About Crenovent Technologies Crenovent Technologies is a product-based SaaS-AI startup focused on building next-generation revenue operations platforms — RevAI Pro and RevOp Max . Our AI-first tools empower Sales, Marketing, Customer Success, and RevOps teams to drive predictable growth, forecast accurately, and unify GTM execution through contextual, real-time insights. Role Overview We are looking for an experienced and forward-thinking Data Science Lead who will work closely with our engineering and product teams to build and integrate GenAI capabilities and AI agents into our SaaS applications. The ideal candidate should bring a strong understanding of machine learning, LLMs, model deployment, and data-driven architecture to help us power real-time intelligence for revenue teams. Key Responsibilities Lead the design and development of ML models and GenAI agents. Work on end-to-end model lifecycle — from data preprocessing, experimentation, and training to evaluation and deployment Collaborate with the backend and frontend developers to integrate ML/AI models into production Drive research on LLMs, vector databases, embeddings, and prompt engineering for tailored insights and automation Build scalable, explainable, and performance-optimized AI systems for real-time user-facing recommendations Maintain model versioning, pipelines, and monitoring systems using MLOps practices Required Skills & Qualifications B.Tech/M.Tech or relevant degree in Computer Science/Data Science/AI or related fields 4+ years of hands-on experience in Machine Learning, NLP, Deep Learning, and GenAI Proficiency in Python, TensorFlow/PyTorch, Scikit-learn, Pandas, etc. Experience with LLMs (OpenAI, HuggingFace, LangChain), embeddings, vector databases (Pinecone/FAISS) Show more Show less
Company Description Crenovent integrates all your revenue data streams into a single, coherent platform, providing seamless access and deep insights across sales, marketing, customer success, and partner teams. Our Enterprise Revenue Fabric transforms existing CRM-centric siloed operations into efficient RevOps solutions. By building robust data and process foundations, Crenovent enables customers to leverage AI for enhanced revenue management and growth. Role Description This is a full-time on-site role for a DevOps Engineer located in Noida. The DevOps Engineer will be responsible for automating infrastructure, managing continuous integration processes, and ensuring the reliability and performance of our systems. Daily tasks include writing infrastructure as code (IaC), developing software, maintaining system administration, and working within Linux environments. This role requires close collaboration with various technical teams to optimize deployment workflows and system operations. Qualifications Proficiency in Infrastructure as Code (IaC) Experience in Software Development and Continuous Integration Strong System Administration skills Expertise in Linux environments Excellent problem-solving and analytical skills Ability to work on-site in Noida Bachelor's degree in Computer Science, Engineering, or a related field is preferred Job Responsibilities: Automating, streamlining, and managing the software deployment pipeline, infrastructure, and operations Automate build, test, and deployment processes Manage servers, networks, and cloud infrastructure Monitor application health and performance Maintain CI/CD pipelines Ensure reliability and scalability
About Crenovent Technologies: Crenovent is building RevAi Pro , a next-generation Revenue Orchestration Platform designed for CROs, CMOs, RevOps leaders, and customer-facing teams across verticals like SaaS, Banking, Insurance, E-commerce, and IT Services. Our platform combines AI Agents , Workflow Automation , and Industry-Specific Intelligence to deliver better forecasting, follow-ups, cadence, and execution for revenue teams. We're now scaling the platform across modules like: Cruxx (Next Step Management) Let’s Meet (AI Meeting Assistant) Quota & Compensation Voice of Customers Revenue Dashboards & Planning Action Center for AI Agents and Workflows Your responsibilities: Design and develop scalable frontend interfaces using React / Next.js / TailwindCSS Build backend APIs and microservices using Python (FastAPI) and PostgreSQL Integrate with 3rd-party platforms