Jobs at Sayari

Own technical evaluations, deployments, and production integrations for major government and enterprise customers. Build Python, SQL, agents, tools, and REST integrations within customer environments; lead proofs of concept, deployments, executive briefings, and technical account relationships. Triage bespoke versus reusable capabilities, influence the product roadmap, and review other engineers’ work. The role requires strong cloud, containerization, data, communication, and ambiguous problem-solving skills.

Own complex enterprise sales into Fortune 2000 commercial and financial services accounts across North America. Responsibilities include building pipeline, achieving revenue targets, managing multistakeholder sales cycles, negotiating transactions, maintaining Salesforce forecasts, and communicating Sayari’s AI and data-provenance capabilities to compliance, risk, technology, and AI buyers. The role requires enterprise software or data sales experience, consistent quota performance, and approximately 30% travel.

Own complex enterprise sales across North American Fortune 2000 accounts, from pipeline development through procurement, security review, legal, negotiation, and close. Meet revenue targets, build territory plans, maintain Salesforce data, forecast accurately, and communicate Sayari’s AI, data provenance, compliance, and risk solutions to executive buyers. Provide market and customer feedback to Sales, Product, and Marketing. Travel up to 25%.

Own customer deployments of Sayari’s risk screening, graph analytics, investigation workflows, and data integrations. Responsibilities include technical scoping, production Python and SQL development, API integration, bulk data delivery, pipeline onboarding, dashboard creation, monitoring, troubleshooting, documentation, and feeding recurring customer needs back to engineering. The role requires client-facing communication, independent problem-solving, and collaboration across multiple customer accounts, with 25–30% travel and in-office time.

Coordinate end-to-end interviews across global time zones, manage Greenhouse configurations and recruiting workflows, publish weekly talent reports, track feedback and approvals, support offer-to-onboarding handoffs, and create hiring playbooks. The role partners closely with recruiters and hiring managers, serves as a key candidate contact, and improves recruiting processes and reporting.

Own and expand a book of Tier 1 financial services accounts in the Americas by driving upsell, renewals, and net-new revenue. Build strategic account plans, maintain accurate Salesforce forecasts, provide market and competitive intelligence, cultivate customer advocates, and collaborate with Pre-Sales, Legal, and InfoSec to close complex procurement cycles.

Own the variable compensation budget, forecast and report costs to executive leadership, model plan changes, and run monthly commissions cycles in Everstage. Reconcile payouts with payroll and the ledger, configure compensation plans, resolve seller disputes, maintain audit-ready documentation and dashboards, and support annual plan launches. Provide data-backed recommendations on compensation design, automate repeat processes, and ensure accurate integrations among Salesforce, HR systems, and Everstage.

The FP&A Manager will lead budgeting and forecasting, build financial models, prepare financial reports, and provide strategic analysis to senior leadership and cross-functional teams. The role serves as a financial business partner, evaluates initiatives and investments, identifies business drivers and variances, and improves planning and reporting processes. Responsibilities also include ad hoc analysis and special projects. Candidates need 5+ years of FP&A experience, strong modeling skills, advanced Excel proficiency, and excellent communication abilities.

Embed with strategic clients to design, build, and ship production Python code and data pipelines. Integrate RESTful APIs, optimize complex SQL, architect scalable data workflows, lead technical discovery and workshops, and translate operational needs into product improvements while ensuring mission-critical outcomes.