As part of DevRev's Revenue organization in India, PDRs are responsible for expanding DevRev's customer base across the Indian market and building a healthy revenue pipeline. You'll work closely with Partner Business Manager to drive top-of-funnel activity, refine go-to-market messaging for the India market, and provide feedback to Product and Engineering teams.

Key responsibilities

Partner prospecting & activation

• Identify and reach out to prospective reseller, referral, and solutions partners in your region.
• Qualify partner fit based on customer base alignment, industry focus, and revenue potential.
• Set up introductory meetings between prospective partners and the Partner Business Manager (PBM) or Account Executive.

Pipeline development with partners

• Work with active partners to identify net-new opportunities within their customer accounts.
• Support partners in submitting deal registrations and ensure accurate tracking in DevRev.
• Follow up on partner-sourced leads to ensure timely progression through the sales cycle.

AI-powered research & outreach

• Use AI tools (including DevRev Computer) to research partner organizations, map decision-makers, and identify whitespace opportunities.
• Leverage AI to personalize outreach at scale — crafting relevant messaging for partner contacts based on their industry, customer base, and current tech stack.
• Use AI-assisted workflows to automate follow-up sequences, track engagement signals, and prioritize outreach.

Partner enablement support

• Assist in coordinating partner onboarding activities, including access to training materials, certifications, and the partner portal.
• Organize and support partner events, webinars, and co-marketing activities to drive engagement and pipeline.
• Act as the first point of contact for partner queries, routing them to the right internal teams.

CRM & reporting

• Maintain accurate and up-to-date records of all partner interactions, deal registrations, and pipeline activity in DevRev.
• Provide weekly updates on partner pipeline health, outreach activity, and conversion metrics.

Ideal candidate qualifications

• BA/BS or equivalent educational or professional experience.
• 5–10 years of prior experience in partner development, channel sales, or business development, with a proven track record of building and managing partner-led pipelines.
• Prior experience as a Partner Development Representative (PDR) or in a similar partner-facing sales role is strongly preferred.
• Experience selling SaaS or IT-related products to Indian enterprises or mid-market companies through a partner/channel model.
• Demonstrated ability to activate and scale reseller, referral, or solutions partners to drive net-new revenue.
• Comfortable using AI tools for research, outreach, and workflow automation — or eager to learn fast.
• Familiarity with sales engagement platforms (Outplay, Salesloft, or similar).
• Strong understanding of the Indian tech ecosystem — key verticals, buying cycles, and decision-making structures.
• Outstanding communication in English; proficiency in Hindi or a regional language is a plus.
• Ability to build rapport quickly across diverse stakeholders — from partner reps to C-suite decision-makers.

Job Description

We are an untraditional SaaS revenue organization, built to support a rapidly scaling technology start-up driven by product-led-growth and sales (PLG / PLS). Specific responsibilities for account executives include nurturing larger named accounts & enterprise customers - who are looking for a better way to connect with their customers and find product market fit. You will work closely with customers end-to-end throughout their lifecycle - from concept to technical requirements, implementation, adoption, expansion, and paid. This is truly an expansive sales responsibility that spans selling, success, and support. Activities related to this role will, for example, include:

• Build outreach to existing rolodex and new opportunities.
• Relentless manage customer followup and your own pipeline, against quotas.
• Work with our Growth team to increase product awareness.
• Nurture and follow up with customers to share relevant use cases, find key decision makers, and gather requirements.
• Guide customers through implementation plans to further adoption and drive paid conversion.
• Work with our Product and Engineering to share feedback and feature requests.
• Create content and refine scripts to support the customer journey and engagement points.
• Maintain pipeline data and account information in DevRev's in-house CRM.

Ideal Candidate Qualifications:

