Swayable

Senior engineer developing and productizing AI, machine learning, scientific computing, and data-analysis capabilities for a high-performance analytics engine. Requires 5+ years building quantitative data-intensive software and expertise in Python, machine learning, scalable architecture, and distributed computing.

Own new-business sales for an AI and automated data science platform, targeting strategic enterprise brands and senior marketing stakeholders. The role requires at least five years of marketing technology sales experience, a strong quota-hitting record, and established relationships across major brands or agencies.

Own the systems, data, reporting, forecasting, and processes that power the company’s go-to-market engine. The role partners across Sales, Customer Success, Marketing, Finance, and leadership to improve revenue efficiency and scalability.

The Product Marketing Manager will translate technical product developments into sales messaging, enablement materials, launch programs, demos, and onboarding curriculum. The role requires 4–6 years of product marketing experience in B2B SaaS, strong storytelling, and the ability to collaborate with engineering, product, sales, and marketing teams.

Lead the Client & Research Success team at Swayable, owning end-to-end client relationships, retention, expansion, and delivery quality for their AI public opinion platform. Enforce rigorous research standards, scale operations and playbooks, coach the team, and represent the function in leadership forums. Requires 10+ years in client success or related fields with team leadership experience.

Lead relationship development, retention, growth and expansion for Swayable's enterprise and strategic clients in public opinion and advertising measurement. Build executive relationships, win pitches, negotiate contracts, and collaborate with sales, success and product teams. Requires 8+ years in senior client-facing roles at agencies or research firms.

Build and own the full inbound demand generation system—multi-channel campaigns, HubSpot architecture, ABM, email, and funnel reporting—to consistently create qualified pipeline for an AI public-opinion platform.

Owns financial operations for a 50-person venture-backed SaaS company, including month-end close, financial statements, SaaS metrics, payroll, audits, and QuickBooks systems. Requires CPA and 5-8 years accounting experience, ideally with SaaS revenue recognition.

Conducts advanced data science research on public opinion and causal modeling using experimental data. Develops tools, prototypes platform improvements, and communicates insights. Requires Python data science stack fluency and statistical expertise.

Owns development of AI-powered features on a public opinion platform, from discovery and prototyping (including vibe-coding) to shipping and QA. Collaborates cross-functionally with engineering, data science, and design; requires bachelor's degree, Python/SQL proficiency, and GenAI experience.