Top Remote Jobs in Buffalo, NY

Lead an agile engineering team to design and implement scalable cloud microservices using AI tools. Architect solutions, conduct code reviews, mentor engineers, maintain production platforms, and align technical decisions with business goals.

As a Senior Analytics Engineer, you will create business intelligence tools using SQL and dbt, develop dashboards, and collaborate with teams to improve data-driven decision-making.

Design and build platforms for new products, develop generative AI features, ensure system reliability, and foster a collaborative culture in a startup environment.

The Finance & Accounting Lead will oversee financial operations, ensure compliance, manage reporting, budget planning, and lead strategic initiatives while building a scalable accounting infrastructure.

As a Senior Product Designer, you will lead end-to-end UX design, conduct user research, create prototypes, and collaborate with teams to enhance product strategy and user experience.

Lead growth marketing initiatives for US launch, managing ad campaigns, building funnels, and analyzing metrics like CAC and LTV. Collaborate with creative teams and run experiments to optimize acquisition strategies.

The AI-Enhanced Virtual Assistant will support AI integration, administrative tasks, communication management, project coordination, and client interaction to enhance operational efficiency.

Lead content strategy and production for a YouTube channel, guiding a team of creatives and driving viewer engagement through compelling storytelling and high-quality content.

Design and build AI-powered features leveraging LLMs and retrieval systems. Integrate data systems and create applications for sports analytics. Collaborate with cross-functional teams for high-quality product development.

Design, iterate, and productionize ML models for recommendation, ranking, routing, and monetization. Lead A/B testing and causal measurement, build dashboards and analytics, define metrics, collaborate with Product and Engineering, and scale ML/analytics infrastructure and model lifecycle management.