Senior Product Manager

Terzo

8d•Remote

About The Position

Terzo solves the problem of enterprise companies managing billions of dollars in contracts, vendor relationships, and commercial commitments annually. These are often unstructured, fragmented, and disconnected from spend data. Terzo converts this unstructured commercial data into a structured Financial Intelligence Graph, a network of contracts, vendors, spend, obligations, and risk signals. This graph is used by enterprise teams to govern their critical commercial relationships. Customers include Fortune 500 procurement leaders, CFOs, and General Counsels who use Terzo to manage contract risk, reduce cost leakage, and bring discipline to vendor portfolios. The culture at Terzo emphasizes ownership, momentum, and craftsmanship, attracting builders who value high standards, direct communication, and continuous learning to impact an ambitious enterprise AI platform. As a Senior Product Manager at Terzo, you will work directly with enterprise buyers, engaging in conversations where contract clauses can represent significant financial exposure. You will help VPs of Procurement understand spend leakage and provide CFOs with unprecedented renewal visibility. This role is ideal for individuals who excel in ambiguous environments, act quickly with incomplete information, and are deeply committed to the business outcomes their products deliver. You will be responsible for product strategy and execution across the Terzo platform, managing competing priorities without a predefined structure, and developing product intuition through close customer interaction. Collaboration will occur internally with engineering, design, and go-to-market teams, and externally with customers.

Requirements

5 to 8 years of product management experience in B2B or enterprise SaaS
Experience owning complex enterprise software products end to end, with meaningful UX complexity
Proven ability to lead products from concept through scaled adoption
Deep enough technical fluency to co-design system approaches with engineering, understand AI product tradeoffs (RAG, agentic architectures, evals), and influence platform direction without waiting for engineering to prescribe it
Experience defining AI product requirements including evaluation criteria, fallback behaviors, and human-in-the-loop design. You understand the difference between deterministic software and probabilistic AI outputs, and you hold AI features to a standard accordingly
Strong UX sensibility: you can write product specs that feel designed, push back on interfaces that create confusion, and hold a high bar for how information and AI outputs are presented to users
Experience defining end-to-end user flows across data-heavy, workflow-driven products where clarity and trust are non-negotiable
Proven ability to translate complex data and AI outputs into experiences that feel simple and actionable to enterprise users
Skilled at running structured customer discovery: interviews, usability walkthroughs, and feedback loops that directly shape what gets built
Comfortable serving as the product voice in customer and prospect conversations, building credibility with CFOs, CPOs, and General Counsels through domain fluency and product conviction, not just product demos
Uses prototypes and working concepts in customer conversations to test hypotheses before engineering starts
Strong ownership mentality with accountability for outcomes
Clear, structured thinking and written communication
Comfort operating in ambiguous environments with evolving inputs
Ability to influence without authority across engineering, design, and customer teams
Writes PRDs, strategy memos, and specs that are precise enough for engineering to start without a meeting to explain them
Treats post-launch measurement as a discipline, not an afterthought. Defines success metrics before shipping, tracks them after

Nice To Haves

Experience in CLM, procurement, spend management, or financial operations
Prior work on analytics platforms, financial systems, or commercial operations tools
Hands-on experience with AI and ML teams shipping applied intelligence products in production, including defining evals, working with model outputs, and iterating on AI feature quality
Familiarity with platform ecosystems, integrations, or marketplace models
Prior work at a high-growth startup (Series A to C) where you helped build product function from the ground up, not just inherited a mature process
Experience with graph data models, knowledge graph systems, or structured commercial data

Responsibilities

Own product strategy and roadmap across key areas of the Terzo platform, from AI-powered workflows and analytics to the Financial Intelligence Graph and NirvanAI experiences
Translate ambiguous enterprise problems into clear, well-scoped requirements and make hard prioritization calls without waiting to be told what matters
Define how AI capabilities, structured graph data, and agentic workflows surface as experiences that feel simple and trustworthy to enterprise users
Partner closely with engineering to shape platform and experience-level tradeoffs
Partner with design to define end-to-end user flows, interaction models, and AI-native UX patterns where clarity and trust are non-negotiable
Work directly with customers to validate problems, test solutions, and measure impact
Serve as the product voice in sales and pre-sales conversations, building credibility with CFOs, CPOs, and General Counsels
Define success metrics tied to customer outcomes, adoption, and financial value
Drive execution end-to-end from discovery through launch and iteration, with clear accountability and no hand-holding required
Align stakeholders across engineering, sales, customer success, and leadership
Use usage data, customer feedback, and market signals to continuously sharpen product direction, not just confirm it