Lead global post-sale implementation and program management for high-priority commercial enterprise accounts. Manage the full delivery lifecycle from kickoff to handoff, ensuring projects are completed on time and within scope.
Sayari
15 Remote Job Openings at Sayari
Act as the bridge between Product and GTM teams by translating complex technical capabilities into commercial narratives and enablement materials. Design and deliver learning experiences, certifications, and technical workshops to ensure global sales and customer success fluency.
Design and maintain scalable data pipelines using Python, Spark, and Airflow to support entity resolution engines. Collaborate with AI/ML teams to implement AI-native products and optimize complex ETL processes.
Support core accounting operations including month-end close, balance sheet reconciliations, and accounts payable/revenue workflows. Manage audit preparation and leverage AI tools to automate routine financial tasks and drive efficiency.
Lead pre-sales activities by delivering tailored product demonstrations and proof-of-value engagements to government and commercial clients. Conduct complex public data investigations and translate customer requirements into product feedback for Engineering and Product teams.
Manage the health, retention, and strategic growth of high-value financial accounts while driving the renewal process. Act as a technical advisor to help customers leverage the platform for AML, Sanctions, and TPRM use cases.
The Services Analyst acts as a trusted advisor to customers, delivering high-quality compliance reports and investigative deliverables. They are responsible for conducting risk screenings, designing customer training, and providing product feedback to engineering teams.
Architect and lead the end-to-end digital demand generation strategy across Enterprise, Government, and Financial Services segments to drive predictable pipeline. Manage a team of three and leverage AI-native tools to optimize campaigns and align digital demand with field execution.
The Strategic Account Executive will manage a diverse book of enterprise commercial accounts in the Americas to drive product adoption and revenue expansion. Responsibilities include developing strategic account plans, maintaining accurate Salesforce data, and identifying upsell and cross-sale opportunities.
You will lead the development of specialized judge models and evaluation frameworks to ensure the trustworthiness of AI systems in high-consequence analytical work. This role involves owning the full lifecycle of evaluation data and collaborating cross-functionally to translate statistical uncertainty into actionable product signals.
The Senior Data Engineer will build and maintain ETL pipelines to process record data for the Sayari Graph application. They will also develop entity resolution processes and implement logic to calculate and export risk information.
The Account Manager will develop a deep understanding of client mission sets and create strategic account plans to drive revenue growth. Responsibilities also include maintaining Salesforce data and providing reliable forecasts to management.
The role involves architecting and executing scalable enablement programs focused on Enterprise soft skills, MEDDPICC methodology, and operational rigor to accelerate revenue growth. This includes owning the Sayari Academy LMS, leading revenue onboarding to ramp sellers within 90 days, and creating innovative training assets.
The Forward Deployed Engineer will embed within strategic client environments to solve high-stakes problems, owning the last mile of product impact by architecting data pipelines and writing production Python code for integration. They will act as a vital conduit, translating bespoke solutions and operational feedback from the front lines into scalable, platform-wide features for the core engineering teams.
The Senior Applied Scientist will own domain-specific model development end-to-end, including designing and executing fine-tuning strategies and owning the experimentation cycle through production deployment. Responsibilities also involve building and refining data collection and labeling strategies, evaluating base models, and deploying fine-tuned models using cloud ML platforms.
