Top Product Manager Jobs in Seville

Design intuitive B2B product experiences from discovery through delivery, including user flows, prototypes, usability testing, and design system contributions. Collaborate with product managers and engineers while also creating marketing, sales, branding, landing page, advertising, and campaign assets. The role is remote, part-time, and contract-based, with a $1,500 monthly retainer plus project-based compensation.

Drive product marketing for Kleos, a cloud-based legal practice management platform. Responsibilities include market and competitive research, product positioning, content creation, product launches, demand generation, customer adoption, campaign performance analysis, and sales enablement. The role collaborates with product, sales, customer service, digital marketing, and field marketing teams across Europe.

Owns the design and delivery of payment risk systems covering underwriting, exposure, reserves, payout controls, disputes, verification, and transaction monitoring. Leads projects from discovery through rollout and reliability monitoring while balancing fraud protection with organizer experience. Collaborates closely with Product, Payment Operations, and KYC teams, participates in on-call and incident response, mentors engineers, and helps automate manual risk decisions for a growing merchant-of-record platform.

Own product marketing for a Canonical product area, including positioning, messaging, launches, competitive intelligence, sales enablement, customer research, and demand-generation campaigns. The role requires translating technical open source solutions for developer and executive audiences, influencing product, sales, and marketing stakeholders, using data to improve outcomes, and mentoring other marketers. This is a fully remote EMEA role with periodic international team travel.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Own product positioning, messaging, launches, customer feedback loops, case studies, sales materials, and cross-sell campaigns for an AI-powered B2B SaaS platform. Build the product marketing function from scratch, partner closely with Product, Sales, Customer Success, Growth, and leadership, and measure adoption, pipeline, and expansion outcomes. Maintain the company’s internal product knowledge base and serve as the product’s public-facing marketing representative.

Build cloud security training labs and technical content using YAML, Markdown, Bash, and Python. Support training-platform troubleshooting, deliver technical demos and workshops, write courseware, and apply instructional design principles. Use AI coding agents to accelerate lab and script development while validating outputs. Collaborate with senior instructors and cross-functional teams while developing technical depth, teaching ability, and presentation confidence.

Manages end-to-end supply chain execution for product innovations, changes, regulatory initiatives, and discontinuations across Northern Europe. Develops integrated project plans, tracks milestones and dependencies, reports risks and readiness, and coordinates Demand Planning, Manufacturing, Logistics, Master Data, Quality, Regulatory, Marketing, and Commercial stakeholders. Translates commercial plans into supply chain requirements, manages product data activities, leads mitigation planning, and improves lifecycle governance and execution processes.

Own strategy and execution for Toloka’s B2B products, including product roadmaps, lifecycle management, acquisition-to-payment funnels, metrics, and optimization. Lead cross-functional engineering, design, analytics, marketing, and operations teams to build and launch products, incorporate customer feedback, and drive measurable user and revenue outcomes across enterprise AI ecosystems.

Own the roadmap, reliability, scalability, and compliance of internal billing tools. Lead discovery with Finance, Support, Sales, and partners; translate billing, regulatory, and operational needs into product requirements. Drive automation for account setup, quota management, reconciliation, and billing corrections. Partner with Engineering, Finance, Legal, and Operations on RBAC/IAM, APIs, data pipelines, incident runbooks, SLAs, and OKRs that improve billing accuracy, auditability, onboarding, and operational efficiency.

Own product development end to end, from identifying opportunities and prototyping with AI to coding, launching experiments, analyzing results, and iterating. Partner with engineering squads, designers, and leadership to prioritize impactful work, use data to guide decisions, and ship high-quality consumer AI features with minimal handoffs.

Lead a product area end-to-end: define roadmap, run discovery, set OKRs, prioritise from customer insights, manage dependencies, partner with engineering and design, and build a 12–18 month AI-first product vision to deliver measurable outcomes.

As a Full Stack Engineer, you will own the complete stack from UI to API, ensuring high-quality feature development and exceptional user experiences at a fast-paced startup.

