Urwah Admin

Bain & Company

<div>What Makes Us A Great Place To Work
We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor&rsquo;s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don&rsquo;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. 
About Bain AI, Insights &amp; Solutions (AIS)
Bain&rsquo;s AI, Insights &amp; Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You&rsquo;ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted. 
The Impact You&rsquo;ll Have
Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization. 
As an ML-AI Engineer Intern in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries. 
The Role
We are hiring an ML-AI Engineer Intern to help build GenAI and agentic AI applications for enterprise use cases, ranging from rapid proofs of concept (POCs) to MVPs and, where appropriate, scaled production deployments. You will design and implement LLM-driven applications and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely. 
While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability. 
You will have opportunities to work with major AI ecosystem partners through Bain&rsquo;s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings. 
Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time. 
What You&rsquo;ll Do
Build AI applications that drive real business outcomes<ul><li>
Contribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.</li><li>
Support the implementation of agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li><li>
Assist in building robust agent capabilities including context engineering, memory/state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li></ul>
Build and apply data science and machine learning capabilities<ul><li>
Contribute to ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation/testing, and performance analysis.</li><li>
Apply appropriate ML methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li><li>
Develop working knowledge of modern deep learning concepts, including transformer fundamentals and LLM pre-training vs post-training concepts (e.g., instruction tuning, preference optimization).</li></ul>
Engineer for real delivery: POC MVP production
Write clean, testable, maintainable code and ship AI services through the full SDLC: build test deploy monitor<ul><li> iterate.</li><li>
Support implementation of MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.</li><li>
Contribute to evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt/policy optimization.</li><li>
Gain exposure to secure enterprise deployment practices, including access controls, auditability, data handling for sensitive/PII data, and responsible AI guardrails.</li><li>
Contribute to reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li></ul>
Thrive in a consulting environment<ul><li>
Communicate clearly with technical and non-technical audiences; present in working sessions, share recommendations, and help write crisp technical documentation.</li><li>
Support client discussions, demos, and documentation development as part of broader engagement teams.</li></ul>
What We&rsquo;re Looking For (Qualifications)
Educational background<ul><li>
Currently pursuing or recently completed a bachelor&rsquo;s, master&rsquo;s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related quantitative field; or equivalent early-career industry experience.</li><li>
Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions.</li></ul>
Core engineering + AI application skills<ul><li>
0&ndash;2+ years of professional AI / ML engineering experience or equivalent experience through internships, research, academic projects, or industry roles, with strong backend engineering fundamentals.</li><li>
Proficiency in Python and some experience building APIs/services (e.g., REST/gRPC) or comparable project-based experience.</li><li>
Hands-on experience (academic, internship, or industry) building ML or LLM-powered applications, preferably with exposure to delivery considerations such as latency, cost, reliability, or security.</li><li>
Exposure to retrieval/search systems (e.g., hybrid retrieval, vector search, reranking), and familiarity working with structured and unstructured data stores.</li><li>
Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience (academic, internship, or industry) preferred.</li><li>
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.</li></ul> 
Breadth of knowledge across data science and machine learning<ul><li>
Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li><li>
Practical experience with feature engineering and data preprocessing.</li><li>
Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match constraints.</li></ul>
Delivery mindset and consulting skills<ul><li>
Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li><li>
Interest in applying AI to solve real-world business problems in a client-facing environment.</li></ul> 
Working Model &amp; Travel<ul><li>
This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.</li><li>
Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs.</li></ul>
U.S. Compensation Information
For all locations, the good-faith reasonable annualized full-time compensation for this role is commensurate with competitive geographic market rates. Additionally, in some locations compensation may vary based on several factors including, but not limited to relevant experience, education, licensure/certifications, training and skill level.
Compensation for this role in the United States includes a monthly base salary of $9,000 and Bain's best-in-class benefits package (details listed below).
<ul><li>Bain &amp; 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.</li><li>
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 paycheck</li></ul> 
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div>

ML-AI Engineering Intern

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-ranke consulting firm on [1] 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’ll join our Product Management & Innovation experts within the AI, Insights & Solutions (AIS) team, which includes a group of experts in analytics, engineering, product management, user research, and design. Together, we create human-centric solutions that leverage the power of data and artificial intelligence to drive competitive advantage for our clients.
 
WHERE YOU’LL FIT WITHIN THE TEAM
 
As an Expert Senior Manager, Product Management & Innovation, you’ll work on integrated teams alongside our general consultants and clients to lead development of omnichannel solutions across a wide range of industries and problems —defining and evolving the strategic vision with cross-functional teams to deliver impactful, feasible, and client-aligned experiences, products and businesses, and advising on innovation and product strategy. You’ll advise on innovation and product strategy, and are expected to independently lead the work, including defining and owning the workplan, fostering cross-collaboration, managing direct and cross-functional reports, engaging with clients, and overseeing answer/product definition and delivery.
 
