Right Hire
About
Company social profiles
Jobs at Right Hire
Senior Product Manager – AI / B2B SaaS
Location: Bengaluru
Work Mode: Work from Office
Experience: 5+ years
Department: Product Management
About LeadSquared
LeadSquared is a leading Sales CRM for high-velocity revenue teams, helping businesses manage leads, sales processes, customer interactions, marketing, and revenue workflows at scale.
We serve businesses where large sales teams manage high volumes of leads and customer interactions, making speed, prioritisation, automation, and effective sales execution critical to revenue growth.
Role Overview
We are looking for a Senior Product Manager – AI to own the roadmap and end-to-end execution of AI products within LeadSquared.
Key Responsibilities
- Own the roadmap, prioritisation, and end-to-end execution for your AI product area.
- Understand customer problems and identify where AI can create meaningful, scalable value and translate them into clear product requirements and scalable solutions.
- Drive products from discovery and 0→1 development through launch, adoption, and iteration.
- Build and scale end-user-facing AI experiences that work reliably within enterprise workflows.
- Make informed product decisions considering quality, latency, and scale trade-offs in production AI systems.
- Work closely with Engineering, Design, AI/ML, Data, and GTM teams to ship high-quality products.
- Define and track product adoption, engagement, customer outcomes, and business impact.
- Drive GTM, adoption, and continuous product optimisation.
What We're Looking For
- 5+ years of Product Management experience.
- 2+ years of hands-on Product Management experience building AI products.
- Strong B2B SaaS product experience.
- Experience in 0→1 product development and launches.
- Strong product discovery, prioritisation, roadmap management, and execution skills.
- Familiarity with AI evaluations (evals), observability, guardrails, and human oversight.
- Data-driven approach with strong understanding of product metrics.
- Excellent communication, problem-solving, and stakeholder management skills.
- Candidates from Tier 1 / Tier 1.5 / Tier 2 colleges preferred.
Good to Have
- Experience building products using GenAI, LLMs, RAG, AI Agents / Agentic AI, or ML-based decision systems.
- Experience in CRM, SalesTech, MarTech, or Enterprise SaaS.
- Experience building AI products for sales, revenue, operations, or other enterprise users.
- Experience taking an AI capability from an early prototype to a reliable, scalable enterprise product.
- Candidates who have built AI side projects will have a preference. Share links to live products, prototypes, demos, GitHub repositories, agents, or apps you’ve built.
About LeadSquared
LeadSquared is a leading sales execution and marketing automation platform trusted by 2,000+ businesses globally, including healthcare, education, financial services, and real estate. Headquartered in Bengaluru with offices across the US, UK, UAE, and Southeast Asia, we empower sales teams to close faster, smarter, and at scale.
Our AI team is at the forefront of integrating cutting-edge large language model capabilities into enterprise workflows — building intelligent agents, copilots, and automation systems that redefine how businesses operate.
Role Overview
We are looking for a Senior AI Engineer with hands-on experience building LLM-powered agents and agentic AI systems. You will design, develop, and deploy autonomous AI pipelines that solve complex, multi-step business problems — from lead qualification and follow-up automation to intelligent CRM workflows and beyond.
This role is ideal for someone who is deeply excited about the frontier of AI, can move fast, and wants their work to directly impact millions of sales professionals worldwide.
Key Responsibilities
•
Design and build LLM-powered agentic systems using frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI to automate complex, multi-step workflows.
•
Develop and maintain Retrieval-Augmented Generation (RAG) pipelines with vector databases (Pinecone, Weaviate, Chroma, pgvector) for domain-specific knowledge grounding.
•
Build and integrate tool-use and function-calling capabilities into AI agents, enabling dynamic interaction with internal APIs, databases, and third-party services.
•
Implement prompt engineering strategies including chain-of-thought, few-shot prompting, and structured output parsing to ensure reliable agent behavior.
•
Design evaluation frameworks and observability pipelines (LangSmith, Helicone, custom metrics) to monitor agent performance, accuracy, and cost.
