Director, Product Management - Agentic Core Platform & Interface

General Information Job Title Director, Product Management - Agentic Core Platform & Interface Job ID 111269 Work Areas Technology & Engineering Employment Type Permanent Full-Time Location(s) Boston, Chicago, London, Sao Paulo, Warsaw Description & Requirements WHAT MAKES US A GREAT PLACE TO WORKWe are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the number one consulting firm on Glassdoor's Best Places to Work list and have maintained a spot in the top four since its founding in 2009. Extraordinary teams are at the heart of our business strategy, but these do not 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 WITHYou 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 product managers who see how to make a product 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 platform architecture tradeoffs, roadmap prioritization across product modules, and data problems with no off-the-shelf answer. Experience with agentic systems matters: enough technical fluency to hold a conversation with a senior AI engineer without needing translation, and to make credible calls at the intersection of product strategy and platform architecture. 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 TEAMThe Product Manager for the Agentic Core and Interface owns the product direction for the shared platform that the entire Growth AI Performance System suite is built on. This is not a module-level PM role: you are not shipping features for one product. You are defining the roadmap for the central intelligence layer: the agentic workflows, retrieval and knowledge pipelines, evaluation infrastructure, design system, and interface components that marketing ROI, brand strategy, and pricing and commercial analytics modules all depend on. What you prioritize shapes what every product team can build.You will work across the platform and product modules focused on marketing ROI, brand or pricing strategy, sitting at the point where platform capability meets product need. You will translate the requirements of three module teams into a coherent platform roadmap, make the prioritization calls that allow the platform to scale without fragmenting, and hold the product vision for what the Agentic Core should be capable of twelve months from now and why.This role requires a rare combination: deep enough technical fluency to make credible architecture-adjacent product decisions alongside the Tech Lead, deep enough commercial fluency to represent the platform's capabilities to senior client stakeholders, and deep enough user empathy to understand what Expert Consultants actually need when they are in a room with a CMO making a commercial decision. You will be the person who connects all three.The build lifecycle here is directly connected to live client deployments. Feedback from consulting teams in the field flows back to you, and you are responsible for deciding what it means for the roadmap. You will engage directly with senior client stakeholders, presenting the platform's direction, understanding their requirements, and using that to inform what gets built next. The pace is fast, the decisions are consequential, and the product compounds in value with every sprint.WHAT YOU’LL DOProduct strategy and roadmap ownershipOwn the product roadmap for the Growth AI Performance System Agentic Core and Interface, defining the 6-12 month vision, making the prioritization decisions that balance immediate module team needs against long-term platform scalability, and holding accountability for roadmap delivery alongside the Tech LeadTranslate the requirements of three product module teams (marketing ROI, brand strategy, and pricing and commercial analytics), into a coherent platform backlog: identifying shared needs, building reusable platform capabilities rather than module-specific solutions, and managing the prioritization tensions that arise when three teams need different things from the same platformDefine what the Agentic Core needs to be capable of to support the next generation of client deployments: what agentic workflows need to be built, what retrieval and knowledge capabilities need to be added, what evaluation infrastructure needs to mature, and in what order: with clear rationale grounded in both client need and technical feasibilityMake clear, defensible prioritization decisions at pace: balancing the immediate requirements of live client deployments against the longer-term platform build, and communicating those decisions and their rationale clearly to engineering, product module teams, and practice leadershipOwn the product documentation that the platform runs on: feature specifications, API requirements, interface standards, evaluation criteria, and the onboarding materials that allow new engineering team members to contribute effectively from day oneDiscovery, research and client deploymentRun structured discovery with Expert Consultants, field specialists, and senior stakeholders to understand how the Agentic Core and Interface are being used in live engagements, where they create value, where they create friction, and where they need to evolve to keep pace with the commercial problems clients are bringing to the practiceDefine and track the metrics that tell you whether the platform is working not just delivery metrics but impact metrics: whether the platform is making consulting teams faster, whether it is producing outputs clients trust, and whether it is compounding in value across engagements as it shouldLead the deployment process for new Agentic Core capabilities: defining what readiness means, coordinating across engineering, and consulting teams to ensure deployments land well, and owning the feedback loop that turns deployment experience into product improvementValidate product direction through prototype testing and structured research with real users; bring the voice of the Expert Consultant and the client into every major product decision before it becomes a sprint commitmentStakeholder managementEngage directly with senior stakeholders to understand their commercial requirements, present the platform's direction and capabilities, and build the trust that makes clients willing to depend on the platform in high-stakes commercial decisionsAct as the product voice in stakeholder sessions alongside the Tech Lead and consulting team leadership: presenting what the product can do today, what it will be capable of in the next release, and why the roadmap is sequenced the way it isManage the stakeholder relationships that determine whether the platform gets the resources, support, and access it needs to scale: practice leadership, case team leadership, client technology and innovation leaders, and the broader Bain technology and product organizationCommunicate product direction and delivery status clearly and consistently across all stakeholders: from sprint review updates for the engineering team through to quarterly roadmap presentations for practice and firm leadershipMay take on direct management responsibilities depending on business needs, including leading recruiting efforts, making hiring decisions, and owning the onboarding of new team membersABOUT YOUExperience10 or more years in product management roles, with significant experience on AI-powered, data platform, or developer-facing products, including:Direct product leadership experience leading teams, including teams delivering AI/ML-enabled features or products, and direct management experience where the role includes direct reportsTrack record of owning a platform or shared infrastructure product roadmap, making the prioritization calls that serve multiple downstream teams while maintaining a coherent long-term visionDirect experience in client-facing or consulting-adjacent product environments where product decisions must survive contact with real commercial problems and real senior stakeholdersTechnicalDeep technical fluency in AI and agentic systems: able to make credible product decisions at the interface of product strategy and platform architecture, understand the engineering tradeoffs that underpin roadmap choices, and hold a technically informed conversation with a senior AI engineer without needing translationExperience as a PM on AI-powered, developer-facing, or data platform products; strong understanding of what it means to build a shared platform that multiple product teams depend on, and the prioritization discipline that requiresStrong data literacy: able to define the metrics that matter for an AI platform, interpret analytical outputs honestly, and use data to inform product decisions rather than to justify decisions already madeExperience with agentic AI systems, LLM-powered applications, or advanced analytics platforms (as a PM, a builder, or a close technical collaborator), sufficient to understand what is hard, what is fast, and what is not yet possibleFamiliarity with the commercial analytics domains the platform serves (marketing ROI and media measurement, brand and consumer analytics, pricing and revenue growth management), sufficient to understand what clients are trying to do and why the platform's outputs matter to themStrong product craft: able to write precise, unambiguous feature specifications, define clear acceptance criteria, run structured discovery, and produce the documentation that allows a fast-moving engineering team to build without repeated clarificationNative AI fluency: active use of AI-assisted tools across research, documentation, synthesis, and prototype development; demonstrated commitment to staying current as the field movesExperience with agile delivery: sprint planning, backlog grooming, retrospectives, and the discipline to make prioritization decisions at pace without losing strategic coherenceU.S. COMPENSATION INFORMATIONCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below).Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:In Massachusetts, the good-faith, reasonable annualized full-time salary range for this role is between $204,750 - $245,750In Illinois, the good-faith, reasonable annualized full-time salary range for this role is between $196,000 - $235,250Annual discretionary performance bonusThis role may also be eligible for other elements of discretionary compensationBenefits:4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start dateBain & Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheckGenerous paid time off, including parental leave, sick leave and paid holidaysFully vested 401(k) company contributionPaid Life and Long-Term Disability insuranceAnnual fitness reimbursements Go back