Staff Product Manager

Oxbow Talent; New York (NY); On-site; USD 180,000 - 250,000; Full time

Job summary

Oxbow Talent is partnering with an ambitious AI-first software business to appoint its first dedicated Product Manager for an enterprise AI platform.

You will own strategy, roadmap and prioritisation, working directly with the founding team to define technical direction and delivery, while collaborating with AI engineers on production-grade systems. This is a rare chance to shape product culture from zero to one, with startup autonomy and Enterprise backing.

Qualifications

• 5+ years in Product Management, ideally AI-native or B2B SaaS.
• Proven experience shipping AI/LLM-powered products into production.
• Strong technical understanding of AI systems including agents, evaluations, model behaviour and latency.
• Experience coordinating with engineering teams to manage technical trade-offs and delivery.
• Previous exposure to early-stage startups or high-ownership environments.
• Familiar with AI prototyping tools such as Claude Code or Cursor.
• Able to work onsite in New York City five days per week.

Responsibilities

• Take ownership of product strategy, roadmap and prioritisation for an enterprise AI platform.
• Collaborate directly with founders to advance the product to the next development stage.
• Work closely with AI engineers building production-grade LLM and agentic systems.
• Translate complex customer requirements into clear product decisions and deliverables.
• Shape how AI products are developed, evaluated, launched and improved.
• Establish the product management function from the ground up.

Skills

AI product

LLM products

Engineer collaboration

Startup experience

AI prototyping tools

Onsite NYC

Tools

Claude Code

Cursor

Job description

Founding / Staff Product Manager | Agentic AI | NYC | $180k–$250k

Location: New York City, 5 days onsite

Employment: Full-time

Oxbow Talent is partnering with an ambitious AI-first software business to appoint its first dedicated Product Manager. This is an opportunity to take ownership of a sophisticated agentic AI platform, working directly with the founding team to shape product strategy, technical direction and delivery.

The company combines the pace and ownership of an early-stage startup with the financial backing and enterprise reach of an established global software organisation.

The Opportunity

• Take full ownership of product strategy, roadmap and prioritisation for an enterprise AI platform.
• Work directly with the founders to take the product through its next stage of development.
• Collaborate closely with AI engineers building production-grade LLM and agentic systems.
• Translate complex customer requirements into clear product decisions and deliverables.
• Shape how AI products are developed, evaluated, launched and continuously improved.
• Establish the product management function from the ground up.

What We're Looking For

• 5+ years of Product Management experience, ideally within AI-native or B2B SaaS businesses.
• Proven experience owning and shipping AI/LLM-powered products into production.
• Strong technical understanding of modern AI systems including agents, evaluations, model behaviour and latency.
• Experience working directly with engineering teams to manage technical trade-offs and delivery.
• Previous experience within an early-stage startup, founding team or high-ownership product environment.
• Comfortable prototyping with modern AI development tools such as Claude Code or Cursor.
• Able to work onsite in New York City five days per week.

Why Consider It?

• First dedicated Product Manager with genuine ownership over product direction.
• Work directly alongside an experienced founding team.
• Build sophisticated AI products used by major enterprise customers.
• Enjoy startup-level autonomy with the backing of a well-established technology organisation.
• Competitive base salary of $180k–$250k.

This opportunity will suit a technically strong Product Manager who enjoys building from zero to one, thrives in fast-moving environments and wants meaningful influence over what gets built.