• New Business Development Skills: Demonstrated ability to identify and pursue new business opportunities, including prospecting, cold calling, and networking to generate leads and expand the customer base.
• Entrepreneurial Spirit: A proactive and innovative approach to sales, with a mindset focused on growth, creativity, and taking ownership of outcomes. This includes a willingness to experiment with new strategies and approaches to achieve sales targets.
• Strategic Thinker: Capable of developing and executing strategic sales plans that align with company objectives and market trends. This involves analyzing market data, identifying growth opportunities, and adapting tactics accordingly.
• Autonomous and Self-Motivated: Comfortable working independently and taking initiative to drive sales initiatives forward. This includes being self-motivated to meet and exceed sales targets without constant supervision.
• Passion and Commitment: Demonstrates a strong passion for the product and industry, coupled with a commitment to delivering exceptional customer service and building long-term relationships.
• Risk-Taker and Resilient: Willingness to embrace risk and overcome setbacks with resilience. Ideal candidate embodies founder's mentality, often entails a high tolerance for ambiguity and the ability to navigate uncertainty.
• Customer-Centric Approach: Prioritizes understanding customer needs and providing tailored solutions that add value and drive customer satisfaction.
• Innovative Problem Solver: Ability to think creatively to address customer challenges and differentiate the company's offerings in a competitive market.
• Leadership Potential: Exhibits leadership qualities such as vision, influence, and the ability to inspire and motivate others toward shared goals.

The ideal candidate drives immediate sales but also contributes to the overall growth and success of the business through their entrepreneurial mindset and strategic thinking.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

Job Description

• Lead Generation: Identifying and reaching out to potential customers.
• Qualifying Leads: Evaluating the suitability of leads for sales engagement.
• Setting Meetings: Arranging meetings between leads and Sales Representatives.
• Product Knowledge: Understanding and communicating the company's product value.
• Sales Goals: Meeting or exceeding set sales targets.
• Data Management: Logging activities and customer data in a CRM system.
• Team Collaboration: Working with sales and marketing teams

Typically your work week looks like this:

• Research prospects (company profile, decision-makers, needs, contact details etc.)
• Contact prospects through phone, email, networking, and social media to develop sales opportunities
• Set appointments for leads to meet virtually with the sales team
• Maintaining well-organized, up-to-date, and accurate sales information and activity reports within the system

An ideal candidate should have:

• 2+ years in B2B Sales/Business Development.
• Excellent communicator – written, verbal, and visual
• Setting up appointments through social media platforms (LinkedIn, twitter etc.)
• Strong interpersonal and relationship-building skills via Social Networking.
• Comfortable talking to prospects (senior executives) over the phone as well as being in front of a camera (Zoom meetings, webinars, sales videos, etc.)
• Familiarity with CRM and sales outreach tools (e.g. Outreach, ZoomInfo etc.)

You Are :

• Proactive. You prefer taking the initiative to wait for someone to tell you what to do.
• Persistent. You don't give up or view rejection as a setback, you view it as being one step closer to the right answer.
• An Excellent Communicator. You listen, understand and convey your message clearly and concisely.
• Open to change. You're inspired by the endless ways in which everything we do can always be improved.
• Calm under pressure. You have a sense of urgency but channel it into productively working through any issues.

Role Overview

We are looking for a Partner Ecosystem Solutions Engineer to drive technical engagement across Global System Integrators (GSIs) and boutique partners.

This is not a traditional pre-sales role.

You will operate at the intersection of:

• Deep architecture conversations
• Executive-level influence
• Partner enablement and revenue generation

Your goal:

👉 Enable partners to understand, position, and sell DevRev independently
👉 Co-create high-impact enterprise use cases
👉 Drive partner-led pipeline and deal success

What You’ll Do

1. Partner Enablement & Ecosystem Development

• Own technical relationships with GSIs and strategic partners
• Enable partners on:
• DevRev architecture (AI-native, knowledge graph, agentic workflows)
• Differentiation vs legacy CRM + AI stack
• Design and deliver:
• Partner workshops
• Technical bootcamps
• Solution playbooks

2. Architecture & Technical Positioning

• Lead deep-dive discussions on:
• Knowledge graph (“Memory”) architecture
• AI agents and enterprise workflows
• Data ingestion (AirSync vs traditional ETL)
• Clearly articulate differentiation vs (for example):
• Enterprise search tools like Glean
• Microsoft AI stack / Copilots / AI Foundry
• Google Gemini Enterprise
• Legacy CRM + AI bolt-ons (Salesforce, Zendesk, Freshdesk)

3. Enterprise Deal Support (Partner-Led)

• Partner with GSIs in:
• Opportunity shaping
• Use-case discovery
• Solution architecture
• Support:
• Executive briefings (VP, CXO level)
• POVs / POCs
• High-stakes demos

4. Use Case & Solution Development

• Identify high-value use cases across industries:
• BFSI, FinTech, Manufacturing, Travel, etc.
• Translate business problems into:
• AI-driven workflows
• Agent-based solutions
• Package repeatable partner-ready solutions

