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Posthog Jobs (NOW HIRING)

Founding Data Engineer

New York, NY · On-site

$170K - $240K/yr

Our PostHog telemetry is live. The broader data model is yours to design. You'll work closely with our growth engineering team: you design the tracking model, they instrument against it. Vendor ...

Founding Data Engineer

New York, NY · On-site

$125K - $150K/yr

Our PostHog telemetry is live. The broader data model is yours to design. You'll work closely with our growth engineering team: you design the tracking model, they instrument against it. Vendor ...

Proficiency in A/B testing and feature flagging tools such as Optimizely, Posthog, or Statsig. * Strong analytics skills, including comfort with SQL and product analytics platforms like Amplitude ...

Ship A/B tests through PostHog, implement feature flags, and iterate based on data * Rapid Iteration : Work in tight cycles with our designer - design in morning, ship by EOD * Component Development

Growth Engineer

New York, NY · On-site

$100K - $250K/yr

Use dashboards (Posthog, Grafana, Datadog, etc.) to analyze usage behaviour and patterns, and then use that to (1) steer our top-of-funnel growth marketing and (2) drive engagement across our ...

Ensure consistency across BigQuery, BI tools, Amplitude/PostHog, marketing platforms, and finance reporting. * Proactively identify and resolve discrepancies, reporting gaps, and tracking issues ...

We have a lot of data - across our learning platform, Stripe, HubSpot, PostHog, customer.io, website analytics, NPS surveys, and more - and strong engineering capacity. We know the broad shape of the ...

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Posthog information

What is the difference between Posthog vs Data Analyst?

AspectPosthogData Analyst
Primary RoleProduct analytics and user behavior trackingData interpretation and reporting for business insights
Required SkillsAnalytics tools, SQL, JavaScript, data trackingStatistical analysis, data visualization, reporting
Work EnvironmentTech teams, product developmentBusiness units, marketing, finance
Common CertificationsNone specific, technical proficiency preferredData analysis certifications (e.g., Google Data Analytics)

Posthog focuses on product analytics and tracking user behavior within digital products, often used by technical teams. Data Analysts interpret data to generate business insights, working across various departments. While both roles involve data, Posthog is more technical and product-focused, whereas Data Analysts have a broader business analysis scope.

Is PostHog fully remote?

PostHog offers fully remote roles, allowing employees to work from anywhere. The company supports remote work arrangements and values flexible schedules, making it suitable for candidates seeking remote opportunities.

What job is most in demand right now?

Data analyst, software developer, and cybersecurity roles are currently among the most in demand across industries. Skills in data analysis, programming, cloud computing, and cybersecurity certifications are highly sought after by employers. These roles often require proficiency with tools like SQL, Python, and cloud platforms such as AWS or Azure.

What jobs pay $10,000 a week?

High-paying jobs that can reach $10,000 a week often include roles such as specialized surgeons, senior corporate executives, successful entrepreneurs, and certain sales or trading professionals. These positions typically require advanced skills, extensive experience, or significant responsibilities, and may involve high-pressure environments or performance-based compensation structures.

Is PostHog a good company to work for?

PostHog is a technology company known for its open-source product analytics platform. Employees often cite a collaborative environment, remote work options, and opportunities to work with modern tools as positive aspects, though individual experiences may vary. As with any company, researching current employee reviews can provide additional insights into the work culture.
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Founding Data Engineer

Flora AI

New York, NY • On-site

$170K - $240K/yr

Full-time

Posted 4 days ago


Job description

About FLORA
We are building the first creative operating system: an infinite canvas designed for the generative computing paradigm. We're a team of ~45 focused on elevating professional craft, backed by tier-one investors including Redpoint, Menlo Ventures, and a16z, as well as founders like Guillermo Rauch and Justin Kan. Our platform is already the choice of world-class creative powerhouses like Pentagram, Lionsgate, and Nike.
About the role
We're hiring a Senior or Staff Data Engineer to build FLORA's data function from scratch. You'd be the first data hire, working directly with the CTO and Head of Product to define what data means here: how we capture it, store it, analyze it, and turn it into decisions.
You'll wire up our warehousing and pipelines, pin down the metrics that actually matter (activation moments, power users, engagement quality), and build dashboards that get used. Our PostHog telemetry is live. The broader data model is yours to design.
You'll work closely with our growth engineering team: you design the tracking model, they instrument against it. Vendor decisions are yours too, picking BI tooling, making the infrastructure calls that'll hold as we scale.
What you'll do
  • Audit existing PostHog data, events, and user behaviors
  • Design and implement data models with solid metadata collection
  • Stand up data infrastructure, warehousing, and processing pipelines
  • Evaluate and select core technologies
  • Build executive-level BI dashboards that drive product and growth decisions

We're looking for
  • 6+ years in data engineering or analytics engineering (former people managers returning to IC work are strongly encouraged)
  • Proven ability to work on your own; you're the first data hire and we're counting on your judgment
  • Deep SQL fluency and strong fundamentals in at least 1 modern data platform (Snowflake, BigQuery, Databricks, ClickHouse, MotherDuck etc.)
  • Hands-on infrastructure experience: you've set up pipelines, defined schemas, made tooling decisions from scratch
  • Strong product instincts and real business curiosity; you know what to measure, what's vanity, and how to frame findings for stakeholders
  • A hypothesis-driven approach; you ask questions about the business, not just the query
  • Comfort in hypergrowth; you can build fast and build for scale
  • Availability to work in-person 5 days a week

Nice to have
  • Python proficiency (preferred, though we're flexible on other languages)
  • TypeScript; we're a full-stack TS shop and you'll collaborate closely with engineers
  • Deep PostHog experience (cohorts, funnels, feature flags, warehouse sync)
  • Experience with activation models, conversion rate analysis, and A/B testing
  • Background in SaaS/web app analytics, or adjacent fields like supply chain or finance
  • Experience with creative tools or product-led growth companies