Swayable

HQ
San Francisco
Total Offices: 2
20 Total Employees
Year Founded: 2017

Jobs at Swayable

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Recently posted jobs

19 Days AgoSaved
In-Office or Remote
San Francisco, CA, USA
AdTech • Marketing Tech • Social Impact • Software • Analytics
Build and improve Swayable’s AI and analytics engine using Python, scientific computing, machine learning, and distributed systems. Develop scalable, high-performance software, optimize parallel computing architecture, productize AI and data analysis capabilities, and collaborate with engineers, data scientists, and researchers. The role also includes designing new features, maintaining testable code, mentoring junior engineers, documenting decisions, and providing technical feedback.
One Month AgoSaved
In-Office
San Francisco, CA, USA
AdTech • Marketing Tech • Social Impact • Software • Analytics
Lead enterprise account relationships to drive retention, growth, and expansion. Partner with Sales, Client Success, and Revenue Operations to identify opportunities, win pitches, negotiate contracts, ensure client satisfaction and product adoption, and inform product development based on market trends.
One Month AgoSaved
In-Office or Remote
San Francisco, CA, USA
AdTech • Marketing Tech • Social Impact • Software • Analytics
Conduct data science research advancing experimental and causal methodologies; develop robust tools and prototypes to analyze experimental data; improve core platform features; and communicate findings to internal teams and external stakeholders to drive insights and product improvements.
One Month AgoSaved
In-Office
2 Locations
AdTech • Marketing Tech • Social Impact • Software • Analytics
The Product Manager will develop innovative AI features, collaborate with cross-functional teams, utilize data analytics for decision-making, and engage with the AI community.
One Month AgoSaved
Remote
USA
AdTech • Marketing Tech • Social Impact • Software • Analytics
Conduct data science research on experimental methodologies and causal modeling, develop tools to analyze experimental data, prototype improvements to platform features, and communicate results to internal teams and external stakeholders to drive product and research decisions.