Forward Deployed Engineering - Lead

GreyLabs; Bengaluru; On-site; INR 2,400,000 - 6,000,000; Full time

Job summary

GreyLabs AI in Bengaluru is seeking an FDE Lead to own strategic enterprise deployments and shape the forward deployment function. This player-coach role combines hands-on execution with mentorship of FDEs and close collaboration with banking ops, CTO offices, and product teams.

You’ll drive deployments end-to-end, lead architecture discussions, and own customer relationships while identifying scalable improvements for future engagements.

Qualifications

• 5-8 years of experience in technical roles with significant customer-facing delivery experience (forward deployment, solutions engineering, implementation leadership, or tech consulting).
• Experience owning complex enterprise accounts and technical deployments end-to-end.
• Strong Python skills with hands-on experience in REST APIs, webhooks, authentication patterns, data pipelines.
• Comfortable presenting to enterprise stakeholders from engineers to ops leads; align customer asks with needs.
• Proven ability to improve delivery times with reusable frameworks or playbooks.
• Experience mentoring technical ICs/FDEs and helping them grow.
• Strong ownership mindset; accountable for customer outcomes across strategic accounts.

Responsibilities

• Take end-to-end technical ownership of high-value, strategic enterprise accounts.
• Act as the senior technical contact for key customers across banks, insurers, NBFCs, and fintechs.
• Lead architecture, integration discussions, workshops, solution reviews, and executive-level conversations.
• Build relationships with CTO offices, engineering teams, and business leaders.
• Translate customer problems into scalable technical solutions and drive deployments from design to production.
• Participate in pre-sales conversations where technical depth is required.
• Own customer escalations and drive resolution with trust and long-term relationships.
• Mentor FDEs on problem-solving, solution design, and deployment execution.
• Develop reusable assets like playbooks and reference architectures to speed future deployments.

Job description

FDE Lead – Forward Deployed Engineering

About GreyLabs AI

GreyLabs AI is building the voice operating system for India’s BFSI ecosystem. Our Agentic Voice AI platform helps banks, insurers, NBFCs, and fintechs automate and humanize millions of customer conversations across sales, collections, customer service, and compliance in multiple Indian languages.

In under two years, we’ve scaled to 75+ BFSI enterprise clients including RBL Bank, AU Small Finance Bank, IDFC FIRST Bank, SBI Life Insurance, ICICI Prudential Life Insurance, and Motilal Oswal Financial Services, processing hundreds of millions of conversations. We recently raised ₹85 Crores in Series A funding led by Elevation Capital and Z47.

The Role

We’re hiring an FDE Lead to own strategic enterprise deployments and help shape the forward deployment function at GreyLabs AI.

This is a player-coach role where you’ll lead complex customer engagements, act as the senior technical point of contact for strategic accounts, and mentor FDEs on technical execution and customer management.

You’ll work closely with banking ops leaders, CTO offices, product heads, Engineering, Product, Sales, and Customer Success to drive deployments from solution design through go-live and production.

The role demands strong technical depth, customer ownership, mentoring ability, and the commercial instinct to understand what enterprise customers actually need and translate that into scalable solutions.

What You’ll Do

Own Strategic Enterprise Accounts

• Take end-to-end technical ownership of high-value, strategic, and complex enterprise accounts.

• Act as the senior technical point of contact for key customers across banks, insurers, NBFCs, and fintechs.

• Lead architecture and integration discussions, technical workshops, solution reviews, and executive-level customer conversations.

• Build strong relationships with CTO offices, engineering teams, business heads, operations leaders, and product stakeholders.

• Understand customer business problems and translate them into scalable technical solutions.

• Drive complex deployments from requirement discovery through integration, go-live, and production stabilization.

• Participate in pre-sales conversations where technical complexity, integrations, or enterprise requirements warrant senior involvement.

• Own customer escalations and drive them to resolution while maintaining trust and long-term relationships.

