Jobs at Profound

Lead Profound’s design vision and team while shaping an AI-native product experience. Partner with founders, product, and engineering leaders on strategy; establish design systems and quality standards; hire and develop designers; guide visual and interaction design; prototype hands-on; and use customer research and data to create intuitive experiences for complex workflows, analytics, and AI agents.

Own end-to-end GTM enablement programs, including needs analysis, curriculum and content development, live training, manager coaching, technology adoption, and performance measurement. Partner with Sales, Customer Success, Marketing, Product, and RevOps leaders to address performance gaps, support onboarding and ongoing development, and improve business outcomes. The role also drives scalable program documentation, stakeholder alignment, and continuous iteration across revenue teams.

Leads and develops a customer-facing Forward Deployed Marketing Engineering team. Responsibilities include hiring, coaching, managing performance, leading onsite customer engagements, setting delivery standards, building partner capability, coordinating account delivery, collaborating with Product and Engineering, and turning successful marketing workflows into repeatable templates and playbooks.

Directs the company’s accounting, audit, tax, deal desk, payroll, and procurement functions. Oversees third-party accounting partners, monthly close, accounts payable and receivable, financial reporting, GAAP compliance, audit readiness, tax advisors, and financial systems. The role also maintains QuickBooks and Ramp, supports ERP transition planning, and builds an accounting team in a high-growth startup environment.

Embed with customer marketing teams to identify opportunities, build and refine AI-powered workflows and agents, and drive adoption of Profound. Apply marketing judgment to research, briefs, content, campaigns, reporting, and page audits. Partner with account and engineering teams, train agency and consulting partners, create reusable playbooks, and communicate product opportunities. The role requires regular onsite customer work and travel from the NYC or San Francisco office.

Owns multi-country payroll across the US, UK, Singapore, Argentina, and EOR countries. Responsibilities include payroll operations, tax and statutory compliance, benefits deductions, contractor payments, vendor and EOR management, equity and commission processing, reconciliations, controls, and audit readiness. The role will also lead payroll expansion into new countries and use AI and automation to improve accuracy and reduce manual work while protecting sensitive employee data.

Owns go-to-market operations supporting sales leaders and representatives, with a focus on territory design, coverage, account routing, CRM data quality, reporting, and operating cadences. Leads strategic GTM projects from planning through adoption and partners with Revenue Systems, GTM Engineering, Sales, Marketing, Finance, and Post-Sales. Builds scalable processes, dashboards, and tools while translating data into actionable recommendations. The role will expand into compensation, planning, and analytics as the company grows.

Build and scale AI-powered demand generation systems, including lead scoring, routing, ABM intent modeling, lifecycle marketing, funnel optimization, agents, automations, and performance experiments. Partner with Sales and RevOps to improve conversion, customer adoption, expansion, and net dollar retention. Use SQL and Python to create marketing workflows and tooling while managing performance marketing and lifecycle programs.

Own the complete sales cycle for SMB, mid-market, or enterprise accounts, including prospecting, outreach, pipeline management, relationship development, negotiation, and closing. The role requires adapting sales strategies to different deal sizes, exceeding quotas, and collaborating cross-functionally to secure high-impact SaaS deals. This is a remote position with a consultative, relationship-driven focus.

Own approximately 20 enterprise accounts and drive renewals, expansions, cross-sells, and upsells. Manage customer relationships from onboarding through renewal, lead executive business reviews and commercial negotiations, forecast revenue using CRM data, and collaborate with Product, Engineering, and Engagement Management to increase adoption and demonstrate measurable customer value.

Own end-to-end customer relationships for Ads Studio beta accounts: onboarding, pixel implementation, bidding and campaign setup, reporting, account health monitoring, and translating customer needs into product requirements while building repeatable playbooks.

Leads and builds Profound’s San Francisco solutions consulting team. Responsibilities include hiring and coaching consultants, supporting strategic enterprise deals, overseeing discovery, demos, POCs, and technical evaluations, developing repeatable sales playbooks and tools, maintaining technical deal visibility, partnering with Sales, Product, and Engineering, and translating customer needs into measurable business value. The role requires strong SaaS pre-sales leadership, technical fluency in APIs, data models, integrations, BI, analytics, and AI-driven search experiences.

Provide technical customer support by triaging tickets, investigating logs, reproducing bugs, writing queries, and escalating issues to Engineering. Maintain SLAs, participate in on-call coverage, create runbooks and knowledge-base content, support integrations, communicate during incidents, and identify recurring customer pain. Partner with Engineering, Product, Customer Success, and Account Management while improving AI-assisted support tooling.

Leads and develops a team of Engagement Managers serving scaled enterprise, SMB, and mid-market customers. Owns retention, adoption, expansion, and customer health metrics while designing scalable engagement playbooks, lifecycle automation, intervention strategies, and operational processes. Partners with Sales, Account Management, Product, Engineering, and Data to improve customer outcomes and influence product roadmaps. Recruits and coaches talent and drives AI-enabled, data-informed customer success programs.

Leads and develops a high-performing SDR team responsible for prospecting, booking meetings, and exceeding pipeline goals. Owns top-of-funnel metrics, pipeline quality, and influenced revenue while recruiting, onboarding, coaching, and retaining SDR talent. Partners with Marketing, Sales, GTM Operations, and Enablement on campaigns and events. Orchestrates personalized outbound campaigns and uses data-driven analysis, AI, and experimentation to improve sales development effectiveness.

Partner with sales, product, and customer success teams to build financially grounded business cases for enterprise customers. Develop ROI, TCO, payback, NPV, and value-realization models; facilitate discovery with executive stakeholders; translate operational improvements into financial outcomes; present recommendations to senior leaders; address budget objections; and improve reusable value-selling methodologies, benchmarks, calculators, and tools.

Leads and develops senior Engagement Managers overseeing complex enterprise customer relationships. Owns retention, adoption, and expansion metrics; establishes engagement playbooks; manages escalations and executive stakeholder relationships; coaches teams on strategic business reviews; collaborates with Sales, Account Management, Product, and Engineering; influences product priorities; and recruits talent while building expertise in AI search.

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.

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.