Role Description ¿Disfrutas diseñar arquitecturas técnicas robustas, liderar equipos de ingeniería y construir el núcleo tecnológico que impulsa el crecimiento de una empresa? Este reto es para ti. Tu misión en Alegra: - Trabajarás usando metodologías ágiles como Scrum y buenas prácticas basadas en los modelos de Sillicon Valley. - Liderarás el núcleo técnico de Revenue Operations, diseñando la arquitectura core que permite escalar nuestro ecosistema comercial. - Serás la autoridad técnica que define cómo fluyen los sistemas y cómo la IA potencia la productividad. Enfrentarás los siguientes retos: - Diseñar y gobernar la arquitectura técnica del ecosistema GTM, definiendo el modelo de datos del CRM como la única fuente de verdad. - Construir integraciones resilientes y escalables entre el CRM y nuestro stack comercial (Genesys, WhatsApp API, herramientas de IA y sistemas de producto). - Liderar y desarrollar un equipo de alto desempeño conformado por ingenieros y especialistas, elevando su seniority a través de code reviews y mentoría técnica. - Implementar soluciones de IA aplicada al negocio, como scoring de leads, agentes de voz y automatizaciones inteligentes que eliminen la deuda operativa. - Asegurar la estabilidad y monitoreo de los flujos en producción, garantizando un uptime superior al 99.5% en integraciones críticas. - Colaborar con líderes de Cloud y Data para asegurar que System Ops mantenga los más altos estándares de seguridad e infraestructura global. ¿Cómo usarás IA en el día a día de este rol? - Orquestación de Agentes e IA nativa: Implementarás soluciones de RAG y modelos de scoring aplicados de forma nativa en los procesos de negocio. - Automatización inteligente: Diseñarás evaluadores automáticos de calidad y sistemas de priorización de contactabilidad basados en inteligencia artificial. Qualifications - 3 a 6 años de experiencia en puestos como Tech Lead gestionando equipos de ingenieros, con foco en el crecimiento profesional de las personas. - Dominio profundo de HubSpot avanzado: Custom Objects, Operations Hub y conocimiento de su arquitectura interna vía API. - Desarrollo Pro-Code: Experiencia real construyendo herramientas propias o internas con Node.js. - Arquitectura de Sistemas GTM: Capacidad para diseñar modelos de datos complejos y garantizar la trazabilidad completa del funnel (MQL → Revenue). - Conocimientos en Integraciones: REST, GraphQL, webhooks y manejo avanzado de sincronización de datos. - Mentalidad de Producto: Enfoque en entender el "por qué" antes del "cómo", buscando soluciones que escalen sin generar deuda técnica. - Más de 3 a 6 años de experiencia liderando desarrollos de software, creando soluciones customizadas para procesos de negocio, dominio en realizar integraciones entre diferentes sistemas. - Experiencia con Node.js. - Experiencia en arquitecturas basadas en microservicios y eventos (colas, pub/sub, mensajería). - Experiencia trabajando con bases de datos relacionales (MySQL, PostgreSQL) y no relacionales (DynamoDB), incluyendo diseño de esquemas eficientes. - Experiencia trabajando con servicios cloud (preferiblemente AWS) como EC2, S3, SQS, SNS o Lambda, o equivalentes en GCP o Azure. - Conocimiento de arquitecturas serverless y servicios como AWS Lambda, Google Cloud Functions o Azure Functions. - Conocimientos sólidos en pruebas unitarias, de integración y end-to-end. - Aplicación de patrones de diseño, principios SOLID y buenas prácticas de seguridad en el desarrollo de software. - Experiencia usando Git y trabajando con metodologías ágiles. - Experiencia usando herramientas de IA para desarrollo de software para generar código, refactorizar funciones, crear pruebas, documentar APIs y resolver problemas técnicos. - Capacidad analítica para resolver problemas técnicos y desarrollar soluciones escalables. - Habilidad para trabajar en equipo, recibir feedback y colaborar en entornos ágiles. - Dominio de inglés técnico para leer documentación y recursos de desarrollo. - Disponibilidad para trabajar en horario fijo de lunes a viernes. Requirements - Certificaciones en AWS (deseable). - Experiencia con infraestructura como código, especialmente AWS CDK (deseable). - Conocimientos avanzados en arquitecturas serverless (deseable). - Proyectos personales o contribuciones en GitHub o portafolio técnico (deseable). - Requisito de Ubicación: Ser residente nativo o contar con permiso de trabajo en alguno de estos países: Colombia, México, República Dominicana, Perú, Costa Rica y Panamá. Benefits - Trabajo 100% remoto con relación laboral estable. - Coworking mensuales con el equipo local. - Plan de carrera y oportunidades para seguir desarrollando tus habilidades. - Acceso a plataformas educativas, cursos con certificaciones y una biblioteca virtual. - Clases de inglés. - Programas de bienestar y charlas sobre hábitos saludables. - Dos días de cuidado al año adicionales a tus vacaciones. - Apoyo económico para mejorar tu espacio de trabajo. - Celebración de cumpleaños con un bono económico y medio día libre. - Un equipo con talento de distintos países y culturas.