5. Thought Leadership & Executive Engagement

• Engage with senior stakeholders:
• CIOs, CTOs, Heads of CX, Product Leaders
• Drive conversations around:
• AI transformation
• Operational efficiency
• Unified data + experience platforms
• Represent DevRev in:
• Partner events
• Executive forums
• Strategic workshops

What We’re Looking For

Experience

• 12+ years in Solutions Engineering / Pre-sales / Consulting / Architecture roles
• Strong experience working with:
• Global System Integrators (GSIs) OR
• Enterprise consulting / partner ecosystems

Technical Depth

• Strong understanding of:
• Enterprise architecture
• APIs, integrations, data pipelines, security & compliance 
• AI/ML concepts (RAG, embeddings, agents)
• Ability to go deep technically AND simplify for business audiences

Education (Preferred)

• Engineering background (B.E./B.Tech or equivalent)
• MBA or equivalent business exposure is a strong plus

What Sets You Apart

• You can switch seamlessly between:
• Whiteboarding architecture
• Running a boardroom conversation
• You don’t just respond to deals — you create them
• You understand that:
  Selling through partners ≠ selling directly
  It requires enablement, trust, and leverage

Why This Role Matters

This role is critical to:

• Scaling DevRev beyond direct sales
• Building a strong partner-led GTM motion in India and globally
• Positioning DevRev as the architectural alternative to fragmented AI + CRM stacks

Role Overview

We are looking for domain-first, systems-oriented engineers who understand how real-world systems (in renewable energy, automotive, manufacturing, IoT, etc.) generate and use data — and can translate that into meaningful AI-driven workflows using DevRev.

As a Solutions Engineer, you will act as a trusted advisor, combining domain expertise, engineering depth, and problem-solving to help customers unlock value from their data through DevRev’s AI platform.

You will work closely with Sales, Product, and Engineering to design solutions that go beyond demos — enabling real-world automation, intelligence, and agentic workflows.

Key Responsibilities

• Partner with customers to deeply understand domain workflows, systems, and data flows (e.g., connected vehicles, factory systems, IoT environments)
• Translate real-world signals (sensor data, logs, events) into insights, workflows, and automated actions
• Build and showcase AI-driven workflows, automations, and agentic use cases
• Design and articulate end-to-end solutions (data ingestion → processing → decision → action)
• Act as a technical advisor, guiding customers on how DevRev can integrate into and enhance their existing systems
• Deliver tailored demos, PoCs, and solution walkthroughs grounded in real-world use cases (not generic SaaS demos)
• Support integrations with external systems via APIs, webhooks, and data pipelines
• Contribute to technical proposals, RFP/RFI responses, and solution architectures
• Stay current on industry trends (renewable energy, automotive, manufacturing, IoT, AI) and bring insights into customer conversations

Qualifications & Skills

Domain Expertise 

• Experience in renewable energy, automotive, manufacturing, industrial systems, or IoT environments
• Strong understanding of:
• Connected systems (vehicles, machines, robotics, embedded systems)
• Sensor ecosystems (CAN, telemetry, vision systems, IoT devices)
• Real-world data (signals, logs, time-series)
• Familiarity with manufacturing workflows (inspection, defect detection, production cycles).
• Ability to explain data flow from system → processing → business outcomes

Engineering Depth

• Strong system-level thinking
• Experience with:
• Data pipelines, APIs, integrations, distributed systems
• Experience in Python / TypeScript / JavaScript (or similar)
• Understanding of system design, reliability, and failure handling
• Exposure to AI/ML in industrial use cases (vision systems, predictive maintenance, log-stream analysis, etc.)

