Jobs at Dealops

Own the full sales cycle from outbound prospecting through negotiation and close. Build pipeline, develop outbound campaigns, refine ideal customer profiles, shape the GTM playbook, and navigate multi-stakeholder deals. Partner with the CEO and cross-functional teams to establish repeatable sales processes, improve positioning, support onboarding, and help build Dealops' revenue engine for AI and SaaS customers.

Own post-sale relationships, retention, renewals, and expansion for AI and enterprise software customers. Build the account management playbook covering onboarding, QBRs, health scoring, and expansion motions. Serve as a trusted advisor to pricing, RevOps, Finance, and Sales leaders; identify growth opportunities; collaborate with GTM, Product, and Engineering; and establish scalable customer success systems as the company grows.

Own customer activation, onboarding, pilots, implementations, and training for an AI-driven pricing and deal platform. Partner with pricing, RevOps, Product, Finance, and GTM leaders to connect customer needs, data insights, and product capabilities. Identify repeatable deployment patterns, create playbooks, improve adoption and expansion, and influence product and go-to-market strategy through hands-on client work.

The Founding Sales Development Representative will build Dealops’ outbound pipeline engine from the ground up. Responsibilities include researching target accounts, engaging prospects through email, LinkedIn, calls, and experiments, qualifying opportunities, testing messaging and sequencing, refining the ideal customer profile, and collaborating with executives, account executives, and Product. The role targets AI and SaaS companies and offers exposure to senior Finance, GTM, and RevOps stakeholders.

Build and own full-stack features for an AI-powered deal pricing and revenue optimization platform. Responsibilities include developing pricing recommendations, integrating machine learning and rule-based systems, designing A/B pricing experiments, processing natural-language data, building LLM-powered admin tools, incorporating customer feedback, and owning products from design through implementation. The role also supports customer onboarding, project leadership, and future product strategy.