Jobs at Swayable

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.

Build and optimize Swayable’s AI and analytics engine using Python, scientific computing, machine learning, and distributed systems. Responsibilities include architecting scalable high-performance computing solutions, productizing AI and data analysis, developing new features, maintaining code quality, collaborating with engineers and researchers, and mentoring junior engineers.

Own the full enterprise sales cycle for Swayable’s AI and automated data science platform, from prospecting through close. Build strategic relationships with Fortune 500 brands and marketing agencies, develop account strategies, lead consultative sales conversations, navigate complex buying processes, create proposals and RFP responses, and manage pipeline forecasting while meeting new business targets.

Owns the systems, data, reporting, processes, and automations supporting Sales, Customer Success, and Marketing. The role manages the GTM technology stack, data integrity, dashboards, forecasting, segmentation, pipeline design, account mapping, commission workflows, and cross-functional growth initiatives. It also improves sales productivity, streamlines lead-to-customer processes, and partners with leadership on revenue strategy and operating plans.

This is a general submission role inviting resumes for potential fits in various unspecified positions.

Own product marketing at the intersection of product, engineering, sales, and go-to-market. Responsibilities include translating technical innovations into sales enablement materials, managing product launches, developing onboarding and certification programs, maintaining the standard demo narrative, gathering field feedback, identifying expansion opportunities, and creating pilot-to-program conversion playbooks. The role requires strong storytelling, cross-functional collaboration, project management, competitive positioning, and B2B SaaS product marketing experience.

Lead and scale the Client & Research Success team to ensure client satisfaction, retention, and expansion. Own client relationships, enforce research methodology and QA standards, build operational playbooks, tooling, and reporting, and represent client health cross-functionally. Coach the team on commercially-minded client management and translate research methodology into actionable product and client guidance.

Lead relationships, retention, growth, and expansion for enterprise clients. Partner with Sales and Client Success to identify opportunities, support product adoption, win pitches, negotiate contracts, and ensure client satisfaction and usage while advising on market trends and product needs.

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.

Conduct research pushing experimental and causal-methodologies in public opinion, develop tools and prototypes to analyze experimental data, and communicate findings to internal teams and clients to inform platform features and insights.

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.

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.

The Controller will oversee financial operations, ensure accurate reporting, manage accounting systems, payroll, and lead audits in a fast-paced SaaS environment.

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.

Lead and build a full-funnel demand generation and marketing operations function: design multi-channel campaigns (email, paid, content, events, ABM), administer HubSpot, run email programs, own martech stack, instrument funnel reporting and attribution, partner with Sales/RevOps to convert inbound pipeline, and apply AI to improve targeting and execution.