•
Collaborate with product, sales, and domain teams to translate business requirements into AI-driven solutions and features.
•
Optimize LLM inference for latency and cost using techniques like caching, model distillation, quantization, and batching.
•
Stay current with the rapidly evolving LLM ecosystem and proactively propose improvements and new approaches.
•
Contribute to internal best practices, documentation, and knowledge-sharing across the engineering org.
Required Qualifications
Experience
•
2–4 years of professional software engineering experience, with at least 1–2 years focused on LLM/AI systems.
•
Proven experience shipping LLM-based products or agentic AI systems into production environments.
Technical Skills
•
Strong proficiency in Python and familiarity with async programming patterns for AI pipelines.
•
Hands-on experience with LLM APIs: OpenAI (GPT-4o), Anthropic (Claude), Google (Gemini), or open-source models (Llama, Mistral).
•
Experience with agentic frameworks: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar.
•
Solid understanding of RAG architectures, embedding models, and semantic search.
•
Experience with vector databases and similarity search infrastructure.
•
Knowledge of REST APIs, microservices architecture, and containerization (Docker/Kubernetes).
Problem-Solving & Mindset
•
Strong ability to decompose ambiguous, open-ended problems into structured AI system designs.
•
Experience with prompt debugging, LLM evaluation, and iterative refinement workflows.
•
Ability to balance research exploration with engineering pragmatism to ship reliable systems.
Preferred Qualifications
•
Experience with multi-agent orchestration and agent memory systems (short-term and long-term).
•
Familiarity with fine-tuning or RLHF workflows for domain adaptation.
•
Background in NLP, information retrieval, or conversational AI.
•
Prior experience in B2B SaaS or CRM domain is a plus.
•
Contributions to open-source AI/ML projects or published research/blogs.
•
Experience with cloud platforms: AWS, GCP, or Azure — particularly AI/ML services
Location: Bengaluru
Work Mode: Work from Office 4 days WFO and 1 Day Remote
Timigs : 12-8 PM
Experience: 4–7 years
Department: Marketing
About LeadSquared
LeadSquared is a leading SaaS CRM and marketing automation platform helping businesses across industries streamline their sales, marketing, and customer engagement processes. With a strong presence across India and global markets, we work with thousands of businesses to help them acquire, engage, and retain customers at scale.
We are looking for a Lead – BTL Marketing who can own and execute high-impact offline marketing initiatives that strengthen our brand presence, engage our target audience, and contribute directly to pipeline generation.
Role Overview
As the Lead – BTL Marketing, you will be responsible for planning, executing, and measuring LeadSquared's BTL marketing initiatives across events, conferences, industry forums, partner activations, customer meets, roadshows, and other offline channels.
This role requires someone who can think strategically while being hands-on with execution, manage multiple stakeholders and agencies, and build marketing programs that deliver measurable business outcomes.
Key Responsibilities:
BTL Strategy & Planning
- Develop and execute the annual BTL marketing strategy aligned with business, brand, and revenue objectives.
- Identify relevant industry events, conferences, exhibitions, forums, and offline opportunities for LeadSquared.
- Build quarterly and annual BTL calendars across target industries, geographies, and customer segments.
- Identify opportunities to leverage events and offline activations for brand building, demand generation, and pipeline creation.
Events & Activations
- Own end-to-end execution of events, conferences, exhibitions, customer meets, roundtables, roadshows, and other BTL initiatives.
- Manage everything from event ideation and venue selection to branding, logistics, vendor coordination, on-ground execution, and post-event activities.
- Create innovative on-ground experiences and activations that drive engagement and strengthen LeadSquared's brand recall.
- Work closely with sales teams to ensure effective lead capture, qualification, and follow-up from every activation.
- Develop event-specific messaging, collateral, booth experiences, engagement activities, and audience journeys.
Demand Generation & Pipeline
- Design BTL programs with clear lead generation and revenue objectives.
- Partner with sales teams to identify priority accounts, industries, and territories for offline campaigns.