Problem Solving & Use Case Thinking

• Ability to translate data → insights → workflows → actions
• Experience designing end-to-end systems
• Strong analytical mindset to identify automation opportunities from real-world signals

AI & Tools

• Exposure to LLMs, RAG, AI agents
• Familiarity with prompt design and AI workflows
• Tools: Postman, GitHub, Jira, Cursor, Claude Code

What You’ll Do:

• Architect the Future of AI Infrastructure: You will design, build, and own the end-to-end platform that supports the entire lifecycle of our ML models—from massive-scale distributed training to ultra-low-latency, highly-available inference.
• Optimize and Serve Cutting-Edge Models: You'll implement and scale sophisticated inference stacks for LLMs using frameworks like vLLM, TensorRT-LLM, or SGLang. You’ll solve complex challenges in throughput, latency, token streaming, and automated scaling to deliver a seamless user experience. 
• Empower AI Innovation: You will act as a strategic partner to our AI Research and Data Science teams. You’ll create a seamless developer experience that accelerates their ability to experiment, fine-tune, and deploy groundbreaking models with velocity and confidence.
• Automate Everything: You'll develop robust CI/CD/CT (Continuous Training) pipelines using tools like Argo Workflows, ArgoCD, and GitHub Actions to automate model validation, deployment, and lifecycle management, ensuring our systems are both agile and rock-solid.

What are we looking for

• Experience: 5+ years in infrastructure or software engineering, with at least 2+ years laser-focused on MLOps or ML infrastructure for large-scale distributed systems.
• Education: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Kubernetes & Cloud Native Expertise: Deep, hands-on expertise with Kubernetes in production. You are fluent in the cloud-native ecosystem, including Helm, ArgoCD, and Argo Workflows.
• GPU & Cloud Mastery: Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment.
• Modern LLM Serving Experience: Hands-on experience with modern LLM inference serving frameworks (e.g., vLLM, SGLang, Triton Inference Server, Ray Serve). You understand the unique challenges of serving generative models.
• Strong Coder: Strong programming proficiency in Python or Go, with experience using ML frameworks like PyTorch, Jax, TensorFlow.
• Observability Mindset: A passion for building observable and resilient systems using modern monitoring tools (e.g., Prometheus, Grafana, OpenTelemetry).

We would love to see:

• Deep performance optimization skills, including writing custom inference kernels in CUDA or Triton to accelerate model performance beyond what off-the-shelf frameworks provide.
• Experience with model optimization techniques like quantization, distillation, and speculative decoding.
• Exposure to training and serving multi-modal models (e.g., text-to-image, vision-language).
• Knowledge of AI safety and evaluation frameworks for monitoring model performance for things like bias, toxicity, and hallucinations.

As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

About the role

About the role

About the Role:

As a Forward Deployed Engineer at DevRev, you will work closely with our pre- and post-sales Customer Experience team by developing solutions over the core platform via applications written in TypeScript, JavaScript, Python, etc. One of the key functions of this role is, building the Knowledge Graph that includes integration of DevRev with other SaaS and non-SaaS systems through webhooks and APIs and/ or real-time communication architectures. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

What You'll Do:

• Customer-facing: 30% working directly with customers.
• Coding & Integration: 70-80% hands-on technical implementation
• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations that connect DevRev with customers' existing tech stacks and workflows.
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow.
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience.
• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making.
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback.
• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, customer success, support, and revenue teams to ensure alignment.
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows like code repository integrations and advanced configurations.
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements.

What You Bring:

• Experience: 5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus.
• Background: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency in TypeScript/JavaScript, Python, data structures and algorithms. (Nice to have: Go)
• Applied AI Knowledge: Familiarity with large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Integration Expertise: Deep experience with large-scale data synchronization (one-way and two-way), API integration patterns (REST, GraphQL, webhooks), and event-driven/pub/sub architectures.
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices (CI/CD, containers, observability).
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems. Understanding of data modeling and graph data structures.
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging and issue resolution.
• Context-Aware Systems: Familiarity with Model Context Programming (MCP) for building adaptive, context-aware integrations.
• Problem-Solving: Strong track record triaging and unblocking both technical and non-technical blockers to keep projects moving forward.
• Documentation: Experience writing concise, well-structured documentation that supports long-term team understanding and seamless onboarding.
• Communication: Strong written and verbal skills to articulate technical concepts to engineers, product teams, and business stakeholders.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.

Job Description

As part of the Revenue organization within DevRev, we are growing our team and hiring talented & ambitious people in the role of Sales Development Representatives (SDRs). Your goal will be to expand DevRev's customer base and build a healthy revenue pipeline for the company, targeting local and US markets. In this role, you will also have an opportunity to refine our go-to-market scripts and provide feedback to our Product and Engineering teams. 

