Senior Product Manager

Zaddy Solutions; New York (NY); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Paid vacation

Team events

Office amenities

Job summary

Zaddy Solutions seeks a Senior Product Manager for its Enterprise AI Platform in Midtown Manhattan. This hands-on IC role owns the roadmap, partners with engineering and design, and translates customer needs into a clear product plan.

The role is hybrid (two to three days in the office). You will work with AI leadership, customers, and GTM teams to ship improvements that increase adoption, reliability, and value. Eligibility to work in the United States is required.

Qualifications

• 5+ years of product-management experience.
• Ownership of an externally sold B2B SaaS product.
• Experience taking products from discovery through launch.
• Experience collaborating with engineering and design in fast-moving environments.
• Hands-on exposure to AI/LLM-powered products and agents.
• Eligibility to work in the United States.

Responsibilities

• Own and maintain the product roadmap and backlog.
• Translate customer problems into clear requirements and criteria.
• Partner with engineering and design from discovery to launch.
• Interview customers and stakeholders to understand workflows.
• Use data and market signals to guide product decisions.
• Define success metrics for adoption, reliability, and value.
• Support launches with Sales, Marketing, and Customer Success.
• Connect product strategy to data governance initiatives.

Skills

Product management

B2B SaaS ownership

AI/LLM exposure

APIs and integrations

Data-driven decisions

Education

Bachelor's degree or equivalent

Tools

APIs

Authentication systems

LLM platforms

Job description

Official Title: Senior Product Manager, Enterprise AI Platform

Location: Hybrid, Midtown Manhattan, New York City

Office expectation: Two to three days per week

The Opportunity: Zaddy Solutions is leading the search for a Senior Product Manager on behalf of an established B2B software company with a AI software product line.

The platform helps organizations manage how AI agents connect to business systems, tools, and data. It addresses areas such as authentication, permissions, system visibility, policy enforcement, auditability, and sensitive-data protection. This is a hands‑on senior individual‑contributor position with meaningful ownership over how the product develops and reaches the market. You will work closely with AI leadership, engineering, product design, customers, and go‑to‑market teams to turn technical capabilities and customer needs into a clear roadmap and shipped product improvements.

The product and category are still developing. You will not inherit a mature playbook, extensive documentation, or a large product organization. You will help create the structure, priorities, customer‑feedback loops, and operating rhythm needed to move the product forward.

Previous ownership of a commercial Model Context Protocol product is not required.

We are interested in candidates with relevant technical foundations who have built with modern AI systems and can quickly develop deeper expertise. Experience building, configuring, or experimenting with Model Context Protocol servers is strongly preferred, including professional projects, prototypes, open‑source work, or credible independent development.

What You Will Own:

• Own and maintain the product roadmap, backlog, and prioritization process
• Translate customer problems and business objectives into clear requirements and acceptance criteria
• Partner closely with engineering and design from discovery through launch and iteration
• Interview customers, prospects, partners, and internal stakeholders to understand workflows and unmet needs
• Use product data, customer feedback, and market signals to guide decisions
• Define success metrics related to adoption, usage, reliability, customer value, and commercial performance
• Evaluate tradeoffs involving speed, complexity, usability, security, and business impact
• Support product launches in partnership with Sales, Marketing, and Customer Success
• Help connect the product to the company’s broader technology and data‑governance strategy
• Establish lightweight, repeatable product‑management practices without creating unnecessary process
• Participate in selected customer, partner, and industry conversations as a product expert

What Success Looks Like in Your First Year:

• Develop a strong understanding of the product’s architecture, capabilities, users, market position, and commercial potential
• Build effective working relationships across engineering, design, go‑to‑market, and company leadership
• Own a clear, evidence‑based roadmap informed by customer feedback, usage data, technical priorities, and business goals
• Establish repeatable practices for discovery, prioritization, delivery, release management, and performance measurement
• Ship meaningful product improvements that strengthen usability, reliability, adoption, and customer value
• Position the product effectively within the company’s broader portfolio and go‑to‑market strategy
• Become a trusted internal authority who gives product, engineering, design, and commercial teams the clarity needed to execute

What You Bring:

• Approximately five or more years of product‑management experience
• Meaningful ownership of an externally sold B2B SaaS product
• Experience taking products or major features from discovery through launch and iteration
• Experience working closely with engineering and design teams in a startup, growth‑stage company, or similarly fast‑moving environment
• Hands‑on exposure to AI or LLM‑powered products, including agents, tool calling, workflow automation, integrations, or retrieval
• Working knowledge of APIs, authentication, permissions, data flows, system integrations, and technical failure modes
• The ability to understand technical architecture and make informed product tradeoffs with engineers
• Experience collecting customer feedback and converting it into product priorities
• Strong quantitative reasoning and the ability to use data to evaluate product performance
• Clear writing, thoughtful communication, and sound decision‑making
• The ability to move from an unclear problem to a practical recommendation without excessive process
• Comfort operating as a senior individual contributor without a large support structure
• Eligibility to work in the United States

Particularly Relevant Experience in One or More of the Following Areas Would Be Especially Valuable:

• AI agents and agent orchestration
• API management and enterprise integrations
• Identity, authentication, or access management
• Data infrastructure, observability, or governance
• Enterprise security or privacy technology
• Workflow automation

Education:

• A bachelor’s degree or equivalent practical experience is required.
• A degree in computer science, engineering, information systems, human‑computer interaction, design, business, or another analytical field may be helpful, but a specific degree or advanced degree is not required.
• Demonstrated product judgment, technical fluency, and shipped work will carry more weight than academic pedigree.

This Role May Not Be the Right Fit If:

• Your experience is primarily limited to internal tools rather than commercially sold software
• You have advised on AI strategy but have not helped ship AI‑enabled products
• You are primarily interested in managing people rather than personally owning product execution
• You require mature processes, extensive documentation, or a large product organization
• You are uncomfortable working directly with engineers on APIs, integrations, authentication, and system behavior
• You cannot work from the company’s Midtown Manhattan office two to three days per week

Benefits include:

• 100% employee health‑insurance coverage
• Paid vacation
• Team events and company gatherings
• Additional employee benefits and office amenities

Why Consider This Opportunity?

• Take meaningful ownership of a new product in an emerging enterprise technology category
• Work directly with the people responsible for the product’s original vision and development
• Help define how organizations securely connect AI agents to business systems
• Influence product strategy, customer adoption, and commercial direction
• Operate with early‑stage ownership while benefiting from the resources of an established global company
• Join a collaborative team working across AI, security, privacy, and responsible data use

If you are excited about the opportunity but do not meet every preferred qualification, we are looking for evidence of product ownership, technical curiosity, learning agility, and the ability to build effectively in an emerging market. Zaddy Solutions will conduct the initial evaluation and screening process. Additional information about the company and product will be shared with qualified candidates as they progress.