Engineering Manager

Engineering Manager – B2B SaaS

Location:

Experience:

The Vision

AI-first Agentic Knowledge Cloud

Engineering Manager

What You’ll Do

1. Lead AI & Technical Strategy

• Scalable Infrastructure:

  Own the end-to-end design and deployment of our multi-tenant SaaS platform, ensuring it handles enterprise-grade loads with sub-second latency.

• LLM Orchestration:

  Oversee the integration of LLMs (OpenAI, Anthropic, Llama) using frameworks like

  LangChain or LlamaIndex

  , ensuring optimal RAG (Retrieval-Augmented Generation) performance.

2. Engineering Excellence & Delivery

• Roadmap Ownership:

  Translate product vision into high-impact technical execution plans, balancing "fast-to-market" AI features with long-term architectural debt management.

• System Reliability:

  Move the needle from "bug-free" to "resilient." Own platform uptime, security (SOC2/GDPR compliance), and high-availability systems.

• Post-Implementation Tech Success:

  Ensure the platform scales seamlessly for global enterprise clients post-deployment, acting as the bridge between engineering and technical account management.

3. People & Culture Leadership

• Build a High-Density Team:

  Recruit, mentor, and retain top-tier talent. You will be responsible for building a robust talent pipeline, including a high-performance internship program that feeds into core engineering.

• Foster an AI-First Culture:

  Promote continuous learning in prompt engineering, vector databases, and emerging AI research within the team.

Who You Are

• Experience:

  10+ years in software engineering, with at least

  2+ years in a leadership role

  within a high-growth B2B SaaS environment.

• Modern Tech Stack:

  Deep expertise in

  TypeScript, React, and Node.js

• Data & AI Proficiency:

  Strong grasp of

  PostgreSQL

  and

  Vector Databases

• Hands-on experience or deep conceptual understanding of

  RAG architectures

  and

  Agentic AI frameworks

  .

• Cloud & DevOps:

  Proven experience with

  AWS/OCI

  , CI/CD automation, and monitoring tools.

• The Startup "DNA":

  Previous experience as a founder or an early employee at a VC-backed startup is a significant advantage. You thrive in ambiguity and move with urgency.

Why Knowmax?

• The Frontier of CX:

  Work on the most relevant tech challenge of the decade—making Generative AI work for the enterprise.

• Founding Influence:

  As a core leader, you will have a direct seat at the table with the founders to shape the company’s tech DNA.

• Global Impact:

  Build a product used by thousands of agents across global giants, directly impacting how millions of customers get help.

The Tech Interview Process

1. Introductory Call:

   Alignment on mission and culture.

2. Technical Architecture Deep-Dive:

   A session focused on SaaS scalability and AI/LLM integration strategies.

3. Leadership & People Management:

   How you build teams, handle conflict, and mentor talent.

4. Founder Round:

   Vision alignment and long-term roadmap discussion.