like Salesforce, HubSpot, MS Dynamics, Snowflake, Slack, Notion Implement role-based access control (RBAC) , workflow orchestration, and dynamic dashboards Work closely with product managers, AI engineers, and designers to translate business requirements into production-grade software Optimize performance and scalability for enterprise-scale deployments Contribute to DevOps (CI/CD, Docker, Kubernetes, logging/monitoring) Tech Stack Frontend : React, Next.js, TailwindCSS, TypeScript Backend : Python, FastAPI, PostgreSQL, Redis AI Integration : OpenAI GPT-4, LangChain, Vector DBs (e.g., Weaviate or Pinecone) Data Integration : REST/GraphQL APIs, Webhooks, ETL Pipelines DevOps : Docker, Kubernetes, GitHub Actions, AWS/GCP/Azure Tools : Grafana, Postman, Swagger, Terraform Required Skills 2–4 years of experience as a full stack developer in SaaS or enterprise software Proficiency in building APIs and scalable services using Python Strong experience with ReactJS and modern frontend architectures Experience with PostgreSQL and writing efficient SQL queries Hands-on experience with authentication/authorization flows , especially RBAC Familiarity with LLM APIs , WebSocket/real-time notifications, and microservices architecture Ability to write clean, modular, testable code Experience with CI/CD , Docker , and managing staging/prod environments Nice to Have Exposure to CRM systems (Salesforce, MS Dynamics) Experience working with AI/ML teams or integrating LLMs in apps Knowledge of industry-specific challenges in SaaS, BFSI, or RevOps Prior work in building dashboard-heavy, workflow-oriented enterprise apps Knowledge of data pipelines, scheduling , and event-driven systems
Company Description Crenovent is a company that helps customers build their Enterprise Revenue Fabric by integrating all revenue data streams into a single, coherent platform. This platform provides seamless access and deep insights across sales, marketing, customer success, and partner teams. By building a strong data and process foundation, Crenovent enables customers to transform their operations into an AI-empowered Revenue Fabric. Role Description This is a full-time on-site role for a Marketing and Business Development Intern located in Noida. The intern will be responsible for conducting market research, developing marketing strategies, assisting in sales activities, and providing customer service. Day-to-day tasks will include collecting and analyzing market data, creating marketing materials, supporting the sales team, and ensuring customer satisfaction. Key Responsibilities 1. Digital Marketing Execution Plan and run social media campaigns (LinkedIn & Twitter) targeting B2B SaaS decision-makers Write engaging content: blogs, product updates, micro-posts, and emailers Support SEO activities (keyword research, metadata optimization, backlinks) Assist with content strategy for our website, newsletters, and product explainer pages Collaborate on performance tracking and analytics (GA4, UTM links, dashboards) 2. Customer Outreach & Campaign Management Create and manage outbound outreach campaigns. Segment lead lists by industry, function, and use-case relevance Write short, persuasive copy for cold emails, LinkedIn outreach, and follow-ups Run A/B tests for subject lines and calls to action Coordinate personalized campaigns for top ICP accounts in coordination with sales team Track campaign performance, lead scores, and CRM hygiene 3. Business Development Support Conduct competitive and market research on SaaS companies, verticals, and GTM trends Assist in identifying and qualifying leads based on RevAi Pro’s ICP Help prepare pitch decks, one-pagers, and outreach scripts Support the sales team with scheduling, lead enrichment, and CRM entries Attend demo calls (optional) and help prepare follow-up collaterals Explore partnerships with agencies, accelerators, or distribution partners Qualifications Strong Communication skills Experience in Market Research and developing Marketing Strategies Sales skills and ability to support sales activities Customer Service skills Excellent organizational and multitasking abilities Ability to work independently and as part of a team Proficiency in Microsoft Office and relevant marketing software Bachelor's degree in Marketing, Business, or a related field (or currently pursuing one) What You’ll Gain Mentorship and cross-functional exposure in marketing, growth, and sales Deep learning about SaaS GTM , product-led growth, and enterprise selling Portfolio of live campaigns, written work, and outreach analytics Certificate of Internship and strong Letter of Recommendation Priority consideration for Pre-Placement Offer (PPO)
