Note: The job is a remote job and is open to candidates in USA. Terzo is a company that specializes in transforming unstructured commercial data into a structured Financial Intelligence Graph for enterprise clients. The Senior Product Manager will own the product strategy and execution, working directly with enterprise buyers to address complex problems and drive product development across the platform.
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
Skills
- 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
- 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
Benefits
- Annual performance bonus
- Employee stock option plan
- 100% paid medical, dental, and vision coverage
- 401(k) with employer contribution
- Generous vacation and sick leave
- Flexible work arrangements
- High-quality equipment for home and office
- Strong culture of collaboration, mentorship, and continuous improvement
Company Overview