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

Experience Requirements:

• 5+ years of experience in speech or audio machine learning

• Proven experience designing and modifying neural architectures

• Experience running large-scale experiments on GPUs

Other Requirements:

• Strong understanding of sequence and streaming models

• Ability to reason deeply about model trade-offs

• Strong communication and mentorship skills

Responsibilities:

• Analyze existing speech model architectures to identify limitations

• Lead efforts to balance model quality with real-time constraints

• Design and oversee architecture-level ablation studies

• Design architectures for audio-to-audio conversational systems

• Mentor Speech AI Engineers on architectural reasoning

Experience Requirements:

• 4+ years of backend development experience in high-performance, scalable systems

• Experience deploying AI/ML or GenAI models into production environments

• Proven experience leading teams or mentoring developers

Other Requirements:

• Deep expertise in Python, FastAPI (or Flask), and microservices architecture

• Solid background with cloud infrastructure (AWS/GCP/Azure)

• Strong communication skills

• Background in NLP or LLMs is a bonus

Responsibilities:

• Architect and scale robust backend systems for GenAI-driven applications

• Build and optimize APIs, data pipelines, and real-time services using Python and FastAPI

• Lead and mentor junior developers

• Manage cloud infrastructure including MongoDB, Redis, and RabbitMQ

• Work closely with ML/AI teams to productionize GenAI models

Benefits:

• Build an AI-first SOC platform from scratch

• Work directly with founders/leaders on architecture

• Ship fast, learn fast, own deeply

• Early impact and compounding growth

Experience Requirements:

• 2+ years of work experience

• Strong backend development experience (Python/Go/Node preferred)

• Solid understanding of distributed systems fundamentals

• Experience with microservices, async execution, event streams

• Familiarity with cloud infra (AWS/GCP/Azure) and CI/CD

Other Requirements:

• Ownership mindset

• Systems thinking

• Interest in reading RFCs and research papers

• Obsessed with writing clean tests and elegant abstractions

Responsibilities:

• Design and build foundational pieces of agentic security platform

• Own end-to-end design and delivery of features

• Ship platform, agent, or integration capabilities at high velocity

• Collaborate with sales, marketing, and customer teams

• Deploy features into live production and monitor stability

Benefits:

• Competitive salary commensurate with experience

• Generous early-stage equity with significant upside potential

• Annual performance bonuses

• Comprehensive health coverage

• Generous leave policy

Experience Requirements:

• 1-3 years of work experience

• 1-2 years of experience in marketing or events

• Focus on field marketing or events coordination in US market

• Experience with event planning, vendor management, and contract negotiation

Other Requirements:

• Highly organized and detail-oriented

• Strong organizational and time management skills

• Familiarity with marketing automation tools and CRM systems

• Ability to work in a fast-paced environment

Responsibilities:

• Coordinate logistics and planning of field marketing events

• Manage relationships with external vendors and agencies

• Oversee contracts and procurement processes for marketing activities

• Support the execution of global field marketing projects

• Collaborate with marketing team for content and social media

Benefits:

• Competitive salary commensurate with experience

• Generous early-stage equity with significant upside potential

• Comprehensive health insurance

• Annual performance bonuses

Experience Requirements:

• 4-5 years of work experience

• 3-6 years of hands-on experience in Kubernetes and automation

• Strong expertise in AWS (EC2, EKS, IAM, VPC, RDS)

• Proficient in Helm, Terraform, and Ansible

• Experience with GitHub Actions or Jenkins

Other Requirements:

• AWS Certified Solutions Architect – Professional is a plus

• Exposure to Azure or GCP knowledge is a plus

• Proficiency in Bash, Node.js, or Python for scripting

• Knowledge of Linux and networking fundamentals

Responsibilities:

• Manage and maintain Kubernetes clusters across cloud providers

• Handle deployments of PostgreSQL, MongoDB, OpenSearch, Kafka

• Perform SQL database backups, tuning, and monitoring

• Set up monitoring with Prometheus, Grafana, and Thanos

• Own customer deployments and on-premises environment setup

Benefits:

• Part of a fast-growing, mission-driven team

• Competitive compensation and benefits

• Work with global, market-leading customers

• Remote-first work environment

Experience Requirements:

• 4-5 years of work experience

• Proven experience in customer-facing roles within cybersecurity/SaaS

• Experience supporting large, strategic enterprise customers

Other Requirements:

• Strong communication and interpersonal skills

• Hands-on technical aptitude for product use and troubleshooting

• High level of integrity and intellectual honesty

Responsibilities:

• Own end-to-end customer onboarding and deployment

• Serve as the primary liaison for tier-1 strategic customers

• Act as first line of defense for product support

• Identify new sales opportunities and drive account growth

• Prepare and deliver customer collateral including QBRs