Configure and implement Holistic AI for enterprise pilots and production deployments. Translate customer requirements into product configurations and integration patterns, troubleshoot backend deployments, advise on architecture, document runbooks, and relay product feedback to Engineering and Product. Partner with Account Management on complex engagements and communicate with technical and non-technical stakeholders across distributed teams.
Forward Deployed Engineers sit where product, engineering and customers meet. You'll configure and implement Holistic AI for enterprise deployments, make sure it works in real customer environments, and feed what you learn back to Product and Engineering.
This is hands-on delivery work with technical depth, not a UI-only or support-only role. Strong engineers who prefer customer deployment to core platform work may be an excellent fit.
What you'll do
- Lead or support the technical configuration and implementation of Holistic AI for customer pilots and production deployments.
- Translate customer requirements into workable product configurations and integration patterns.
- Use deep product knowledge and backend understanding to troubleshoot deployments and advise on architecture choices.
- Partner with Account Management on complex customer engagements.
- Document deployment patterns, runbooks and customer-facing technical guidance.
- Surface product gaps and feedback to improve the platform for future deployments.
What you'll bring
- A strong technical background in software engineering, solutions engineering or similar, and a willingness to work closely with customers.
- The ability to learn a complex product deeply and configure it for varied enterprise contexts.
- Backend or systems understanding (APIs, integrations, environments), not front-end only.
- Clear communication with technical and non-technical stakeholders.
- Comfort working across time zones in a distributed team, and strong written English.
Nice to have
- Experience in customer-facing technical roles: solutions engineering, implementation, professional services or field deployment.
- Experience with AI/ML products, or governance, security or compliance tooling.
- Familiarity with cloud deployment patterns and enterprise IT constraints.
Location and working model
- Bangalore, India.
- Remote, in a distributed team.
- Customer-facing work as needed for deployments and workshops.
Compensation
Indicative salary: $50,000 USD. We offer competitive benefits; details are shared during the hiring process.
Interview process
- HR screen
- Hiring manager interview
- Technical assessment
- Task or skills assignment
- Culture fit
- Offer
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Directs product design for enterprise software, managing 8–10 designers or managers and overseeing product experience across mobile and desktop platforms. Partners with Product and Engineering on strategy, roadmaps, research, design systems, prototyping, usability, and execution. Mentors design teams, drives cohesive ecosystem experiences, and integrates AI, machine learning, and mobile technologies into workplace productivity solutions.
Top Skills:
AIAxureDesign SystemsFramerKeynoteMachine LearningMobilePhotoshopPrincipleSketchWcag 2.0/2.1 Aa
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and maintain scalable, high-performing frontend applications and systems. Collaborate with engineers, designers, and managers to solve user problems, contribute to code reviews and documentation, resolve complex bugs, and lead projects through design, implementation, launch, and operation. Mentor junior engineers and help develop reliable software for Atlassian’s cloud and core product suite.
Top Skills:
AngularjsChaiCSSCypressHTML5Javascript (Es6)JestMochaReactVue
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Own enterprise AI customer deployments from discovery and product scoping through delivery, adoption, and value realization. Translate customer workflows into product requirements, technical solutions, deployment roadmaps, and measurable outcomes. Partner with engineering, sales, customer success, finance, legal, security, and operations while evaluating AI trade-offs, business value, and production readiness. Identify reusable customer needs and help establish scalable product, operating, and deployment playbooks.
Top Skills:
AIAPIsClaudeCloud EnvironmentsCursorIdentity And Access ManagementInfrastructureLlmsLovableRagRetool
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
