Top Tech Jobs & Startup Jobs

Design and ship marketing, landing, and campaign web pages that reflect the brand. Partner with front-end and design engineers to take work from concept to production, prototype interactions and motion, work within and evolve the web design system, own key web initiatives, audit and refine the site, and occasionally extend work to email and social assets.

The Product Manager will define the vision and roadmap for an AI-native content management system, overseeing its creation, review, and publication processes while collaborating with customers, engineering, and design.

Oversee and enhance Profound's real estate and workplace operations, ensuring efficient space utilization, culture promotion, and smooth office functioning across locations.

Lead end-to-end lifecycle strategy for acquisition, nurture, activation, and retention. Build and run lead nurture, re-engagement, and onboarding programs in HubSpot/Customer.io, implement experimentation and A/B testing, align with Demand Gen, Sales, RevOps, and Product, and own lifecycle reporting to drive pipeline and retention.

Lead and develop a team of Engagement Managers to drive implementation, adoption, retention, and expansion across scaled SMB and mid-market accounts. Build and evolve playbooks, automation, health scoring, and lifecycle motions; partner with Product, Engineering, and Data to prioritize roadmap and tooling. Own team metrics, recruit and coach talent, and ensure scalable, measurable customer outcomes using both human and automated touchpoints.

Partner across teams to build financial models, drive strategic analyses on pricing, investment, and growth, support international expansion, and lead high-impact ad hoc projects to inform business decisions.

Manage a portfolio of 45–55 mid-market customers as the primary advisor. Own onboarding, implementation, and success planning to drive measurable outcomes, collaborate with Sales/Product/Engineering, and develop scalable and white-glove strategies while becoming an expert in AI search and large language models.

Manage and develop a global Support Engineering team, establish 24/7 support operations, and oversee customer technical support strategy and metrics.

Lead and build the company's deal desk end-to-end: validate pricing and deal structure, QA order forms, manage quote-to-sign workflows, enforce approval matrices and playbooks, maintain CRM/CPQ/CLM hygiene, run deal audits and metrics, partner with Sales/Finance/Legal, and design AI automations to reduce manual work and speed deal velocity.

Serve as primary advisor for 25–35 enterprise customers, owning onboarding through measurable outcomes. Conduct strategic reviews, identify opportunities and risks, build stakeholder relationships, become an AI search and LLM expert, multi-thread engagements, and partner with Sales, Product, Engineering, and Account Management to optimize implementations and resolve technical challenges.