Lead Product Manager

Shipium

3d•$180,000 - $190,000•Remote

About The Position

Shipium is looking for a Lead Product Manager to own our Product Discovery portfolio—encompassing Delivery Promise, Shipment Planning, and Fulfillment Engine. This is a high-leverage, senior individual contributor role designed for a leader who operates at the founder/executive level on strategy but possesses the technical "craft" to dive into the codebase, design tools, and data warehouse. In this role, leverage comes from your depth of domain authority and tooling, not headcount. You will be the bridge between visionary strategy and technical reality, ensuring our roadmap is defensible, differentiated, and relentlessly focused on customer value.

Requirements

The "Full Stack" PM: Equally comfortable in a design tool, a SQL editor, and a board meeting.
Proven track record in B2B SaaS, preferably in API-first products with technical-buyer audiences.
High "depth of craft" in logistics, supply chain, or complex distributed systems.
A preference for high-quality written documentation over unnecessary meetings.
Proficiency in SQL and the ability to navigate logs and APIs to solve problems.

Responsibilities

Own the 1–3 year vision for multiple product lines, ensuring they connect into a coherent platform narrative.
Maintain a structured roadmap that serves as a source of truth—integrated with Jira and financial realities (ARR/NRR)—rather than just a slide deck.
Identify and de-prioritize non-differentiated work. Steer the team away from "anti-patterns" like unbenchmarked performance claims or generic AI features.
Build interactive prototypes to hedge product judgment. Ensure design decisions transfer cleanly to engineering by maintaining mappings to production codebases.
Query Amazon Redshift and S3 directly to generate first-cut insights without depending on analytics partners for initial answers.
Maintain explicit personas for every product line and insist on persona alignment in every design and roadmap review.
Act as the first "product call" for Solutions Engineering on complex technical questions.
Partner with Sales on high-stakes discovery calls and technical credibility moments.
Partner with Customer Success on technical escalations. Investigate logs, APIs, and data to produce customer-facing deliverables that close the loop on issues.
Turn one-off integration work into repeatable workflows, including data validators, runbooks, and intake checklists.
Present trade-offs and strategies to founders and the board, framing decisions through both customer impact and financial multiples.
Mentor junior PMs and foster "product-thinking" across engineering teams through reusable frameworks and high-quality written artifacts (strategy memos, decision docs).
Build reusable agents, skills, or prompt patterns using AI tools like Claude.
Automate multi-step research and documentation pipelines using AI tools.
Integrate internal data and tools into AI workflows (e.g., MCP-based integrations).
Scale individual leverage rather than replacing human judgment.