About the company
MongoDB is built for change, empowering customers and people to innovate at the speed of the market. The unified data platform helps organizations modernize legacy workloads, embrace innovation, and unleash AI.
Responsibilities
- Own the most complex customer engagements and technical workstreams, especially where the problem, solution, or path to production is ambiguous
- Build deep understanding of customer architecture, business goals, constraints, and definition of success
- Act as a trusted technical counterpart to customer's engineering leaders, internal product and engineering leaders, and executive stakeholders
- Lead architectural design for customer-facing solutions and platform capabilities within the FDE domain
- Take ambiguous, high-level problems and turn them into clear technical direction, implementation plans, milestones, and ownership boundaries
- Write and review production-quality code, troubleshoot complex failures, and set a high bar for correctness, maintainability, observability, and operational readiness
- Identify systemic issues in tooling, architecture, or delivery and drive durable fixes
- Use field engagements to surface domain-level patterns, product gaps, and technical risks
- Influence short- to mid-term technical vision for the FDE domain
- Lead focused cross-functional workstreams with Product and Engineering
- Drive consensus on large, abstract, or contentious technical issues
- Create high-quality technical artifacts such as designs, decision logs, and proposals
- Mentor senior engineers and share best practices across teams
- Establish or improve mechanisms, standards, and operating practices
Requirements
- 9+ years of relevant engineering experience, including hands-on work in production systems and complex customer or enterprise environments
- Demonstrated success leading technical domains or initiatives that span multiple teams
- Strong experience designing and implementing production-grade integrations, platforms, or distributed systems in ambiguous environments
- Strong technical judgment, including the ability to balance customer impact, speed, maintainability, and operational risk
- Ability to shape technical direction based on customer and business context
- Willingness and ability to travel up to 30% to customer sites
Preferred qualifications
- Experience with LLMs, agent frameworks, retrieval systems, evaluation frameworks, or deploying AI systems in production enterprise environments
- Prior experience in a forward-deployed engineering role or a similarly hybrid role
- Experience leading multi-team technical initiatives from problem definition through adoption
Conditions
- Hybrid working model based in Gurugram