tech and early-stage capital markets - A true co-creation model in which you operate as CEO with the studio as your partner How to Apply Please submit your resume, LinkedIn profile, and a brief note on why this venture aligns with your goals as a founder. We will move quickly for the right candidate. FutureSight is committed to diversity, equity, and inclusion. We welcome applicants of all backgrounds and experiences.