Mentor and Enable FDEs

• Mentor FDEs on technical problem-solving, customer communication, solution design, and deployment execution.

• Review solution approaches, architecture decisions, and integration designs before implementation or go-live.

• Coach FDEs through complex customer situations and technical escalations.

• Share learnings from strategic accounts to improve how the broader FDE team approaches similar deployments.

• Raise the technical and execution standards across the FDE function without becoming a bottleneck for the team.

Systematize What Works

• Reduce time-to-go-live across the portfolio by identifying recurring friction points in every implementation and fixing the root cause - not just the instance.

• Build reusable assets that make the team faster without cutting corners: integration playbooks, reference architectures, implementation templates, internal tooling.

• Establish clear delivery standards, milestones, review mechanisms, and escalation criteria.

• Identify patterns across strategic accounts and turn them into repeatable deployment practices.

Close the Loop with Tech

• Turn field patterns into product input. Individual FDEs surface insights; you make sure those insights are prioritized, structured, and acted on.

• Identify where platform gaps are slowing deployments and advocate for fixes that improve every future deployment, not just the current one.

• Partner closely with Product and Engineering to influence platform improvements based on real customer needs.

Stay Technical When It Matters

• Review customer integrations before they go live, weigh in on architectural decisions where the stakes are high, and write code when the situation genuinely calls for it.

• Be the person who can read a production issue, understand what broke and why, and make a judgment call - not just escalat

• Stay hands-on with APIs, integrations, data flows, workflows, and production troubleshooting.

What We’re Looking For

Must-Haves

• 5-8 years of experience in technical roles, with a meaningful portion in customer-facing delivery - forward deployment, solutions engineering, implementation leadership, or technical consulting.

• Experience owning complex enterprise accounts and technical deployments end-to-end.

• Strong Python skills and hands-on experience with system integration: REST APIs, webhooks, authentication patterns, data pipelines - you can review an integration design and spot the problem before it reaches production.

• Comfortable in front of enterprise stakeholders at multiple levels - from engineering teams to business ops leads - and experienced enough to know that what the customer asks for and what they need are often different things.

• Track record of improving delivery: reduced onboarding timelines, reusable frameworks, or repeatable processes you built that made a team faster, not just a single engagement better.

• Experience mentoring technical ICs/FDEs and helping them develop their technical and customer-facing capabilities.

• Strong ownership mindset - you hold yourself accountable for customer outcomes across strategic accounts, not just individual tasks.

Strong Signals

• You’ve led complex FDE, implementation engineering, solutions, or customer engineering engagements - ideally at a SaaS company deploying into enterprise environments with real integration complexity.

• You’ve been the senior technical owner for strategic enterprise accounts , managing ambiguity and driving outcomes across multiple stakeholders.

• You’ve been the senior technical voice in a customer escalation, held the relationship, resolved the issue, and come out with more trust than you went in with.

• You’ve built something field-specific - a playbook, a reusable integration, an internal tool - that measurably improved the team’s next five engagements.

• You’ve mentored engineers/FDEs and helped them independently handle increasingly complex technical and customer situations.

• You understand BFSI - not necessarily as a domain expert, but enough to move quickly in environments where compliance, data sensitivity, and enterprise procurement timelines are real constraints.

• You find voice AI, conversational systems, and real-time customer interaction infrastructure genuinely interesting - not just a category you’ve landed in.

Why GreyLabs AI?

• Work at the intersection of AI, voice, and enterprise technology.

• Own high-impact customer deployments from solutioning to production.

• Work across Engineering, Product, Solutions, Sales, and Customer Success.

• Build scalable systems rather than simply solving individual customer problems.

• Work with 75+ BFSI enterprise clients and production AI systems operating at significant scale.

We’re committed to creating a fair, respectful, and inclusive workplace. From hiring to growth opportunities, our decisions are based on merit, skills, and potential, never on gender, identity, background, or any other personal characteristic. Talent has no labels here, and everyone is welcome to grow and thrive with us.