DevRev

DevRev’s AgentOS, purpose-built for SaaS companies, comprises three modern CRM apps for support, product, and growth teams. It connects end users, sellers, support, product people, and developers, reducing 9 business apps and converging 6 teams onto a common platform.Unlike horizontal CRMs, DevRev takes a blank canvas approach to collaboration, AI, and analytics, enabling SaaS companies to increase product velocity and reduce customer churn. DevRev is used by thousands of companies in search of low latency analytics and customizable LLMs to thrive in this era of GenAI.Headquartered in Palo Alto, California, DevRev has offices in seven global locations. We have raised $100 million in funding from investors like Khosla Ventures and Mayfield at a $1.1 billion valuation. We are also honored to be named on the Forbes 2024 list of America’s Best Startup Employers. Founded in October 2020 by Dheeraj Pandey, former co-founder and CEO of Nutanix, and Manoj Agarwal, former SVP of Engineering at Nutanix, DevRev continues to push the boundaries of innovation, helping thousands of companies thrive in the rapidly evolving landscape of AI-driven SaaS.

Job Description

As an Applied AI 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, Java, 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 ETL and/ or real-time communication approaches. You will be expected to employ your creativity and expertise to ideate and shape how AI, analytics and workflows are used in customers' processes.

Objectives of this role will include:

Design, develop and implement integrations, automations and customizations to integrate DevRev with customers’ tech stack and workflows, and ensure successful customer engagements.
Integrate DevRev with other SaaS and non-SaaS systems through ETL and/ or real-time communication technical architecture
Utilize AI in novel ways to solve customer problems, including Generative AI techniques like prompt engineering for foundation large language models (LLMs) to enable great AI agent experience.
Work on semantic search engine fine-tuning for better search accuracy.
Conduct data analysis, writing SQL queries, and building dashboards to share insights and drive decision-making.
Be proactive in communicating and keeping constant feedback loops to all key stakeholders including Customers, Engineering, Product, Customer Success & Support, Revenue, Marketing etc.
Learn new tools and guide customers through critical workflows, e.g. integration with code repositories.

Ideal Candidate Qualifications:

Proficient in TypeScript/JavaScript, Python, Go, and SQL
Deep understanding of APIs, webhooks, callbacks, and OpenAPI specifications
Experienced in data synchronization (one-way & two-way), event-driven/pub-sub architectures, and secure API integrations (OAuth, API key management, secret vaults)
Skilled in integrating third-party SDKs (e.g., Google, Azure) and deploying to serverless/edge platforms (e.g., AWS Lambda, Google Cloud Functions)
Strong focus on resilient integrations, using rate limiting, retries, exponential backoff
Hands-on with data mapping, schema alignment, and error observability

Nice to Have:

Familiarity with Generative AI (GPT-4, prompt engineering, fine-tuning), vector databases, and data embeddings
Experience with Model Context Programming (MCP) for adaptive integrations
Proven ability to triage blockers, manage multiple projects, and deliver in SaaS/ETL environments

Culture

The foundation of DevRev is its culture -- our commitment to those who are hungry, humble, honest, and who act with heart. Our vision is to help build the earth’s most customer-centric companies. Our mission is to leverage design, data engineering, and machine intelligence to empower engineers to embrace their customers.

That is DevRev!

Member of Applied AI Engineering Team ( ETL)