- Job Type: Full-Time
- Function: Engineering Software
- Industry: Enterprise
- Post Date: 02/19/2026
- Website: whatfix.com
- Company Address: 2107 N 1st St., Suite 450, San Jose, CA 95131, US
About Whatfix
Whatfix is a data-driven digital adoption platform (DAP) that enables organizations and users to maximize the benefits of software. Whatfix acts as an interactive overlay on top of any application to guide users with real-time guidance, self-help support, and user feedback. With product analytics and AI, Whatfix enables scalable success with technology, maximizing productivity, and leveraging data-driven insights for better decision-making.Job Description
Whatfix is an AI platform advancing the “userization” of enterprise applications, empowering companies to maximize the ROI of their digital investments. Technology needs adoption. It’s no different for AI. As AI reshapes roles, workflows, and human-machine interactions, it also introduces new layers of complexity and user friction. This is where Whatfix plays a pivotal role. A decade old DNA of empowering people to succeed with technology and not replacing them. We call this philosophy Userization: the belief that technology must adapt to the user, not the other way around.
At the heart of userization philosophy is ScreenSense, our proprietary AI engine, which continuously interprets both the context of what users are doing in an application or an AI tool and the intent behind their actions. By combining these signals, Whatfix delivers real-time guidance, nudges, knowledge, and automation directly in the flow of work.
This intelligence powers our entire product suite.
- Digital Adoption helps users get productive faster.
- Product Analytics uncovers friction and closes adoption gaps.
- Mirror allows employees to train in safe, simulated environments.
These are ur embedded with Whatfix AI Agents which supercharge creation, insights, and user guidance.
Our upcoming AI-first products are already creating a buzz in the market.
- Seek is an AI-native assistant that not only knows your business context but can also act across applications to get work done on your behalf.
- Whatfix Mirror 2.0 is the world’s only System plus Role simulation with a complete assessment to lead the Gen AI simulation category.
Together, these products reflect Whatfix’s commitment to building enterprise-ready AI teammates that maximize productivity and ROI. It gives users a unified, intelligent way to find answers across systems, apps, and knowledge silos and helps anyone looking to deliver fast and contextual answers.
Whatfix is bridging the gap between rapid technological change and human enablement—ensuring AI is not only embedded but also usable, trusted, and outcome-driven for every employee.
At Whatfix, we’re not just making software easier—we’re making AI work for people.
The company has seven offices across the US, India, UK, Germany, Singapore, and Australia and a presence across 40+ countries.
Customers: 700+ enterprise customers, including 80+ Fortune 500 companies such as Shell, Schneider Electric, and UPS Supply Chain Solutions.
Investors: A total of ~$270 million USD has been raised as yet. Most recently Series E round of $125 Million USD 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, Peak XV Partners, and Stellaris Venture Partners.
Whatfix’s leadership is consistently recognized across top industry analysts and business rankings:
- Won the 2025 AI Breakthrough Award for the Overall AI-based Analytics Solution of the Year
- Only DAP to be recognized as a “Leader” across various DAP reports for the past 5+ years by leading analyst firms like Gartner, Forrester, IDC, and Everest Group.
- With over 45% YoY sustainable annual recurring revenue (ARR) growth, Whatfix is among the “Top 50 Indian Software Companies” as per G2 Best Software Awards.
- Named a Gartner Customers’ Choice for DAP for the second year in a row (2024 and 2025)—the only vendor in the market to earn this distinction consecutively.
- We also boast a star rating of 4.6 on G2 Crowd, 4.5 on Gartner Peer Insights, and a super-high CSAT of 99.8%
- Stevie Award winner in the category (Bronze): Customer Service Department of the Year – Computer Software - 100 or More Employees.
- Winner of the ISG Paragon Innovation Award in partnership with Sophos (customer) for the EMEA region and finalist in the Transformation Award category.
- RemoteTech Breakthrough Awards winner for “Software Asset Management Solution of the Year”
These recognitions are matched by business performance:
- Highest-Ranking DAP on 2023 Deloitte Technology Fast 500™ North America for Fifth Consecutive Year
- Listed on the Financial Times & Statista's High-Growth Companies Asia-Pacific 2025 list.
- Won the Silver for Stevie's Employer of the Year 2023 – Computer Software category and also recognized as Great Place to Work 2022-2023
- Only DAP to be among the top 35% companies worldwide in sustainability excellence with EcoVadis Bronze Medal
About the Role
We are looking for a passionate and experienced Software Engineerl to join our Assistant Pod, which is at the core of redefining how users automate their daily tasks using Vision LLMs and an Agentic Architecture.. This is a unique opportunity to solve deep information retrieval and search relevance challenges using scalable infrastructure, cutting-edge NLP, and Generative AI.As an engineer at this level, you’ll be expected to operate with strong ownership, lead cross-team technical initiatives, and influence design choices that directly impact user experience and business outcomes.
What We’re Looking For
Qualifications
- 6 - 10+ years of experience building backend systems or product platforms at scale.
- Proven track record of owning and delivering complex features from design to deployment.
- Recent exposure or hands-on work with LLMs or GenAI use cases in a product environment.
- Strong problem-solving mindset with a focus on impact and long-term scalability
Must-Have Skills:
- Strong backend engineering background (Java, Go, or Python preferred).
- Experience designing and scaling distributed systems, APIs, and data pipelines.
- Familiarity with cloud infrastructure (AWS/GCP/Azure), caching, and performance optimization.
- Demonstrated ability to translate product requirements into scalable technical designs.
- Experience building or integrating AI-driven product features in SaaS or enterprise environments.
Nice-to-Have:
- Experience building or integrating AI-driven product features in SaaS or enterprise environments.
- Exposure to GenAI technologies such as LLMs, vector databases (Pinecone, Weaviate, FAISS), or RAG-based architectures.
- Familiarity with LangChain, LlamaIndex, or OpenAI API integrations.
- Knowledge of information retrieval, embeddings, or semantic search.
- Hands-on work with content or data systems (SharePoint, Confluence, internal wikis, etc.)
Note:
- We strive to live and breathe our Cultural Principles and encourage employees to demonstrate some of these core values - Customer First; Empathy; Transparency; Fail Fast and scale Fast; No Hierarchies for Communication; Deep Dive and innovate; Trust, Do it as you own it;
- We are an equal opportunity employer and value diverse people because of and not in spite of the differences. We do not discriminate on the basis of race, religion, color, national origin, ethnicity, gender, sexual orientation, age, marital status, veteran status, or disability status
- At Whatfix, we deeply value collaboration, innovation, and human connection. We believe that being together in the office five days a week fosters open communication, strengthens our sense of community, and accelerates innovation—ultimately helping us achieve our goals more effectively. At the same time, we recognize the importance of flexibility in balancing personal and professional priorities. To support this, we offer the option to work from home up to two days per month.
- In any situation that requires additional flexibility, we’re open to considering exceptions on a case-by-case basis to ensure you’re supported in managing both work and life seamlessly.