Top Tech Jobs & Startup Jobs in Austin, TX

Manage a portfolio of healthcare market research clients, build long-term relationships, generate bids and proposals, consult on sample design, liaise with vendors and internal teams, support project timelines and issue resolution, and assist business development and finance functions.

Seeking a Software Engineer with 3+ years experience in software development, programming (Go, Java, C++, C#), and strong analytical skills.

Perform outbound prospecting (calls, email, LinkedIn) to generate qualified leads, conduct discovery calls, collaborate with Account Executives and Marketing, and meet quarterly meeting targets while refining outreach tactics and maintaining CRM.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

As a Client Success Manager, you'll manage client relationships, oversee technical project delivery, and ensure project milestones are met effectively, while using AI tools to enhance workflow and engagement.

As a Founding Engineer, you'll lead product development initiatives, make architectural decisions, and foster engineering best practices in a startup environment. Your expertise will be critical in building a user-friendly AI-driven supply chain platform.

As a Pre/Post Sales Solutions Architect, you will demonstrate Gremlin's reliability solutions to customers, consult on architectures, and engage in technical projects while collaborating with internal teams.

Design and deliver RevOps strategies on HubSpot: analyze data, map marketing/sales/service workflows, identify gaps, prioritize revenue plays, manage KPIs, lead projects, and drive organizational change to produce measurable revenue impact for partners.

Lead design, deployment, and optimization of PostgreSQL clusters for a mission-critical SaaS platform. Ensure HA, DR, security, performance tuning, backups, automation, cloud management, on-call incident response, and collaborate with DevOps and development teams on schema and capacity planning.

Review and evaluate AI-generated responses, annotate and validate text/conversations, identify linguistic and contextual issues, and ensure annotations meet quality and linguistic guidelines to improve LLM performance.