Senior Product Manager, Context Engineering

Zoominfo; Waltham (MA); On-site; USD 126,000 - 198,000; Full time

Benefits offered by this job

Comprehensive benefits

Wellness programs

Equal opportunity employer

Job summary

ZoomInfo in Waltham, Massachusetts, seeks an experienced Product Manager for their API and MCP product surface. You will define and implement APIs that expose ZoomInfo's intelligence to developers and partners, ensuring a robust and user-friendly experience.

This role is crucial for shaping platform standards to enhance tool quality and usability. You will collaborate closely with engineering teams and influence product strategies to maximize customer value and operational efficiency.

Qualifications

• 6 to 8 years of product management experience, including platform or API products.
• Direct experience with public APIs or MCP servers for external developers.
• Familiarity with MCP specifications and developer experience expectations.

Responsibilities

• Own the API and MCP product surface and ship related tools.
• Drive end-to-end developer and agent experience.
• Build evaluation infrastructure for benchmarking tools.

Skills

Product management experience

API and MCP design

Context engineering

Communication skills

Education

Bachelor's degree or equivalent

Tools

Python

SQL

Job description

About ZoomInfo

ZoomInfo is the Go‑To‑Market Intelligence Platform that empowers businesses to grow faster with AI‑ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

The Opportunity

Define the Platform That Powers Every Agent Interaction

ZoomInfo built the industry's most sophisticated GTM data acquisition infrastructure. The next frontier is making every piece of that intelligence directly addressable by agents — through a coherent set of public APIs and MCP tools that span the full GTM customer journey.

This role owns the API and MCP product surface that exposes ZoomInfo's data, context graph, and agentic capabilities to developers, partners, and AI clients. You'll define the tool taxonomy, the developer experience, and the in‑agent experience that determine whether an LLM picks ZoomInfo over a competitor or a client‑native capability when a seller, marketer, or RevOps leader needs go‑to‑market intelligence.

The impact is organization‑wide. Every Copilot interaction, every GTM Studio agent team, every partner integration, and every direct customer build runs on the API and MCP layer you'll shape. We've transitioned to AI‑first product thinking company‑wide and adopted a headless‑first architecture: if a capability cannot be invoked via API or MCP, it cannot scale across surfaces. This is a rare opportunity to define the platform standards, evaluation frameworks, and tool design patterns that compound value across multiple product teams in the years to come.

What You’ll Do

Own the API and MCP Product Surface

Define and ship the public APIs and MCP tools that expose ZoomInfo's intelligence: search, enrichment, signals, audience operations, agent teams, account and contact research, engagement data, and more. Drive the end‑to‑end developer and agent experience — contract design, onboarding, documentation, discoverability, and in‑client behavior. Partner closely with the engineering leaders delivering the underlying API and MCP infrastructure to ship a coherent, opinionated product, not a thin wrapper over internal services.

Design for the Agent as a First‑Class Consumer

Most consumers of this platform are autonomous agents inside Claude, ChatGPT, Microsoft Copilot, Gemini Enterprise, Cursor, and customers' own builds. Your tool descriptions, response shapes, error messages, and parameter schemas are the product. Apply context‑engineering rigor — token budgets, response density, progressive disclosure, hybrid retrieval, intelligent caching, schema‑aware compression — so that the right context lands in the model's window at exactly the right moment.

Drive Tool Quality Through Evaluation

Build the evaluation infrastructure that benchmarks ZoomInfo's MCP tools against client‑native capabilities and competing GTM MCP servers across the models and clients customers actually use. Measure tool‑selection win rates, downstream task success, hallucination rates, latency, and credit‑per‑outcome. Translate those signals into concrete changes — tool consolidation, description rewrites, schema refinements, new primitives — and close the loop with the engineering teams that ship them.

Shape the GTM Job‑to‑Be‑Done Coverage

Map ZoomInfo's APIs and MCP tools to the canonical set of go‑to‑market jobs across prospecting, pipeline, close, expansion, and revenue operations. Identify the gaps where a small number of high‑leverage tools or skills unlock disproportionate customer value. Decide what to bundle, what to split, what to deprecate, and what to ship next.

