AI Jobs

Benefits:

• Work on high-impact initiatives that directly influence company growth

• Own systems and processes with the autonomy to make decisions

• Be part of a fast-paced environment that values speed, learning, and execution

• Contribute to a mission-driven company building AI agents

• Collaborate with a sharp, driven, and supportive team

Experience Requirements:

• 2+ years of experience in marketing operations or analytics roles

• Proven HubSpot expertise

Other Requirements:

• Strong analytical skills with a data-first mindset

• Fluency in building dashboards using Sheets, Excel, or BI tools

• Excellent communication skills

• A bias for ownership and action

• A collaborative mindset

Responsibilities:

• Manage and own HubSpot as the central CRM and marketing automation platform

• Monitor and optimize the entire funnel from lead generation to closed deals

• Develop and maintain dashboards and decks for performance communication

• Oversee website integrations such as Cal.com

• Act as the operational bridge between marketing and sales

Benefits:

• Work directly with founders and senior leaders

• Build in one of the fastest-moving spaces in enterprise AI

• Real ownership. Real impact. No layers.

• Opportunity to shape your role as the company scales

Experience Requirements:

• Have worked in startups (0→1 or 1→10 scale)

• Have exposure to AI, SaaS, or enterprise workflows

Other Requirements:

• High ownership and bias for action

• Comfort working in fast-moving, ambiguous environments

• Strong problem-solving ability

• Clear communication and structured thinking

• Deep craft in your area of expertise

Responsibilities:

• Meaningfully accelerate Lyzr’s journey

Benefits:

• Real ownership early in your career

• Direct exposure to founders and senior leadership

• Opportunity to build systems — not just maintain them

• A fast-growing startup where your ideas won’t sit in a doc

• A culture-first environment that values ambition and execution equally

Experience Requirements:

• 1–3 years in HR Operations

Other Requirements:

• Strong process orientation and obsessive attention to detail

• Clear communicator with strong organizational skills

• Comfortable in fast-paced, evolving environments

• High ownership. High energy. Zero drama.

• Genuinely excited about culture, people, and building from 0 → 1 → scale

Responsibilities:

• Run day-to-day HR operations like a machine

• Manage the employee lifecycle end-to-end

• Maintain clean, accurate employee data across systems

• Support policy rollouts, benefits administration, and statutory compliance

• Drive employee engagement initiatives that actually move the needle

Education Requirements:

• Final-year student or recent graduate

Other Requirements:

• Deeply organised and detail-obsessed

• Strong written communicator

• High ownership mindset

• Curious about startups and high-performance cultures

• Comfortable working in ambiguity

Responsibilities:

• Coordinate interviews across teams and time zones

• Drive candidate communication end-to-end

• Maintain ATS hygiene and hiring dashboards

• Build structured onboarding journeys

• Support team rituals and engagement initiatives

Benefits:

• Competitive salary

• Health Insurance

• Paid leave on Birthday and Anniversary

• Pick up & drop facility available (30Km in and around)

• Opportunity to learn from top industry leaders

Experience Requirements:

• Fresher

Other Requirements:

• Ability to handle disputes

• Ability to perform under pressure

• Adaptable and flexible

• Excellent written and verbal communication

• Ability to work in rotational shifts

Responsibilities:

• Solve routine problems through precedent and referral

• Handle customer queries and enhance satisfaction

• Manage interaction with current and potential customers

• Maintain robust common integration framework

• Individual contributor as a part of a team

Benefits:

• Competitive salary

• Health Insurance

• Paid leave on Birthday and Anniversary

• Pick up & drop facility available (30Km in and around)

• Opportunity to learn from top industry leaders

Education Requirements:

• Bachelor’s or master’s degree in BBA, B.Com, or M.Com

• Minimum 60% aggregate with no backlogs

Experience Requirements:

• Fresher

Other Requirements:

• Skill in Record to Report / Procure to Pay / Order to Cash

• Financial Consolidation & Close Operations knowledge

• Ability to work rotational shifts (day & night)

• Ability to handle disputes and perform under pressure

Responsibilities:

• Analysis and solving of lower-complexity problems

• Day-to-day interaction with peers before updating supervisors

• Individual contributor as a part of a team

• Maintain financial integrity and optimize processes

Benefits:

• Diversity and inclusion values

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Engineering

Experience Requirements:

• 3+ years experience

• 4+ years proven data analysis experience

• Knowledge of data warehousing

• SQL and Python proficiency

• ELT/ETL tool experience

Other Requirements:

