Staff Product Manager (Platform)

 Posted 3 hours ago
     
5-10 years experience
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AI Summary

Own the end-to-end customer intelligence data platform, including collection, ingestion, enrichment, and the API layer. Translate high-level visions into concrete system designs and roadmaps to drive the adoption of data products.

Senior/Staff Product Manager, Platform

Levellr is hiring a fully remote Senior / Staff Product Manager, Platform to own our Customer Intelligence Platform. We help gaming studios, global brands, and music labels (including Epic Games, Krafton, Scopely, Google, and Universal Music Group) launch, grow, manage, and monetise their communities across Discord, Reddit, and beyond. Much like Hootsuite, Sprinklr, and Sprout built businesses around the shift into social media a decade ago, we're building for the shift into community platforms today.

We process some of the richest, most insight-laden community and customer data in the world. Agents, LLMs, ML, and statistical analysis enable us to enrich and transform this raw data into actionable intelligence. Proactive, agentic software tells our customers what they need to know before they think to ask. Building our vision means inventing things very few people have built before, solving problems few companies have tackled, and using the results to transform the ways our customers build their products.

This is a senior individual-contributor product hire, and it owns the data foundation the rest of the product is built on. It runs from collection, through ingestion and the enrichment models that turn raw signal into structured meaning, to the enriched data, API and MCP layer that our other teams and our customers' own AI build on. 

We hire deliberately. This is a high bar on a small team. Today, translating a big vision into something buildable falls to a small number of people, and we're looking for someone who can own that work. You'll report to our Head of Product, work hand in hand with engineering, and this is a role for someone who loves the craft of product and the systems underneath it.

What you’d do

  • Own the data platform end to end. Collection, ingestion, enrichment and access layer (warehouse, API, MCP) the rest of the product is built on.

  • Treat the enriched data as a product. Decide what we ingest and enrich next as we scale from a handful of platforms towards hundreds, and own the data contract that Levellr Agents, Levellr Dashboards and customers' own AI build on. Own the systems and processes that will guarantee the consistency and quality of this data.

  • Translate a vision into buildable systems. Take a deliberately under-defined vision and turn it into something concrete enough to build: the system design, how the pieces interact, and the discrete projects engineers can pick up and run at. Closing the gap between "here's where we're going" and "here's what we ship next" is the core of the role.

  • Own priorities, informed by real insight. Set and maintain a clear roadmap for your area, using product data and a genuine understanding of the social listening and community space to decide what's worth building and where the incumbents are weak.

  • Define what success looks like, then chase it. Set the metrics that tell you whether something is working, and use them to keep iterating after launch rather than calling it done at ship.

  • Build alongside engineering, and see it through to shipped. Work directly with engineers to tighten the loop between idea and shipped product; you make the team faster, not slower. Own the work from concept to launch on an aggressive timeline and at a quality bar you'd put your name to.

  • Make sure it lands. Get it into the hands of the teams and customers who depend on it, partner with them so people know what shipped and why it matters, and drive the adoption that turns it into value.

Who you are

  • You've owned a platform or data product end to end. Set the direction, made the hard calls, and shipped, without someone above you defining the "what." We care about evidence over years, but this usually means you've owned data or infrastructure that other teams depended on.

  • You're a former engineer. You spent 2+ years building software before moving into product, and it shows: you reason about pipelines, models, and trade-offs from experience, not from a distance, and engineers trust you because you've done the work yourself.

  • You've done platform work with AI and LLMs. You've built with LLMs and enrichment in earnest, not just experimented at the edges, and you have judgment about when to reach for them, how to productionise them, and how to tell good output from bad.

  • You're a platform PM at heart. You get satisfaction from building the dependable foundation others rely on, not from owning the customer-facing UI. The teams and systems consuming your data are your customers.

  • You're technically fluent. You understand data and software architecture well enough to shape it and to talk credibly with engineers about how it should be built. Prior engineering experience isn't required; what matters is that you can reason confidently about pipelines, models and trade-offs.

  • You're fluent in data. You reason with product and customer data and use it to make and defend decisions.

  • You bring judgment, not just process. You know when to move fast and when a decision deserves real care, and you can tell the difference.

  • You lead without needing authority. Nobody reports to you, but in practice the group will look to you to set direction. You earn that through judgment and clarity, and people follow you because you're usually right, not because they have to.

  • Your communication inspires the team. Your writing brings people along. Clear written and verbal English is a must.

  • You want to work in a fully remote, European-timezone team, and you're self-motivated, proactive, and thrive without hierarchy.

Bonus points

  • Knowledge graph experience: you've designed or worked with entity models, schema design, or taxonomies.

  • You've built AI or ML pipelines, classical NLP as well as modern LLM-based approaches, and you know the difference between the two.

  • Data engineering depth: partitioning, warehouse design, or working at scale with high-volume event data.

  • Background in social media analytics, consumer and audience insights or an adjacent domain.

  • You've managed SaaS data or insight products.

  • Founder or operator experience where you owned the pace.

Who we are

Levellr was founded by Tom (CEO) and Ben (CTO), who have experience in both start-ups and large scale companies (YouTube, Eleven Sports). Since 2021 we’ve grown the team to 30+ employees and are backed by a number of successful angels (Mark Pincus, Dylan Collins, Mitch Lasky, Bing Gordon, Frank Gibeau to name a few). The product that we are building is growing in multiple verticals, seeing a 6x growth over the last 3 years and on track to continue.

We believe in substance over hype. We're a product-led company building a sustainable business by solving our customers' most pressing problems. This allows us to create a culture and a company that we're proud to build together. Some of the values we stand for:

  • We have ownership. We embrace change and take bold risks.

  • We get shit done. We have a bias for action and love creating value from our code and our conversations.

  • We disagree and commit. We give radically honest feedback and challenge assumptions, then get behind the result & move on.

  • We grow in uncertainty. We embrace change, learn from feedback, and continuously improve what we do for our customers.

  • We care. We care about our team, our customers, and the communities we serve.

Interview Process

Video Call with our Talent Partner → Video Call with our Head of Product (Marcus) → Live Exercise with an Engineer → Video Call with our CTO & Cofounder (Ben) → Video Call with our VP Ops & Strategy (Grace)

Benefits
Because we are a remote-first company, benefits will vary based on your location. We take the health and well-being of our teammates seriously. Just tell us what you need to be happy and successful, and we’ll try our best to accommodate you.

  • 5 weeks holiday allowance

  • Home office budget once you pass 3 months probation

  • Fully remote & flexible working hours

  • Stock option plan

  • New tech (laptop, etc)

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