Company Description Crenovent is a company that helps customers build their Enterprise Revenue Fabric by integrating all revenue data streams into a single, coherent platform. This platform provides seamless access and deep insights across sales, marketing, customer success, and partner teams. By building a strong data and process foundation, Crenovent enables customers to transform their operations into an AI-empowered Revenue Fabric. Role Description We’re looking for a data-driven, creative, and hands-on Growth Marketing Manager to drive pipeline growth, brand awareness, and conversion efficiency. You’ll work across the funnel—from content to campaigns, SEO to paid ads, and product positioning to performance analytics. Key Responsibilities Strategy & Planning Build and execute the full-funnel growth marketing strategy for product-led and sales-led growth Own campaign calendar aligned to product releases, GTM priorities, and verticals (SaaS, Banking, Insurance) Acquisition & Demand Generation Launch and optimize paid acquisition campaigns (LinkedIn, Google, Reddit, etc.) Develop account-based marketing (ABM) campaigns targeting ICPs across mid-market and enterprise Manage email marketing , outbound nurture, and in-product messaging flows Product & Brand Marketing Help refine positioning, messaging, and competitive differentiation Enable Sales with battlecards, case studies, one-pagers Partner with Product and Design for website refreshes and product launches Requirements 1–2 years of experience in growth/demand marketing, ideally in a SaaS or enterprise tech company Strong understanding of RevOps, CRM tools, and GTM workflows Proficiency with marketing stack: HubSpot, GA4, LinkedIn Ads, Google Ads, Hotjar, SEMrush, or similar Demonstrated success with pipeline contribution and performance marketing Ability to balance strategic thinking with hands-on execution
About the Company: Crenovent Technologies is the developer of RevAi Pro — an AI-native revenue operations platform that brings together pipeline visibility, forecasting governance, AI-driven meeting intelligence, and CRM + communication integration. The platform serves large software, BFSI, and insurance companies with advanced automation and governance capabilities. Role Overview: We are hiring a Senior QA Automation Engineer to take end-to-end ownership of testing and quality assurance for our RevAi Pro platform. You will be responsible for developing and maintaining the automation test suite, validating our complex workflows, enforcing governance policies in test environments, and ensuring high confidence in every release. Key Responsibilities: Design and implement automation test suites using Cypress, Playwright, or Selenium. Build and maintain API test libraries using Postman, REST Assured, or Newman. Validate role-based access control (RBAC) and row-level security (RLS) functionality across multi-tenant user hierarchies. Automate core workflows including OrgImport, Cruxx task routing, Forecast module, and AI agent triggers. Integrate testing pipelines into GitHub Actions or Azure DevOps for pre-merge checks, ring-based rollouts, and regression runs. Create and maintain a traceability matrix mapping user stories to test cases and coverage reports. Perform non-functional testing including performance (using k6), accessibility (WCAG 2.1 with axe-core), and basic security scanning (OWASP ZAP, Trivy). Build test cases for CRM integration flows involving Salesforce, HubSpot, and Microsoft Teams with OAuth, webhook replay, and sync drift validation. Simulate AI-based workflows from meeting summary to Cruxx creation to governance-triggered escalations. Own regression coverage across modules including Action Center, Dashboard views, Compensation Planning, and Agent Orchestration. Provide reliable test data and stable test environments for feature development and UAT. Requirements: Minimum 5 years experience in quality engineering with at least 3 years in