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.
You Will
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.
Strong analytical foundation: pricing or business scenario modeling, experimentation design, usage data analysis.
Proficiency in Python and SQL; comfortable with LLM APIs, prompt engineering, and agentic frameworks.
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.
5+ years in AI/ML engineering, product analytics, or a closely related builder role.
Ideally, You Bring
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.