You have a passion for designing and developing customer-centric innovative solutions, a foundation in product development, technical aptitude, and a collaborative mindset. With a special focus on driving innovation, you will work closely with engineering, design, and strategy teams to explore emerging technologies, validate new ideas, and guide agile development, while managing senior and multiple stakeholders and preparing and running meetings with senior clients from research and planning to execution. You'll contribute to high-impact, client-facing solutions while building your technical and strategic skills in a fast-paced, experimentation & data-driven environment
 
WHAT YOU'LL DO
 <ul>
<li>Lead Human-Centered Design Strategy and Product Innovation</li>
</ul>
Lead the integration of human-centered design into product strategy, aligning research with business and customer goals. Translate complex user insights, business needs, and technical feasibility into a clear product vision, roadmap, feature map, and development-ready backlog. Lead ideation, journey mapping, and service design workshops to align teams around user-centered solutions. Drive cross-functional collaboration to support prototyping and testing to ensure continuous validation. Drive high-impact, balanced decision-making by applying a strategic lens to balance user needs, reliable tech solutions, business needs, and alignment.
 <ul>
<li>Set Strategy and Lead the Delivery of Proof of Concepts (POCs) and Minimum Viable Products (MVPs), and Products</li>
</ul>
Lead multi-disciplinary teams and clients in tackling business challenges and developing innovative product solutions. Use agile, product/ CX best practices to guide execution and ensure outcomes. Quickly integrate into client environments, building trust and credibility through strategic guidance and strong cross-functional collaboration. Own work planning and execution, ensuring AIS delivers high-quality contributions that align with client goals. Shape actionable, insight-based strategies with measurable impact. Help drive client decisions by identifying and framing key tradeoffs to help teams move forward.
 <ul>
<li>Own Product Planning, Roadmaps, and Execution</li>
</ul>
Lead the development and evolution of product roadmaps, ensuring initiatives align with broader strategic goals. Effectively translate complex technical concepts into clear and non-technical language for all stakeholders. Leverage business and user insights to identify and evaluate potential product roadmap opportunities, articulating associated tradeoffs and mitigating risks throughout the product lifecycle. Prioritize effectively across multiple workstreams and build a development-ready backlog with user stories, mockups, architecture, and acceptance criteria.
 <ul>
<li>Inspire, Align, and Lead Cross-Functional Teams</li>
</ul>
Cultivate a high-performing, collaborative team culture across Bain, clients, and other stakeholders. Ensure alignment across stakeholders through transparency, shared ownership and momentum toward results. Be a visible, influential leader across the AIS team and the broader organization.
 <ul>
<li>Build Capabilities and Drive Thought Leadership</li>
</ul>
Mentor others and lead capability-building across AIS, Bain, and client teams, skill development in human-centered design, agile, technical fluency (e.g., how products are built and scaled), and innovation-driven product management. Maintain a curious and proactive mindset, adopting emerging tools and technologies, such as generative AI, to boost productivity and enhance team outcomes. Help build institutional knowledge within AIS and Bain communities, reinforcing AIS’s role as a center of product and innovation excellence.
 <ul>
<li>Travel expectation: 40-50%</li>
</ul>
ABOUT YOU
 
Required Qualifications
 <ul>
<li>Relevant Bachelor's degree</li>
<li>A minimum of 10 years of experience in product management, with deep expertise in agile methodologies, design thinking, and software development practices</li>
<li>Expert knowledge in the four lenses (feasibility, viability, desirability, strategy) with the ability to manage any lens as needed</li>
<li>Expert in product managing software development, including hands-on experience in AI solutions</li>
<li>Expert in business case building to clearly identify, quantify and frame the potential value of the product/solution</li>
<li>Experience using Gen-AI powered product management and product development tools effectively (i.e., ProductBoard, Jira, Synthetic Users, VoiceOver, Loveable, etc.</li>
<li>Foundational knowledge of agentic AI architectures, including common use cases and end-to-end workflows (e.g., orchestration, tool use, and evaluation)</li>
<li>Expert in design thinking principles and leading cross-functional teams through workshops to cultivate design thinking innovation process</li>
<li>Ability to speak fluently about the technical aspects of the products worked on</li>
<li>Ability to rapidly absorb and interpret technical information, with a deep understanding of modern design and development principles</li>
<li>Deep experience in applying agile and scrum methodologies to lead and scale cross-functional teams</li>
<li>Experience in Lean Startup principles to drive experimentation, validate ideas, and inform product strategy</li>
<li>Strong interpersonal and communication skills, including the ability to explain and discuss approaches and technicalities of solutions with colleagues and clients from other disciplines</li>
<li>Ability to work independently, manage priorities, and collaborate effectively in complex, ambiguous situations, passion for delivering high-impact client results in fast-paced, evolving environments</li>
<li>Curiosity, proactivity and critical thinking</li>
<li>Ability to collaborate with people at all levels and with multi-office/region teams, cross-functional/inter-disciplinary teams including engineers, designers and researchers</li>
<li>Experience leading multiple projects independently and growing and developing more junior product managers</li>
<li>Fluency in English</li>
</ul>
Preferred Qualifications
 <ul>
<li>Relevant Master’s degree in business or technology or related field</li>
<li>Commercial acumen and understanding of business models</li>
<li>Experience working in startups or other entrepreneurial environments</li>
<li>Top-tier consulting experience preferred</li>
<li>Background in architecture/software dev/data pipelines</li>
<li>Experience in product managing the architecting and implementing of AI/tech solutions at an enterprise scale</li>
<li>Solid product management experience, with a history of managing ideation to launch of analytics or ML-driven software, solutions, or services</li>
<li>Experience in product managing the building and deploying ML pipelines into production</li>
<li>Fluency in Arabic</li>
</ul>
References
 
