Staff Engineer I Software Engineering

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, a champion of diversity and a model of social responsibility. We are currently #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four on Glassdoor’s list since its founding in 2009. 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. 

Coro is Bain’s persistent product development and engineering organization serving the firm’s digital solutions across Commercial Excellence (B2B) and the newly established Demand Generation Suite (B2C). Coro brings together technology, data, and services to build and operate proprietary solutions that create differentiated value for Bain’s clients and case teams.

This role sits within the newly established B2C pillar of Coro, building the technical foundation for Artemis – Bain’s AI-driven marketing and commercial investment allocation platform, and one of three products in the Demand Generation Suite.

WHERE YOU’LL FIT WITHIN THE TEAM

The Staff Engineer I role is a full stack engineering position that builds end-to-end product features across the Artemis backend (Python/FastAPI) and frontend (React/TypeScript), ensuring the platform's user-facing capabilities are functional, reliable, and usable by consultants and clients in live engagements. Full Stack Engineers own specific feature areas within Artemis and the broader Demand Generation Suite product workstreams and are responsible for both the API layer and the React components that surface those capabilities to users. For Artemis, this includes the marketing mix model configuration interface, channel allocation dashboards, scenario planning tools, and client-ready output views.

This is a delivery-focused engineering role. The ability to ship complete, tested features independently — without waiting for a backend or frontend specialist to hand off — is the core contribution. Additional responsibilities include participating in support and operations by identifying system defects, leading troubleshooting efforts, directing code deployments, and mentoring junior engineers. 

WHAT YOU’LL DO

• Own and implement complete features spanning backend API logic and React frontend components for Artemis product areas. Take features from specification through to tested, deployed code across both layers.
• Build and maintain backend routes for assigned product areas, ensuring request/response contracts are documented, versioned, and tested. Keep TypeScript type contracts on the frontend in sync with backend changes.

• Build and maintain React components using the shared Demand Generation Suite design system, with a focus on marketing analytics interfaces: channel allocation dashboards, scenario comparison views, model configuration workflows, and executive-ready recommendation outputs.
• Write and maintain database queries, schema migrations, and data access logic for Artemis data models. Optimize for the data volumes and access patterns typical of marketing analytics engagements.

• Maintain and extend the backend and frontend test suites. Ensure new features ship with adequate test coverage and do not degrade existing functionality.
• Participate in structured feedback sessions with Artemis Expert Consultants and go-to-market-aligned specialists to understand how tools are being used in live engagements, and translate that feedback into concrete improvements in subsequent sprints.
• Strong interpersonal skills, able to work across all levels of the organization.
• Support team in recruiting activities (resume screening, interviews, etc.).

• Drive innovation through out-of-the-box thinking to solve critical business challenges and demands.
• Participate in technical discovery, POCs, and innovation workstreams to validate new tools, technologies, and designs.
• Investigate and keep up-to-date on emerging data, AI, and agentic technologies and trends; lead knowledge sharing.
• Entrepreneurial spirit, willing to try new approaches.

ABOUT YOU

• Proficient in Python (FastAPI or equivalent async framework) for backend API development.
• Proficient in React and TypeScript in a production single-page application context, including state management patterns, data fetching, and TypeScript type safety.
• Strong CSS skills and experience working with component libraries and design systems.
• Strong hands-on experience and knowledge of relational databases: schema design, SQL, migration writing, and query debugging.
• Experience with data visualization libraries (e.g. Recharts, D3.js, or equivalent) for building chart-heavy analytics interfaces, including time series, waterfall charts, and allocation comparisons, is a strong advantage.
• Familiarity with AI coding tools (Cursor, Claude Code, Codex) to speed up development.
• Experience leading and mentoring engineering teams in a fast-paced Agile environment.
• Results-driven, with an analytical, creative, and proactive mindset.

• Associate/Bachelor's degree or an equivalent combination of education, training and experience.

• 5-8+ years of experience building full-stack web applications.
• Track record of delivering in an Agile environment.
• Strong troubleshooting and issue resolution skills.
• Strong communication and presentation skills, including documenting complex design and processes for long-term support & maintenance.
• Experience working with marketing, media, or advertising data, including familiarity with marketing mix modelling (MMM) inputs such as spend, channel, and campaign data, and how these are structured and used in analytics or measurement workflows, highly preferred.
• Experience building scenario planning or what-if interfaces where users adjust inputs and see modelled outputs update in real time is a strong advantage