Role Description RevolutionParts is entering its next phase of scale. We need a Head of People who has done this before, and who is already operating in an AI-native way. This is a builder-operator role for a senior People leader who has guided a company through the Series A → B → C journey (or equivalent revenue and headcount scale). You will partner directly with the CEO and executive team to build the leadership depth, operating discipline, AI-leveraged ways of working, and people systems required for the next chapter of growth, and eventual liquidity. The Mission: Build a high-performance, AI-leveraged organization that scales revenue, talent, and leadership without losing speed or culture. You will own the full People function (strategy and execution) and ensure People decisions are directly tied to business outcomes. What You’ll Be Accountable For - Executive Partnership & Scale Readiness - Act as a trusted advisor to the CEO and executive team on org design, succession, leadership effectiveness, and workforce planning. - Prepare the company for board-level scrutiny, diligence, and future exit scenarios (PE, M&A, or IPO). - Translate business strategy into people strategy with clear operating rhythms and accountability. - Organizational Design & Leadership Depth - Design and evolve org structures that support growth from ~150 → 250+ employees. - Build leadership bench strength, succession plans, and readiness across critical roles. - Coach executives known for results, not theory. - Talent Density & Hiring Excellence - Build scalable, data-driven hiring systems that prioritize talent density over volume. - Make AI fluency a first-class signal in hiring. - Raise hiring standards while maintaining speed in a competitive market. - Ensure consistent, bias-aware decision-making tied to long-term performance. - People Infrastructure That Actually Scales - Architect and professionalize People systems: HRIS, performance management, compensation, leveling, and career frameworks. - Build a People function that runs AI-forward by default. - Ensure compliance, data integrity, and operational excellence without bureaucracy. - Build dashboards that executives actually use to run the business. - AI Fluency & Ways of Working - Partner with functional leaders to redesign workflows, role definitions, and team structures around AI-augmented productivity. - Build the onboarding, training, and enablement programs that raise the AI fluency floor across the company. - Establish performance frameworks that recognize and reward AI-leveraged impact. - Treat AI enablement as a change-management mandate, not a tools rollout. - Performance, Rewards & Culture - Design compensation, incentive, and equity programs aligned with accountability and value creation. - Reinforce a performance-driven, values-aligned culture through periods of change. - Maintain trust, transparency, and engagement as the company scales. What Success Looks Like - Measurably higher talent density across leadership and critical roles. - Clear succession coverage and leadership readiness. - Strong retention with low regretted attrition. - Demonstrable lift in revenue and output per employee, driven by AI-augmented ways of working. - People KPIs clearly tied to revenue, productivity, and operating leverage. - A People function (and a broader organization) that scales ahead of growth, not behind it. Qualifications - Served as the top People leader for a SaaS or tech-enabled company through Series A → C or ~$30M → $100M+ revenue scale. - Scaled organizations from ~100 to 300+ employees. - Partnered directly with a CEO and executive team under real growth pressure. - Built People systems from scratch, and rebuilt them when they broke. - Personally fluent in modern AI tools and have already reshaped your own function or workflows around them. - Strong business acumen and comfort tying people decisions to financial outcomes. - Executive presence, sound judgment, and a bias toward action. Bonus (not required) - Experience leading AI adoption or change management at company scale. - Experience in PE-backed environments, M&A integration, or IPO readiness. - Executive compensation and equity program design. - Regular interaction with boards or financial sponsors. Why This Role Is Compelling - Direct CEO partnership and meaningful influence on company trajectory. - Real authority to build (not inherit) the People function. - A company past product-market fit and entering true scale. - High expectations, high trust, and high impact. If you’ve lived the Series A → C journey and are ready to do it again with more leverage, clarity, and impact, we’d love to talk. If this is you, then please apply and include a cover letter describing why you are the right person for this role! Benefits - Comprehensive employment package including competitive compensation. - Career development. - Benefits. - 401K match. - Parental leave. - Many more valuable perks. Company Description RevolutionParts is a high-growth SaaS company modernizing and transforming the automotive parts eCommerce ecosystem. Our platform enables enterprise and mid-market customers to operate more efficiently, grow profitably, and deliver best-in-class digital experiences.

