Forward Deployed Engineer

Who are we

Whatfix is an AI platform advancing the userization of enterprise applications empowering companies to maximize the ROI of their digital investments. Technology needs adoption. Its 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 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 worlds only System plus Role simulation with a complete assessment to lead the Gen AI simulation category.

Together these products reflect Whatfixs 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 enablementensuring AI is not only embedded but also usable trusted and outcome-driven for every employee.

At Whatfix were not just making software easierwere 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.

Whatfixs 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 & Statistas High-Growth Companies Asia-Pacific 2025 list.
• Won the Silver for Stevies 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

The Role

Were hiring a Forward Deployed Engineer for a new AI native product within Whatfix Labs and another product in stealth. Youll engage directly with customers find the use case build it on the products and own the outcome through pilot into production.

What Youll Do

• Own end-to-end delivery for multiple enterprise accounts at a time: discovery building custom demos scoping POC/Pilot success criteria building the automation running evals and driving go-live.
• Work directly with customers to map workflows and translate SOPs into prompts just-in-time context and configurations (incl. unattended mode) and integrations with customers tech infrastructure.
• Visualize and map how the products interact with various third-party enterprise applications; design end-to-end data and information flows anticipate multi-system integration bottlenecks and proactively build mitigation strategies for both live use cases and eval suites.
• Build eval suites and fix gaps to establish accuracy and determinism before sign-off.
• Debug failures iterate on just in time context/prompts and tune the automation until its production-ready.
• After sign-off validate in the customers production environment track usage/success and resolve gaps post-go-live.
• Configure the products tooling end to end: set up MCP servers/connectors define and orchestrate tool calls and engineer just-in-time context so the automation has exactly what it needs at each step.
• Write and iterate the prompts instructions and structured context that drive the automation - treating prompt and context design as a core engineering deliverable.
• Design and run eval suites that measure accuracy determinism and edge-case handling and use eval results to gate readiness for sign-off (esp. for unattended mode).
• Travel to customer sites in the US/EU as needed for discovery workshops and go-live support in addition to late-evening calls across time zones.
• Contribute reusable assets - use cases prompts templates integrations - back to the pods shared playbook.
• Help stand up repeatable 01 automation patterns and replicate them across your accounts.
• Maintain a clear project tracker for your account(s) and flag capability gaps or recurring requirements to the FDE Lead and Product team.
• Represent the products in customer-facing demos and workshops.
• You work with customers across the world it means you need to plan your schedule to be available for calls in the late evenings

What Were Looking For

• 4 years in a customer-facing technical role: forward-deployed engineering solutions engineering implementation consulting with enterprise software/SaaS.
• Proven ability to scope ambiguous customer problems into a working solution fast with minimal hand-holding.
• Comfortable being hands-on with prompts automation logic and debugging.
• Strong communication with both customers and internal stakeholders.
• Strong systems thinking mindset with the ability to conceptualize how different technical components across multiple legacy and modern applications wire together. Exposure to AI agents RPA or workflow automation is a strong plus; familiarity with enterprise applications (SAP Ariba Salesforce D365 SuccessFactors) is a plus.
• Experience designing holistic testing architectures that simulate multi-system workflows to validate accuracy error handling and edge cases across the entire data lifecycle.
• Hands-on applied-AI skills: writing effective prompts and context configuring MCP servers wiring tool/function calls and building evals to validate LLM-driven automations. Deep ML or model-training experience is not required.
• A genuine engineering foundation is non-negotiable - this is a 50:50 engineering / customer-facing role. Strong customer instincts without hands-on technical depth wont surface the right questions or debug the hard cases.
• Comfort reasoning about non-determinism failure modes and guardrails when moving an LLM/agent workflow toward production reliability.
• Comfortable with ambiguity: this is a new role/model were actively shaping with the market.

What Success Looks Like

• Quickly ship demos and solutions to convert customers to pilots and full license.
• Pilots and go-lives consistently hit success criteria for converting accounts to paid.

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
• In any situation that requires additional flexibility were open to considering exceptions on a case-by-case basis to ensure youre supported in managing both work and life seamlessly.