Jasper is the marketing agents platform, built to help enterprises orchestrate AI agents that execute marketing work at scale. Purpose-built for marketing teams, Jasper enables faster, more consistent execution across campaigns, personalization, localization, and compliance—while maintaining enterprise-grade control and governance.
Jasper is trusted by hundreds of enterprises worldwide, including Prudential, Cushman & Wakefield, and nearly 20% of the Fortune 500. Founded in 2021, Jasper has team members across the U.S., Australia, and France.
About The Role
As a Staff Software Engineer at Jasper, you will drive the technical vision and architecture for the integration pod within our IQ team. Integrations are how Jasper securely accesses and activates data from external systems — like Salesforce and HubSpot — and that data powers our IQ layer, which is critical to the quality and consistency of the output that sits on top of our LLM experiences. In short, the systems you architect directly shape how good, how trustworthy, and how differentiated Jasper's AI output is for our customers.
This is a high-leverage role. You'll set the technical direction for how we ingest and model external data, navigate the real-world constraints of connecting to many disparate systems (API limits, security and compliance concerns, customer-specific requirements), and define the context primitives in the IQ layer that depend on that data. Beyond your own initiatives, you'll set the bar for engineering excellence on the team, help chart the right sequence of projects and architectural goals, and contribute to the broader org-level technical vision.
This is a fully remote role and is open to candidates located anywhere in the continental US.
What you will do at Jasper
Own the technical vision and architecture for the integration pod, defining how Jasper connects to and ingests data from external systems such as Salesforce and HubSpot
Architect data ingestion and integration systems that account for the differing constraints of each external system — including API rate limits, authentication, and security concerns
Design and evolve the context primitives in the IQ layer that depend on external data, and scope the additional engineering work needed to support them
Partner across the team to address customer-specific integration and design concerns, translating unique requirements into scalable, maintainable solutions
Proactively understand the business needs of the team, produce a concrete plan of action, and drive it to completion — setting an example for how staff-level work gets done
Help the team navigate the right set of next projects and architectural goals, and contribute to the org-level technical vision as needed
Research and propose concrete plans for architectural improvements and upgrades, weighing trade-offs and building alignment across stakeholders
What you will bring to Jasper
8+ years of software engineering experience, with a track record of operating at a staff/principal level of scope and influence
Demonstrated experience leading major technical initiatives to the finish line — and having stayed long enough afterward to understand and articulate their real-world consequences and trade-offs
Deep expertise in designing and building integration and data-ingestion systems that connect to multiple external systems with differing constraints (API limits, authentication, security, and compliance)
Strong distributed systems fundamentals and the ability to architect for reliability, scalability, and maintainability
AI fluency — a working understanding of core AI concepts (LLMs, agents, copilots, tokens, credits, context windows, RAG, data governance, etc.), applied in the context of building and architecting AI-powered engineering systems
A proactive, ownership-driven mindset: you identify what the business needs, produce a concrete plan, and execute — while raising the bar for those around you
Excellent technical judgment and communication skills, with the ability to align teams and stakeholders around architectural direction
Familiarity with the systems and tools that marketers rely on (e.g., CRMs and marketing platforms like Salesforce and HubSpot) — though this can also be learned on the job
Experience building the data foundations that power LLM-based or AI-driven product experiences
Compensation Range
At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $238,000 - $280,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.
Benefits & Perks
Comprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families
401(k) program with up to 2% company matching
Equity grant participation
Flexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from work
FlexWellness program ($1,800 annually) to help support your personal health goals
Generous budget for home office set up
$1,500 annual learning and development stipend
16 weeks of paid parental leave
Our goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills.
We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.
By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.