Top Tech Jobs & Startup Jobs in Austin, TX

The Senior Manager, Strategic Sourcing leads end-to-end procurement for Open Systems and Cloud, managing teams, client engagements, and commercial outcomes. Responsibilities include supplier strategy, asset management, and driving cost optimization and process improvements.

Lead complex data migration efforts for customers. Oversee the migration lifecycle, ensure data accuracy, and mentor junior team members.

The Product Marketing Manager will lead product launches, develop content for awareness and pipeline, maintain messaging consistency, and collaborate with sales for enablement. They will also analyze customer journey data and contribute to scalable go-to-market assets.

The Partner Solutions Engineer builds relationships with partner SEs and technical leaders, supports partner sales with technical needs, and drives partner-informed product enhancements through collaboration with key ISVs.

The Director, Growth Marketing drives demand generation initiatives, leads marketing strategies, and mentors a growth marketing team to enhance pipeline creation and revenue.

As a Senior Software Engineer at Aspire, you'll lead the development of user-facing features, manage complex projects, and collaborate with cross-functional teams to enhance product functionality.

The Lead Product Manager oversees product lifecycle management, leading projects and teams, providing specialized knowledge, and influencing policies within the company.

The role involves providing expertise in energy services for M&A engagements, advising on market intelligence, operational diligence, and sponsoring outreach, leveraging deep industry experience and networks.

Lead demand generation strategy and execution for B2B SaaS, driving digital initiatives (ads, SEO, email, social), sales enablement, product positioning, content creation, and marketing tech stack management to generate high-quality leads and measurable results.

Intern will write code (Python or JavaScript/TypeScript), assist with CI/CD and Docker, support API and data pipeline integrations, help deploy ML models in test/staging, debug issues, create automation scripts, and learn cloud fundamentals and compliance practices while participating in team meetings and documentation.