- Develop mechanisms to capture, qualify, route, and track leads generated through events and activations.
- Track event-sourced opportunities and pipeline contribution.
- Analyse ROI and continuously optimise the BTL mix based on performance.
Vendor & Agency Management
- Identify, evaluate, and manage event agencies, vendors, production partners, venues, and other external stakeholders.
- Negotiate commercial terms and ensure effective utilisation of marketing budgets.
- Maintain strong vendor relationships while ensuring quality, timelines, and cost efficiency.
- Manage multiple vendors simultaneously during large-scale events and activations.
Cross-functional Collaboration
- Work closely with Sales, Product Marketing, Content, Design, Partnerships, Customer Success, and other teams to build integrated campaigns.
- Collaborate with the sales leadership team to align BTL activities with business priorities.
- Coordinate with internal stakeholders to ensure timely delivery of event assets, communication, logistics, and follow-ups.
- Ensure seamless handoff of leads from marketing to sales.
Reporting & Optimisation
- Define KPIs for every BTL initiative and maintain regular performance reporting.
- Track metrics such as registrations, attendance, engagement, MQLs, SQLs, opportunities, pipeline, CAC, and ROI.
- Conduct post-event analysis and document learnings.
- Recommend improvements to optimise future events and offline campaigns.
What We're Looking For
- 5–8 years of experience in BTL marketing, field marketing, event marketing, experiential marketing, or demand generation.
- Strong experience in managing B2B events, conferences, exhibitions, roundtables, roadshows, and offline activations.
- Experience working with sales teams and using events/BTL as a demand-generation channel.
- Strong vendor and agency management skills.
- Excellent project management and execution capabilities.
- Strong commercial acumen with experience managing marketing budgets.
- Ability to manage multiple initiatives simultaneously in a fast-paced environment.
- Strong communication, stakeholder management, and negotiation skills.
- Data-driven mindset with the ability to measure marketing impact and ROI.
- Willingness to travel as required for events and activations.
Good to Have
- Experience in B2B SaaS, technology, CRM, MarTech, FinTech, BFSI, EdTech, or other enterprise-focused businesses.
- Experience working with a national or regional event calendar.
- Experience managing large-scale conferences and industry events.
- Understanding of ABM, demand generation, and integrated marketing campaigns.
- Existing relationships with event agencies, vendors, and industry forums.
Why LeadSquared?
- Work with a fast-growing SaaS company with a strong presence in India and global markets.
- Own high-visibility marketing programs with direct business impact.
- Work closely with senior stakeholders across Marketing and Sales.
- Opportunity to build and scale LeadSquared's offline marketing engine.
- Be part of a high-energy, execution-focused marketing team.
We are looking for a passionate and skilled backend developer with strong expertise in .NET Core to join our engineering team at LeadSquared. This role is ideal for someone who thrives in building scalable, high performance services and is open to transitioning into Java-based technologies in the future. You will be responsible for designing and developing robust backend systems, APIs, and services that power our platform. A strong sense of ownership, attention to detail, and a commitment to writing clean, maintainable code are essential qualities we look for.
KEY RESPONSIBILITIES
▪️ Design, develop, and maintain scalable backend services using .NET Core.
▪️ Build and optimize RESTful APIs and microservices.
▪️ Collaborate with cross-functional teams to define, design, and ship new features. ▪️ Write clean, efficient, and testable code with a focus on long-term maintainability.
▪️ Optimize database queries and ensure high performance for data-intensive operations.
▪️ Implement caching and messaging solutions for performance and reliability. ▪️ Participate in code reviews and contribute to engineering best practices.
REQUIRED SKILLS & QUALIFICATIONS
▪️ 3–5 years of hands-on experience in backend development with .NET Core.
▪️ Strong programming skills in C#.
▪️ Experience with ASP.NET Core MVC, Web API, and WCF.
▪️ Solid understanding of multi-threading, asynchronous programming, and concurrency.
▪️ Experience with MySQL, SQL Server, or equivalent relational databases.
▪️ Strong expertise in SQL programming and query optimization for large datasets.