automation roles. Hands-on experience with Cypress or Playwright for UI automation. Strong API testing skills using Postman or REST Assured. Deep understanding of access control models (RBAC/RLS) and multi-tenant SaaS architecture. Experience with continuous integration pipelines and automated testing workflows. Clear communication, strong analytical thinking, and meticulous attention to edge cases and regression risks. Proven ability to build stable and scalable automated test frameworks across frontend, backend, and integration boundaries. Preferred Qualifications: Experience testing AI/ML-based workflows or LLM-driven product flows. Familiarity with CRM schema (Salesforce, HubSpot, Zoho) and communication platforms (Teams, Gmail). Knowledge of feature flag testing and progressive delivery. Exposure to infrastructure-level testing (Terraform plan validation, Kubernetes health). Tools and Technologies Used: Cypress, Playwright, Selenium Postman, REST Assured, Newman GitHub Actions, Azure DevOps Jira, Xray/Zephyr k6, axe-core, OWASP ZAP Mixpanel, Grafana, Sentry Success Metrics: ≥ 90% regression coverage across core workflows < 0.1 escaped critical bugs (P1/P2) per month ≥ 20 test stories automated per sprint 95%+ pipeline reliability across CI/CD stages
Job Title: AI Agent Platform Engineer Location: Noida Department: Product Engineering – RevAi Pro Role Overview You will be responsible for designing, developing, and scaling the AI Agent Framework that powers automation-first modules in RevAi Pro, such as Tell Me , Action Center , and intelligent AI agents . This role is critical to shaping the core foundation of how automation, enterprise search, and just-in-time execution work inside our platform. Key Responsibilities 1. Agent Architecture & Runtime Architect and implement the core orchestration engine for AI agents (event-driven/task-based) Manage agent lifecycle functions such as spawn, pause, escalate, and terminate Enable secure, real-time communication between agents, services, and workflows Integrate memory and retrieval systems using vector databases like Pinecone, Weaviate, or Qdrant 2. LLM Integration & Prompt Engineering Integrate LLM providers (OpenAI, Azure OpenAI, Anthropic, Mistral, etc.) into agent workflows Create modular prompt templates with retry/fallback mechanisms Implement chaining logic and dynamic tool use for agents using LangChain or LlamaIndex Develop reusable agent types such as Summarizer, Validator, Notifier, Planner, etc. 3. Backend API & Microservices Development Develop FastAPI-based microservices for agent orchestration and skill execution Create APIs to register agents, execute agent actions, and manage runtime memory Implement RBAC, rate limiting, and security protocols for multi-tenant deployments 4. Data Integration & Task Routing Build connectors to integrate structured (CRM, SQL) and unstructured data sources (email, docs, transcripts) Route incoming data streams to relevant agents based on workflow and business rules Support ingestion from tools like Salesforce, HubSpot, Gong, and Zoom 5. DevOps, Monitoring, and Scaling Deploy the agent platform using Docker and Kubernetes on Azure Implement Redis, Celery, or equivalent async task systems for agent task queues Set up observability to monitor agent usage, task success/failure, latency, and hallucination rates Create CI/CD pipelines for agent modules and prompt updates Ideal Candidate Profile 2–4 years of experience in backend engineering, ML engineering, or agent orchestration Strong command over Python (FastAPI, asyncio, Celery, SQLAlchemy) Experience with LangChain, LlamaIndex, Haystack, or other orchestration libraries Hands-on with OpenAI, Anthropic, or similar LLM APIs Comfortable with vector embeddings and semantic search systems Understanding of modern AI agent frameworks like AutoGen, CrewAI, Semantic Planner, or ReAct Familiarity with multi-tenant API security and SaaS architecture Bonus: Frontend collaboration experience to support UI for agents and dashboards Bonus: Familiarity with SaaS platforms in B2B domains like RevOps, CRM, or workflow automation What You’ll Gain Ownership of agent architecture inside a live enterprise-grade AI platform Opportunity to shape the future of AI-first business applications Collaboration with founders, product leaders, and early enterprise customers Competitive salary with potential ESOP First-mover engineering credit on one of the most advanced automation stacks in SaaS
