Product Lead, Eppo

Feature Flags & AI Experimentation

$190-230k

+ Equity

Senior and Expert level
Remote from US
Eppo

Data testing & experimentation platform

Job no longer available

Eppo

Data testing & experimentation platform

21-100 employees

B2BEnterpriseAnalyticsSaaSData Analysis

Job no longer available

$190-230k

+ Equity

Senior and Expert level
Remote from US

21-100 employees

B2BEnterpriseAnalyticsSaaSData Analysis

Company mission

To build the future of experimentation, so that every company can have an entrepreneurial, customer-oriented culture.

Role

Who you are

  • 5+ years experience as a product manager with at least a year of B2B product management experience focused on the engineering persona
  • 3+ years experience as a software engineer at tech companies, preferably a growth stage startup
  • Very comfortable with discovery. You know how to conduct research conversations to uncover insights
  • Keen product instinct. You have strong opinions about what we should build and why, balancing data and anecdotes to influence product decisions
  • Strong written and verbal communication, and ability to speak to both technical and non-technical personas
  • Experience working in a fast-paced technology company. You can adjust on the fly and keep pace with the speed of a growing team
  • Natural connector and communicator who is able to work with different teams from engineering to marketing, from sales to design

What the job involves

  • Eppo is looking for an experienced Product Manager to lead our engineering-persona focused products in Feature Flagging and AI experimentation. Feature Flagging is an established product and you’ll own the vision for this area
  • Through user interviews and market research, your goal is to create a compelling strategy and positioning for both products. You will prioritize the product roadmap and work with design and engineering to build the product. You’ll be responsible for working with prospects, customers, and cross-functional internal resources to drive adoption and revenue of these products
  • Own the engineer and AI engineer personas by talking with teams (prospects, customers, network) to understand their pain points with feature flags and experimentation
  • Conduct market and customer research to define and de-risk a strategy that meets adoption and revenue goals
  • Work with the engineering and design team to prioritize and ship a roadmap that delivers value based on the opportunity identified
  • Lead and orchestrate successful product launches by coordinating with internal teams to ensure timely and impactful releases that drive customer and prospect engagement
  • Define key adoption metrics and track the success of new features, providing regular reports and insights to guide decision-making
  • Collaborate with our GTM team to improve positioning, marketing, sales enablement, and documentation to increase our win rate of deals with flags included

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Company

Company benefits

  • Growth & Autonomy: Small team, big impact—grow alongside us!
  • Medical, Dental & Vision: 100% coverage for US based employees, 75% premium coverage for dependents
  • 401(k): Available through Human Interest (no match right now)
  • Learning & Development: $500 yearly for L&D resources
  • Flexible PTO: We’re big fans of working hard and recharging when needed!
  • Remote-First: A fully distributed workforce within the US and Europe
  • Company Offsite: Our annual offsite for collaboration and team fun!
  • Paid Parental Leave: 16 weeks for birth-parents, 12 weeks for non-birth parents

Funding (last 2 of 3 rounds)

Aug 2024

$28m

SERIES B

Jun 2022

$16m

SERIES A

Total funding: $47.5m

Our take

Effective A/B testing, where data science teams build and compare the performance of two versions of an app, is crucial for optimizing user experiences and driving product improvements. However, building the infrastructure for it can be complex. Eppo simplifies this by offering a platform that automates experiment analysis, diagnostics, and investigations, all in one place.

The company was created by Chetan Sharma, a former data scientist at Airbnb and Webflow, who was the need of a better commercial solution to avoid rebuilding A/B testing systems from scratch. Their experience led to the creation of Eppo.

Launched in mid-2022 with funding from Menlo Ventures, Eppo now competes with companies like Split and Optimizely. And aims to stand out by offering better performance through advanced analysis tools and AI-powered experimentation.

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Freddie

Company Specialist at Welcome to the Jungle