| Location | Mountain View, CA |
We Are
Accenture is building a new portfolio of agentic software products in the industries we have spent decades helping to transform. We begin with advantages most product companies do not have: deep industry expertise, trusted relationships with many of the world's largest organizations, and direct access to the complex workflows and problems that matter most to them. That allows us to build closely with customers while creating repeatable products that can be taken broadly to market.
We are forming small, highly capable product teams to do this. These teams bring product management, design, and engineering together with the autonomy to move quickly, make decisions, and own outcomes from the earliest prototype through production and scale.
You Are
You are an exceptional engineer who thrives at the intersection of complex enterprise environments and cutting-edge software products. You combine strong technical depth with the customer instincts and communication skills to operate effectively inside organizations you do not control. You are comfortable with ambiguity, energized by difficult problems, and willing to do whatever it takes to make a customer successful.
You understand that enterprise software fails not because the product is wrong, but because the distance between what a product does and what a customer needs is never zero. You close that distance. You build integrations, configure workflows, write custom tooling, and solve problems on the ground that no one back at headquarters has seen yet. You bring those problems home and turn them into product improvements.
You are also AI-native in how you work and in what you build. You use AI tools to accelerate your own work, and you understand how to deploy, configure, and extend agentic systems in production enterprise environments. You know where AI adds leverage and where it creates risk, and you can explain both to a customer.
You are energized by deep customer relationships, high-stakes technical problem solving, and the knowledge that your work is what turns a product into a business.
The Work
This is a forward deployed engineering role. It is not a consulting delivery, program management, or core product engineering role. Forward deployed engineers are the technical bridge between our products and the customers who use them - embedded at customer sites, driving adoption, accelerating time-to-value, and feeding the insights that make the product better for everyone.
What You Will Do
Embed with customers and design partners. Spend substantial time on-site at customer and design partner organizations. Develop deep relationships with the technical and operational teams who are using or evaluating the product. Understand their workflows, constraints, data environments, integration landscape, and the specific problems they are trying to solve. Become a trusted technical presence.
Drive implementation and time-to-value. Own the customer's technical journey from signed agreement through successful production deployment. Build and configure integrations between our products and customer systems, including authentication, data pipelines, APIs, identity providers, and existing enterprise software. Resolve implementation blockers quickly and keep customers moving forward.
Build on top of the product. Write code to extend the product for specific customer contexts - custom agents, workflow automations, tool integrations, evaluation harnesses, and operational dashboards. Know when a customer need should be met with customer-specific tooling versus fed back as a product requirement. Resist one-off customization that cannot scale; push toward repeatable patterns.
Configure and deploy agentic systems. Configure, tune, and deploy AI-native product capabilities within customer environments, including agent behavior, tool access, guardrails, escalation logic, human-in-the-loop workflows, and evaluation criteria. Help customers define what good outputs look like and build the systems to measure and improve against that bar. Operate AI systems responsibly in enterprise contexts with real data and real consequences.
Solve problems on the ground. Find and fix issues before they become customer escalations. Debug integration failures, model behavior problems, data quality issues, performance bottlenecks, and configuration errors. Escalate promptly when a problem requires product changes. Never let a customer sit on a problem you can resolve. Document what you find in ways that are useful to the product team.
Be the voice of the customer in product. Translate what you observe in the field into clear, evidence-based product feedback. Distinguish between problems that are unique to one customer's environment and patterns that represent a gap in the product. Bring specific workflow observations, failure modes, and unmet needs back to the product team in forms they can act on. Make the product better for every customer by representing the customers you are embedded with.
Enable customer teams. Build the knowledge, documentation, and tooling that allows customer teams to operate the product independently over time. Run training sessions, write runbooks, create evaluation frameworks, and establish monitoring practices. The goal is a customer who is capable and confident - not one who is permanently dependent.
Operate AI-native. Use AI tools as a core part of your daily technical workflow. Apply them to code generation, debugging, documentation, data analysis, and customer communication. Understand their limits. Build repeatable workflows and context that increase your own leverage across multiple customer engagements.
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.