ABOUT THE ROLE:

At Credgenics, the Forward Deployed Engineer Manager is not a support role — it is a builder and leadership role. You will lead the team that takes our Voice AI platform into the real world, navigates the complexity of enterprise environments, and makes it work where it counts. You will own outcomes for your team's portfolio of accounts, not tickets. If you thrive in ambiguity, love building high-performing teams, and can ship production-ready AI systems fast — this role is for you.

WHAT YOU WILL DO:

Lead and Grow the Forward Deployed Team

- Act as Team Manager for a pod of Forward Deployed Engineers — hiring, coaching, and developing talent
- Set priorities across concurrent client deployments and allocate engineers based on account complexity and urgency
- Run regular 1:1s, performance reviews, and career development conversations with direct reports • Build a culture of ownership, speed, and craftsmanship within the team

Lead Client Engagements from Day One

- Serve as the primary technical and escalation owner for new enterprise clients from initial onboarding through full deployment
- Conduct deep discovery to uncover real business workflows, data constraints, and operational edge cases
- Convert ambiguous requirements into clear, scoped Voice AI solutions ready for production

Build and Deploy Voice AI Solutions

- Architect and build Voice AI agents tailored to each client — including dialogue design, prompt engineering, and fallback handling
- Set up and configure language models, voice profiles, speech recognition, and third-party integrations
- Run rapid iterations driven by live call data, outcome metrics, and direct user feedback

Deliver to Production, Quickly

- Take recent use cases from kickoff to live deployment in days — not weeks
- Monitor agent and team performance in production, identify failure patterns,



and continuously improve outcomes
- Drive account expansion by demonstrating measurable ROI at each stage of the client journey

Be the Face of Credgenics with Customers

- Lead client calls, technical walkthroughs, and live demonstrations with confidence
- Communicate AI capabilities, system behaviour, and trade-offs clearly to both technical and business stakeholders
- Build long-term client trust through responsiveness, ownership, and consistent delivery
- Represent the team in escalations and executive-level client conversations

Feed Insights Back into the Product

- Spot recurring patterns across deployments and surface them as product improvement opportunities
- Collaborate with Engineering and Product to help decide what gets built into the platform vs. stays custom
- Contribute to improving deployment tooling, monitoring, and repeatability based on real-world usage

WHAT WE'RE LOOKING FOR:

- Builder and manager mindset: Owns outcomes fully for self and team — from problem identification to production delivery
- People leadership: Experience managing, mentoring, or leading a team of engineers in a fast-paced, customer-facing environment
- Thrives in ambiguity: Comfortable making sharp decisions with limited context and tight timelines • AI & prompting depth: Skilled at designing, testing, and refining AI conversations that work in the real world
- Client-facing maturity: Can lead enterprise calls, set expectations, and navigate complex stakeholder dynamics
- Technical range: Fluent in APIs, system integrations, voice infrastructure, and debugging production failures
- Execution under pressure: Capable of overseeing multiple concurrent deployments across the team without dropping quality or speed
- Experience: 4–8 years in technical deployment, AI implementation, solutions engineering, or a similar hands-on role, including experience leading or managing a team

📌 Manager - FDE (Noida)
🏢 Credgenics
📍 Noida