▪️ Familiarity with caching solutions such as Redis.
▪️ Experience with message brokers such as RabbitMQ, Kafka, or AWS SQS.
▪️ Hands-on experience with cloud platforms — preferably AWS, or Azure/GCP.
▪️ Exposure to analytics, observability, monitoring, and performance tuning.
▪️ Strong foundation in software design principles and logical thinking. Good to Have
▪️ Familiarity with containerization tools — Docker and Kubernetes.
▪️ Understanding of CI/CD pipelines and DevOps practices.
Java
Spring BootAbout Us
We're building the next generation of AI-powered business software. Our Chatbot application brings AI directly into customer and business workflows, combining a robust backend with LLM-powered agents to get real work done through conversation.
This is a chance to work on hard problems in backend systems, LLM agents, and orchestration — building zero-to-one, owning your area end-to-end, and shipping to production at scale.
Note: This is a customer-facing role, and strong communication skills are essential.
About the Role
We're looking for a Lead Software Engineer to help build and scale the backend and AI capabilities of our Chatbot application. This is a backend-heavy role for someone who can design robust, production-grade systems in Java while also bringing hands-on experience building LLM agents and orchestration layers that power intelligent conversational experiences.
What You'll Do
- Design, build, and scale backend services in Java that power the Chatbot application
- Build and integrate LLM-powered agents into the chatbot, including agent orchestration, tool use, and multi-step reasoning workflows
- Own features end-to-end — from architecture and design through implementation, testing, deployment, and iteration
- Drive technical decisions on system architecture, reliability, performance, and scalability for a backend serving real-time conversational workloads
- Lead by example — set engineering standards, review designs and code, and mentor engineers on the team
- Collaborate closely with product, design, and AI/ML teams to translate business requirements into shipped functionality
- Work directly with customers to understand real-world use cases, troubleshoot issues, and gather feedback to inform the roadmap
- Continuously improve the chatbot's conversational quality, reliability, and response accuracy
What We're Looking For
- 4–6 years of backend engineering experience, with strong, hands-on expertise in Java
- Practical experience building LLM-powered agents and agent orchestration in production systems
- Solid understanding of LLM fundamentals — prompting, tool use, reasoning, and evaluation
- Strong experience designing and building scalable, production-grade backend systems and APIs
- Ability to take technical ownership and lead design/architecture decisions with minimal oversight
- Comfort working in a fast-moving, high-ownership environment, balancing hands-on coding with technical leadership
- Excellent communication skills — this is a customer-facing role, and you'll regularly engage directly with customers to understand needs and explain technical solutions
About the Role
We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done. With Agent Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.
What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.
Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.
About the Role
We are looking for a Senior AI/ML Backend Engineer to help build the core intelligence layer powering Lumen and Agent Studio. You will design and ship production-grade backend systems that integrate LLMs into real agentic workflows — taking actions, retrieving knowledge and generating insights inside a live CRM product used by real businesses. This is a hands-on, build-focused role with direct ownership of systems that ship to production.
What You’ll Do
- Design, build and scale backend services in Python that power LLM-driven and agentic features within Lumen and Agent Studio.
- Build and productionize agentic AI systems — including planning, tool use, orchestration, memory and multi-step task execution.
- Integrate LLMs into core product workflows, focusing on reliability, latency, cost and correctness at production scale.
- Build robust APIs and services that connect AI agents with CRM data, business logic and third-party systems.
- Own evaluation, testing and monitoring for AI features to ensure they behave reliably in real-world, not just demo, conditions.
- Collaborate closely with product, design and other engineers to take features from zero to one and iterate rapidly based on real usage and customer feedback.
- Work directly with customers and customer-facing teams to understand real workflows, debug issues and translate feedback into product and engineering decisions.
What We’re Looking For
- 2–4 years of professional backend engineering experience, with strong hands-on Python skills.
- Design and build LLM-powered agentic systems using frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI to automate complex, multi-step workflows.
