Jobs at Arpeely

Manage day-to-day office operations, welcome visitors, maintain supplies and equipment, coordinate vendors and maintenance, handle purchases and invoices, support onboarding/offboarding and company events, and continuously improve workplace experience.

Lead end-to-end user acquisition and growth using AI-first tooling. Build scrapers, automations, and custom AI workflows, run A/B tests, and develop sub-products and experiences without heavy developer reliance to drive clicks, sign-ups, and retention.

Lead and mentor a data science team, define data strategy, manage end-to-end ML projects, analyze large datasets, build algorithmic solutions, and communicate insights to senior leaders to support revenue-driving decisions.

Build long-running, self-improving AI agents that automate multi-step growth and algorithm workflows. Design feedback loops, evaluations, state management, cost-reduction strategies, and a company knowledge hub. Partner across teams to identify and validate automations, evaluate new models and agent frameworks, and ensure reliable, cost-effective production deployment.

The COO will lead corporate strategy, oversee fundraising processes, establish company operations, and provide operational leadership across departments.

The Senior Data Engineer will manage big data pipelines, ensuring robust architecture and data integrity, while leading complex projects in a fast-paced environment.

Design and develop core modules for a new consumer-facing product, focusing on low-level R&D and performance optimization.

The Senior Backend Developer will design and operate high-throughput services, implement cloud infrastructure, and collaborate with data scientists on system development.

As an Applied AI Data Scientist, you'll manage and execute projects using Machine Learning and AI to create scalable data solutions and derive insights from large datasets.

Own supply-side technical operations: monitor exchanges for anomalies and revenue, build AI agents and automation for monitoring and compliance, triage ad quality issues, act as technical POC to exchanges and clients, and partner with Engineering and Data Science to turn field signals into tools, dashboards, and business actions.

Build and run Ace's end-to-end customer experience function: design and ship AI auto-resolution agents, operate support queues, define CX metrics, turn support signals into product improvements, drive revenue via upsells and retention, own help center content, and hire/lead human and AI support as the function scales.

The Senior Product Manager will lead product development, defining strategy, collaborating with cross-functional teams, and iterating based on user feedback for an AI-powered browser.

As a Product Builder, you will own product areas end-to-end, prototype user-centered features, collaborate with design and engineering, and analyze post-launch performance to drive improvements.