Product Operations
Product, Operations
NYC, in-person everyday at our West Soho office · Full-time ·
This is an early product system role in an AI native consumer startup working across the team to orchestrate a high-velocity, high impact shipping machine.
About koodos labs
koodos labs is a consumer AI research and product company dedicated to ensuring that the internet knows you and can do things for you, on your terms. We are the company behind Shelf, the leading personal context platform used by millions of people to track and understand what they consume. Read about our co-founders and their story here. We’ve raised 3 (unannounced) rounds from the world’s leading investors, and our Board is comprised of Pinterest’s co-founder, Facebook’s first head of monetization and a leading GP.
You should join koodos labs for the people and our mission.
We aspire to build the best team of the 2020s. Just like PayPal in the 90s, Google in the 00s, and Stripe in the 10s, we want to be known as "a place where it's good to be from." If you join us, we promise to be the best place to grow your career — with the best people you've ever worked with. We’re also working on a very bold mission.
Read more about why koodos labs may not be for you here.
Your mission
Be the operational backbone of the product and engineering team - owning sprint discipline, backlog management, release coordination, and support operations so that Design can focus on craft, Engineering can focus on shipping, and Leadership can focus on strategy.
This is a highly collaborative, cross-functional and facilitation-oriented role.
We expect this role to grow into operations leadership as the company grows.
What you'll do
Owning the operational machinery means that your days will be different everyday. But here are a few things you could be doing day-to-day:
1. Sprint operations & backlog management
2. Be a step ahead and figure out where we can simplify and/or where there might be decisions that need to be made - make sure that happens
3. Support operations
Ideal Candidate
We recognize that the confidence gap and imposter syndrome might discourage amazing candidates from applying. Every job description is a wish list, so please reach out if this role really excites you.
Role-specific traits
Skills and experience
How we interview
We aim to move fast.
We recognize this role is hard to interview for, so we’ll focus on simulating out working together and references.
Introduction: We’ll kick things off by sharing a short video about the team and role. It’s a great way to get context and prep questions ahead of our call.
First call: A conversation with Jad to dig into your background, goals, and share more about what we’re building.
Case interview(s): A simulation of a real-life situation you may have to deal with.
Onsite Interview: You’ll meet the team you’ll be working with and we’ll run through a series of work simulations
References: We’ll ask for 2–3 references at some point during the interview process, and may also reach out to others you’ve worked with (let us know if there are any sensitivities). We’ll keep it brief and respectful - usually ~15 mins per call. You’re also welcome to reference check us.
Decision: We’ll move quickly on our end.
How to apply
If interested, please drop us a line on team@koodos.com with your resume and an operational improvement you made that had a big impact on a team.
FAQs
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