- Should be hands-on with traditional Machine learning frameworks like Pytorch, Scikit-learn
- Solid understanding of API design, backend architecture, databases and distributed systems fundamentals.
- Familiarity with LLM orchestration concepts — prompting, tool/function calling, RAG, agent frameworks, evaluation and guardrails.
- Comfort working in a fast-paced, ambiguous, zero-to-one environment where you’ll be defining as much as building.
- Strong communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.
Good to Have
- Experience with enterprise security, reliability or observability practices for AI systems.
- Prior experience working on CRM, SaaS or other enterprise business software.
- Exposure to voice AI or real-time systems.
Python
Django
React.js
JavascriptFull-Stack Engineer (Backend Heavy)
Experience: 4–6 Years | Function: Engineering — Product | Location: On-site
About Us
We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done. With Agent Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.
What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.
Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.
About the Role
We are looking for a Full-Stack Engineer with a strong backend bias to help build end-to-end product experiences across Lumen and Agent Studio. You will own features from database and API design through to the front-end experience, working closely with product and design to ship AI-powered experiences that real business users depend on every day.
What You’ll Do
Design and build backend services and APIs in Python that power core product and AI-agent features.
Build front-end interfaces and experiences that let users interact naturally with AI agents, insights and CRM workflows.
Own features end-to-end — from data modeling and backend logic to UI implementation, testing and release.
Work with product managers and designers to translate requirements into well-architected, scalable systems.
Integrate with LLM-based and agentic backend systems built by the AI/ML engineering team.
Optimize application performance, reliability and code quality across the stack.
Engage directly with customers and customer success teams to understand workflows, triage issues and inform roadmap decisions.
What We’re Looking For
4–6 years of professional full-stack engineering experience, with a clear backend-heavy skill set in Python.
Strong experience designing and building REST/GraphQL APIs, data models and scalable backend services.
Working proficiency with modern front-end frameworks (e.g., React) to build and integrate user-facing features.
Experience with relational/NoSQL databases, caching and cloud infrastructure.
Ability to move fast in a zero-to-one environment while maintaining code quality and system reliability.
Strong communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.
Good to Have
Experience building features on top of LLM or AI-agent backends.
Prior experience in CRM, SaaS or enterprise business applications.
Exposure to real-time or voice-based product interfaces.
PythonAbout Us
Invorto is our Voice AI product, bringing intelligent voice agents to real-world customer and operational use cases. Our voice pipeline is built in Python, running an STT → LLM → TTS architecture on top of the Pipecat framework.
This is a chance to work on hard problems in voice AI — latency, accuracy, naturalness, and reliability — building zero-to-one, owning your area end-to-end, and shipping to production at scale.
Note: This is a customer-facing role, and strong communication skills are essential.
About the Role
We're looking for a Voice AI Research Engineer to join the Invorto team and help build and continuously improve the voice AI systems that power our intelligent voice agents. This role is focused on the specialized craft of voice AI — designing evaluation and automation frameworks that ensure our STT, LLM, and TTS pipeline performs reliably in real-world, production conditions.
