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:

• 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:

• 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 practical experience

Experience Requirements:

• 2–7 years of professional software development experience

Other Requirements:

• Strong experience in Front-end development (e.g., React, Nextjs)

• Back-end development (e.g., Node.js and/or Python)

• Solid understanding of building and integrating REST/HTTP APIs

• Database experience in SQL and Non-SQL Databases

• Understanding of LLM behaviour and Prompt Engineering

Responsibilities:

• Build and ship product features end-to-end across front-end and back-end systems

• Develop high-quality front-end experiences (UI, responsiveness, performance) using modern web frameworks

• Design, develop, and maintain back-end services/APIs, ensuring scalability, reliability, and security

• Own integration between client, server, and data layers to deliver a seamless user experience

• Collaborate with product, design, and marketing teams to deliver features that drive measurable customer outcomes

Benefits:

• Competitive salary + equity options

• Group Insurance Coverages for Health, Personal Accident, Term Life & OPD Benefit

• Flexible work environment

• Learning & development budget

Experience Requirements:

• 3+ years of software engineering experience

• At least 1 year in a manager role

Other Requirements:

• Strong front-end development skills (React, modern CSS, JavaScript)

• Working knowledge of back-end development (APIs, databases, servers)

• Experience with customer-facing technical work

• Excellent communication skills

Responsibilities:

• Lead a team of 3-5 junior engineers focused on customer implementations

• Oversee technical onboarding for every new customer

• Customize AI content hub to match customer websites

• Hold technical onboarding calls with customers

• Write front-end code and make back-end changes for configurations

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:

• 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

Benefits:

• Opportunity to play a key role in a rapidly growing startup

• Exposure to cutting-edge AI and SEO technologies

• Collaborative work environment with a focus on innovation

• Competitive salary and benefits package

• Professional growth and development opportunities

Education Requirements:

• Bachelor’s degree in a related field (Engineering, Business, or similar)

Experience Requirements:

• 3-6 years of experience in customer success or related roles, preferably managing US clients

Other Requirements:

• Strong analytical skills with the ability to interpret customer data

• Excellent communication and interpersonal skills

• Proficiency in CRM tools and data analysis software

Responsibilities:

• Build and maintain strong customer relationships to understand their needs

• Monitor customer engagement and satisfaction, addressing issues proactively

• Implement and optimize customer success processes to enhance efficiency

• Analyze customer data to derive insights and make data-driven decisions

• Collaborate with cross-functional teams to improve offerings based on feedback

Benefits:

• Competitive salary + equity options

• Group Insurance Coverages

• Flexible work environment

• Learning & development budget

Experience Requirements:

• 3+ years of software engineering experience

• At least 1 year in a manager role

Other Requirements:

• Strong front-end development skills (React, modern CSS, JavaScript)

• Experience with customer-facing technical work

• Project management skills

Responsibilities:

• Lead a team of 3-5 junior engineers focused on customer implementations

• Oversee technical onboarding for every new customer

• Customize AI content hub to match customer websites

• Hold technical onboarding calls with customers

• Translate customer feedback into engineering requirements

Education Requirements:

• Bachelor’s degree in Commerce, Accounting, or Finance (B.Com or equivalent)

Experience Requirements:

• 2-5 years in corporate/startup environment

Other Requirements:

• Working knowledge of MS Excel, Google Sheet and accounting software (Zoho books preferred)

• Understanding of basic accounting principles and taxation (GST, TDS)

• CA Intermediate would be preferred

Responsibilities:

• Record and maintain day-to-day financial transactions

• Follow up customers for payments

• Assist in preparing and reviewing financial statements and reports

• Perform bank reconciliations and monitor bank transactions

• Maintain general ledger and ensure accuracy in financial entries

Benefits:

• High-intensity, high-leverage seat next to the founder

• Visibility into every strategic decision

• Zero-to-one MBA in startup building

Education Requirements:

• Graduate of a top MBA or undergrad program

Experience Requirements:

• 3 + years total experience

• 2 + years in a fast-growth startup

• Preferably 2 + years in consulting, VC, IB, or PE

Other Requirements:

• First-principles thinker with extreme ownership

• Analytical, structured, and detail-obsessed

• Exceptional written & verbal communicator

Responsibilities:

• Lead strategic hiring and talent sourcing as organization expands

• Prepare investor updates, fundraising materials, and board decks

• Deconstruct complex or undefined problems into clear execution plans

• Orchestrate initiatives across growth, product, and operations

• Design cadences, dashboards, and OKR systems

Experience Requirements:

• 1-3 years in analytics, preferably at a high-growth startup or tech company

Other Requirements:

• Advanced SQL skills (joins, CTEs, window functions)

• Excel/Google Sheets power user with Python/R capabilities

• Experience with BI tools (Metabase, Tableau, Looker, etc.)