You will be responsible for designing, developing, and scaling the AI Agent Framework that powers automation-first modules in RevAi Pro, such as Tell Me, Action Center, and intelligent AI agents. This role is critical to shaping the core foundation of how automation, enterprise search, and just-in-time execution work inside our platform. Architect and implement the core orchestration engine for AI agents (event-driven/task-based). Manage agent lifecycle functions such as spawn, pause, escalate, and terminate. Enable secure, real-time communication between agents, services, and workflows. Integrate memory and retrieval systems using vector databases like Pinecone, Weaviate, or Qdrant. Integrate LLM providers (OpenAI, Azure OpenAI, Anthropic, Mistral, etc.) into agent workflows. Create modular prompt templates with retry/fallback mechanisms. Implement chaining logic and dynamic tool use for agents using LangChain or LlamaIndex. Develop reusable agent types such as Summarizer, Validator, Notifier, Planner, etc. Develop FastAPI-based microservices for agent orchestration and skill execution. Create APIs to register agents, execute agent actions, and manage runtime memory. Implement RBAC, rate limiting, and security protocols for multi-tenant deployments. Build connectors to integrate structured (CRM, SQL) and unstructured data sources (email, docs, transcripts). Route incoming data streams to relevant agents based on workflow and business rules. Support ingestion from tools like Salesforce, HubSpot, Gong, and Zoom. Deploy the agent platform using Docker and Kubernetes on Azure. Implement Redis, Celery, or equivalent async task systems for agent task queues. Set up observability to monitor agent usage, task success/failure, latency, and hallucination rates. Create CI/CD pipelines for agent modules and prompt updates. Ideal Candidate Profile: - 2-4 years of experience in backend engineering, ML engineering, or agent orchestration. - Strong command over Python (FastAPI, asyncio, Celery, SQLAlchemy). - Experience with LangChain, LlamaIndex, Haystack, or other orchestration libraries. - Hands-on with OpenAI, Anthropic, or similar LLM APIs. - Comfortable with vector embeddings and semantic search systems. - Understanding of modern AI agent frameworks like AutoGen, CrewAI, Semantic Planner, or ReAct. - Familiarity with multi-tenant API security and SaaS architecture. - Bonus: Frontend collaboration experience to support UI for agents and dashboards. - Bonus: Familiarity with SaaS platforms in B2B domains like RevOps, CRM, or workflow automation. What You'll Gain: - Ownership of agent architecture inside a live enterprise-grade AI platform. - Opportunity to shape the future of AI-first business applications. - Collaboration with founders, product leaders, and early enterprise customers. - Competitive salary with potential ESOP. - First-mover engineering credit on one of the most advanced automation stacks in SaaS.,
Job Description – Senior Data Integration Engineer (Azure Fabric + CRM Integrations) Location: Noida Employment Type: Full-time About Crenovent Technologies Crenovent is building RevAi Pro , an enterprise-grade Revenue Operations SaaS platform that integrates CRM, billing, contract, and marketing systems with AI agents and Generative AI search. Our vision is to redefine RevOps with AI-driven automation, real-time intelligence, and industry-specific workflows. We are now hiring a Senior Data Integration Engineer to lead the integration of CRM platforms (Salesforce, Microsoft Dynamics, HubSpot) into Azure Fabric and enable secure, multi-tenant ingestion pipelines for RevAi Pro. Role Overview You will be responsible for designing, building, and scaling data pipelines that bring CRM data into Azure Fabric (OneLake, Data Factory, Synapse-style pipelines) and transform it into RevAi Pro’s standardized schema (50+ core fields, industry-specific mappings) . This is a hands-on, architecture + build role where you will work closely with RevOps SMEs, product engineers, and AI teams to ensure seamless data availability, governance, and performance across multi-tenant environments. Key Responsibilities Data Integration & Pipelines Design and implement