• US citizenship/visa not required

• BigQuery skills

• SQL skills

Responsibilities:

• Maintain scalable data pipelines

• Collaborate with platforms teams

• Implement data governance

• Manage data warehouse

• Develop dashboards

Benefits:

• Diversity and inclusion values

Education Requirements:

• Engineering degree in computer science or equivalent

Experience Requirements:

• 3+ years experience

• 4-6 years overall software engineering

• Deep experience with React-Native

• Responsive design

• RESTful API integration

Other Requirements:

• US citizenship/visa not required

• Java skills

• TypeScript skills

• LLM based operations knowledge

Responsibilities:

• Participate in entire lifecycle

• Build web/mobile interfaces

• Collaborate with UX designers

• Debug backend codebases

• Write scalable code

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor's or Master's in Computer Science or related fields

Experience Requirements:

• A minimum of 8+ years of experience using Rhino and Grasshopper

• Experience in AEC Industries

• Python expertise

• C# expertise, particularly with RhinoCommon

• Familiarity with the Grasshopper SDK

Other Requirements:

• A portfolio showcasing contributions to the physical world through computational design

• Experience with Visual Studio Code or similar development environments

Responsibilities:

• Collaborate with teammates to build modular, scalable solutions

• Develop custom API solutions for interoperability between multiple software platforms

• Create custom nodes in Python and C#

• Handle client data that may be sensitive or confidential with utmost care

• Collaborate directly with leaders of the computational design and engineering teams

Benefits:

• Competitive salary, equity

• Professional development opportunities

• Dynamic and intellectually stimulating work environment

• Opportunities to shape the direction of the company

Experience Requirements:

• 8+ years of experience in developing and implementing machine learning algorithms

• Advanced proficiency in Python (Scikit-learn, TensorFlow, PyTorch)

• Experience with advanced text mining methods

• Experience with Natural Language Processing (NLP)

• Experience with Large Language Models (LLMs) like GPT-3

Other Requirements:

• Practical experience with cloud services (AWS, Azure, GCP)

• Expertise in deep learning for NLP with Transformers

• Proficiency in ML experimentation and A/B testing

Responsibilities:

• Spearhead the creation and finetuning of sophisticated machine learning models

• Contribute to the seamless integration of Large Language Models

• Employ machine learning techniques to analyze vast datasets

• Implement algorithms to effectively cluster vast quantities of code

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite (US)

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Expertise in semantic search and embedding models

• Experience in LLM frameworks (LangChain, LlamaIndex) and agentic AI systems

• Advanced model fine-tuning techniques

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt off-the-shelf models

• Develop and optimize cloud-native architectures (AWS, Kubernetes)

• Implement robust security measures for LLM applications

Education Requirements:

• Bachelor’s degree in electrical engineering or related

Experience Requirements:

• 5 - 7 years building large-scale data/ML systems

• Production experience with Python and Java/Scala/Go

• MLOps at scale experience

• Experience with AWS, Docker, Kubernetes

• Practical ML knowledge (training, evaluation)

Other Requirements:

• Vendor-agnostic thinker

• Systems thinking mindset

• Obsess over developer experience

Responsibilities:

• Build and run LLM control plane/gateway

• Ship unified API and SDKs

• Enforce safety and privacy by default

• Own the agent runtime and tool registry

• Evolve domain graph and entity resolution

Benefits:

• Equity: 0.5%–1%

Experience Requirements:

• 6+ years of experience

• 5+ years total experience

• 3+ years in Django/FastAPI/Celery

Other Requirements:

• US citizen/visa only

• Strong experience with Django, FastAPI, Celery

• Solid AWS skills (EC2, S3, Lambda, ECS, etc.)

• Hands-on experience with LLM/agentic systems and workflow orchestration

• Strong debugging, optimization, and system design skills

Responsibilities:

• Build the Creative OS powering winning ads at scale

• Design & scale high-performance backend systems

• Build data pipelines, async jobs, and distributed systems

• Own major product surfaces end-to-end

Benefits:

• Equity: 0.5%–1%

Experience Requirements:

• 6+ years of experience

• 5+ years total experience

• 3+ years in React/Next.js

Other Requirements:

• US citizen/visa only

• Strong experience with React, Next.js, TypeScript

• Product/design sensibility (Figma to polished UI)

• Ownership mindset — shipping fast, debugging across stack

• Experience integrating LLM/agentic workflows into UI

Responsibilities:

• Build the Creative OS powering winning ads at scale

• Own major product surfaces end-to-end

• Build complex dashboards and data-heavy UIs

• Shipping fast, debugging across stack

Benefits:

