Product Engineer

Lead data projects to align learning experiences with industry needs, Drive end-to-end analytics

jects for student success, Provide key insights for stakeholders, Conduct advanced statistical

Conduct user-centered research to improve product experiences

Collaborate cross-functionally to inform design and product strategy

Drive global user growth and retention

Design and optimize lifecycle marketing campaigns

Lead and execute impactful UX research studies

Deliver actionable insights for product direction

Develop and execute growth strategy Identify and prioritize opportunities Lead experimentation and

/B testing Collaborate cross-functionally Optimize product for user

Drive sustainable global user and revenue growth

Lead and develop a high-performing marketing team

Drive member activation and retention

Optimize engagement and subscription growth

Proactively advocate for product features and insights, collaborate with cross-functional teams,

nslate complex product information into accessible insights, guide and collaborate with teams,

Design, build, and maintain APIs that power our web and mobile applications.

Develop scalable and efficient backend systems to support new and existing product features.

Build robust analytics solutions for BeReal platform

Optimize user experiences and drive data-driven decisions

Lead data science team for business analytics

Develop scalable reporting solutions

Lead and mentor a data science team

Integrate analytics into business strategy

Drive end-to-end product development

Collaborate with cross-functional teams

Drive execution efficiency through automation and AI

Ensure reliability and adoption of systems

Mature the Analytics function at Jellyfish

Drive data-informed decision-making across various teams

Lead data projects to enhance analytics capabilities.

Query data warehouses efficiently using SQL.

Deeply understand billing system

Optimize subscription revenue

Prioritize and manage member experience initiatives

Drive experiments to boost engagement and retention

Own marketing analytics process

Define and track key metrics

Optimizing product performance through data analysis

Collaborating with key stakeholders for product decisions

Develop and execute North America CRM strategy across multiple channels

Drive growth and optimization through A/B testing and data analysis

Lead growth engineering team for signup-to-checkout funnel experiments

Deliver experiments using Amplitude and ship Rails/React features

Deliver A/B experiments on various aspects of the acquisition funnel

Coach and develop the engineering team through various methods

Lead team in growth-focused engineering projects

Conduct A/B experiments for acquisition funnel optimization

Define product positioning and messaging across segments

Execute go-to-market strategies for features and monetisation offerings

Enhance user onboarding and in-app guidance.

Create and maintain product documentation and tutorials.

Lead and manage the Growth engineering team.

Own the user funnel from signup to checkout.

Deliver protocol-level A/B experiments.

Ship full-stack features across the acquisition funnel.

Lead a team of engineers focused on growth experiments.

Deliver and manage A/B experiments on user acquisition.

Develop and maintain full stack web and mobile applications.

Implement and automate robust backend API services.

Design and develop user-facing backend services and web applications.

Collaborate effectively with team members and stakeholders.

Develop and maintain customer-facing applications and microservices on Kubernetes

Collaborate with cross-functional teams to document product and development details

Hire a remote Principal AI Engineer

Develop customer experience automation solutions

Support critical infrastructure Manage device tools Provide desktop/laptop support Maintain

None

Lead a team of engineers through ambiguity to solve problems

Collaborate with various stakeholders in product development

Develop backend systems for credit decisioning.

Collaborate with team members and stakeholders.

Leading the technical implementation of AI-driven data solutions

Translating customer needs into technical requirements

Lead technical implementation and optimization of data platform

Serve as primary technical contact for key accounts

Architect and maintain high-performance backend infrastructure

Integrate advanced AI and LLM technologies into data workflows

Lead backend development for AI-powered data solutions

Architect scalable systems and APIs for enterprise clients

Design and build scalable AI-driven backend systems

Integrate advanced language models into data workflows

Improve data infrastructure Optimize performance and accessibility Enable data-driven

g Collaborate with cross-functional teams Mentor and lead data

Deliver high-quality software using Node.js and Angular.

Lead and mentor engineering teams in Agile environments.

. Engage with developer community

. Provide technical support and guidance

Building advanced AI systems powered by LLMs and intelligent agents

Developing scalable backend systems

Build and productionize advanced AI systems

Develop large language model platforms

Build and productionize advanced AI systems

Develop scalable LLM-powered applications and agents

Build and deploy scalable AI systems for production use.

Develop advanced multi-agent architectures and conversational AI.