Senior Product Manager, Agent Builder

DataSnipper

. Own the Agent Builder product in Alwin, DataSnipper's agentic platform for audit and finance .

Posted 11/6/2026full-timeNew York City • New York • United StatesSenior💰 $195,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management for developer-facing platforms, with a strong focus on agent performance evaluation, lifecycle management, and customer collaboration. Proficient in technical decision-making and clear communication, ensuring alignment between engineering and customer needs.

Highest-signal resume keywords

Product Management ExperienceLLM Feature ShippingData Model UnderstandingAudit KnowledgeAI Tool Prototyping

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Lifecycle ManagementVersioningSystem DesignArchitecture Trade-offsAgent EvaluationDiscovery DisciplineLow-code ProductsWorkflow DesignersDocument-level PermissionsQuality Management Standards

Soft Skills

Clear WritingCollaboration

Tools & Technologies

AI ToolsAgentic PlatformsPrototyping Tools

Industry Keywords

AuditAccountingRegulated FieldsKnowledge ManagementEnterprise Search

About the role

Key responsibilities & impact

Own the Agent Builder product in Alwin, DataSnipper's agentic platform for audit and finance
Own the definition model behind agents, including how firms test, publish, version, govern and retire agents at scale
Set product direction and roadmap for Agent Builder and make trade-offs explicit
Decide how much power builders get and where guardrails sit
Define how agent performance is proven using evaluations on real cases and stated methodologies
Design versioning, approvals, rollout and retirement into the product lifecycle
Keep customer confidentiality central so knowledge from one customer's work never reaches another
Prototype flows before writing specifications, then write concise specifications and decision memos
Work with forward-deployed engineers, solutions architects and go-to-market teams to turn enterprise rollout learnings into platform capabilities
Run discovery with customer-firm stakeholders who govern agents and adapt the plan based on evidence
Collaborate with the New York engineering team, Agent Runtime, Evals and Document Intelligence teams in Amsterdam, customers and domain experts

Requirements

What you’ll need

Experience as a PM on platform or developer-facing products that other people build on, from a product or a technical PM background
Experience shipping LLM or agent features in production
Understanding of context and retrieval, tool calling, evals, human review in the loop and non-determinism
Comfort with data models and system design: definition schemas, versions, immutable records, permissions, and how objects relate to each other
Experience with products that have a lifecycle customers depend on: versioning, permissions, release and deprecation
Enough technical depth to make architecture trade-offs with engineering leads and challenge designs credibly
Discovery discipline: separating what customers said from what you hoped they said
Hands-on use of AI tools in your own work, including prototyping
Clear, concise writing
Knowledge of audit or accounting, from practice or from building products for auditors, finance teams or other expert users in regulated fields
Familiarity with how firms validate and govern tools before relying on them, and with quality management standards such as ISQM 1
Experience with knowledge management or enterprise search: ingestion, retrieval, document-level permissions, keeping content fresh
Experience with low-code or configuration products, workflow designers, rule engines or DSLs
Agent evaluation in practice: datasets, offline and online experiments, failure classification, measuring the effect of context on quality
Experience running design-partner programmes with large enterprise customers
Based within the New York Metropolitan area, within commuting distance to the NYC office
Willing to work in the NYC office three days a week
Legally authorized to work in the United States
Must not require employment visa sponsorship to work legally in the United States

Benefits

Comp & perks

Equity (Stock Appreciation Rights) to share the company's success and growth
Flexible paid time off
Comprehensive medical and dental coverage
401K match
Paid parental leave
Company-sponsored lunch
Hybrid mode of work (at least 3 days onsite in our New York City office)
Access to continuous learning and development initiatives to grow your skills
Engage with a vibrant international team spread across five global offices
Access to the mental health and wellness platform
Multiple social activities for team building, including company-wide events like DataSnipper GO