• Experience with ETL pipelines or data engineering fundamentals

Responsibilities:

• Build on data infrastructure, clean data from 10+ sources, and design automation patterns

• Own end-to-end analytics for product, finance, growth, and operations

• Design self-serve analytics tools and documentation

• Build systems that turn manual reporting into automated intelligence

• Leverage AI tools and chatbots to accelerate analysis workflows

Education Requirements:

• A bachelor or MBA degree is preferred

Experience Requirements:

• 3 - 7 years experience

• Minimum 3 years of work experience as a Customer Success Manager or similar role

• Experience in dealing with large and mid size Enterprise customers in India

• Quota carrying experience

• Experience working in a SAAS organization is desirable

Other Requirements:

• Exceptional ability to communicate and foster positive business relationships

• Technical skills in SAAS and Contact centers is a plus

• Ability to travel for client meetings

• Clear grasp of digital technology stacks - API's, middleware, and ecosystems

Responsibilities:

• Establish clear client retention goals

• Define success milestones for clients and employees

• Promote the value of Gnani.ai’s software and services

• Upsell and Cross-sell Gnani.ai’s software and services

• Review customer complaints and seek to improve the customer experience

Education Requirements:

• PMP/PRINCE2 certification is a plus

Experience Requirements:

• 8-12 years of project/program management experience in technology product companies

• Proven experience handling enterprise-level Indian customers

• Strong exposure to AI/ML-based product implementations or integrations

• Deep understanding of Agile/Scrum delivery practices

• Demonstrated ability to lead multi-disciplinary teams

Other Requirements:

• Skilled in using tools like JIRA, Asana, or MS Project

• Exceptional stakeholder management and communication skills

• Comfortable with fast-paced environments and ambiguity

Responsibilities:

• Own the full lifecycle of enterprise project delivery with a focus on AI product implementations

• Serve as the key point of contact for customer communication

• Lead customer onboarding and requirement gathering

• Drive project governance – timelines, scope, risk management, and resource planning

• Collaborate with internal product teams to align business goals

Education Requirements:

• Degree in Computer Science, Engineering, or a related field

Experience Requirements:

• 3 - 5 years experience

• Minimum 3 years of proven work experience as a Pre-Sales Engineer or similar role

• Experience working in a SAAS organization is a must

• Experience in dealing with large and mid size Enterprise customers in India

Other Requirements:

• Strong problem-solving and prioritization skills

• Strong presentation skills

Responsibilities:

• Develop solutions for AI & ML based Omni-Channel Automation

• Organize, plan, create & deliver compelling proof of concept demonstrations

• Ensure solutions in Statement of Work are in line with client requirements

• Manage the sales bid process by responding to RFI’s & RFP

• Liaise with Product Managers to provide feedback about product requirements

Experience Requirements:

• 10–15 years of experience in ML / AI

• Strong focus on Speech AI

• Proven experience building and deploying production-grade ASR / Speech systems

• Prior experience leading or mentoring ML engineers

Other Requirements:

• Strong hands-on skills in PyTorch and ML engineering

• Experience with real-time or streaming inference systems

• Experience with Indic languages or multilingual speech is a plus

• Research publications or patents in speech or audio ML is a plus

Responsibilities:

• Lead development of ASR, TTS, and speech processing systems

• Evolve and improve architectures such as Conformer, RNN-T, and hybrid models

• Drive experiments to improve WER, latency, and robustness

• Own end-to-end delivery of Speech AI components from research to production

• Manage and mentor Speech ML engineers and applied scientists

Experience Requirements:

• 10–15 years of experience in ML / AI or backend systems

• Strong LLM focus

• Hands-on experience building and deploying LLM-based systems

• Experience leading teams or technical pods

Other Requirements:

• Strong understanding of fine-tuning, RAG, tool calling, and agent frameworks

• Proficiency in Python and modern ML stacks

• Experience with real-time or voice-based AI systems is a plus

• Research or open-source contributions in GenAI or NLP is a plus

Responsibilities:

• Lead development of LLM-based systems and agentic workflows

• Drive experiments in fine-tuning, RAG, tool-calling, and multi-agent architectures

• Own end-to-end design and delivery of LLM and agent platforms

• Optimize LLM inference for latency, throughput, and cost

• Manage and mentor AI engineers working on LLMs and agents

Experience Requirements:

• 10 - 15 years experience

• Proven history of rapid career growth

• Ability to own strategic partnerships

• Successfully operated at large revenue scale

Other Requirements:

• Combine strategic maturity with execution intensity

• High-velocity GTM leader

Responsibilities:

• Own the P&L and end-to-end revenue growth for the international business

• Lead complex, multi-year sales motions for AI and SaaS deals

• Spearhead revenue strategy, forecasting accuracy and pipeline governance

• Personally lead and close strategic enterprise and lighthouse deals

• Cultivate and sustain trusted relationships with C-suite executives