data ingestion pipelines from Salesforce, Dynamics 365, and HubSpot into Azure Fabric. Build ETL/ELT workflows using Azure Data Factory, Fabric pipelines, and Python/SQL. Ensure real-time and batch sync options for CRM objects (Leads, Accounts, Opportunities, Forecasts, Contracts). Schema & Mapping Map CRM fields to RevAi Pro’s standardized schema (50+ fields across industries) . Maintain schema consistency across SaaS, Banking, Insurance, and E-commerce use cases. Implement data transformation, validation, and enrichment logic. Data Governance & Security Implement multi-tenant isolation policies in Fabric (Purview, RBAC, field-level masking). Ensure PII compliance, GDPR, SOC2 readiness . Build audit logs, lineage tracking, and monitoring dashboards. Performance & Reliability Optimize pipeline performance (latency, refresh frequency, cost efficiency). Implement autoscaling, retry logic, error handling in pipelines. Work with DevOps to set up CI/CD for Fabric integrations. Collaboration Work with RevOps SMEs to validate business logic for CRM fields. Partner with AI/ML engineers to expose clean data to agents and GenAI models. Collaborate with frontend/backend developers to provide APIs for RevAi Pro modules. Required Skills & Experience 3+ years in Data Engineering / Integration roles. Strong expertise in Microsoft Azure Fabric , including: OneLake , Data Factory , Synapse pipelines , Power Query . Hands-on experience with CRM APIs & data models : Salesforce, Dynamics 365, HubSpot. Strong SQL and Python for data transformations. Experience with ETL/ELT workflows , schema mapping, and multi-tenant SaaS data handling. Knowledge of data governance tools (Azure Purview, RBAC, PII controls) . Strong grasp of cloud security & compliance (GDPR, SOC2, HIPAA optional) . Preferred (Nice to Have) Prior experience building integrations for Revenue Operations, Sales, or CRM platforms . Knowledge of middleware (MuleSoft, Boomi, Workato, Azure Logic Apps). Familiarity with AI/ML data pipelines . Experience with multi-cloud integrations (AWS, GCP) . Understanding of business RevOps metrics (pipeline, forecast, quota, comp plans). Soft Skills Strong ownership and problem-solving ability. Ability to translate business needs (RevOps fields) into technical data pipelines. Collaborative mindset with cross-functional teams. Comfortable working in a fast-paced startup environment .
Crenovent Technologies is a product-based SaaS-AI startup dedicated to developing cutting-edge revenue operations platforms, including RevAI Pro and RevOp Max. Our innovative AI-first solutions are designed to empower Sales, Marketing, Customer Success, and RevOps professionals by providing actionable insights in real-time to drive growth and streamline GTM execution. As a Data Science Lead at Crenovent Technologies, you will play a crucial role in collaborating with our engineering and product teams to enhance our SaaS applications with GenAI capabilities and AI agents. The successful candidate will leverage their expertise in machine learning, LLMs, model deployment, and data-driven architecture to deliver real-time intelligence solutions for revenue teams. Your responsibilities will include leading the design and development of ML models and GenAI agents, overseeing the end-to-end model lifecycle from data preprocessing to deployment, working closely with backend and frontend developers to integrate ML/AI models into production, conducting research on LLMs and vector databases for tailored insights, and building scalable AI systems for user-facing recommendations. The ideal candidate should possess a B.Tech/M.Tech or equivalent degree in Computer Science, Data Science, AI, or related fields, along with a minimum of 4 years of hands-on experience in Machine Learning, NLP, Deep Learning, and GenAI. Proficiency in Python, TensorFlow/PyTorch, Scikit-learn, Pandas, as well as experience with LLMs, embeddings, and vector databases, will be essential for success in this role. If you are passionate about leveraging AI technologies to drive business growth, possess a strong technical background in data science, and thrive in a fast-paced startup environment, we encourage you to apply for this exciting opportunity at Crenovent Technologies.,
