Jobs at Hyperbound

Manage hands-on growth marketing campaigns for a B2B SaaS company, including Google and LinkedIn advertising, audience targeting, budget allocation, creative testing, conversion tracking, SEO/AEO, landing pages, and content. Collaborate with Sales, Product Marketing, Field Marketing, and leadership to generate qualified demand and pipeline. Analyze CAC, ROAS, conversion rates, lead quality, and pipeline contribution to optimize campaigns and recommend improvements.

Own end-to-end video production and motion design for Hyperbound, from concepts, scripts, and storyboards through filming, editing, sound, color, animation, and delivery. Create product demos, customer stories, founder content, campaigns, social videos, and explainer graphics. Collaborate with Marketing, Product, Sales, and Leadership while building video production workflows and managing external creative partners as needed.

Own quality for web and SaaS product areas through test planning, functional and exploratory testing, user acceptance testing, automated regression coverage, API validation, bug investigation, and fix verification. Partner with product, engineering, and Solutions Engineers to assess release readiness, reproduce customer issues, communicate quality risks, and improve testing processes in a fast-moving startup environment.

As a Full-Stack Software Engineer, you'll develop applications using Next.js and Node.js, support AWS infrastructure, and own end-to-end fixes in your code.

Build and own production systems powering the go-to-market organization, including lead routing, enrichment, pipeline forecasting, scoring, deal-desk workflows, and integrated CRM, product, and billing data layers. Work closely with founders and GTM leadership to design revenue systems, dogfood the company’s AI sales products, and influence the product roadmap. Deliver software that improves revenue performance while operating in a fast-paced, fully in-office startup environment.

The Enterprise Account Executive will manage full-cycle sales, close high-value deals, develop sales strategies, and contribute to Hyperbound's growth in a dynamic environment.

Build and operate machine learning models powering roleplay, scoring, and coaching products. Own the full lifecycle from training and fine-tuning through production deployment and maintenance. Fine-tune open-source models, optimize them for cost and latency, deploy them on-device when needed, and develop evaluation frameworks, benchmarks, and regression suites. Collaborate closely with founders and engineers to shape product direction.

Own a book of mid-market accounts post-sale, drive adoption and revenue (GRR and NRR), run executive QBRs, identify and mitigate churn risk, expand seats and upsell, and convert customer success into references and case studies.