What Makes Us a Great Place to Work We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the \#1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. Who You’ll Work With You will be part of a team building Bain’s integrated suite of agentic decisioning tools that gives large organizations always\-on intelligence across their most important growth decisions. The role sits at an intersection few organizations can offer: the analytical depth and client access of a top\-tier consultancy, the technical ambition of a product company, and engineering work at the frontier of applied AI. You will work inside Bain’s standing product team, building software that helps the world’s largest companies answer the questions that drive their business: where to invest, where to focus, and how to win. The impact of what you build is direct and immediate, and the platform compounds in value with every release. **The platform has two layers working together:** an agentic core and a set of decision modules, each solving a distinct commercial problem. The build lifecycle is connected to the real world: as case teams work alongside clients across industries and geographies, that feedback flows straight back to engineering and into the product. Every client engagement makes the platform smarter, broader, and more resilient. This is a startup inside an established company. You get genuine early\-stage ownership and real influence over architecture and product direction, backed by Bain’s global scale, client relationships, and leadership commitment; the pace of a startup with the runway of a global firm. We are looking for engineers who see how to make a product module better and bring that instinct to every sprint without being asked, and who are comfortable with problems that do not have a known answer. The work involves real\-time decision engines, cloud\-native infrastructure, and data problems with no off\-the\-shelf answer. Experience with agentic systems matters: tool and context protocols such as MCP, evaluation harnesses, memory design, and entity resolution across messy enterprise data. This is applied AI in production, at scale, with real users depending on what you build. The field is moving quickly and the team is built to move with it, so the willingness to keep learning counts for as much as what you already know. Where You’ll Fit Within the Team The Full\-stack Engineer builds and ships the product interfaces and backend services that surface Growth AI Performance System’s analytical capabilities to users within a specific product module, marketing ROI, brand strategy, or pricing and commercial analytics. Working under the Tech Lead and alongside the Data Scientist, you will own specific feature areas within the module: the dashboards, workflow tools, scenario interfaces, and output views that Expert Consultants, specialists, and senior client stakeholders use in live commercial engagements. You will work across the platform and product modules focused on marketing ROI, brand or pricing strategy, building interfaces that make complex model outputs navigable, credible, and actionable for professional users who need to act on them quickly and present them to senior client leadership. The users of this product are sophisticated; the interfaces need to be fast, dense, and unambiguous. This role sits at the intersection of product engineering and applied AI delivery. You will integrate the Data Scientist’s model outputs and the AI Engineering team’s agentic capabilities into user\-facing features, working from design specifications produced by the Design Lead and contributing to the engineering standards set by the Tech Lead. Your work is the layer between the platform’s analytical intelligence and the client stakeholders who depend on it. The build lifecycle here is directly connected to real client engagements. Feedback from consulting teams in live deployments flows back into the product, and what you ship in one sprint may be in front of a CMO or Category Director within weeks. You will engage with consulting teams to understand how the product is being used in the field and translate that feedback into engineering improvements. What You’ll Do Building and shipping product features * Build and ship end\-to\-end product features within a Growth AI Performance System module, from design handoff and API integration through to production deployment and maintenance, owning specific interface areas responsible