Jobs at Plain Concepts

Designs, develops, trains, tests, deploys, and monitors production-grade AI and machine learning solutions. Responsibilities include data cleaning and transformation, scalable ML pipeline development, MLOps automation, model optimization, and production deployment. The role requires strong Python, cloud, software engineering, testing, NLP, and computer vision skills, with collaboration in agile multidisciplinary teams.

Leads and scales the Product Vertical, including product management, design, digital strategy, and UX/UI teams. Owns offering development, go-to-market strategy, commercial growth, client engagements, project definition, and end-to-end delivery. Partners with sales teams, develops proposals, manages project economics and risks, strengthens methodologies, and ensures client outcomes. Also serves as a senior client contact, executive sponsor, and team development leader.

You will design and develop data solutions, create ETLs using Spark, work on cloud projects, and build scalable data pipelines.

Develop and deploy AI-powered 3D graphics solutions for desktop, web, VR, and AR applications using the Evergine engine. Build computer vision and spatial computing models, including NeRF, Gaussian Splatting, point-cloud processing, SAMv2, and GroundingDINO or FlorenceV2. Design scalable algorithms, integrate machine learning frameworks, and collaborate with research and engineering teams in an Agile environment.

Lead product strategy and delivery for insurance and financial services clients. Define product visions, roadmaps, AI use cases, business cases, and delivery plans; act as Product Owner for engineering, data, and AI teams; manage risks, dependencies, budgets, and stakeholder relationships. Advise senior executives, lead workshops and presentations, support UK business development, mentor consultants, and help grow the UK practice.

Leads product strategy, discovery, and hands-on UX design for digital and AI-native products. Defines product visions, roadmaps, user journeys, concepts, interaction models, prototypes, and AI-powered workflows. Partners with clients, engineering, AI, data, and product teams to validate ideas, shape backlogs, and deliver products. Facilitates workshops, conducts research, mentors designers, and contributes to consulting methodologies. Uses low-code/no-code tools such as Replit and Lovable for rapid prototyping and product validation.

Product Consultant responsible for delivering client work packages, developing product strategies, business cases, roadmaps, AI use cases, and data-driven solutions. The role involves facilitating workshops, managing client relationships, creating executive-ready deliverables, and coordinating with technology, engineering, product, and data teams. Candidates should bring 5+ years of consulting, venture building, digital strategy, or product management experience, plus expertise in AI-powered products, cloud, data strategy, UX/UI, and bilingual English-Spanish communication.

Lead advanced SOC investigations and escalations across endpoint, identity, network, cloud, and SIEM environments. Design detection rules, queries, automations, integrations, and SOAR playbooks. Apply AI and agentic security capabilities to investigations, evidence enrichment, and response recommendations. Serve as a technical reference for junior analysts while improving detection quality, reducing alert fatigue, and increasing response efficiency.

Lead and scale the Product Vertical by evolving its value proposition, driving commercial growth, managing strategic client engagements, and overseeing end-to-end delivery. The role leads multidisciplinary product, design, and digital strategy teams; develops methodologies and reusable assets; supports proposals and sales; manages project quality, budgets, margins, and client relationships; and contributes to hiring, team development, and the consulting model.

Design, develop, simulate, test, and deploy intelligent robotic systems across virtual and physical environments. Build digital twins, perception systems, navigation and control algorithms, and sim-to-real workflows using robotics, AI, computer vision, and reinforcement learning. Collaborate with research and engineering teams to prototype emerging technologies and deliver production-ready autonomous robotic solutions.

The Digital Strategist will lead digital transformation projects, conduct analysis, support AI initiatives, and collaborate with teams to deliver impactful solutions.

As a Senior AI/ML Engineer, you'll design and develop AI solutions, build production-level ML models, and implement MLOps practices. You'll work with a multidisciplinary team on cutting-edge projects, focusing on AI-powered software and deep learning techniques.

Plain Concepts is looking for talented individuals passionate about technology and continuous learning. Positions may arise in the future, and the company encourages potential candidates to submit their profiles.

Seeking a Senior Digital Strategist to lead AI and data-driven projects, develop innovative solutions, and execute product management strategies while collaborating with clients.

Design, build, and deploy production-quality AI/ML solutions (NLP & Computer Vision). Own end-to-end ML lifecycle including data cleaning, model development, MLOps, automated deployment, monitoring, testing, and optimization in cloud environments.