About the Role

We're looking for a Senior AI Solutions Builder to join our Product - CTO Ops team. In this role, you will design, build, and ship AI-powered solutions that enhance productivity and drive measurable business value across the organization.

You will operate at the intersection of AI, data, pricing and business - owning the end-to-end development of agents, copilots, and workflow automations that directly inform decisions and eliminate manual work.

You are both a builder and an enabler. You ship solutions yourself and raise the AI capability floor for the teams around you. You'll collaborate closely with Product, Engineering, CS, Sales, and builders across the company to deliver outcomes that improve decision velocity, product and operational efficiency, and long-term growth.

What You Will Do

Design and ship AI-powered copilots, agents, and decision-support tools for the product team, starting with pricing

Build data pipelines and analytical models for pricing intelligence

Develop autonomous agents that automate recurring product tasks

Automate manual workflows across product tools so the right action happens when a signal fires

Build LLM-based scoring models that give roadmap and prioritization decisions a data backbone

Enable and upskill product teams through AI playbooks, sessions, and hands-on co-building

Collaborate with builders across Engineering, CS, GTM, and other teams to co-create solutions that scale

Define and track impact: time-to-insight, decision velocity, manual hours eliminated, and business outcomes

You Bring

Proven, hands-on experience building and shipping AI-powered tools, agents, or pipelines in production environments

Builder / vibe coder mindset uses AI-assisted tools (Claude, Cursor, Copilot, n8n) to ship independently without an engineering ticket

Experience working cross-functionally with Product, Finance, and go-to-market teams in a B2B SaaS environment

Ability to connect systems independently: APIs, webhooks, data pipelines

Strong communication and collaboration skills across diverse teams

Ability to prioritize, problem-solve, and navigate ambiguity in a dynamic environment

Comfortable learning and applying new technologies, tools, and methodologies

Nice To Have

Experience in pricing, monetization, revenue analytics, or usage-based commercial models

Background in Product work

Familiarity with causal inference, A/B experimentation, or uplift modeling

Comfortable with analytics platforms (Heap, GA4, Mixpanel, Amplitude) and PM tools (Jira, Confluence, Productboard, etc.)

Experience working in a distributed, multicultural environment