Job Description – Data Integration & Architecture Engineer Location: Noida Team: Platform Engineering – RevAi Pro Type: Full-time About Us Crenovent Technologies is building RevAi Pro , a next-gen revenue operations platform that unifies data, AI agents, and SaaS workflows across industries (SaaS, Banking, Insurance, E-commerce, and Financial Services). Our platform uses Azure Fabric + PostgreSQL + pgvector to power near real-time revenue intelligence with deep compliance, governance, and multi-tenancy at its core. As part of our early engineering team, you’ll work on the foundational data architecture that powers everything from AI meeting assistants to compensation modelling. The Role We are looking for a Data Integration & Architecture Engineer who will design and operate the pipelines that unify CRM, billing, support, and SaaS app data into our Azure-native data fabric. You’ll own the Bronze → Silver → Gold transformations, Fabric → Postgres egress flows, and tenant-level governance models . This role sits at the intersection of data engineering and platform architecture — perfect for someone who enjoys solving complex data puzzles and wants to grow into a Lead Data Architect role. What You’ll Do Build ingestion pipelines (CDC, batch, webhook, file-based) from CRMs (Salesforce, Dynamics, HubSpot), billing systems (Stripe, Zuora), and support tools (Zendesk, JSM) into Azure Fabric Bronze/Silver layers . Curate standardized models in Fabric Silver → Gold using Canonical RevAi Schema (CRS), including SCD2 handling, PII tagging, and business-rule conformance. Operate low-latency egress pipelines from Fabric → Postgres (staging → ext_* → app consumption), ensuring subsecond query performance for AI agents. Implement tenant isolation via RLS in Postgres and Purview policies in Fabric, ensuring strict multi-tenancy and compliance with residency rules. Own observability & SLAs : freshness checks, rowcount anomaly detection, and DQ tests across Bronze/Silver/Gold. Contribute to FinOps dashboards by instrumenting pipeline cost metrics, cache hit rates, and egress efficiency. Collaborate with AI engineers to ensure pgvector embeddings and agent run data integrate seamlessly into the operational data store. Write runbooks for DR/retention/erasure, and actively participate in quarterly pen-test preparations. What We’re Looking For Must-Have Skills: 2–4 years in data engineering / integration roles . Hands-on with Azure Data Factory, Azure Fabric (OneLake/Lakehouse), or equivalent (Databricks/Snowflake acceptable) . Strong SQL and PostgreSQL experience (MERGE, staging, RLS, partitioning). Experience with CDC, batch ingestion, or event streaming (Airflow, dbt, Kafka, or Fabric pipelines). Comfort with data governance concepts (Purview, PII tagging, masked views, data lineage). Nice-to-Have Skills: Knowledge of pgvector, embeddings, or AI data models . Prior exposure to multi-tenant SaaS architectures . Experience with observability tooling (freshness checks, data quality gates, anomaly detection). Familiarity with FinOps or cost-optimization in data pipelines .
Job Description: Business Development Manager Location: Noida About Crenovent Technologies Crenovent Technologies is building RevAI Pro — a cloud-native, AI-driven Revenue Operations platform that unifies CRM, Marketing Automation, Billing, and Contract Management systems. With advanced AI agents, GenAI search, and intelligent automation , we help enterprises in Software/SaaS, Banking, Insurance, E-commerce, IT Services, and Financial Services orchestrate their entire Revenue Lifecycle — from planning to pipeline, forecasting, compensation, and customer success. We’re backed by forward-looking investors and are on a mission to redefine how revenue leaders drive predictable growth . Role Overview As a Business Development Representative (BDR) at Crenovent, you will be the frontline of our revenue engine . Your mission is to identify, engage, and qualify high-potential prospects across our target industries, setting the foundation for Account Executives to close deals. You will leverage our own RevAI Pro platform (AI Meeting Assistant, Revenue Intelligence, Next Step Management, and more) to work smarter, not harder — driving efficiency in prospecting and engagement. This is a high-energy role ideal for someone passionate about enterprise SaaS, AI, and revenue transformation . You’ll collaborate closely