Brain Corp

Brain Corp

Lead Product Performance Engineer

San Diego, CA

Sponsorship not specified$97k-$119kDetected 8 days ago
FigmaProject ManagementAgileJiraConfluenceSalesforceAccountingSupply ChainLogisticsInventory ManagementCustomer SuccessRoboticsLeadershipCommunicationCollaborationPublic SpeakingAdaptabilityOrganizational SkillsCertified ScrumMaster

About the role

  • Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment.
  • Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world.
  • Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Responsibilities

  • Assist in developing, tracking, and maintaining project schedules, milestones, and deliverables.
  • Provide day-to-day project management support, ensuring clear inter- and intra-team communication to keep projects moving forward.
  • Opportunities to share your own interests and hobbies with the Company

Requirements

  • Bachelor's degree in Business, Management, Sales, or a related technical field (or equivalent practical experience).
  • 4+ years of professional experience in a project management role.
  • Prior experience in a software or hardware environment is highly valued.
  • Strong interpersonal skills with a natural ability to work collaboratively in a team environment.
  • Highly organized with strong time-management skills and the ability to track multiple moving parts simultaneously.
  • Excellent oral and written communication skills, with the ability to translate technical updates into clear action items.

Nice to have

  • A "roll-up-your-sleeves" mentality with the ability to pivot from a coordinator to an individual contributor, completing tasks or projects independently when necessary to meet company goals.
  • Experience in robotics, automation, or autonomy industries.
  • Certified Scrum Master (CSM) or Certified Scrum Product Owner (CSPO) certification is a plus.
  • The ability to politely but persistently follow up with stakeholders to ensure critical projects progress, serving as the "friendly nudge" that keeps the engine running.
  • A strong advocacy for simple, effective workflows over overly complex ones, believing that a well-organized, accessible tool is far more valuable than an underutilized system.
  • The ability to visualize a business process from end-to-end (e.g., in Figma) to eliminate inefficiencies and bottlenecks before solutions are engineered.

Skills

  • Familiarity with project management and collaboration tools such as Slack, Salesforce, Jira, Confluence, and Google Workspace.
  • Foundational understanding of Agile, Scrum, or traditional Phase-Gate project management frameworks.

Compensation

  • The anticipated salary range for candidates who will work in San Diego, California is $97,335 to $118,965.
  • The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc.
  • Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.
  • In addition to base pay, our competitive total rewards package consists of:
  • A discretionary annual target bonus

Benefits

  • A discretionary annual target bonus
  • 401(k) plan with match (no waiting period and immediate vesting)
  • Access to Flexible Spending Accounts (Medical and Dependent Care)
  • Generous paid time off including flexible vacation, Paid Sick Leave, time off for volunteering in the community, 10 paid company holidays, and a winter company shutdown
  • On-campus gym including pool and tennis courts in the San Diego office
  • Opportunities to connect with colleagues including monthly game nights, hikes, wellness challenges, and community events
  • Internal continuous learning events
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This listing is sourced directly from Brain Corp's careers page and normalized into a canonical job model.