Product Manager (ex-founder or ex-product engineer)
About PostHog
PostHog is your product's context layer. It ingests and stores your analytics, errors, replays, and business data so you and your agents can query and act on it. We launched out of Y Combinator's W20 cohort . We've since shipped more than a dozen products, including:
- A suite of analytics and observability tools, including product analytics , replay vision , AI observability , and error tracking
- PostHog MCP for users and their agents to query and act on their product and business data
- Data warehouse so users can query product and customer data together using custom SQL insights.
We are: •
Product-led
Default alive
Well-funded.
Things we care about
Transparency
Autonomy
Shipping fast
Time for building
Ambition
Being weird
Product at PostHog
research
data
setting high-level context
across the organization. They work across multiple products to determine how products are being used, what the competitive landscape is like, and how users are feeling about PostHog. Using the usual PM jargon we could say PMs at PostHog are very discovery-focused and don't engage in delivery almost at all. Among other things, they:
- Run growth reviews for products that have product-market-fit
- Dive into data research projects to answer challenging questions without obvious answers
- Organize user interviews
- Provide just-in-time product feedback for new and existing features, following our principles of shipping and iterating quickly
- Coach product engineers on "how to do product "
If you want to know more about our philosophy of building products, read our article "Product Management is broken. Engineers can fix it."
What you will be doing
analyzing data
talking to users and owning the commercial aspects of your product(s)
:
- We have a growth review with every product every month. As the PM, you ensure we have the right metrics, dig into things that have changed, understand what users are doing, why they're churning, etc. You use the findings to figure out if we need to dig deeper into a trend or reprioritize what we're building.
- Across our 10+ products (and counting!), we have thousands of paying customers and many more on the free tier. That's a lot of users and a lot of data. Finding actionable patterns in this data is one of the key ingredients to reaching $100M ARR . Example questions you might be answering:
- How does revenue/usage churn for your product compare across different segments?
- Which behaviours lead to long-term retention for your product?
- You keep an eye on the commercial side of things. Each of our products is competing with incumbents multiple times bigger both in revenue and employee size. You will lead the research into our competitors and the tooling landscape, and provide recommendations where we have the biggest untapped potential, whether it's pricing, feature parity or even spinning out an adjacent product
- Things you choose to pick up. This could be a data deep dive outside the scope of the repeating growth reviews. Or figuring out how to package and price a new product that we want to perform better in terms of usage or revenue. Or it could be rubber-ducking the engineers to help them figure out the UX for a new product concept.
What you won’t be doing
You’ll fit right in if
- You've been
a technical founder or product engineer
someone who has written code before
and now wants to focus on the product and commercial side
- You have
strong product sense
- meaning you can identify a product's biggest selling points and weaknesses (both user experience and commercial) and turn them into actionable insights that inform your team's product decisions
- You're
familiar with business and product metrics
You don’t hesitate to write SQL
(or another query language) to answer data questions
- You're very proactive/organized, so
you don’t wait to be told what to do
. Instead, you figure out what needs to happen, make it happen and keep multiple threads moving forward without letting things slip
- You
collaborate well
Strong communication skills
You have hands-on experience using observability products
Nice-to-haves
(We don't expect you to tick all of these boxes, but at least 2-3 are a big plus):
- You've worked on or PM'd an observability product before.
- You have additional data modelling experience on top of writing queries.
- You've worked on a developer tool or AI product before.
- You've done a decent portion of interviewing users already. And looking at additional product management experience, you might have even worked with designers or engineers on new user experiences?
If you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! #LI-DNI
Not included in the source posting: what you'll do, benefits.
Skills
Who can apply
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