What You'll Do
- Design and build automated testing and quality frameworks for our STT → LLM → TTS voice pipeline, built on Pipecat
- Evaluate and benchmark STT, LLM, and TTS/ASR components on accuracy, latency, naturalness, and robustness across accents, languages, and real-world audio conditions
- Work hands-on with STT, TTS, and ASR models — fine-tuning, evaluating, and improving them for production use cases
- Identify failure modes and edge cases across the pipeline (background noise, accents, interruptions, turn-taking, latency, pipeline-stage handoffs) and build systems to catch them before production
- Collaborate closely with engineering to integrate quality checks and automation into the voice agent development lifecycle within the Pipecat-based architecture
- Research and stay current with advances in voice AI, and bring in new techniques, models, and tools to improve pipeline performance
- Work directly with customers to understand real-world voice use cases and translate them into evaluation criteria and quality benchmarks
- Partner with product and engineering to define what "production-grade quality" means for voice agents and drive the team toward it
What We're Looking For
- 4–6 years of experience, with a specialization in voice AI systems and automated quality evaluation
- Hands-on experience with STT (Speech-to-Text), TTS (Text-to-Speech), and ASR (Automatic Speech Recognition) models
- Experience designing and building automated testing/evaluation frameworks for voice or speech systems
- Strong understanding of what drives voice AI quality — accuracy, latency, naturalness, and robustness to real-world variability
- Strong programming skills in Python; familiarity with Pipecat or similar voice pipeline/orchestration frameworks is a plus
- Understanding of STT → LLM → TTS pipeline architectures and the trade-offs involved at each stage
- Research mindset — comfortable exploring new models, techniques, and tools and translating them into practical improvements
- Excellent communication skills — this is a customer-facing role, and you'll regularly engage directly with customers to understand needs and validate quality expectations
PythonJavascriptAbout Us
We’re building the next generation of AI-powered business software, and we’re looking for people who want to shape that future with us. With Lumen, we’re reimagining how users interact with CRM — moving beyond screens, menus and dashboards to an intelligent interface where users can simply ask AI to take actions, retrieve knowledge, generate insights and get work done. With Agent Studio, we’re enabling businesses to build, test and deploy their own AI agents for real-world workflows. And with Invorto, we’re bringing AI to voice, allowing businesses to create intelligent voice agents tailored to their customer and operational use cases.
What makes this especially exciting is the stage and scale of the opportunity. You’ll get to work on genuinely hard problems across LLMs, agents, reasoning, orchestration, voice AI, evaluation, reliability and enterprise security — not as isolated experiments, but as products used in real business workflows. You’ll have the opportunity to build zero-to-one, own meaningful parts of the product end-to-end, work closely with customers, experiment rapidly, and see your work reach production at scale.
Why join now? Because the playbook for enterprise AI is still being written. You won’t just be implementing someone else’s roadmap — you’ll help define the product, architecture and experiences that become that playbook. Expect high ownership, fast iteration, hard technical and product problems, direct customer impact, and the chance to build AI systems that have to work reliably in the real world — not just in a demo.
About the Role
We are looking for a QA Engineer who specializes in testing agentic AI platforms. You will design and automate quality processes for systems that involve LLMs, autonomous agents, tool use and orchestration across Lumen and Agent Studio — ensuring that AI-driven workflows behave reliably, safely and predictably in production, not just in a demo.
What You’ll Do
- Design and build automated test suites and evaluation frameworks for agentic AI workflows, including multi-step and tool-calling behaviors.
- Use AI/LLM-based QA tools and evaluation frameworks to test model outputs, agent decisions and end-to-end task completion at scale.
- Define quality metrics and benchmarks for agent reliability, correctness, latency and safety, and track them over releases.
- Identify edge cases, failure modes and regressions specific to non-deterministic AI systems, and build automated checks to catch them early.
- Integrate automated agent/LLM testing into CI/CD pipelines to support fast, reliable iteration.
- Partner closely with AI/ML and backend engineers to reproduce issues, root-cause failures and validate fixes.
- Work with customers and customer-facing teams to understand real-world usage patterns and translate them into test scenarios.
What We’re Looking For
- 2–4 years of QA/test automation experience, including hands-on work testing agentic AI or LLM-based platforms.
- Practical experience using AI-focused QA/evaluation tools to test agent behavior, prompts and model outputs.
- Strong scripting/automation skills (Python preferred) to build and maintain test frameworks.
- Understanding of how LLM-based agents work — tool calling, orchestration, memory, reasoning chains — well enough to design meaningful test cases.
- Comfort working with non-deterministic systems and designing evaluation approaches beyond traditional pass/fail testing.
- Strong communication skills — this is a customer-facing role, and you will be expected to clearly articulate technical concepts, decisions and trade-offs to both technical and non-technical stakeholders, including customers.
Good to Have
- Experience testing voice AI or real-time conversational systems.
- Familiarity with CRM or enterprise SaaS platforms.
- Exposure to enterprise security or compliance testing for AI systems.