Navigate the Emerging Protocol Layer

The MCP specification evolves fast: long‑running tasks, stateless transport, skills as a server‑side primitive, triggers and webhooks for event‑driven workflows, elicitation for human‑in‑the‑loop steps. You'll continuously evaluate which advances justify investment now versus which remain academic, prototype against the spec, and bring ZoomInfo's POV back to the broader community.

Orchestrate Cross‑Functional Execution

Translate between three distinct worlds: the API and MCP engineering teams building the platform, the product teams (Copilot, GTM Studio, MarketingOS, partnerships) who consume it, and the customers and partners who build on it. Run the operating cadences, prioritization frameworks, and decision‑making processes that balance urgent customer asks, monetization opportunities, and the foundational investment required for the next 12 months.

What You’ll Bring

• 6 to 8 years of product management experience with 2+ years in platform, API, or AI/ML infrastructure products
• Direct experience shipping public APIs or MCP servers consumed by external developers or AI agents
• Working knowledge of context engineering: retrieval, compression, tool‑use design, evaluation
• Familiarity with the MCP specification, function‑calling patterns across major model providers, and the developer experience expectations set by leading AI platforms
• Track record building platform products serving multiple internal or external customers
• Experience with graph‑shaped data (e.g. Neo4j, GraphQL, persistent operations) is a plus
• History of defining product vision in nascent technical domains where best practices are still emerging

Who You Are

Core Competencies

Technical Foundation

Expert‑level understanding of API and MCP design. You can reason about tool granularity, schema ergonomics, response shape, idempotency, rate‑limiting, and credit models with depth. You've built or significantly contributed to production developer platforms, not just managed them at arm's length. Python and SQL proficiency lets you read code, debug retrieval issues, and prototype tools to validate a design before engineering invests.

Platform Product Mindset

Experience building infrastructure products where engineering teams, partners, and AI agents are your customers. You measure success through downstream consumption, product velocity, and developer satisfaction, not just uptime. You understand platform economics: each additional team or partner using your APIs increases their value through shared learnings, amortized costs, and compounding network effects.

Intellectual Velocity

You read recent research and the protocol updates the moment they drop. You prototype emerging techniques to understand their practical constraints. You hold strong opinions weakly, updating your design assumptions as evidence accumulates. The discipline moves too fast for static expertise. Continuous learning is non‑negotiable.

Strategic Communication

You translate between technical depth and business impact fluently. You can explain to executives why consolidating three tools into one is worth a quarter of work. You can communicate to engineers why a customer constraint requires shipping "good enough" in three weeks rather than "optimal" in three months. You influence without formal authority through data, clear reasoning, and earned credibility.

The Environment

Reporting, Pace & Impact

Reporting & Collaboration

Report to the Senior Product Director for Context Engineering, Semantic Data Layer, and Agentic Memory within ZoomInfo's Intelligence team. Work shoulder‑to‑shoulder with the API and MCP engineering leaders, the partnerships team standing up new client integrations, and the PMs responsible for the underlying data, signals, and ML scoring layers. Together, you ensure that every agent invocation against ZoomInfo finds the right tool, returns information‑dense context, and drives a measurable customer outcome.

Pace & Problems

Fast‑moving teams that understand the space. Company‑wide AI adoption push creates both urgency and opportunity. Expect interesting problems: How do we win tool selection against a client's native web search? When should two tools become one? How do we expose the context graph without exposing the raw schema? How do we price an MCP call so that customers consume more, not less? Your decisions become architectural patterns across the organization.

Impact

Define the API and MCP product surface at a company that is already AI‑first in product thinking and organizational structure. Your decisions compound. Every improvement to tool design, response quality, or developer experience multiplies across Copilot, GTM Studio, MarketingOS, every partner marketplace ZoomInfo ships into, and every customer build we haven't yet imagined. This is platform work with a direct line of sight to customer value and revenue.

#LI‑VC1 #LI‑Remote

Compensation

$126,000 – $198,000 USD

Benefits

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well‑being. Learn more about ZoomInfo benefits here.

Equal Opportunity Employer

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.