Visible links
 1. https://www.bain.com/about/awards-recognition/

Expert Senior Manager, Product Management & Innovation

<div>WHAT MAKES US A GREAT PLACE TO WORK
We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor&rsquo;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&rsquo;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 
This team considers the full spectrum of people, tech, and process to help others at Bain achieve their goals. We aim to understand our partners in the business so well that our proposed architectures, apps, and automations really do improve their work lives. If you&rsquo;re the sort of person who embraces change, who has an entrepreneurial spirit, and who friends and family still call for tech advice, this might be a great team for you. 
WHERE YOU'LL FIT WITHIN THE TEAM 
The Director ultimately owns the success of the product line, ensuring benefits are delivered back to the business. This role splits time between evaluating new requests, managing execution of existing requests, and supervising the overall team. 
WHAT YOU'LL DO 
Product Planning &amp; Stakeholder Engagement<ul><li>
Design overall product line values and experience to be utilized by product managers in creating their visions</li><li>
Owns intake process for new work affecting multiple product groups within an area</li><li>
Prioritizes cross-product initiatives using business value framework</li><li>
Develops overall business case for the work, creating compelling arguments to persuade senior stakeholders while taking all inputs into account</li><li>
Makes and executes key decisions on product strategy and direction</li><li>
Elevates potential &lsquo;backlog breaking&rsquo; requests or urgent prioritization concerns to senior leadership as needed</li></ul> 
Execution Level Management<ul><li>
Manage vendors - Evaluate new vendors, identifying red flags early, engaging in contract negotiation, and ultimately holding vendors accountable</li><li>
Evaluates tradeoffs, removes roadblocks, and makes critical decisions at scale, across several products</li><li>
Leverage insights across domains, based on insights and prior experience</li><li>
Anticipate and proactively approach operational challenges with products within the area of responsibility</li></ul> 
Team Management<ul><li>
Directly manage a team who may then in turn manage others. Ensure team culture creates a positive work experience for all team members</li><li>
Ensure full teams' continued professional development including identifying development opportunities, coaching/mentoring all levels of the organization, reviewing skill plans, suggesting trainings and the writing and delivery of consensus reviews</li><li>
Perform capacity planning to inform and recommend evolving team shape and size, skill development, out-sourcing opportunities</li></ul> 
ABOUT YOU<ul><li>
Experience owning outcomes across a portfolio of products or initiatives with significant business impact</li><li>
Experience setting product direction and making prioritization decisions at an organizational level, balancing strategy, delivery capacity, and business outcomes</li><li>
Experience leading and developing managers and senior individual contributors, with accountability for performance and results</li><li>
Experience partnering with executive stakeholders to frame decisions, align priorities, and drive progress on complex initiatives</li><li>
Experience operating within Agile environments at scale, guiding planning, delivery, and continuous improvement across teams</li><li>
Bachelor&rsquo;s degree or an equivalent combination of education, training and experience</li></ul> 
This role follows a hybrid model, requiring in office presence at least 1 days per week 
U.S. COMPENSATION INFORMATION
Compensation 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&rsquo;s best in class benefits package (details listed below). 
Some local governments in the United States require a good-faith, reasonable salary range be included in job postings for open roles. For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level 
In Illinois, the good-faith, reasonable annualized full-time salary range for this role is between $196,000 - $235,250 placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level 
In Massachusetts, the good-faith, reasonable annualized full-time salary range for this role is between $204,750 - $245,750 placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level 
<ul><li>
Annual discretionary performance bonus</li><li>
This role may also be eligible for other elements of discretionary compensation</li><li>
4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date</li></ul>
Bain &amp; 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 paycheck 
<ul><li>
Generous paid time off, including parental leave, sick leave and paid holidays</li><li>
Fully vested 401(k) company contribution</li><li>
Paid Life and Long-Term Disability insurance</li><li>
Annual fitness reimbursements</li></ul></div>

Talent Product Strategy Director

Join Bain & Company and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Bain & Company

About Company

ML-AI Engineering Intern

Expert Senior Manager, Product Management & Innovation

Talent Product Strategy Director