We're hiring a Product Analyst (Growth & Opportunity)! Summary - Flexible Title: Can tailor to reflect your skills & experience. - Flexible Time: Can do full-time, part-time, side-gig (off-hours), or fractional (contract). - Flexible Commitment: Can do short-term, long-term, or intermittent. Why so flexible? We're a FUNDED startup racing to launch end of Q2 2026. That gives us just 3 months to stack features while raising additional working capital. Feel free to jump in, help us ship, then bounce >> or stick around. A successful launch translates into lots of permanent jobs for those that want them. We're also interested in long term "side gig" relationships, if that's what you're into - in our experience, a few expert hours often beat full-time learning-curve hours. About Us We're a credible, funded, remote-first startup led by a serial [technical] founder, and backed by a 20-person team. The product is live in private alpha. Learn more about our founder, team, and comp structures at list-lab.org. About The Role This is not a product manager role. We're not looking for someone to write PRDs, run standups, or babysit a backlog. We're looking for the person who figures out what we should build next — using real signals, not opinions. You run experiments, not meetings. You turn user behavior, market dynamics, and competitive landscape into product direction that the team can act on. You understand what motivates people — the incentives, psychology, and friction that drive real behavior — and you can apply that thinking across industries to anticipate how users will act before they do. You're closer to a quant or an operator than a traditional PM — someone who finds leverage, surfaces the opportunities that matter, and makes it obvious where to focus. You won't manage engineers. You'll influence what they build by giving them something most teams never have: a clear, evidence-based picture of what matters most right now and why. This role works closely with the founder and engineering leadership. You're the person who makes sure we're building the right thing — not just building things right. If your background is primarily writing feature specs and attending sprint ceremonies, this likely isn't a fit. If you've shaped product direction through research, data, and experimentation — and you've been right more often than not — keep reading. Compensation Up to $300,000 max total compensation in Tier 1 cities; cash and equity components to be negotiated (amount reflects combined cash and equity components). What Success Looks Like in 30 Days - You've identified at least one high-leverage opportunity the team wasn't seeing — backed by evidence, not intuition alone - You've established a lightweight system for continuously capturing and synthesizing signals from users, competitors, and the market - Engineering and product leadership are using your analysis to make real prioritization decisions - You can articulate our biggest product risks and opportunities clearly enough that the founder can act on them immediately - You're already using AI tooling to accelerate research, analysis, and synthesis — and it's visibly compressing your cycle time What You'll Do - Find the opportunities that matter — conduct market research, analyze user behavior, study competitors, and surface the insights that should change what we build next - Run experiments, not meetings — design and execute lightweight tests that validate or kill ideas before engineering invests heavily. You're hypothesis-driven and allergic to building on assumptions - Turn signals into direction — synthesize messy, incomplete information from multiple sources into clear recommendations the team can act on. You don't just report findings — you make the call on what they mean - Shape prioritization — work with the founder and engineering leadership to ensure the roadmap reflects the highest-leverage opportunities, not just the loudest requests - Understand the user deeply — talk to users, study their behavior, map their workflows. You build empathy through evidence, not personas - Think in incentives and motivation — understand why people do what they do — what drives adoption, what creates friction, what makes someone come back - Monitor the landscape — track competitive moves, market shifts, and adjacent opportunities so we're never surprised and always positioned to move first - Communicate with clarity — present findings and recommendations at an executive level. You write clearly, visualize data effectively, and make complex trade-offs easy to understand - Leverage AI as a research multiplier — use AI tooling to accelerate market research, competitive analysis, data synthesis, and hypothesis generation What We're Looking For - Signal finder, not spec writer — you've shaped product direction through research and analysis, not just documented requirements. You know how to find the insight in the noise - Experiment-driven — you default to testing, not debating. You've designed and run experiments that changed what a team built — whether A/B tests, user interviews, market analyses, or prototype validations - Quantitative and qualitative range — you're comfortable with data analysis and user research. You can pull insights from a spreadsheet and a conversation with equal confidence - Early and avid AI adopter — you're already using AI tooling to move faster — research, synthesis, analysis, writing. You see it as a natural extension of how you think, not a novelty - Product instincts grounded in behavioral thinking — you understand incentives, motivation, and friction well enough to predict how users will respond — across industries, not just one domain. You have a sense for what will work before the data confirms it - Clear communicator — you can explain a complex opportunity or risk to the founder in two minutes. You write well, you present well, and you don't hide behind jargon - Startup fluency — you've worked in environments where the data is messy, the user base is small, and you have to triangulate from imperfect sources. You find that energizing, not frustrating - Independent operator — you don't need a manager to tell you what to research next. You see gaps, form hypotheses, and go after answers Nice to Have - Experience in an analyst, product strategy, or growth role at an early-stage startup - Background in marketplace, network, or platform products where user dynamics were complex - Experience working directly with a founder or executive team to shape product direction - Comfort with SQL, analytics tools, or data platforms — enough to self-serve, not necessarily to build pipelines - Track record of killing bad ideas early — saving engineering time by disproving assumptions before they became features - Experience synthesizing competitive intelligence into actionable product strategy - Cross-industry experience — you've worked across multiple verticals or user types and can transfer behavioral insights between them

