Top Tech Jobs & Startup Jobs

Own end-to-end consumer growth, including acquisition, onboarding, retention, funnel optimization, and rapid experimentation. Build AI-powered automations, pipelines, landing pages, interactive experiences, sub-products, and custom workflows using modern AI builder tools. Analyze conversion data, make fast decisions, lead cross-functional initiatives, and potentially manage junior growth builders or a future growth team.

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.

Own mobile product features end to end, building React Native and TypeScript applications alongside Python backend services and APIs. Work across databases, analytics, cloud infrastructure, testing, deployment, observability, and releases. Collaborate with product and design to create polished user experiences, analyze performance data, and make pragmatic technical decisions. The role requires strong ownership, product judgment, communication, and the ability to operate effectively in an early-stage environment.

Identify and develop new growth opportunities for Arpeely, including sourcing monetization partners for Ace.ai Browser and onboarding companies to Arpeely’s DSP. Own deals from market mapping and outreach through business-case development, negotiation, execution, and launch. Manage partner relationships, advocate for partner needs internally, and execute strategic initiatives that strengthen the company’s AI suite and performance advertising business.

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.

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.