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Who are we
Founded in 2014 by Khadim Batti and Vara Kumar, Whatfix is a leading global B2B SaaS provider and the largest pure-play enterprise digital adoption platform (DAP). Whatfix empowers companies to maximize the ROI of their digital investments across the application lifecycle, from ideation to training to the deployment of software. Driving user productivity, ensuring process compliance, and improving user experience of internal and customer-facing applications.
Spearheading the category with serial innovation and unmatched customer-centricity, Whatfix is the only DAP innovating beyond the category, positioning itself as a comprehensive suite for GenAI-powered digital adoption, analytics, and application simulation. Whatfix product suite consists of 3 products - DAP, Product Analytics, and Mirror. This product suite helps businesses accelerate ROI on digital investments by streamlining application deployment across its lifecycle.
Whatfix has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries.
Customers: 700+ enterprise customers, including over 80 Fortune 500 companies such as Shell, Microsoft, Schneider Electric, and UPS Supply Chain Solutions.
Investors: Raised a total of $270 million. Most recently Series E round of $125 Million led by Warburg Pincus with participation from existing investor SoftBank Vision Fund 2. Other investors include Cisco Investments, Eight Roads Ventures (A division of Fidelity Investments), Dragoneer Investments, Peak XV Partners, and Stellaris Venture Partners.
On the G2 peer review platform, Whatfix has received 77 Leader badges across all market segments, including Small, Medium, and Enterprise, in 2024, among numerous other industry recognitions.
ABOUT THE TEAM – BIZAPPS AGENTIFICATION
The Bizapps Agentification team sits at the intersection of AI, business operations, and product engineering. We are building the next generation of intelligent process automation — replacing manual, repetitive business workflows with AI agents that think, decide, and act. This is not incremental automation; it's a ground-up rethinking of how internal functions (Sales, HR, Finance, RevOps) operate using agentic AI.
We are looking for a Lead Engineer who can own the design and delivery of agentic solutions end to end.You will work with business stakeholders to identify automation opportunities, design the agent architecture, build it, ship it, and measure adoption.
Role Overview
We are hiring an FDE Lead to own the agentification roadmap for a business domain and build the team that delivers it. This role collapses what would traditionally be a Product Manager, a Designer, and a Staff/Principal Engineer into one person, and adds team leadership on top. You will remain the strongest technical and architectural mind on your pod while being accountable for domain-level business outcomes — not just what your team ships, but the hours saved, error reduction, and adoption those agents drive.
What You'll Do
Set Architecture Standards
Stay Hands-On Where It Matters Most
Own Business Outcomes
What We're Looking For:
Must-Haves
Good to Have
Note:
Job ID: 153367649
Skills:
System Design, Python, Retrieval evaluation methodology, Finance vocabulary, Guardrails and observability, LLM and agentic architectures, Containers and orchestration
Skills:
Hubspot, Python, LLMs, OpenAI, Claude, LlamaIndex, AutoGen, LangChain, Gemini, Salesforce, CrewAI, Anthropic
Skills:
Apis, Git, Gcp, Rest Apis, Azure, Python, AWS, embeddings, Generative AI, LLMs, cloud platforms, vector databases, CI CD, enterprise integrations, Agentic AI, RAG, semantic search
Skills:
Data Pipelines Data Lakehouse and Data Mesh, API Design and Enterprise Integrations, Cloud Architecture AWS Azure GCP, Security Governance and Cost Optimization, AI ML Generative AI and Large Language Models LLMs, Retrieval-Augmented Generation RAG and AI Agents, MLOps CI CD Model Registry and Model Observability
Skills:
Apache Spark, Kubernetes, LangChain, Ray, MLflow, vLLM, Iceberg, Vector Databases, MLOps frameworks, LLM orchestration, full-stack ML applications, LlamaIndex, AI frameworks