The Head of FP&A will lead the transformation of financial workflows by integrating data warehouse infrastructure and AI-driven insights. They will manage the FP&A team, drive revenue planning, and serve as a strategic partner to business leaders across the organization.
airSlate
11 Remote Job Openings at airSlate
You will develop and execute link building strategies to grow and protect the company's backlink profile. This involves sourcing high-quality donors, managing outreach, and analyzing competitor data to support demand generation goals.
You will be responsible for launching and optimizing advertising campaigns across various channels while monitoring key performance metrics like traffic, conversions, and ROAS. Additionally, you will collaborate with internal teams and external partners to identify growth opportunities and conduct experiments.
The Sales Development Representative will qualify inbound leads using the BANT framework and execute multi-channel outbound sequences to target mid-market and enterprise accounts. They will also manage activity in Salesforce and collaborate with the Account Executive team to hand off qualified appointments.
Own an AI-native product end-to-end, focusing on rapid shipping cycles and direct customer interaction. Responsible for driving activation, conversion, retention, and monetization metrics through a hypothesis-driven approach.
Lead the Payments Systems core team in integrating new payment gateways and optimizing existing systems for reliability and security. Responsibilities include managing people through 1:1s and PDPs while collaborating cross-functionally with Product and Growth teams.
Own and evolve the core agreement execution flows for SignNow, focusing on simplifying complex user journeys and integrating AI to improve efficiency. Drive measurable business impact through hypothesis definition, A/B testing, and close collaboration with cross-functional teams.
Design and implement production-grade agentic workflows, RAG pipelines, and AI-powered product experiences from the ground up. Drive the technical architecture for the AI product line, including LLM orchestration, observability, and the establishment of engineering standards.
Build and maintain the Marketing Data Model and design curated datasets that power self-serve analytics and dashboards. Ensure data quality and contribute to documentation while supporting data investigations.
The role involves designing and maintaining scalable batch data pipelines in AWS to support analytics and Machine Learning use cases, alongside developing and optimizing SQL transformations and analytical datasets for BI and predictive workloads. Responsibilities also include building reliable ETL/ELT processes, creating feature-ready datasets for ML initiatives, and contributing to CI/CD-driven MLOps workflows for model deployment.
The role involves maintaining the data platform, executing its expansion to meet analytic needs, and building and maintaining data pipelines from various sources. Responsibilities also include defining internal standards, writing performant code, and implementing the DataOps philosophy.