with Marketing, Sales, and Product teams, providing valuable market feedback and ensuring we reach the right accounts with the right message. Key Responsibilities Lead Generation & Prospecting Lead Qualification Pipeline Creation & Handoff Collaboration & Feedback Leverage AI & Automation Qualifications 1–3 years of experience in Sales Development, Sales, or Business Development (preferably in SaaS, IT Services, or B2B enterprise technology). Strong communication skills (written & verbal), with the ability to engage C-level executives. Familiarity with CRM platforms (Salesforce, Dynamics 365, HubSpot) and sales engagement tools (SalesLoft, Outreach, Apollo, ZoomInfo) . Understanding of B2B revenue operations (sales, marketing, customer success, finance workflows) is a strong plus. Curiosity and willingness to learn how AI & automation are reshaping revenue functions. Bachelor’s degree in Business, Marketing, Technology, or related field. Key Skills Prospecting & lead generation Cold calling, emailing, and social selling Qualification frameworks (BANT, MEDDICC, CHAMP) CRM hygiene & pipeline management Collaboration with cross-functional teams Data-driven mindset with ability to use dashboards & analytics Resilience, coachability, and growth mindset Performance Metrics (KPIs) Meetings booked per month (vs. target). Qualified pipeline created ($ value) . Lead-to-opportunity conversion rate . Activity metrics : daily calls, emails, LinkedIn touches. Feedback contributions to Product & Marketing teams.
Job Description: Business Development Manager Location: Noida About Crenovent Technologies Crenovent Technologies is building RevAI Pro — a cloud-native, AI-driven Revenue Operations platform that unifies CRM, Marketing Automation, Billing, and Contract Management systems. With advanced AI agents, GenAI search, and intelligent automation, we help enterprises in Software/SaaS, Banking, Insurance, E-commerce, IT Services, and Financial Services orchestrate their entire Revenue Lifecycle — from planning to pipeline, forecasting, compensation, and customer success. We’re backed by forward-looking investors and are on a mission to redefine how revenue leaders drive predictable growth. Role Overview As a Business Development Manager at Crenovent, you will be the frontline of our revenue engine. Your mission is to identify, engage, and qualify high-potential prospects across our target industries, setting the foundation for Account Executives to close deals. You will leverage our own RevAI Pro platform (AI Meeting Assistant, Revenue Intelligence, Next Step Management, and more) to work smarter, not harder — driving efficiency in prospecting and engagement. This is a high-energy role ideal for someone passionate about enterprise SaaS, AI, and revenue transformation. You’ll collaborate closely with Marketing, Sales, and Product teams, providing valuable market feedback and ensuring we reach the right accounts with the right message. Key Responsibilities Lead Generation & Prospecting Lead Qualification Pipeline Creation & Handoff Collaboration & Feedback Leverage AI & Automation Qualifications 1–3 years of experience in Sales Development, Sales, or Business Development (preferably in SaaS, IT Services, or B2B enterprise technology). Strong communication skills (written & verbal), with the ability to engage C-level executives. Familiarity with CRM platforms (Salesforce, Dynamics 365, HubSpot) and sales engagement tools (SalesLoft, Outreach, Apollo, ZoomInfo). Understanding of B2B revenue operations (sales, marketing, customer success, finance workflows) is a strong plus. Curiosity and willingness to learn how AI & automation are reshaping revenue functions. Bachelor’s degree in Business, Marketing, Technology, or related field. Key Skills Prospecting & lead generation Cold calling, emailing, and social selling Qualification frameworks (BANT, MEDDICC, CHAMP) CRM hygiene & pipeline management Collaboration with cross-functional teams Data-driven mindset with ability to use dashboards & analytics Resilience, coachability, and growth mindset Performance Metrics (KPIs) Meetings booked per month (vs. target). Qualified pipeline created ($ value). Lead-to-opportunity conversion rate. Activity metrics: daily calls, emails, LinkedIn touches. Feedback contributions to Product & Marketing teams.