• Lead Generation: Identifying and reaching out to potential customers.
• Qualifying Leads: Evaluating the suitability of leads for sales engagement.
• Setting Meetings: Arranging meetings between leads and Sales Representatives.
• Product Knowledge: Understanding and communicating the company's product value.
• Sales Goals: Meeting or exceeding set sales targets.
• Data Management: Logging activities and customer data in a CRM system.
• Team Collaboration: Working with sales and marketing teams

Typically your work week looks like this:

• Research prospects (company profile, decision-makers, needs, contact details etc.)
• Contact prospects through phone, email, networking, and social media to develop sales opportunities
• Set appointments for leads to meet virtually with the sales team
• Maintaining well-organized, up-to-date, and accurate sales information and activity reports within the system

An ideal candidate should have:

• 2+ years in B2B Sales/Business Development.
• Excellent communicator – written, verbal, and visual
• Setting up appointments through social media platforms (LinkedIn, twitter etc.)
• Strong interpersonal and relationship-building skills via Social Networking.
• Comfortable talking to prospects (senior executives) over the phone as well as being in front of a camera (Zoom meetings, webinars, sales videos, etc.)
• Familiarity with CRM and sales outreach tools (e.g. Outreach, ZoomInfo etc.)

You Are :

• Proactive. You prefer taking the initiative to wait for someone to tell you what to do.
• Persistent. You don't give up or view rejection as a setback, you view it as being one step closer to the right answer.
• An Excellent Communicator. You listen, understand and convey your message clearly and concisely.
• Open to change. You're inspired by the endless ways in which everything we do can always be improved.
• Calm under pressure. You have a sense of urgency but channel it into productively working through any issues.

About the Role:

As a Forward Deployment Architect, you will serve as a hands-on senior technical architect on the Applied AI Engineering team, owning the end-to-end design and delivery of AI-driven business transformation projects.

You'll work closely with pre-sales teams to scope technical integration and implementation strategies, translating business requirements into architectural solutions. Once opportunities move to post-sales, you'll own the detailed technical designs from original scoping documents and drive execution including hands-on coding to build proofs-of-concept, custom integrations, and solution prototypes that validate technical feasibility.

As the technical owner of the customer relationship, you'll partner cross-collaboratively to ensure successful delivery. Your role spans from understanding domain-specific customer needs to architecting scalable, agent-based AI solutions using DevRev's platform**, with direct involvement in implementing key technical components and debugging complex integration challenges.

This position requires a unique blend of enterprise architecture expertise, AI solution design, hands-on development skills, customer empathy, and cross-functional collaboration. You'll act as the connective tissue between pre-sales, customer success, engineering, and product teams, bringing our AI capabilities to life for real-world business impact.

What You'll Do:

• Customer-facing: 20-40% working directly with customers 
• Design & Deploy AI Agents: Build, configure, and launch intelligent agents using the DevRev platform to solve real customer problems.
• Integrate Systems: Connect AI agents with external platforms (e.g., CRMs, APIs, databases) for seamless workflow automation.
• Optimize Performance: Tune prompts, logic, and agent configurations for accuracy, reliability, and scalability.
• Own Requirements: Partner with customers to deeply understand their needs and translate them into technical agent specifications.
• Prototype & Iterate: Lead live demos, build rapid proof-of-concepts, and refine solutions through customer feedback.
• Lead Execution: Define project plans, align internal teams, and ensure timely delivery of deployments.
• Advise Customers: Act as a trusted technical advisor on AI agent architecture, performance, and long-term scalability.

What You Bring:

• Experience: 7+ years in software development, AI/ML engineering, or technical consulting. Customer-facing experience is a plus.
• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• Coding Skills: Strong proficiency using TypeScript/JavaScript, Python, data structures and algorithms, (Nice to have: Go).
• Applied AI Knowledge: Large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions.
• Cloud & DevOps: Hands-on experience with AWS, GCP, or Azure, and modern DevOps practices (CI/CD, containers, observability).
• System Integration: Comfortable integrating systems via APIs, webhooks, and event/data pipelines.
• Data-Driven Mindset: Use A/B testing, telemetry, and metrics to guide decisions and drive improvements.
• Communication: Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholders.
• Customer Empathy: A bias for action and a relentless focus on solving problems for customers.
• Education: Bachelor's degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus.
  
  As part of our hiring process, shortlisted candidates will undergo a Background Verification (BGV). By applying, you consent to sharing personal information required for this process. Any offer made will be subject to successful completion of the BGV.