What does a Forward Deployed Engineer do at Infotron?

Forward Deployed Engineers at Infotron are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this People AI Product Manager & Forward Deployed Engineer role?

The People AI Product Manager & Forward Deployed Engineer role at Infotron typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at Infotron remote?

Remote availability varies by Infotron FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

Infotron

People AI Product Manager & Forward Deployed Engineer

$120K - $140K Remote Mid Posted July 16, 2026

Apply on Indeed All FDE Jobs

Role Description

Job Title : People (HR) AI Product Manager & Forward Deployed Engineer

Location : Remote

Qualifications * Experience in product, forward deployed, solutions, business systems, program delivery, HR technology, or a similarly cross-functional role. * Strong ability to move from ambiguous problem statements to structured requirements,workflow logic, solution proposals, and execution plans. * Experience working closely with business stakeholders and technical teams to design,launch, and improve workflow or AI-enabled solutions. * Comfort operating in complex operational domains such as People Ops, payroll,benefits, talent, leadership development, employee services, or internal platforms. * Experience owning or supporting backlogs, delivery planning, testing, rolloutcoordination, and post-launch iteration in a pod, Agile, or scrum-like environment. * Ability to work with spreadsheets, reporting inputs, and performance metrics to generate practical product and business insight. * Excellent written and verbal communication skills, with the ability to create concise documentation, updates, and leadership-ready materials. * Strong stakeholder management, facilitation, and problem-solving skills, especially inambiguous or cross-functional environments.

Preferred experience * Experience supporting AI, automation, workflow, internal tooling, or knowledge-management initiatives. * Deep experience with tools such as Glean, Claude Code and Cowork, Workato and related reporting or workflow platforms, Asana, Google Workspace, Slack, ServiceNow. * Experience piloting new products or workflows inside a matrixed organization. * Experience operating in a contractor or embedded partner capacity.

Scope note * This role is focused on embedded product thinking, forward-deployed execution, workflow design, launch support, requirements shaping, measurement, and stakeholder enablement for People AI use cases. * Advanced automation engineering, deeper platform build work, and long-term technical ownership are expected to sit with People Products & Insights and technical delivery partners.

This is a remote position.

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.