Sr. Business Systems Specialist
Summary
Spark is looking for a Senior Business Systems Specialist to own process improvement across our core business systems — someone who thrives on taking the tools we already have (Airtable, Intercom, Salesforce, Dialpad, Notion, Calendly, and more) and building smarter, more automated workflows on top of them. We're looking for someone who can zoom out from any single workflow and ask, "Is this even the right process to automate, or should we be solving this differently?" You'll partner directly with leadership and cross-functional teams to define the right problems to solve, build a point of view on where automation creates the most leverage for Spark, and shape the roadmap for process and AI investment across the business.
This isn't a "rip and replace" role. It's a "make what we have work harder for us" role. You'll spend your time mapping how work actually moves through our systems, finding where time and accuracy get lost, and building / redesigning those processes with automation and AI — always with an eye on how it impacts the people doing the work and the customers on the other end of it.
AI leadership is core to this role, not optional. We expect you to be fluent in applying AI to real operational problems — agents, LLM-based workflows, AI features inside our existing tools — and to help the rest of the team build that fluency too. You'll be the person others come to when they're asking "could AI help with this?" and the one who knows where AI creates real leverage versus where it doesn't.
This is a hybrid role based at our NYC or Denver office.
What you’ll do
Own workflow optimization across Spark: map how work moves through our systems, quantify where time is lost, and redesign processes with AI and automation.
Lead the integration, ongoing maintenance, and strategic enhancement of key business systems such as Intercom, Airtable, Salesforce, Dialpad, Notion, Calendly, and more. Leverage a comprehensive understanding of each platform’s capabilities and interdependencies to drive seamless, cohesive workflows across the organization.
Take full ownership of maintaining Spark’s core systems, ensuring they are fully aligned with organizational objectives, scalability requirements, and compliance standards. Drive continuous improvement to meet evolving business needs.
Collaborate with internal teams to collect, analyze, and synthesize data from diverse sources and platforms, ensuring it’s actionable and supports key decision-making processes. Provide data insights that inform strategic initiatives across departments.
Manage complex data integration projects, ensuring seamless data flow from external partners and systems into Spark’s infrastructure.
Serve as the go-to expert for internal tools, providing advanced guidance and support to teams on best practices for system usage, troubleshooting, and process optimization.
Lead the creation, editing, and maintenance of comprehensive documentation, ensuring clarity and accessibility for both technical and non-technical stakeholders. Foster cross-functional understanding and alignment through clear, concise communication.
Deploy AI where it creates measurable leverage.
What we’re looking for
5+ years of operations, consulting, or data experience
Expertise with Airtable, Salesforce, and/or Intercom
Strong technical acumen with a demonstrated ability to quickly learn and apply new tools, systems, AI, and technologies, translating technical challenges into actionable business solutions.
Demonstrated experience applying AI to real business problems - automations, agents, LLM-based workflows, or AI features inside operational tooling.
Strong track record of navigating and resolving intricate data and workflow challenges, using a combination of strategic thinking and hands-on problem-solving to drive operational improvements and deliver results.
Exceptional attention to detail
Influential cross-functional communication & stakeholder management
Ability to understand complex business logic and translate it into technical processes
Ability to continuously refine processes, adopt new technologies, and incorporate feedback
Independent & comfortable with ambiguity
Nice To Haves
Experience working with tools like Airtable, Intercom, Salesforce, Dialpad, Google Sheets, and Notion
Additional technical experience with tools like SQL, Python or BI tools
Experience building with AI APIs, agent frameworks, or automation platforms (Zapier, Make, n8n, or similar)
Experience with AI in a regulated environment, particularly healthcare
Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Spark. In accordance with New York City, Colorado, California, and other applicable laws, Spark is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity. A reasonable estimate of the current salary range is listed below. We expect most candidates to fall in the middle of the range. We also believe that your personal needs and preferences should be taken into consideration, so we allow some choice between equity and cash.
Base Salary
$115,000—$135,000 USD