Lyzr AI

Lyzr is an enterprise AI agent infrastructure platform that enables organizations to build, deploy, and manage reliable, private, and self-learning AI agents tailored to automate entire job functions…

AI AgentsAutomationCloud DeploymentEnterprise AIGenerative AIHybrid AIOrganizational General IntelligenceResponsible AIlyzr.ai

Lyzr AI

AI AgentsAutomationCloud DeploymentEnterprise AIGenerative AIHybrid AIOrganizational General IntelligenceResponsible AIlyzr.ai

HQJersey City, US

Team Size78

Open Jobs14

Total Funding$11M

Latest Fundraise7 months ago

TL;DR

What they do: Enterprise AI agent platform for building, deploying, and managing private, production-ready AI agents and multi-agent workflows

Security & deployment: Supports customer VPC/on-prem deployments with compliance and auditability (GDPR, SOC 2, HIPAA mentioned)

Go-to-market: Platform + professional services (forward-deployed engineers/agent architects) and partner programs

Founding year: 2023

Reported total ~$10.5M–$10.9M across multiple rounds; recent rounds include Seed (Jan 2025) and later mentions of Series A participation

Company Overview

Problem Domain

Automation of complex, regulated enterprise workflows and job functions using agentic AI with compliance and audit trails.

Founded

2023

Industry

Technology, Information and Internet

Tech Stack

Supports multiple LLMs (frontier and open-source)

Hybrid deployment: SaaS / on-prem / customer VPC

Knowledge graph and orchestration components

Funding Track Record

Seed- 2025-01

Crunchbase lists a Seed round in January 2025 led by ZenithCrest

Investor Signal

“ZenithCrest, Artha99 Investment Partners, Benhamou Global Ventures, Rocketship.vc, Accenture Ventures, Partnership Fund for New York City, Firstsource”

Join the Team

Production Support Lead

RemoteBengaluru, Karnataka, IN

Remote • Bengaluru, Karnataka, IN

Professional Services -Service Practice Full-time

Remote (India / US / EU) Experience : 5-8 years

About Lyzr Lyzr.ai's agentic AI platform powers intelligent, autonomous workflows for enterprise clients. Production Support Engineers are the front line that keeps those workflows healthy — triaging incidents, resolving tickets, digging into logs, and escalating the right issues to the right teams before clients feel the pain.

This role suits someone who thrives in a fast-paced technical environment, takes ownership seriously, and genuinely enjoys the detective work of diagnosing why something broke in production. You will work within a global follow-the-sun support model, reporting to the Production Support Lead.

Startup jobs. A lot of them.

Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.

52,000+

Startups

65,000+

Open Roles

1,400+

New This Week

Frontend Developer

ContractManchester, GB

Contract • Manchester, GB

Data Scientist

Full-timeMunich, DE

Full-time • Munich, DE

DevOps Engineer

InternshipMunich, DE

Internship • Munich, DE

Machine Learning Engineer

InternshipTel Aviv

Internship • Tel Aviv

DevOps Engineer

InternshipManchester, GB

Internship • Manchester, GB

AI Researcher

Part-timeMunich, DE

Part-time • Munich, DE

Related Companies

Company	HQ	Industry	Total Funding
Alfa AI	🇬🇧London, GB	Data and AnalyticsDeepTechHR and RecruitingInformation TechnologySoftware	$625K
Origin	🇺🇸New York City, US	DeepTechInformation Technology	-
Donorlytics	🇺🇸Irvine, US	Community and LifestyleData and AnalyticsDeepTechInformation TechnologySoftware	$300K
VECROS	🇮🇳Bengaluru, IN	DeepTechHardwareManufacturing	$284K
Mareana	🇺🇸Princeton, US	Data and AnalyticsDeepTechInformation TechnologySoftware	$644K

Own the full incident lifecycle — detection, triage, war-room coordination, resolution, and post-mortem — for P1/P2 issues across all production tenants.
Act as the primary escalation point for Production Support Engineers; make the call on severity reclassification and client communication timing.
Drive RCA completion within SLA windows and ensure corrective actions are tracked to closure in Jira/Confluence.
Maintain and continuously improve the P1 runbook library, escalation trees, and on-call rotation schedules.

Manage and mentor a team of 3–6 Production Support Engineers; run weekly 1:1s, set KPIs, and own the performance review cycle.
Build and optimise the shift rota for 24x7x365 follow-the-sun coverage across India, EU, and US time zones.
Define and track operational metrics: MTTR, SLA attainment by priority tier, re-open rate, and backlog aging.
Partner with Engineering and Platform teams to advocate for supportability improvements, observability tooling, and bug-fix prioritisation.

Serve as the named support contact for strategic accounts during critical incidents; provide executive-level written updates under pressure.
Review monthly SLA performance reports with client stakeholders; identify systemic patterns and propose proactive remediation.
Contribute to SLA definition in new SOWs, ensuring commitments are operationally deliverable.
Support the renewal and expansion process by demonstrating support maturity and service quality data.

Own the support toolchain: ticketing (Jira Service Management or equivalent), monitoring dashboards, alerting rules, and on-call tooling (PagerDuty / OpsGenie).
Establish knowledge management practices — internal runbooks, known-error database, and a tiered FAQ — to reduce repeat escalations to Engineering.
Define and enforce severity classification criteria and ticket hygiene standards across the team.

Experience : 5–8 years in production/application support; 2+ years in a lead or senior role
Domain: SaaS / AI / ML platform support; ideally agentic or LLM-based systems
Incident mgmt.: ITIL Foundation or equivalent; proven P1 incident commander
Tooling: Jira SM, PagerDuty / OpsGenie, Datadog / Grafana, Confluence
Leadership: Direct team management experience; mentoring junior engineers
Communication: Executive-level written updates under high-pressure conditions

Hands-on familiarity with cloud infrastructure (AWS / GCP / Azure) and container environments (Kubernetes, Docker).
Ability to read logs, traces, and basic Python/SQL to independently diagnose issues before engaging Engineering.
Bonus: experience supporting multi-tenant SaaS at scale, or prior work with AI/ML pipelines in production.
Bonus: familiarity with enterprise client SLA frameworks — P1/P2/P3 tiering, OLA/UC structures.

Lyzr AI

Lyzr AI

TL;DR

Company Overview

Problem Domain

Founded

Industry

Tech Stack

Funding Track Record

Investor Signal

Founders

What we do

Join the Team

Production Support Lead

Startup jobs. A lot of them.

Frontend Developer

Data Scientist

DevOps Engineer

Machine Learning Engineer

DevOps Engineer

AI Researcher

Related Companies