Role Description En Personal Pay estamos sumando un/una Product Analyst con conocimiento de productos financieros y ganas de dejar huella en la transformación financiera del país. Buscamos protagonistas que se animen a: - Definir y documentar casos de uso, historias de usuario, criterios de aceptación y casos de prueba, asegurando que los entregables cumplan con el valor esperado. - Documentar y relevar procesos críticos transversales al producto. - Colaborar con stakeholders técnicos y de negocio (riesgo, compliance, partners externos) para garantizar la viabilidad, escalabilidad y cumplimiento regulatorio de las soluciones. - Acompañar al Product Owner en la definición y priorización del backlog de iniciativas. - Identificar oportunidades de mejora en los productos de préstamos. - Trabajar junto al equipo de UX para diseñar experiencias excepcionales para el usuario. - Monitorear KPIs clave para medir el éxito y detectar mejoras continuas. - Realizar el seguimiento operativo del producto: monitoreo de casos e incidencias, detección de inconsistencias funcionales y coordinación con los equipos para su resolución. - Dar visibilidad de estado y avance de resolución de las distintas iniciativas. - Análisis de causa raíz de incidentes funcionales. Qualifications - 2 a 3 años de experiencia en roles similares: Product Analyst, Business Analyst o Desarrollo de Producto en equipos ágiles y con manejo de AI. - Capacidad analítica, manejo de métricas y herramientas de IA (Google Analytics, SQL, BigQuery - data-driven, excluyente). - Experiencia en pagos, fintech, banca digital o productos financieros (deseable). Benefits - Modalidades de trabajo flexible. - Bono por performance. - Una semana extra de vacaciones. - Descuentos y bonificaciones exclusivas en nuestras marcas Personal y Flow (internet, conectividad móvil y entretenimiento) para vos y tu familia. - Prepaga para vos y tu grupo familiar a cargo. - Acceso libre a la plataforma digital de contenidos de aprendizaje (Universo Telecom). - Bonificaciones especiales en universidades de primer nivel. - Programa de referidos con reconocimiento económico (TECOnecto). - ¡Y mucho más!

• Own and maintain GridUnity’s Market Map as a strategic product decision tool, providing a clear, structured view of the interconnection and planning ecosystem, including competitive positioning, market structure, ecosystem dynamics, and emerging risks. • Develop and maintain competitive intelligence on key players, adjacent solutions, and new entrants, including capabilities, positioning, and potential impact on GridUnity strategy. • Identify competitive threats, whitespace opportunities, and structural market shifts that inform product direction and differentiation. • Integrate outputs from competitive intelligence, regulatory monitoring, tariff analysis, Market Radar, and Voice of Customer activities into decision-ready insights for executive leadership. • Lead development of market, competitive, customer, and regulatory implication briefs, translating signals into clear product, positioning, and capability implications. • Ensure insight quality, consistency, and relevance across the Product Strategy Library, with a focus on decision usability and strategic clarity. • Serve as Product Enablement’s primary partner in roadmap and strategy discussions, providing market, competitive, partner, and regulatory context, framing, and informed judgment. • Provide market, competitive, and regulatory perspective to the Product Alignment Council, Product Lifecycle Council, and other leadership forums. • Collaborate with Product, Customer Experience, and Sales to ensure insights are embedded into planning, rollout, and adoption strategies. • Provide functional leadership across insight activities, setting priorities, standards, and synthesis approaches, including competitive intelligence and market analysis frameworks. • Partner closely with analysts and subject matter experts cross-functionally to guide work without formal line management. • Support evolution of Enablement processes to ensure scalability and long-term value, particularly in market intelligence and decision-support infrastructure.

• Lead analytics initiatives end-to-end: size opportunities, design and analyze experiments, develop and monitor key metrics, and provide actionable insights. • Build and maintain user-friendly dashboards in Periscope and other BI tools, enabling self-serve access and improving visibility into product and business performance. • Provide consultative support to leadership, tailoring analysis to highlight the “so what” for decision-making. • Identify and deliver opportunities for automation and process improvement in the analytics pipeline. • Regularly audit and improve data quality and integrity, collaborating with engineering and central data functions to ensure strong foundations. • Contribute expertise in experimentation, pricing, payments, and product adoption to drive growth outcomes.