Senior Forward Deployed Product Manager

DIGITAL TREASURES CENTER PTE. LTD.; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

DIGITAL TREASURES CENTER PTE. LTD. seeks a senior product leader to shape AI-powered workflows across teams. You will define governance, partnerships, and rollout strategies for agent harnesses and automation in real work.

Collaborate with engineering, compliance, and business units to specify rules, data needs, prompts, escalation paths, and approval points while driving adoption and measurable value.

Qualifications

• 6+ years in product management or related roles.
• Hands-on experience with AI-powered products or AI-assisted workflows.
• Understanding of LLMs, retrieval, tool use, and agent orchestration.
• Judgment on when to use an individual agent, a reusable skill, a governed workflow, or automation.
• Experience driving adoption across multiple teams and measuring value.
• Technical fluency: read logs, understand APIs and data flows.
• Ability to define product requirements, workflow specs, Rules, and roadmaps.
• Strong written and verbal communication; comfortable with ambiguity.

Responsabilités

• Understand current team workflows, tools, data, tasks, and risks.
• Decide what belongs in an harness, skill, workflow, automation, or human review.
• Connect tools and data to enable agent-assisted work (coding, debugging, QA, releases).
• Define workflow inputs/outputs, evidence, permissions, prompts, escalation, and approvals.
• Work with business/compliance to define Rules, Action Types, ownership, and history.
• Ensure AI recommends, a named person decides, and actions are approved.
• Investigate incorrect answers, missing data, and unsafe results; separate issues.
• Drive adoption through real work, measure usage and outcomes, identify drop-offs.
• Turn friction into PRDs and roadmaps; build rollout playbooks for teams.

Connaissances

Product Management

AI products

Agent harnesses

Workflow design

SQL

APIs and data flows

Compliance awareness

Communication skills

Outils

SQL

APIs

Description du poste

Responsibilities

• Understand how teams work today: their tools, data, recurring tasks, decisions, actions, handoffs, and operational risks.
• Decide what belongs in an individual harness, a reusable skill, a governed workflow, deterministic automation, or human review.
• Connect approved tools and data, and configure agent-assisted work for coding, debugging, incident investigation, reconciliation, reporting, QA, document work, and releases.
• Define workflow inputs, outputs, evidence requirements, permissions, prompts, escalation paths, fallback behavior, and human approval points.
• Work with business and compliance owners to define Rules and Action Types, including ownership, risk level, approval requirements, and change history.
• Ensure that AI recommends or drafts, a named person makes the decision, and the platform executes only an approved and permitted action.
• Investigate incorrect answers, missing evidence, stale data, unsafe actions, and uncertain external execution results. Separate source-data, configuration, workflow, AI, and platform issues.
• Drive adoption through real work, measure sustained usage and outcomes, and identify where users abandon the platform or return to existing tools.
• Turn recurring friction, missing connectors, weak context, approval gaps, and trust issues into PRDs, acceptance criteria, and roadmap proposals.
• Build rollout playbooks that help teams create skills, adopt workflows, and become increasingly self-sufficient.

What We're Looking For

• 6+ years in Product Management, Technical Product Management, Forward Deployed Product, Solutions Architecture, Operations Tooling, Internal Platforms, or AI Products.
• Hands-on experience using, designing, launching, or operating AI-powered products, agent harnesses, or AI-assisted workflows in real work.
• Practical understanding of LLMs, retrieval, tool use, agent orchestration, structured outputs, prompting, skills, and human-in-the-loop workflows.
• Good judgment about when to use an individual agent, a reusable skill, a governed workflow, deterministic automation, or human decision-making.
• Experience driving adoption across multiple teams, understand the difference between deployment, regular use, and measurable value.
• Technical fluency: read logs, write SQL, understand APIs and data flows, and reason about identity, permissions, audit trails, failure handling, and system boundaries.
• Ability to define product requirements, workflow specifications, acceptance criteria, Rules, Action Types, and roadmap proposals.
• Strong written and verbal communication, practical judgment, and comfort working with ambiguity across users, Product, Engineering, Operations, and compliance.
• You do not need to train models, build ML infrastructure, or write production code as your primary job. You do need to understand how AI-enabled work behaves in practice and how to operate it safely.

Preferred Background

• AI products, developer tools, coding assistants, internal platforms, enterprise software, B2B SaaS, payments, finance, or other audit-heavy environments.
• Incident management, reconciliation, reporting, QA, release workflows, compliance operations, or other structured business processes.
• Products with explicit ownership, approvals, permissions, audit records, sensitive data, or regulated operating requirements.