• Work alongside senior team members to assess business workflows • Build and iterate on AI automations and lightweight applications • Participate in coaching sessions with business team members • Maintain clear documentation for the tools and workflows • Test AI tools before they go to users • Track and report on business team members' AI skill development • Research emerging AI tools and platforms • Follow AI governance guidelines and collaborate with IT and Security

• Build and maintain trusted client relationships, serving as a senior thought partner to product, business, technical, and executive stakeholders. • Lead discovery on client engagements: stakeholder interviews, workflow and process analysis, opportunity framing, AI use-case mapping, value articulation, and prioritized recommendations. • Bring structure to ambiguous problem spaces by surfacing assumptions, clarifying decisions, making risks and tradeoffs visible, and creating shared alignment around the path forward. • Facilitate executive workshops and working sessions that move teams from disconnected input to clear priorities, product direction, and next steps. • Develop clear, persuasive written artifacts - including briefs, opportunity maps, product strategy documents, PRDs, roadmaps, and client-facing recommendation decks. • Maintain product ownership through build and implementation: translating strategy into buildable work, supporting sprint planning and backlog decisions, and keeping delivery grounded in client outcomes. • Partner closely with product design, engineering, and AI engineering to validate feasibility, shape product and architecture tradeoffs, and make practical sequencing decisions. • Define outcome hypotheses, success measures, and learning plans; help clients make decisions that balance user value, business impact, feasibility, governance, and time-to-value. • Help clients identify, evaluate, and design AI-enabled products and workflows, including agentic experiences, automation opportunities, human-in-the-loop decisions, evaluation approaches, privacy, security, reliability, and change-management needs. • Use AI as an extension of the product practice - accelerating research, synthesis, prototyping, documentation, and delivery workflows while maintaining quality and judgment. • Support pre-sales efforts by joining early client conversations, helping frame opportunities, developing engagement approaches, contributing to proposals and SOWs, estimating work, and presenting Able's point of view. • Identify opportunities to deepen client relationships and expand impact while protecting trust, delivery quality, and a clear understanding of scope and outcomes. • Build and evolve Able's product strategy and design discipline: establish methods, standards, AI-enabled workflows, artifacts, and operating practices that enable exceptional client work today and scale with the company over time. • Provide functional leadership, coaching, and quality oversight for Able's current PM and design team; establish expectations for strong discovery, strategy, design collaboration, and delivery. • Help define the future structure, capabilities, hiring needs, onboarding approach, and internal tooling roadmap for an AI-native product and design practice. • Contribute to the strategy and roadmap for Able's internal platform, tooling, and operating systems when those efforts will strengthen client delivery or the broader practice.

• Design intuitive, user‑centred digital experiences from concept through to polished UI. • Translate briefs, user needs, and business goals into clear user flows, wireframes, prototypes, and interface designs. • Balance usability, accessibility, performance, and brand consistency across all digital outputs. • Present design rationale clearly and respond to feedback thoughtfully and efficiently. • Create purposeful motion, micro‑interactions, and transitions that enhance clarity, pacing, and emotional engagement. • Demonstrate strong understanding of modern digital production, including file types, formats, compression, and animation techniques. • Collaborate closely with designers, developers, marketers, and stakeholders to deliver cohesive, high‑quality outcomes.

Role Description The Opportunity - Compliance at U.S. RIAs, broker-dealers, and wealth fintechs still runs largely on manual review. - Analysts read marketing materials line by line, scan communications for keywords, and review trades and trade requests by hand. - Operational costs are significant across more than 25,000 firms, with greater regulatory exposure. - Global RegTech spend is projected to grow from roughly $12B to more than $66B over the next decade. - The U.S. market is expected to grow to $32B. - The teams that ship credible, audit-ready platforms in the next 18 months will define the category. The Venture - Building an explainable AI platform that reasons like a senior compliance officer. - Cites firm policy and SEC/FINRA regulations for every decision. - Produces audit-ready evidence on demand across various areas. - Designed to operate alongside existing compliance systems, replacing manual review. - Roadmap includes marketing review, communications surveillance, policy and manuals, audit, and regulatory filings. The Partnership - CEO co-founder is in place with a validated customer thesis and engaged design partners. - Looking for a technical co-founder to own product and engineering. - This is a co-founder role with founder-level equity and authority. - Co-decision rights on product, technology, hiring, fundraising, and strategy. - Opportunity for a board or board-observer seat as appropriate. What you'll own - Write the first lines of production code, set the technical direction, and lead execution end-to-end. - Establish core architecture, engineering culture, and security posture, including SOC 2 readiness. - Ship a marketing review prototype into production with a design partner early adopter. - Deliver communications surveillance, trading oversight, audit-ready logs, and reporting. - Release GA v1 covering all core modules except regulatory filings within 9 months. - Expand into regulatory filings and enterprise integrations through 18 months. - Own the training and evolution of the core AI/LLM model. - Ensure the platform performs consistently in the field. - Represent the company in front of customers, third-party interests, and investors. - Convert pilots into ten paying customers and reach $1M ARR within 18 months. - Recruit and lead the founding engineering and applied AI team. Qualifications - Shipped LLM-powered systems into production environments with real consequences. - Full-stack confidence across applied LLMs, RAG, retrieval, deterministic rules engines, and secure multi-tenant SaaS. - Well-formed convictions about explainability and reliability engineering. - Preference for systems that perform consistently in the field. - Prepared to operate as a principal, making decisive calls under uncertainty. - Strongly preferred: prior founder, founding engineer, or early-stage technical leadership experience. - Background in legal tech, RegTech, fintech compliance, or healthcare. - Familiarity with the U.S. wealth management ecosystem, including SEC and FINRA workflows. - Direct experience self-hosting or privately deploying foundation models. 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.