Own Maze’s recruitment and participant management product vision, roadmap, and experiences across research study types. Improve participant quality, fulfillment, filtering, feedback loops, and customer recruitment workflows. Partner with Panel Operations, Engineering, Design, GTM, Customer Success, research partners, and external panel providers to scale supply, integrations, and operational efficiency. Define success metrics and balance customer needs, business goals, operational realities, and technical constraints.

Own product strategy, roadmaps, prioritization, discovery, launches, customer feedback, and performance metrics across manufacturing technology products. Partner with engineering, firmware, cloud, UX, and business teams to translate shop-floor needs into impactful solutions. Focus areas include production insights, scalable platforms and integrations, or hardware, firmware, and IoT data capture.

Generalist full‑stack engineer who ships product features, collaborates remotely, improves developer experience, writes proposals and documentation, and iterates quickly in an early‑stage environment using TypeScript/Next.js and Golang.

Lead end-to-end product design for web and mobile payment experiences, from discovery through delivery. Partner with product managers, engineers, and data scientists to identify customer needs, define metrics, conduct research and testing, create production-ready designs, and ensure implementation quality. Contribute to Yuno’s scalable design system while supporting launches across global markets and payment features.

Build and operate Typeform’s internal AI Operations capability for R&D. Identify and prioritize AI opportunities, discover workflows, design and deliver AI-native solutions, and manage their lifecycle after launch. Responsibilities include improving enterprise AI tools, coordinating access and governance, evaluating reliability and security, supporting automations and agents, measuring adoption and value, and partnering with Product, Engineering, IT, InfoSec, Finance, and other teams.

Lead the vision, strategy, and execution of Oyster’s Employer of Record product across onboarding, payroll, benefits, compliance, and offboarding. Manage and develop a multi-layered product organization, prioritize complex initiatives, and partner with Engineering, Design, Legal, Finance, and Operations. Drive AI-powered automation, scalable workflows, measurable business outcomes, and product quality across a regulated global employment platform.

Lead product direction for cloud-native GPU infrastructure and Kubernetes virtualization. Translate business priorities into technical specs, run alpha/beta validations, engage platform-engineer customers, define market positioning, and align engineering, sales, and marketing to ship and support scalable multi-tenant GPU platforms.

Own product strategy, roadmap prioritization, discovery, delivery, metrics, and automation quality. Lead engineering organization design, pod structure, performance management, and team decisions. Serve as the bridge between engineering, Shared Services, Customer Success, and the broader business. The role requires hands-on product and engineering leadership, production coding experience, short-term rental industry expertise, and experience shipping AI or automation products.

Own and evolve Argo Workflows and Argo Events, make major architectural decisions, and build Pipekit’s enterprise control-plane product. The role includes shaping the roadmap, shipping customer-focused features, engaging with open-source contributors and customers, participating in an on-call rotation, and speaking at cloud-native conferences. Candidates should have strong statically typed programming skills, Kubernetes expertise, production-systems experience, excellent written communication, and a self-directed, customer-focused approach.

Lead a company-wide transformation embedding AI and agentic workflows into Product and UX. Define the vision and roadmap, design and pilot AI-enabled product lifecycle practices, create scalable playbooks and governance, assess tools, coordinate cross-functional workstreams, measure adoption and impact, and align Product, UX, Engineering, and leadership. The role requires hands-on generative AI experience, strong product judgment, technical fluency, program execution, stakeholder management, and the ability to influence teams through ambiguity.

Lead enterprise product marketing strategy and execution for n8n. Define segmentation, positioning, GTM, and sales enablement; craft messaging for technical and business audiences; run launches and enable Sales, Product, and Customer Success; prioritize high-impact enterprise initiatives while doing hands-on execution.

Build and maintain hands-on cloud security labs across containers, Kubernetes, Linux, and public cloud environments. Own training-platform automation and reliability, deliver technical training and workshops, create instructional content and documentation, and use AI coding tools to accelerate development. Partner with Product, Customer Success, and Marketing to align enablement with product value, incorporate feedback, improve standards, and mentor junior team members.