Senior Technical Account Manager

Enboarder; Delhi; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

AptEdge is seeking a Customer Success Engineer focusing on deploying and optimizing AI agent workflows for B2B clients. You’ll configure integrations, tune agent visibility, and author runbooks to ensure customers reach a working, trusted AI workflow. You’ll work across Customer Success and R&D, patching product issues when needed.

Responsibilities include live customer onboarding, product customization, data handling, and coding, with emphasis on enabling adoption, expansion, and renewal.

Qualifications

• 5+ years in solutions, implementation, and backend engineering at a B2B SaaS company.
• Supported an LLM or RAG product that real customers used in production.
• Solid Python and TypeScript, comfortable with a large codebase with engineering collaboration.
• Hands-on experience with enterprise identity (SAML, OAuth2, SSO) and third-party APIs, incl. rate limits, webhooks, eventual consistency, prompt engineering & testing.
• Clear written and spoken English to communicate with customers and IT/engineering teams.
• Availability for customer calls through US working hours; rest of day flexible.
• Experience with cloud and debugging tools such as GCP/AWS, Sentry, PagerDuty.

Responsibilities

• Getting customers live: set up integrations, SSO/SAML, IT and systems administration, and verify integrations.
• Customizing the product: overall setup, prompt engineering, search filters, ranking, formatting, branding, embeds.
• Data understanding and engineering: trace data through pipelines, logs and databases and fix the broken layer.
• Technical Prompt Engineering: develop live LLM-powered workflows and pipelines for technical users.
• Writing some code: build/fix connectors and internal tooling to simplify future customizations.
• Monitoring and optimizing customer health: report usage, identify stalled deployments, and unblock.
• Growing accounts: scope new use cases, discover value, and coordinate with GTM and engineering teams.

Skills

Python

TypeScript

LLM/RAG

English

US hours

Cloud (GCP/AWS)

APIs/webhooks

Tools

Kubernetes

React

Job description

About AptEdge

We build AI agents for B2B technical support. The agent pulls from everything a support org already has (tickets, docs, CRM, chat, bugs, codebase) and works a case the way a good senior engineer would, from investigation to resolution. We live inside the tools support teams already use: Zendesk, Salesforce, ServiceNow, Slack, Jira, Confluence. Backed by top VCs and Founders.

The Role

Every customer we sign has to go from contract to a working, trusted AI agent workflow, and you're the person who gets them there. You'll set up their integrations, tune what the agent can see and say, write the runbooks that tell it how that customer resolves a given class of ticket, and stay close enough afterward to know when something has drifted. Most of that is configuration. Some of it is code, and when it is, you'll write it yourself rather than filing a ticket and waiting. You'll be part of our Customer Success org, because the role is evaluated on whether customers adopt, expand, and renew. You'll also spend time working with the R&D team. When you find something in a deployment that's a product problem and not a config problem, you should be able to walk over and fix it, or at least get it fixed fast.

What You'll Work On

Getting customers live

Setting up integrations, SSO and SAML, IT and systems administration, and checking that what we’re integrated with is actually what they meant to give us. Co-ordinate with customers and admin/IT teams over calls and async to run enablement.

Customizing the product

Overall setup, prompt engineering, search filters, ranking, how answers get formatted, branding, embeds. Whatever it takes to make AptEdge feel native to that customer.

Data understanding and engineering

Sometimes it's the source data. Sometimes it's indexing, a filter, or a prompt. You'll trace it through pipelines, logs, and the database and fix the layer that’s actually broken.

Technical Prompt Engineering

Work on a live LLM powered platform that empowers very technical engineers and agents to deliver business value. Understand data in depth to understand build agentic workflows and pipelines.

Writing some code

Building and fixing connectors, self-service features, ingestion for the odd knowledge sources customers throw at us, and internal tooling so the third time we do a customization it's a setting instead of a project.

Monitoring and optimizing customer health

Reporting on usage and resolution per account, alongside CS. You'll see a stalled deployment before the customer does and know how to unstick it.

Growing accounts

You'll own the technical half of expansion: scoping new use cases, discovering value, empowering business partners, and coordinating with internal go-to-market and engineering teams.

You Need

• 5+ years in solutions, implementation, and backend engineering at a B2B SaaS company
• To have supported an LLM or RAG product that real customers used in production
• Solid Python and TypeScript, and comfort working in a large codebase in collaboration with engineering teams
• Hands-on experience with enterprise identity (SAML, OAuth2, SSO) and third-party APIs, including the ugly parts: rate limits, webhooks, eventual consistency, prompt engineering & testing
• Clear written and spoken English to communicate with customers and IT/engineering teams.
• Availability for customer calls through US working hours. The rest of your day is yours to arrange.
• Experience with cloud and debugging tools such as GCP/AWS, Sentry, PagerDuty, etc.

It Helps If You Have

• Admin or config experience in Zendesk, Salesforce Service Cloud, or ServiceNow
• Direct experience supporting live, production-grade retrieval-augmented generation systems
• Background with Kubernetes or React web applications
• A feel for the commercial side. You know adoption is what drives renewal, and you can tell a customer who’s stuck from one who’s just not using it
• A habit of owning problems from beginning to end, including identifying opportunities to be proactive in support of customer or internal goals.
• Previous working experience as a Support Engineer

How We Work

• Small team, high ownership. Small PRs, and we pair when a problem is hard
• Customer-facing engineers ship code here. Your work goes in the main repo and gets reviewed as per engineering contribution process
• CS and R&D look at the same customer data. You’ll be in both rooms and carry context between them