Senior Forward Deployed Engineer

Posted Yesterday
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Gurugram, Haryana, IND
Hybrid
Senior level
Big Data • Cloud • Software • Database
MongoDB empowers innovators to create, transform, and disrupt industries by unleashing the power of software and data.
The Role
Own technical outcomes for enterprise customers: design, build, deploy, and troubleshoot integrations and production solutions. Serve as primary technical owner from discovery to rollout, capture product feedback, and partner with product and engineering to turn field patterns into reusable capabilities. Communicate across technical and executive stakeholders and travel to customer sites as needed.
Summary Generated by Built In

Senior Forward Deployed Engineers (FDE) sit at the intersection of enterprise customer environments and a fast-moving internal product. They partner directly with customers to design, build, troubleshoot, and improve production solutions, and they are ultimately accountable for helping customers get to production.

This role is best suited for engineers who want to own technical outcomes end to end: understanding what a customer is trying to build, shipping the integration, and feeding learnings back into the product roadmap.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Responsibilities

Customer success

  • Serve as the primary technical owner for customer engagements from initial discovery through production rollout
  • Understand each customer's architecture, constraints, and definition of success, and drive toward that outcome
  • Manage expectations, communicate risks clearly, and help customers navigate technical decisions with confidence

Technical integration

  • Build the connectors, pipelines, and supporting tooling needed to make the platform work inside real enterprise environments
  • Write production-quality code, troubleshoot issues, and implement fixes directly in active workstreams
  • Work effectively within customer environments that have different stacks, infrastructure, and integration constraints

Product feedback loop

  • Capture product feedback with precision, including logs, reproduction steps, and a clear proposed path forward
  • Use customer engagements to identify product gaps, surface recurring patterns, and help improve the product roadmap
  • Document technical decisions and tradeoffs clearly so product and engineering teams can extend the work

Workstream collaboration

  • Partner closely with product and engineering teams to help turn field patterns into reusable product capabilities
  • Contribute directly in focused workstreams by helping drive technical design, implementation, and delivery
  • Make sound engineering decisions under pressure while building and iterating quickly

Engagement management

  • Coordinate independently across internal teams and customer stakeholders to keep delivery moving
  • Communicate clearly across technical, business, and executive audiences
Qualifications
  • 5 - 8 years of engineering experience required
  • Hands-on production engineering experience, including writing code, debugging failures, and implementing fixes directly
  • Engineering experience in AI and agentic development
  • Experience with developing and deploying software within enterprise environments
  • Experience shipping production solutions at scale that customers relied on
  • Experience building integrations across existing systems and infrastructure
  • Strong troubleshooting and code review skills, including the ability to identify root causes and drive resolution
  • Willingness and ability to travel up to 30% to customer sites as needed for on-site engagements, technical reviews, and presentations
Preferred qualifications
  • Experience with LLMs, agent frameworks, or deploying AI systems in production
  • Prior experience in an FDE or similar forward-deployed engineering role
About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 2273506587

Skills Required

  • 5 - 8 years of engineering experience
  • Hands-on production engineering experience (writing code, debugging, implementing fixes)
  • Engineering experience in AI and agentic development
  • Experience developing and deploying software within enterprise environments
  • Experience shipping production solutions at scale relied on by customers
  • Experience building integrations across existing systems and infrastructure
  • Strong troubleshooting and code review skills, ability to identify root causes and drive resolution
  • Willingness and ability to travel up to 30% to customer sites
  • Based in Gurugram for hybrid working model
  • Experience with LLMs, agent frameworks, or deploying AI systems in production
  • Prior experience in an FDE or similar forward-deployed engineering role

What the Team is Saying

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MongoDB Compensation & Benefits Highlights

  • Parental & Family Support Parental leave is set at 20 weeks paid and gender‑neutral (generally after one year of service), alongside 90% reimbursement for fertility, adoption, or surrogacy costs up to $50,000. Backup child/elder care via Care.com and parenting support (e.g., Cleo) add depth to family coverage.
  • Healthcare Strength Medical, dental, and vision options are broad, with some plans listing $0 employee‑only premiums, HSA contributions, and a free One Medical membership. Mental health resources include Spring Health (with therapy visits), an EAP, and a trained Mental Health First Aid network.
  • Equity Value & Accessibility Total rewards commonly include RSU equity grants and an Employee Stock Purchase Plan, creating meaningful ownership opportunities. Multiple role descriptions and benefits pages emphasize equity as a core component of compensation.

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The Company
HQ: New York, NY
5,550 Employees
Year Founded: 2008

What We Do

The database market is big. How big? Well, according to IDC, it’ll reach $153 billion by 2027. And MongoDB is at the forefront of that innovation with thousands of customers across the globe. We empower developers and businesses to build and deploy the applications they want, wherever they want.

Why Work With Us

We are ambitious. We are passionate about creativity. And we believe the best paths are the ones we have yet to forge.

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MongoDB Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

MongoDB provides multiple working model options for our employees, including the flexibility to work from home to opportunities for collaboration and social interaction in a MongoDB office.

Typical time on-site: Flexible
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