• Transparent, fast, and thoughtful process

• Drive, curiosity, and grit valued

Experience Requirements:

• Exceeded $300K+ quotas in B2B SaaS

• Closed multiple $20K–$80K+ ARR deals

• Strategic stakeholder engagement

• Understand APAC buyer psyche

Other Requirements:

• Outbound prospecting

• Clear communicator

• Analytical and coachable

• Deal orchestration

• Multi-threading

Responsibilities:

• Own the entire sales cycle for APAC

• Source pipeline through outbound prospecting

• Qualify inbound interest

• Run high-quality discovery and product demos

• Work with marketing and product to refine messaging

Benefits:

• End-to-end ownership and technical autonomy

• Opportunity to build a generational AI Security product

• Work with a global team in a fast-moving, high-impact environment

• Competitive compensation and strong growth opportunities

Experience Requirements:

• Excellent experience with Python backend development

• Production level experience building solutions using with LLMs & Agentic AI systems(LangChain, LangGraph, PyTorch)

• Strong experience with Docker & Kubernetes in production

• Experience with MongoDB

• Strong understanding of GraphQL

Other Requirements:

• Experience with Terraform

• Knowledge of API security & rate limiting

• Experience with AWS, GCP, or Azure

Responsibilities:

• Design and build production-grade backend services in Python that power AI-driven security products

• Implement LLM-powered agent workflows for real-world AI Security use cases

• Design, implement, and maintain GraphQL APIs for internal and customer-facing systems

• Model, store, and optimize data in MongoDB for performance and scale

• Containerize applications with Docker and deploy, scale, and operate them using Kubernetes

Benefits:

• Competitive base salary + performance-based bonus

• Meaningful equity

• Access to all the tools, software, and resources

• Budget for professional development

• Group Insurance Coverages

Experience Requirements:

• 2–4+ years of experience in product, growth, ops, or automation roles in B2B SaaS / tech

Other Requirements:

• Hands-on experience with no-code / low-code tools (Lovable, Emergent, Retool)

• Deep proficiency in automations: n8n, Zapier, Slack workflows

• Strong analytical foundation — comfortable with dashboards and SQL

• Excellent written communication and documentation skills

Responsibilities:

• Instrument, analyze, and deeply understand how users engage with features and workflows

• Build mini-features and internal tools using no-code/low-code platforms

• Set up and maintain reliable automations using n8n, Zapier, and Slack workflows

• Own migration plans when moving users to new features or systems

• Partner with PMs and Eng to take new features from beta to full launch

Benefits:

• Opportunity to work on cutting-edge AI-powered SEO technology

• Collaborative team environment with growth opportunities

• Direct impact on helping businesses improve their online presence

• Modern tech stack and development practices

Education Requirements:

• Bachelor's degree in Computer Science, Engineering, or equivalent experience

Experience Requirements:

• 2 - 7 years of experience in Frontend Development

Other Requirements:

• Proficiency in Next.js and Astro

• Advanced skills in JavaScript/TypeScript, HTML5, CSS3

• Solid experience with React.js ecosystem

• Experience with CSS frameworks like Tailwind CSS

• Knowledge of web performance optimization and Core Web Vitals

Responsibilities:

• Develop and maintain responsive web applications using Next.js, Astro, and other modern frontend frameworks

• Collaborate with designers to implement pixel-perfect UI/UX designs

• Integrate frontend applications with APIs and backend services

• Implement modern development practices including component-based architecture and state management

• Ensure cross-browser compatibility and mobile responsiveness

Benefits:

• Competitive base salary + performance-based bonus

• Meaningful equity

• Work directly with both the founders

• Access to all the tools, software, and resources

• Group Insurance Coverages

Experience Requirements:

• 4–6+ years of experience in Product Management, Product Ops, or Growth at a B2B SaaS company

Other Requirements:

• Basic AI Native Literacy and structured prompt design

• Advanced proficiency in SQL and data visualization

• Deep experience with n8n or Zapier

• Ability to read/write basic JavaScript or Python for API debugging

• Experience building eval frameworks for AI reliability

Responsibilities:

• Drive Cross-Functional Performance and act as 'Product CEO' for your domain

• Design and deploy autonomous AI workflows (n8n, APIs, LLMs)

• Rapidly build and own internal tools using no-code stacks (Retool, Lovable)

• Bridge the gap between raw data and strategy using SQL and LLMs

• Command Full-Cycle Rollouts from technical QA to sales enablement