Role Description FutureSight is seeking a Co-Founder & CEO to lead a new AI-native reverse logistics orchestration venture currently in build at our studio. This is a co-founder partnership with meaningful founder equity, not a salaried executive role. Reverse logistics — everything that happens after a sale — has become one of the largest and least controlled cost centers in modern commerce. We are building an AI-first orchestration layer that sits between customers, fulfillment networks, and finance systems. - The platform enforces policy at intake. - Captures evidence at the source. - Determines the optimal path for each return — recovery, resale, exchange, credit, refurbishment, or return to inventory. - Tracks outcomes through to financial closure. - Designed to operate as the orchestration layer across existing ERPs, WMSs, or commerce platforms. We are now seeking the founder to lead the venture from here. Market Context - Global reverse logistics activity is estimated at $700B–$900B annually, with projections exceeding $1T by 2030. - US consumers returned roughly $743B of merchandise in 2023, accounting for 14–18% of total retail sales. - In e-commerce-heavy categories, return rates routinely exceed 25–40%, versus approximately 9–10% for in-store purchases. - Processing a single return typically costs 20–65% of the item's value. - Returns consume 20%+ of order value while tying up working capital for 30–90 days before financial closure. - Rising return volumes, traceability expectations, and sustainability pressure are converging to make this a systems problem, not a policy one. The Partnership - 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 commerce, supply chain, vertical AI, and early-stage capital markets. - A true co-creation model in which you operate as CEO with the studio as your partner. Role & Responsibilities - Set the direction of the venture and lead its execution. - Refine the ICP, pricing model, and product positioning. - Lead pilots with operations-heavy commerce, retail, or supply chain organizations. - Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback. - Lead the seed raise, supported by FutureSight's network and traction. - Recruit and lead the founding team, and establish the cultural foundation of the company. Co-Founder Profile - 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. - Direct exposure to operations-heavy commerce, supply chain, or logistics environments. - Hands-on experience in returns, warranty, fulfillment, or post-sale workflows. - Familiarity with AI agents/LLMs. 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.

• Support the exploration and development of agentic AI solutions that enhance consumer, market, and business intelligence workflows. • Assist in analyzing how AI agents can synthesize large volumes of qualitative and quantitative data into actionable insights. • Work with internal datasets, research materials, and market information to test AI-enabled insight generation and summarization approaches. • Help evaluate opportunities to scale and standardize insight delivery across regions, teams, or business functions using AI-based tools. • Contribute to the documentation of AI agent concepts, workflows, assumptions, and limitations to support broader adoption. • Collaborate with Business Intelligence, Research & Insights, and other cross-functional stakeholders to understand real business needs and use cases. • Assist in developing clear outputs (briefs, summaries, dashboards, or presentations) that translate AI-generated insights into business-relevant narratives. • Participate in reviews, discussions, and feedback sessions to refine analytical approaches and improve solution quality.