We're looking for a seasoned sales professional with experience driving enterprise SaaS/technology sales, managing complex sales cycles, and closing large-value deals. This is a high-impact individual contributor role focused on new business acquisition, strategic account growth, and building relationships with senior stakeholders.
Key requirements:
* 15+ years of Enterprise SaaS/Technology Sales experience
* Proven track record of selling B2B SaaS solutions to mid-market and enterprise customers
* Success in closing large enterprise deals and consistently exceeding revenue targets
* Experience engaging with CXO-level stakeholders and influencing decision-makers
* Strong consultative selling, solution selling, and account management capabilities
* Ability to manage complex sales cycles involving multiple stakeholders
has context menu
has context menu
Similar companies
About the company
Appknox, a leading mobile app security solution HQ in Singapore & Bangalore was founded by Harshit Agarwal and Subho Halder.
Since its inception, Appknox has become one of the go-to security solutions with the most powerful plug-and-play security platform, enabling security researchers, developers, and enterprises to build safe and secure mobile ecosystems using a system-plus human approach.
Appknox offers VA+PT solutions ( Vulnerability Assessment + Penetration Testing ) that provide end-to-end mobile application security and testing strategies to Fortune 500, SMB and Large Enterprises Globally helping businesses and mobile developers make their mobile apps more secure, thus not only enhancing protection for their customers but also for their own brand.
During the course of 9 years, Appknox has scaled up to work with some major brands in India, South-East Asia, Middle-East, Japan, and the US and has also successfully enabled some of the top government agencies with its On-Premise deployments & compliance testing. Appknox helps 500+ Enterprises which includes 20+ Fortune 1000 and ministries/regulators across 10+ countries and some of the top banks across 20+ countries.
A champion of Value SaaS, with its customer and security-first approach Appknox has won many awards and recognitions from G2, and Gartner and is one of the top mobile app security vendors in its 2021 Application security Hype Cycle report.
Our forward-leaning, pioneering spirit is backed by SeedPlus, JFDI Asia, Microsoft Ventures, and Cisco Launchpad and a legacy of expertise that began at the dawn of 2014.
Jobs
5
About the company
Jobs
16
About the company
Oddr is the legal industry’s only AI-powered invoice-to-cash platform. Oddr’s AI-powered platform centralizes, streamlines and accelerates every step of billing + collections— from bill preparation and delivery to collections and reconciliation - enabling new possibilities in analytics, forecasting, and client service that eliminate revenue leakage and increase profitability in the billing and collections lifecycle.
www.oddr.com
Jobs
9
About the company
Welcome to Neogencode Technologies, an IT services and consulting firm that provides innovative solutions to help businesses achieve their goals. Our team of experienced professionals is committed to providing tailored services to meet the specific needs of each client. Our comprehensive range of services includes software development, web design and development, mobile app development, cloud computing, cybersecurity, digital marketing, and skilled resource acquisition. We specialize in helping our clients find the right skilled resources to meet their unique business needs. At Neogencode Technologies, we prioritize communication and collaboration with our clients, striving to understand their unique challenges and provide customized solutions that exceed their expectations. We value long-term partnerships with our clients and are committed to delivering exceptional service at every stage of the engagement. Whether you are a small business looking to improve your processes or a large enterprise seeking to stay ahead of the competition, Neogencode Technologies has the expertise and experience to help you succeed. Contact us today to learn more about how we can support your business growth and provide skilled resources to meet your business needs.
Jobs
459
About the company
Jobs
24
About the company
Jobs
35
About the company
Jobs
2
About the company
i2b is a venture studio building AI-first consumer and B2B technology companies, partnering with founders to create scalable enterprise platforms and product-led businesses.
Founded by Deepak Gullapalli, i2b operates across AI-driven consumer products, scalable B2B SaaS platforms, and early-stage startup incubation, combining operating expertise, strategic capital, and hands-on mentorship to turn strong ideas into durable, high-growth companies while building the next generation of intelligent consumer and enterprise products.
Jobs
3