Top Tech Jobs & Startup Jobs

As a Customer Engineer at Hex, you'll enhance customer experience by onboarding new clients, advising on data strategies, and fostering long-term success through effective communication and technical guidance.

The VP, Product will define and execute Spark's product strategy, lead a product team, and enhance Medicare distribution through innovative solutions.

This role involves supporting the R&D department by coordinating projects, managing executive calendars, and ensuring efficient administrative operations. Responsibilities include overseeing meetings, handling travel arrangements, and maintaining data confidentiality.

Qualify and convert inbound enterprise leads across North America, partnering with Account Executives to drive pipeline. Maintain Salesforce data hygiene, analyze lead flow, run experiments using data and AI, craft persuasive outreach, and provide feedback to Marketing to improve campaign quality. Consistently meet monthly demo booking and conversion targets and ensure SLA-driven lead routing.

The Quality Engineer 2 ensures products meet quality standards by performing engineering analyses, supporting quality investigations, and developing quality plans and inspection criteria.

As a Backend ML Pricing Software Engineer, you'll design and implement core pricing services, enhance APIs, and collaborate with data scientists to optimize pricing models for Opendoor.

The General Manager, Lead Generation will launch a new lead generation business, creating strategy, operations, and team from the ground up to drive profitability.

The UX Researcher will conduct research to understand user needs and experiences, collaborate with product teams, and offer actionable insights to inform product strategy and design.

Lead architecture and delivery of AI-native features for a multi-tenant SaaS platform. Drive cross-functional technical initiatives, design scalable microservice systems, integrate LLMs and agent frameworks, set engineering standards, and mentor engineers to elevate technical execution.

Senior ML engineer building and deploying deep learning models (transformers, foundation models, transfer learning) for oncology real-world data. Responsibilities include research and development of predictive models (digital twins, endpoint prediction, trial optimization), extending models across data sources, supporting client engagements, and partnering with product and engineering to productionize reproducible, maintainable solutions while communicating results to technical and non-technical stakeholders.