Group Product Manager, Instacart

• 8+ years of product management or similar experience
• Team management experience (direct or indirect)-- developing others, giving tough feedback, creating operating norms and rituals
• Strong project management skills- helping the team to run (ideally many) high velocity/ scrappy experiments against a number of data-driven themes
• Strong XFN communication- helping design, engineering, marketing, and leadership understand our “insight—> action—> impact” hypotheses and what we’re asking them to build/ support/ approve
• Strong ability to generate insights from data- asking the right questions of Data Science, using data to identify white space or opportunity areas, leading ideation against those areas
• Ability to inspect proposed consumer experiences using intuition—> Are the right messages coming across? Are we making it easy and simple for consumers to take action, and to reassure them that they’re getting the benefits they were promised for taking those actions? Are the stated benefits compelling? Are we being thoughtful about when and where we’re inserting friction?

Desirable

• We are seeking a Group Product Manager to develop and oversee our lifecycle growth team
• The GPM will oversee a team of 3-4 additional PMs, each oriented to a different part of the consumer lifecycle (new consumers, early life consumers, active consumers, churned consumers) with the goal of creating engaging experiences that help customers find value in Instacart
• The GPM/ team will be supported by engineering, design, data science, and marketing resources, as well as a large budget for testing of discounts and promotions
• Use data-driven insights to evaluate your team’s experience ideas– what types of experiences may be most compelling, to which users, to help those users to find value on Instacart. What offerings and opportunities do users not yet know about? What anxieties do they have that we might remove?
• Inspecting the team’s experimentation plans– are we likely to learn what we want to learn? Are the experiences “good enough” to get learnings (without spending too much time making them “perfect”)
• Troubleshoot execution with marketing, design, and engineering to envision – when roadblocks come up, help your team navigate the right tradeoffs and choices
• Create a “test, analyze, and iterate” operating model within the team– learn from what worked (and what didn’t)
• Maintain a portfolio and drumbeat of experimentation– knowing that not all tests will work, but that with good insights and enough “shots on goal,” value will follow