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Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
As a Capability Associate, you will manage the delivery and sustainment of Air Defense products, optimizing operational processes, and ensuring effective communication with stakeholders about technology and mission requirements.
Top Skills:
AIComputer VisionHardware And Software ProductsNetworking TechnologySensor Fusion
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
As a Software Engineer, you will build APIs/services for payment processing and improve system performance, working closely with AWS cloud infrastructure.
Top Skills:
AWSAzureCassandraDynamoDBGCPGoJavaJavascript/Node.JsPostgresRedisRuby On Rails
super{set} is currently launching several new data driven start ups! We are solving problems across many spaces including SaaS, ML, and Infrastructure.
As the Co-Founder / Head of Product for a seed stage company, the role requires top-notch product management experience, technical acumen, strong strategic and operational business skills, and an entrepreneurial mindset. As a Co-Founder / Head of Product, you will be in the trenches with the super{set} team and be responsible for driving:
- Product strategy: what to build first and why
- Product management / development: executing on our plan and interfacing with the engineering team
- Team-building and hiring
- Go to market activity, preparing for investor meetings and other miscellaneous items
Qualifications
- Strong product management skills with excellent requirement and specification design
- Strong collaboration skillset (you will work closely with super{set}, founding engineers, and other stakeholders)
- Understanding and thought contribution to technical systems architecture internal and external to the application
- Good Software development life cycle experience across diverse teams across the organization
- Comfortability to have deep conversations with the Engineering teams
- Deep customer empathy and understanding the user scenarios and mapping of the same with product abilities
- Superior communication skills that will channel product thinking and pass over executional progress to internal and external stakeholders
- Quick starter
- Strong debugging skills that would require deep investigations into service and app level checks
- Very strong prioritization skills. Be able to evaluate and drive cost-benefit analysis while balancing delivery timelines
- Strong UI/UX thinking around features. Sometimes requires quick mockups
- Metrics and data driven and be able to derive and articulate values around features
- Multi-tasking is a core skill that the person should be adept at as they will be handling multiple work streams at once and should be able to juggle without losing focus on execution pipeline and priorities
super{set} San Francisco, California, USA Office
23 Geary St, San Francisco, CA, United States, 94108
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



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