Remote Jobs at H1

Candidates should possess a Bachelor's degree and a minimum of 7 years of experience in customer success, preferably within the life sciences industry. Strong experience in strategic account management, stakeholder engagement, and driving customer adoption is essential. Demonstrated ability to manage complex projects and collaborate with cross-functional teams is also required.

Candidates should possess hands-on data engineering experience, a visionary approach to system building, a strong track record of creating scalable systems and pipelines, the ability to work independently and navigate complex challenges, experience in cross-functional collaboration and strategic alignment, clear communication skills, and the ability to solve complex data problems and deliver innovative solutions.

Candidates should possess 6+ years of experience successfully selling enterprise B2B SaaS technology, including managing new logo acquisitions and renewals, prior experience and success in closing complex sales-cycles in the $250K - 1.5M ARR range, strong communication, negotiating and consultative sales skills, and comfort with traveling to customers 20% of the time.

Candidates should possess 6+ years of experience in data engineering, working with large-scale data systems and pipelines, and a strong understanding of Large Language Models (LLMs) and their applications. Familiarity with model training and fine-tuning, particularly in NLP (Natural Language Processing) contexts, is beneficial, along with basic knowledge of network, security, and encryption protocols such as HTTP/HTTPS/TLS.

The ideal candidate has 5+ years of hands-on experience with AWS cloud infrastructure, or equivalent experience in a fast-paced startup environment. Strong experience with cloud platforms, preferably AWS (experience with Azure or GCP is a plus). Proven expertise in Infrastructure as Code (IaC) using tools like Terraform and CloudFormation. Proficient in CI/CD pipeline design and automation using tools such as GitHub Actions and CircleCI. Basic understanding of Kubernetes and container orchestrat…

Candidates should have 7+ years of full-stack engineering experience, including direct collaboration with enterprise clients and cross-functional teams. Familiarity with JavaScript and backend technologies such as SQL (PostgreSQL preferred), along with strong programming skills in Python is required. Hands-on experience with data platforms and pipeline tools in an AWS environment, including Airflow, AWS EMR, EKS, and custom ETL workflows, is necessary. The role also requires proven ability to me…