Top Tech Jobs & Startup Jobs

Lead end-to-end product design for complex B2B SaaS workflows across discovery, research, prototyping, delivery, and iteration. Simplify data-heavy experiences, thoughtfully integrate AI, conduct user research, maintain the design system, present to executives, and partner with product and engineering teams. The role includes informal mentoring, cross-functional leadership, and managing shifting priorities in a fast-paced environment.

The Senior Data Analyst translates commercial business needs into technical data specifications, writes complex SQL queries, extracts and validates large datasets, and automates workflows with Python. The role delivers accurate analytics and reporting, communicates findings to technical and non-technical stakeholders, supports pre-sales and RFP activities, manages competing requests, and collaborates with Operations, Strategy, and Data Engineering teams.

Manage and grow strategic enterprise accounts within pharma and biotech clients. Retain revenue, identify and close expansion opportunities, engage C-suite decision-makers, conduct discovery and platform demonstrations, negotiate contracts, and forecast sales performance. Collaborate with marketing, customer success, and product teams to support successful implementations and client experiences. The role requires enterprise B2B technology sales experience and comfort managing complex sales cycles valued at $500,000 to $1.5 million ARR.

Owns the financial activities of H1’s corporate development function, including M&A target screening, valuation modeling, due diligence, synergy analysis, transaction execution, partnership evaluation, and integration planning. The role partners with executives and cross-functional teams to assess strategic opportunities, build financial models, negotiate transactions, and develop build, buy, or partner recommendations. It also maintains an opportunity pipeline and tracks market developments across fintech, payments, trading, and financial infrastructure.

Design, build, and manage scalable AWS cloud infrastructure using Terraform and Infrastructure as Code. Own infrastructure projects from design through deployment, troubleshooting, and optimization. Automate provisioning with Python or Bash, maintain CircleCI pipelines, support Docker and Kubernetes environments, optimize cloud costs, and troubleshoot AWS infrastructure, networking, permissions, databases, and deployments in collaboration with engineering teams.

The Staff Accountant manages revenue operations, month-end close activities, and revenue recognition under US GAAP. Responsibilities include validating billing and deferred revenue, reviewing contracts, processing credit memos, preparing journal entries and reconciliations, analyzing variances, resolving billing discrepancies, and supporting external audits. The role requires collaboration with accounting, billing, customers, and auditors in a fast-paced SaaS environment.

Lead design and development of the H1 Knowledge Graph and Search platform. Own feature lifecycle, evolve search/graph systems, optimize performance and scalability, maintain data pipelines, ensure data quality and security, mentor engineers, and drive architecture and integration patterns.

Supports global revenue operations through territory and quota planning, KPI reporting, performance analysis, dashboard development, AI-enabled workflow improvements, deal desk execution, CRM governance, and commercial process optimization. Partners with Sales, Marketing, Customer Success, Enablement, and Finance to improve productivity, data quality, and operational effectiveness.

The Staff Data Engineer will lead the architecture and scalability of H1's healthcare data processing systems, ensuring efficient entity resolution and big data operations. Responsibilities include design and optimization of distributed Spark pipelines, team leadership, and collaboration with AI/ML teams to enhance data processing capabilities.

Build and operate production clinical-trial data pipelines using Python, PySpark, and SQL. Transform diverse source data into internal models, develop quality checks and reconciliation, investigate data issues, and improve observability. Partner with clinical subject matter experts and customer-facing teams to translate domain knowledge into reliable pipeline logic. Deliver customer-driven changes under enterprise SLAs while maintaining engineering standards through testing, code review, documentation, and CI/CD.