Strategic Projects Lead

MangoDesk

$120K — $145K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong technical background, ideally with a CS degree; proficiency in SQL or Python for data analysis.
  • Exceptional problem-solving skills with the ability to navigate ambiguous projects effectively.
  • Entrepreneurial mindset with a passion for building solutions from the ground up.
  • Effective communication skills coupled with a strong sense of ownership.

Responsibilities

  • Lead and manage cross-functional projects involving engineering, operations, and go-to-market strategies.
  • Oversee delivery of RL Environments for key customers and projects from start to finish.
  • Report project updates directly to company founders, addressing critical challenges.

Benefits

  • Opportunity to work on impactful problems and drive significant projects from conception to execution.
  • Direct access and communication with company founders, influencing strategic directions.
  • Dynamic work environment typical of a startup, fostering innovation and growth.
Full Job Description
What You'll Do
  • Lead cross-functional projects spanning engineering, operations, and go-to-market.
  • Own end-to-end execution of RL Environments delivery for strategic customers and projects.
  • Report progress directly to the founders and work on some of the most impactful problems at the company.
Required Qualifications
  • Strong technical background - a CS degree is ideal; at minimum, the ability to do data analytics using SQL or Python.
  • Strong problem-solving skills and the ability to own ambiguous, cross-functional projects end-to-end, balancing speed vs quality.
  • An entrepreneurial mindset - excited to build things from scratch.
  • Strong communication skills and a bias toward ownership
Preferred Qualifications
  • 2+ years leading a team, developing product or operational processes, or as a SWE
  • Prior experience at startups / high-growth companies, in consulting, or tackling operational challenges
  • Experience with human data / applied AI - specifically in post-training / RL

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