Forward Deployed Product Manager, Internal Tools & Automation

GigaAI Infrastructure

United States, Reliable availability during agreed overlap hours.Full-Time

Salary not disclosed

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Job Details

Demonstrated experience owning a cross-functional workflow or internal product from an ambiguous starting point through delivery, adoption, and measurable operating results.
Strong process-discovery skills, including the ability to uncover undocumented rules, exceptions, ownership gaps, and conflicting definitions.
Practical fluency with relational data, including entities, identifiers, joins, grain, one-to-many relationships, lifecycle states, lineage, and data quality.
Ability to write and review SQL to inspect, join, reconcile, and validate operational data.
Working knowledge of APIs, integrations, authentication, events or webhooks, failure handling, and system boundaries.
Strong product judgment, including the ability to scope a useful release, choose what to build next, and explain what should wait or be declined.
Experience working directly with software engineers while retaining ownership of the business outcome and user adoption.
A record of influencing technical and operating teams whose priorities and systems you do not directly control.
Ability to build trust and communicate clearly with frontline operators, functional leaders, and technical teams in a fully remote environment.
Hands-on experience designing, prototyping, or shipping workflow automation, including AI-assisted tools.

Discover and document critical workflows by working directly with the people who operate them.
Define the core records, identifiers, lifecycle states, owners, decision rules, and exceptions that make each workflow reliable.
Use SQL and direct data inspection to reconcile conflicting records, test assumptions, and identify data-quality problems.
Map how information moves through business systems, spreadsheets, documents, application programming interfaces (APIs), and manual handoffs.
Identify workflows and decision points where deterministic automation, AI assistance, or both can improve speed, accuracy, or visibility.
Sequence process changes, integrations, workflow automation, and internal tools into the smallest releases that deliver a useful outcome.
Write clear workflow briefs, requirements, data contracts, acceptance criteria, and decision records.
Partner with engineers on architecture and delivery while owning the business outcome, roadmap, and adoption.
Lead rollout, training, migration, and support planning, then retire the workarounds each release replaces.
Measure each release by its effect on cycle time, accuracy, visibility, control, and manual effort.

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